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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2017.01022</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of Mobile Text Advertising on Consumer Purchase Intention: A Moderated Mediation Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hongyan</surname> <given-names>Lin</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/412833/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhankui</surname> <given-names>Chen</given-names></name>
</contrib>
</contrib-group>
<aff><institution>School of Economics and Management, Xiamen University of Technology</institution> <country>Xiamen, China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Monica Gomez-Su&#x000E1;rez, Universidad Autonoma de Madrid, Spain</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Carmen Pacheco-Bernal, Open University of Catalonia, Spain; Gonzalo Moreno, Saint Louis University Madrid Campus, Spain</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Lin Hongyan <email>linhongyan&#x00040;xmut.edu.cn</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>06</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1022</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>02</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>06</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Hongyan and Zhankui.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Hongyan and Zhankui</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>Mobile shopping is increasing in prevalence and has become a necessary part of many people&#x00027;s daily lives. However, one main channel for mobile shopping, mobile shopping applications (apps), has not been thoroughly investigated. This study focused on mobile text advertising delivered from mobile shopping apps using the intention to purchase as the dependent variable for testing its marketing effect. In the context of a promotion focus vs. a prevention focus, we used Higgins&#x00027; regulatory focus theory combined with Ajzen&#x00027;s TPB and Herzog&#x00027;s U&#x00026;G to analyze the mechanism by which consumers formulate an intention to purchase in a mobile advertising context. This empirical study surveyed 320 consumers who had made a purchase using a mobile shopping app in the previous month. The results showed that infotainment, irritation, and subjective norms were significantly associated with attitudes; in turn, attitudes mediated the impact of these three factors on the intention to purchase. Moreover, a high promotion focus not only strengthened the positive effect of infotainment on attitudes but also intensified the mediation effect of attitudes between infotainment and the intention to purchase. A high prevention focus also consolidated the negative effect of irritation on attitudes as well as reinforced the mediation effect of attitudes between irritation and the intention to purchase. Furthermore, attitudes, subjective norms, and perceived behavioral control collectively impacted the intention to purchase. These findings shed light on ways to customize goods information in mobile advertising and have strong theoretical and practical implications.</p></abstract>
<kwd-group>
<kwd>mobile text advertising</kwd>
<kwd>infotainment</kwd>
<kwd>irritation</kwd>
<kwd>regulatory focus</kwd>
<kwd>attitudes</kwd>
<kwd>intention to purchase</kwd>
</kwd-group>
<contract-num rid="cn001">FJ2016B082</contract-num>
<contract-num rid="cn001">FJ2015B231</contract-num>
<contract-num rid="cn002">JAS150418</contract-num>
<contract-sponsor id="cn001">Society and Science Union Project of Fujian Province, P.R. China</contract-sponsor>
<contract-sponsor id="cn002">Project of Education Department of Fujian Province, P.R. China<named-content content-type="fundref-id">10.13039/501100003410</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="96"/>
<page-count count="14"/>
<word-count count="10881"/>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>With the rapid development of the mobile internet, consumers use smartphones not only for communication but also for other activities, such as surfing the web and participating in mobile business. Mobile shopping has become a natural extension of traditional online shopping, thereby achieving multi-scene synchronous shopping (Ngai and Gunasekaran, <xref ref-type="bibr" rid="B67">2007</xref>). According to the latest statistics from the China Internet Network Information Center(CNNIC, <xref ref-type="bibr" rid="B23">2017</xref>), Chinese cell phone cybercitizens now number 695 million, which is 95.1 percent of the total number of people in China who use the internet. Moreover, 441 million users are mobile shoppers. Online shopping platforms, such as Amazon, Taobao, and JD, have exerted considerable effort toward developing mobile business, including developing mobile shopping applications (apps) (Yang et al., <xref ref-type="bibr" rid="B94">2015</xref>). In general, downloading these apps can only be done with the permission of users. Thus, the mobile apps in a user&#x00027;s smartphone have generally been downloaded voluntarily. Such apps are widely used (Lee and Santanam, <xref ref-type="bibr" rid="B54">2014</xref>). For example, Taobao is an open market similar to Amazon. It was developed by the largest Chinese retail trading platform, the Alibaba Group. The Taobao app was launched in 2011. Chinese mobile apps have gradually become commonplace in the past few years. Furthermore, a number of apps facilitate the delivery of advertising content (Grewal et al., <xref ref-type="bibr" rid="B38">2016</xref>). A statistical analysis showed that the United States had more than &#x00024;19 billion in investments in the mobile advertising market in 2015, a figure expected to exceed &#x00024;65 billion by 2019 (eMarketer, <xref ref-type="bibr" rid="B33">2015</xref>). The growth of the world market is similar to that of the United States. eMarketer (<xref ref-type="bibr" rid="B33">2015</xref>) predicted that &#x00024;100 billion will be invested in mobile advertising in the world market by 2016. Yet, to our knowledge, there are no previous studies on the effectiveness of mobile text advertising from apps.</p>
<p>Smartphones and other mobile devices have achieved a high degree of personalization and have become vital communication tools; most users constantly keep them nearby, even when they sleep (Bacile et al., <xref ref-type="bibr" rid="B11">2014</xref>). Such devices grant consumers ubiquitous access to digital information at any time and any place; thus, these devices also allow marketers a great opportunity to reach consumers directly and constantly and to analyze their needs (Grewal et al., <xref ref-type="bibr" rid="B38">2016</xref>). Hence, these devices make personalized advertising services possible. But, the consumer&#x00027;s attention is limited. Companies that sent a large number of advertisements to users found that this was not a good marketing method (Stewart and Paul, <xref ref-type="bibr" rid="B83">2002</xref>). The issue of how to optimize the sending of suitable mobile advertising to targeted users is thought-provoking.</p>
<p>Most research on mobile advertising used either the theory of reasoned action or the theory of acceptance model to examine the influence of a technique&#x00027;s characteristics, (e.g., its perceived usefulness and perceived ease of use), information characteristics, and perceived value on consumers&#x00027; attitudes, adoption, or intention to use (Tsang et al., <xref ref-type="bibr" rid="B85">2004</xref>; Kim et al., <xref ref-type="bibr" rid="B51">2007</xref>; Liu et al., <xref ref-type="bibr" rid="B60">2012</xref>; Muk and Chung, <xref ref-type="bibr" rid="B66">2015</xref>). However, a few empirical studies have developed their mobile advertising research from the perspective of other individual characteristics, such as regulatory focus. Recent sociological studies indicate that the regulatory focus level of individuals considerably affects their behavior, a finding which has been partially validated for environmental advertising (Bhatnagar and McKay-Nesbitt, <xref ref-type="bibr" rid="B17">2016</xref>). But, studies about the impact of commercial mobile advertising on the intention to purchase have seldom been conducted (Bart et al., <xref ref-type="bibr" rid="B14">2014</xref>).</p>
<p>This research attempted to tackle this deficiency by applying regulatory focus theory (RFT), theory of planned behavior (TPB), and uses and gratifications theory (U&#x00026;G) to investigate the purchase intention of consumers after they had received commercial mobile advertising. The subjects were people who had recently purchased products using a mobile shopping app. The research model is shown in Figure <xref ref-type="fig" rid="F1">1</xref>. Specifically, (1) in the antecedents of attitudes section, as illustrated on the left side of the diagram, this study investigated whether infotainment and irritation would be the key factors affecting consumer attitudes toward mobile text advertising. (2) The outcomes section portrayed on the right side investigated whether the TPB applies to a mobile advertising environment, that is to say, whether consumer attitudes toward mobile text advertising, subjective norms, and perceived behavioral control influence a consumer&#x00027;s intention to purchase mobile advertised goods. (3) At the same time, based on the RFT, as also indicated on the left side of the model diagram in Figure <xref ref-type="fig" rid="F1">1</xref>, this study investigated whether a high promotion focus would not only strengthen the positive effect of infotainment on attitudes toward mobile text advertising but would also intensify the mediation effect of attitudes between infotainment and the intention to purchase. Would a high prevention focus also consolidate the negative effect of irritation on attitudes toward mobile text advertising as well as reinforcing the mediation effect of attitudes between irritation and intention to purchase? In addition, in the empirical section, the research model was examined by structural equation modeling (Anderson and Gerbing, <xref ref-type="bibr" rid="B9">1988</xref>) and a bootstrapping method (Edwards and Lambert, <xref ref-type="bibr" rid="B31">2007</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Research Model. IF &#x0003D; infotainment, IR &#x0003D; irritation, PR &#x0003D; promotion focus, PRE &#x0003D; prevention focus, AT &#x0003D; attitudes, SN &#x0003D; subjective norms, PBC &#x0003D; perceived behavior control, ITP &#x0003D; intention to purchase the advertised product.</p></caption>
<graphic xlink:href="fpsyg-08-01022-g0001.tif"/>
</fig>
<p>Different types of mobile advertising, such as video, multimedia, text advertisements, mobile display advertising, and short message service (SMS), are available. In general, the communication methods used in mobile advertising can be categorized into push and pull types (Park et al., <xref ref-type="bibr" rid="B71">2008</xref>). (1) Push-based advertising is frequently delivered as an SMS. If a user is interested in the advertisement, s/he can click a link in the SMS to browse for additional information. (2) Pull-based advertising, which can be browser-based or within-app advertising, guides users to a mobile website and then provides interactive choices to understand their habits and preferences (Molitor et al., <xref ref-type="bibr" rid="B65">2012</xref>; Zubcsek et al., <xref ref-type="bibr" rid="B96">2016</xref>). The present study focused on push text advertising from a mobile shopping app for two reasons. First, such advertising is convenient for consumers to read and save, but, browsing a website and selecting goods generally take considerable time. However, push advertising is sent by companies and can be saved. Users can read these advertisements at any time. Second, permission-based advertising information can reduce consumer irritation (McCoy et al., <xref ref-type="bibr" rid="B63">2008</xref>). Mobile push advertising is generally sent with the users&#x00027; permission. Thus, push advertising is beneficial for forming a positive attitude and intention to purchase. Therefore, this study is consistent with actual marketing situations and can satisfy the practical needs of companies.</p>
<p>The contributions of this research are primarily in two areas. First, this study employed RFT, TPB, and U&#x00026;G to explore the formation of consumer purchase intention in mobile shopping apps. Secondly, it tested for moderated effects and moderated mediation effects in the mobile text advertising context.</p>
</sec>
<sec id="s2">
<title>Literature review and hypotheses</title>
<sec>
<title>Uses and gratifications theory (U&#x00026;G)</title>
<p>U&#x00026;G theory examines the psychological and behavioral utility produced by using mass communication and analyzes the use of motivating and need-satisfying information by audiences. Previous studies concluded that entertainment, informativeness, and irritation are vital dimensions of U&#x00026;G (Ha et al., <xref ref-type="bibr" rid="B39">2014</xref>). This theory has been widely used in consumer motivation research on traditional media and has made a substantial contribution to the field (Eighmey and McCord, <xref ref-type="bibr" rid="B32">1998</xref>). Moreover, Ducoffe (<xref ref-type="bibr" rid="B30">1996</xref>) and Tsang et al. (<xref ref-type="bibr" rid="B85">2004</xref>) assumed that entertainment, informativeness, and irritation were related to consumer attitudes when browsing website and mobile advertisements. In this study, we investigated the impacts of informativeness, entertainment, and irritation on consumer attitudes after receiving mobile advertising from an app. This application to mobile advertising is a reasonable extension of U&#x00026;G theory.</p>
<p>Entertainment and informativeness are interpenetrations in the new technologies (Wang and Sun, <xref ref-type="bibr" rid="B89">2010</xref>). Hence, they can be integrated into one concept: infotainment (Okazaki, <xref ref-type="bibr" rid="B68">2004</xref>). Studies show that whether the internet or mobile networks are involved, infotainment has a positive impact on attitudes, but irritation has a negative one (Okazaki, <xref ref-type="bibr" rid="B68">2004</xref>; Shankar and Balasubramanian, <xref ref-type="bibr" rid="B79">2009</xref>). Recent research also suggested that, as the intelligence of mobile functions increases, users will be able to increase their control of advertising information; consequently, the negative influence of irritation on consumer attitudes will also decrease (Watson et al., <xref ref-type="bibr" rid="B90">2013</xref>). However, the way that these effects change has seldom been discussed. In this study, a promotion focus was investigated as a possible moderator of the positive effect of infotainment on attitudes toward mobile text advertising, whereas a prevention focus was investigated as possibly moderating the negative effect of irritation on attitudes toward mobile text advertising.</p>
<sec>
<title>Infotainment</title>
<p>Information is a valuable incentive in mobile marketing because recipients of information tend to respond positively to advertising (Aitken et al., <xref ref-type="bibr" rid="B2">2008</xref>). Therefore, informativeness, which primarily refers to the degree of information richness and the usefulness of a provided advertising media, is part of the infotainment construct (Ducoffe, <xref ref-type="bibr" rid="B30">1996</xref>). Consumers expect information content that fits their interests (Robins, <xref ref-type="bibr" rid="B75">2003</xref>) as well as information that is related to their own preferences and interests (Milne and Gordon, <xref ref-type="bibr" rid="B64">1993</xref>) when they connect with mobile services. Some researchers have maintained that receiving suitable information from advertisers does not anger consumers (Varshney, <xref ref-type="bibr" rid="B86">2003</xref>). At the same time, other researchers have shown that if advertising providers provide pleasant, relevant, and informative advertisements, the consumers&#x00027; intention to purchase may increase (Scharl et al., <xref ref-type="bibr" rid="B77">2005</xref>). Entertainment can deeply move customers and further familiarize them with the available services or goods (Liu et al., <xref ref-type="bibr" rid="B60">2012</xref>). Thus, entertainment constitutes the other aspect of the infotainment concept.</p>
<p>Early research revealed that interesting and pleasurable advertising can actively influence attitude (Shimp, <xref ref-type="bibr" rid="B81">1981</xref>). Moreover, a feeling of enjoyment was found to be central to a consumer&#x00027;s attitudes (Shavitt et al., <xref ref-type="bibr" rid="B80">1998</xref>). Zhang and Mao (<xref ref-type="bibr" rid="B95">2008</xref>) held that perceived informativeness and perceived entertainment were components of perceived utility, and Rohm et al. (<xref ref-type="bibr" rid="B76">2012</xref>) explored the issue of whether perceived utility was a determinant of attitude toward mobile marketing. Furthermore, recent research showed that advertisements with more information than usual and a high level of entertainment can be readily accepted (Lin et al., <xref ref-type="bibr" rid="B58">2014</xref>, <xref ref-type="bibr" rid="B59">2016</xref>).</p>
<p>In this study, we investigated the attitudes toward mobile text advertising (branded communication). This topic is worth exploring because mobile advertising is a new and effective form of media advertisement. According to the latest forecast by eMarketer (<xref ref-type="bibr" rid="B34">2017</xref>), most of the Chinese advertising expenditures in the future will be invested in mobile advertising. Because a mobile device is a private good, such advertising can easily be delivered to targeted customers. At the same time, because it can conveniently be accessed and saved, mobile text advertising via apps has become a common marketing tool for a number of companies. Thus, discussing customers&#x00027; attitudes toward mobile text advertising is valuable.</p>
<p>Furthermore, users seem to feel that voluntarily downloaded apps are useful and valuable (Kang, <xref ref-type="bibr" rid="B49">2014</xref>), and their attitudes toward them may be positive, even without any mobile text advertising. In addition, users&#x00027; attitudes toward branded products are heavily influenced by their attitudes toward mobile advertising (Drossos et al., <xref ref-type="bibr" rid="B28">2013</xref>). According to U&#x00026;G theory, if users are satisfied with one type of mobile advertising, they will be likely to accept the included products brand information and buy the product. Therefore, attitudes toward mobile text advertising are the determinant of the intention to purchase. Focusing on the attitudes toward mobile text advertising is, therefore, worthwhile and suitable.</p>
<p>Based on the above, Hypothesis 1 was:</p>
<list list-type="simple">
<list-item><p>H1: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, consumers&#x00027; attitudes toward mobile text advertising will be positively related to their perception of the infotainment level of this text advertisement.</p></list-item>
</list>
</sec>
<sec>
<title>Irritation</title>
<p>Irritation in the context of advertising can be described as the way that such advertising annoys consumers (Liu et al., <xref ref-type="bibr" rid="B60">2012</xref>). The primary cause of criticisms of advertising is that it is an irritation (Bauer and Greyser, <xref ref-type="bibr" rid="B15">1968</xref>).</p>
<p>When mobile advertising first began, the negative impact of irritation on consumer attitudes was considered to be great. &#x0201C;When advertising employs techniques that annoy, offend, insult, or are overly manipulative, consumers are likely to perceive it as an unwanted and irritating influence&#x0201D; (Ducoffe, <xref ref-type="bibr" rid="B29">1995</xref>). Subsequently, Siau and Shen (<xref ref-type="bibr" rid="B82">2003</xref>) claimed that common people were unfamiliar with the concept of mobile commerce and were skeptical about the feasibility and security of mobile advertising. Moreover, when consumers received an excessive number of advertisements from a provider, it disturbed them (Bruner and Kumar, <xref ref-type="bibr" rid="B20">2007</xref>). More recently, with the improvement of the smartphone, others argued that, although the irritation of SMS negatively affects attitudes in a mobile context (Liu et al., <xref ref-type="bibr" rid="B60">2012</xref>), the extent is less than before (McCoy et al., <xref ref-type="bibr" rid="B63">2008</xref>). Thus, the following hypothesis was formulated:</p>
<list list-type="simple">
<list-item><p>H2: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, consumers&#x00027; attitudes toward mobile text advertising will be negatively related to their perception of the irritation level of this text message.</p></list-item>
</list>
</sec>
</sec>
<sec>
<title>Theory of planned behavior (TPB)</title>
<p>Ajzen (<xref ref-type="bibr" rid="B3">1985</xref>) proposed a general model, the TPB, to explain the unique behavior of individuals. It reflects an individual&#x00027;s beliefs, attitudes, and intentions. The TPB is an extension of the theory of reasoned action (Ajzen and Fishbein, <xref ref-type="bibr" rid="B5">1975</xref>, <xref ref-type="bibr" rid="B6">1980</xref>). In the expectations&#x02013;value model (Fishbein and Ajzen, <xref ref-type="bibr" rid="B35">1974</xref>), attitudes are considered to be the consequence of individual beliefs. Subjective norms refer to the extent that the perception of opinions from his/her reference groups, such as friends and colleagues, impact an individual&#x00027;s behavior (Schofield, <xref ref-type="bibr" rid="B78">1974</xref>). Perceived behavioral control refers to an individual&#x00027;s subjective appraisal of their own ability and their opportunities to carry out a specific behavior (Ajzen and Madden, <xref ref-type="bibr" rid="B7">1986</xref>). Intention is another vital indicator of an individual&#x00027;s behavior (Ajzen, <xref ref-type="bibr" rid="B4">1991</xref>). The TPB holds that an individual&#x00027;s behavior is impacted by her/his beliefs, attitudes, subjective norms, and other uncontrollable factors (Crespo and Bosque, <xref ref-type="bibr" rid="B24">2008</xref>). In this study, these three variables were used to investigate the consumer&#x00027;s intention to purchase the advertised product. These variables have been used in several previous studies to explore online consumer behavior intention (Luarn and Lin, <xref ref-type="bibr" rid="B62">2005</xref>; Kim et al., <xref ref-type="bibr" rid="B52">2011</xref>; Lin and Chen, <xref ref-type="bibr" rid="B57">2015</xref>).</p>
<p>An individual&#x00027;s attitude tends to be a determinant of his/her behavioral intention (Ajzen and Fishbein, <xref ref-type="bibr" rid="B5">1975</xref>). Many studies have showed a positive relationship between the attitude toward an advertisement and an intention to purchase (Drossos et al., <xref ref-type="bibr" rid="B28">2013</xref>). Subjective norms were found to play an important role in predicting people&#x00027;s intention to consume fast food (Bagozzi et al., <xref ref-type="bibr" rid="B12">2000</xref>) and have been perceived as positively shaping young Chinese people&#x00027;s intention to use mobile services (Zhang and Mao, <xref ref-type="bibr" rid="B95">2008</xref>). Following the TPB, this study assumed that attitudes, subjective norms, and perceived behavioral control affect a consumer&#x00027;s purchase intention. Moreover, attitude is typically influenced by the opinions of others (Kim et al., <xref ref-type="bibr" rid="B50">2013</xref>). Thus, the following hypotheses were investigated:</p>
<list list-type="simple">
<list-item><p>H3: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, consumer attitudes toward mobile text advertising will have a positive influence on their intention to purchase.</p></list-item>
<list-item><p>H4: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, consumer&#x00027;s intention to purchase will be positively impacted by their perception of their degree of behavioral control.</p></list-item>
<list-item><p>H5: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, consumer&#x00027;s subjective norms will impact their intention to purchase.</p></list-item>
<list-item><p>H6: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, a consumer&#x00027;s subjective norms will predict their attitudes toward mobile text advertising.</p></list-item>
</list>
</sec>
<sec>
<title>Regulatory focus theory (RFT)</title>
<p>RFT is a goal pursuit theory. It was articulated by Higgins et al. (<xref ref-type="bibr" rid="B45">1997</xref>) to address people&#x00027;s perceptions during their decision-making process. Higgins (<xref ref-type="bibr" rid="B43">2000</xref>) believed that the consumer decision process stems from a variety of motives. Motivation can be divided into two types: one is to achieve a desired goal, and the other is to avoid an appearance of negative results (Lockwood et al., <xref ref-type="bibr" rid="B61">2002</xref>; Das, <xref ref-type="bibr" rid="B26">2016</xref>). RFT proposes that regulatory focus is a special propensity of individuals when they self-regulate to achieve their goals (Higgins et al., <xref ref-type="bibr" rid="B45">1997</xref>; Brockner et al., <xref ref-type="bibr" rid="B19">2004</xref>). RFT is a chronic manifestation and includes promotion focus and prevention focus, two independent orientations. Promotion focus refers to people&#x00027;s motivation to seek pleasure and is related to an ideal target, that is, that they can obtain a desired outcome. During self-regulation, a radical strategy is required to maximize the probability of obtaining a positive outcome, such as improving the benefit (Crowe and Higgins, <xref ref-type="bibr" rid="B25">1997</xref>; Freitas, <xref ref-type="bibr" rid="B37">2002</xref>). Meanwhile, prevention focus refers to people&#x00027;s motivation to avoid pain and is related to a &#x0201C;should be&#x0201D; target, that is, that they should experience no loss or punishment. A prevention focus usually generates a cautious strategy to minimize the occurrence of a negative outcome, such as reducing a loss (Crowe and Higgins, <xref ref-type="bibr" rid="B25">1997</xref>; Kirmani and Zhu, <xref ref-type="bibr" rid="B53">2007</xref>; Lee et al., <xref ref-type="bibr" rid="B55">2014</xref>). Although a person&#x00027;s regulatory focus is a long-term personality trait, it can be triggered to impact a temporary motivation in a specific situation (Wilson and Ross, <xref ref-type="bibr" rid="B91">2000</xref>; Lockwood et al., <xref ref-type="bibr" rid="B61">2002</xref>).</p>
<p>RFT has been widely used in the field of consumer behavior (Avnet and Higgins, <xref ref-type="bibr" rid="B10">2006</xref>; Wang and Sun, <xref ref-type="bibr" rid="B89">2010</xref>; Ouyang et al., <xref ref-type="bibr" rid="B69">2015</xref>). Scholars have found that promotion and prevention focuses significantly influence consumer decision making (Lee and Santanam, <xref ref-type="bibr" rid="B54">2014</xref>; Das, <xref ref-type="bibr" rid="B26">2016</xref>). According to RFT, a prevention focus causes consumers to perceive a loss from utilizing bundled sales to be higher than it really is (Lin and Huang, <xref ref-type="bibr" rid="B56">2011</xref>), whereas a promotion focus encourages consumers to be more mindful of future results (Joireman et al., <xref ref-type="bibr" rid="B48">2012</xref>). Furthermore, individuals&#x00027; promotion and prevention focuses have different effects on their intention to purchase, on their participation in online product reviews, and on their willingness to spread a positive word of mouth (Das, <xref ref-type="bibr" rid="B26">2016</xref>). Most of these studies primarily involved Western consumers and are more directed toward traditional and internet marketing environments. Relatively little research exists on Asian consumers in the mobile marketing environment (Zhang and Mao, <xref ref-type="bibr" rid="B95">2008</xref>; Lin and Chen, <xref ref-type="bibr" rid="B57">2015</xref>). This study focused on the different motivations of Chinese consumers in response to mobile text advertising and explored the manner in which a promotion focus or a prevention focus can affect purchasing decisions.</p>
<sec>
<title>Moderation effect</title>
<p>According to RFT, when the type of regulatory focus matches the implemented strategy, individuals evaluate that strategy highly and have positive attitudes (Wang and Lee, <xref ref-type="bibr" rid="B88">2006</xref>). Therefore, some researchers proposed that companies should emphasize different aspects when facing different consumers. Specifically, acquiring greater potential revenue will attract promotion focus consumers, whereas avoiding potential losses will draw prevention focus consumers (Higgins, <xref ref-type="bibr" rid="B43">2000</xref>; Wang and Lee, <xref ref-type="bibr" rid="B88">2006</xref>; Park and Morton, <xref ref-type="bibr" rid="B70">2015</xref>). Moreover, other scholars argued that a high level of promotion focus will result in the consumers&#x00027; high evaluation of hedonic goods (Hassenzahl et al., <xref ref-type="bibr" rid="B41">2008</xref>). Thus, we supposed that high promotion focus individuals will be inclined to take positive measures to add to their enjoyment; thus, the influence of infotainment on attitudes will be intensified. However, people with a high prevention focus will tend to take protective actions to avoid possible loss, thus the negative impact of irritation on their attitudes will be strengthened. The hypotheses are as follows:</p>
<list list-type="simple">
<list-item><p>H7a: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, a high promotion focus will strengthen the positive relationship between infotainment and attitudes toward mobile text advertising.</p></list-item>
<list-item><p>H7b: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, a high prevention focus will strengthen the negative relationship between irritation and attitudes toward mobile text advertising.</p></list-item>
</list>
</sec>
<sec>
<title>Moderated mediation effect</title>
<p>Consequently, promotion focus consumers will be inclined toward using promotion strategies to increase pleasure and attain their goals, whereas prevention focus consumers will tend to use protection strategies to avoid losses. In particular, the infotainment of mobile text advertising can be expected to allow the promotion focus consumers to form more positive attitudes and a greater intention to purchase, whereas irritation stemming from mobile text advertising will generate more negative attitudes and reduce the intention to purchase in prevention focused individuals. Thus, we assumed:</p>
<list list-type="simple">
<list-item><p>H8a: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, having a promotion focus will moderate the mediation effect of attitudes toward mobile text advertising between infotainment and the intention to purchase, such that, when the promotion focus is high, the mediation effect of attitude will be strong.</p></list-item>
<list-item><p>H8b: Upon receiving a text advertisement from a previously voluntarily downloaded shopping app, having a prevention focus will moderate the mediation effect of attitudes toward mobile text advertising between irritation and the intention to purchase, such that, when the prevention focus is high, the mediation effect of attitude will be strong.</p></list-item>
</list>
</sec>
</sec>
</sec>
<sec id="s3">
<title>Research design</title>
<p>One common form of current commercial activity&#x02014;mobile shopping apps&#x02014;was selected as the source of mobile advertising information. A survey that was aimed to measure their response was given to a group of consumers after they received a text advertisement. An electronic questionnaire was used for data collection. Each participant was chosen randomly if he or she had previously had a shopping experience with a famous Chinese mobile shopping app, Taobao, and had purchased products from the same app at least once in the previous month.</p>
<sec>
<title>Data collection</title>
<p>The investigated app was the Taobao app. Its usage percentage in China was 24.1% by the end of 2016 (CNNIC, <xref ref-type="bibr" rid="B23">2017</xref>). By the latest statistics from China Internet Network Information Center (CNNIC, <xref ref-type="bibr" rid="B23">2017</xref>), the structure of total Chinese cybercitizens is as follows: the male to female ratio is 52:48; 30.3% are aged 20&#x02013;29, 23.2% are aged 30&#x02013;39; 11.5% hold a bachelor&#x00027;s degree; 25% are students, and 64.3% are currently employed.</p>
<p>According to investigational results from one Chinese mobile data business service company, Questmobile, the Taobao app had up to 406 million subscribers by the first quarter of 2017 (QuestMobile, <xref ref-type="bibr" rid="B74">2017</xref>). The demographic profile of its users in China, as of May 2016 was as follows: 49% male, 51% female and 72% of the users were aged 18&#x02013;34. We have no reason to doubt that this is representative of Chinese shopping apps.</p>
<p>The number of people who responded to the questionnaire was 431, but 81 did not meet the two requirements after answering the first two questions, so they were not permitted to continue with the survey. Thus, a total of 350 respondents finished our survey with 320 valid questionnaires (a response rate of 74%). 171 (53%) were female, and 149 (47%) were male. Most of the participants were young; 240 (75%) respondents were aged 22 to 35 years. In terms of educational attainment, 234 (73%) of the respondents had a bachelor&#x00027;s degree. Moreover, 243 (76%) respondents were employed. The characteristics of these investigated data are broadly consistent with the total population of Taobao app users, so we believe that our data is a representative sample.</p>
</sec>
<sec>
<title>Measurement</title>
<p>All of the measurement items in this study were adopted from previous research. The promotion and prevention focus scales are from Higgins et al. (<xref ref-type="bibr" rid="B44">2001</xref>) as translated by Ouyang et al. (<xref ref-type="bibr" rid="B69">2015</xref>) into a Chinese context to give them better credibility and reliability. This study directly used their scales to appropriately assess Chinese consumers. We translated the remaining scales from English to Chinese and implemented a back-translation to ensure the consistency and clarity of the questions&#x00027; expression (Brislin, <xref ref-type="bibr" rid="B18">1980</xref>). To examine the content validities, the translated questionnaire was assessed by two bilingual faculty members. A pretest was conducted to simplify the questions and to ensure that they precisely measured the concepts. Based on the feedback, confusing items were revised. The Cronbach&#x00027;s alpha for all the items was 0.89, which is considerably higher than 0.70, which was the level suggested by Hollis et al. (<xref ref-type="bibr" rid="B46">1978</xref>) as acceptable. The main variable measurement items are listed in Table <xref ref-type="table" rid="T1">1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Main variable measurement items, reliability and factor loadings.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Construct</bold></th>
<th valign="top" align="left"><bold>Items</bold></th>
<th valign="top" align="center"><bold>Standard factor loading</bold></th>
<th valign="top" align="center"><bold>C.R</bold>.</th>
<th valign="top" align="center"><bold>AVE</bold></th>
<th valign="top" align="center"><bold>&#x003B1;</bold></th>
<th valign="top" align="left"><bold>Source</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>IFE</bold></td>
<td valign="top" align="left"><bold>Infotainment</bold></td>
<td/>
<td valign="top" align="center"><bold>0.92</bold></td>
<td valign="top" align="center"><bold>0.75</bold></td>
<td valign="top" align="center"><bold>0.89</bold></td>
<td valign="top" align="left">Ducoffe, <xref ref-type="bibr" rid="B30">1996</xref></td>
</tr>
<tr>
<td valign="top" align="left">IFE1</td>
<td valign="top" align="left">The mobile text advertising was entertaining.</td>
<td valign="top" align="center">0.88</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IFE2</td>
<td valign="top" align="left">The mobile text advertising was enjoyable.</td>
<td valign="top" align="center">0.85</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IFE3</td>
<td valign="top" align="left">The mobile text advertising was pleasing.</td>
<td valign="top" align="center">0.87</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IFE4</td>
<td valign="top" align="left">The mobile text advertising was a good source of up-to-date product information.</td>
<td valign="top" align="center">0.85</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>IR</bold></td>
<td valign="top" align="left"><bold>Irritation</bold></td>
<td/>
<td valign="top" align="center"><bold>0.95</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="center"><bold>0.93</bold></td>
<td valign="top" align="left">Tsang et al., <xref ref-type="bibr" rid="B85">2004</xref></td>
</tr>
<tr>
<td valign="top" align="left">IR1</td>
<td valign="top" align="left">Mobile text advertising is everywhere.</td>
<td valign="top" align="center">0.91</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IR2</td>
<td valign="top" align="left">The mobile text advertising was annoying.</td>
<td valign="top" align="center">0.94</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IR3</td>
<td valign="top" align="left">The mobile text advertising was irritating.</td>
<td valign="top" align="center">0.95</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>PRO</bold></td>
<td valign="top" align="left"><bold>Promotion focus</bold></td>
<td/>
<td valign="top" align="center"><bold>0.85</bold></td>
<td valign="top" align="center"><bold>0.65</bold></td>
<td valign="top" align="center"><bold>0.73</bold></td>
<td valign="top" align="left">Higgins et al., <xref ref-type="bibr" rid="B44">2001</xref>; Ouyang et al., <xref ref-type="bibr" rid="B69">2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">PRO1</td>
<td valign="top" align="left">I feel I have often made progress toward being successful in my life.</td>
<td valign="top" align="center">0.81</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PRO2</td>
<td valign="top" align="left">I often try to reach the things in life in which I believe.</td>
<td valign="top" align="center">0.81</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PRO3</td>
<td valign="top" align="left">How often have you accomplished things that got you &#x0201C;psyched&#x0201D; to work even harder?</td>
<td valign="top" align="center">0.80</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>PRE</bold></td>
<td valign="top" align="left"><bold>Prevention focus</bold></td>
<td/>
<td valign="top" align="center"><bold>0.95</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="center"><bold>0.92</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">PRE1</td>
<td valign="top" align="left">Growing up, did you ever &#x0201C;cross the line&#x0201D; by doing things your parents would not tolerate?</td>
<td valign="top" align="center">0.94</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PRE2</td>
<td valign="top" align="left">Did you get on your parents&#x00027; nerves often when you were growing up?</td>
<td valign="top" align="center">0.93</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PRE3</td>
<td valign="top" align="left">Growing up, did you ever act in ways that your parents thought were objectionable?</td>
<td valign="top" align="center">0.93</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>AT</bold></td>
<td valign="top" align="left"><bold>Attitudes toward mobile text advertising</bold></td>
<td/>
<td valign="top" align="center"><bold>0.91</bold></td>
<td valign="top" align="center"><bold>0.78</bold></td>
<td valign="top" align="center"><bold>0.86</bold></td>
<td valign="top" align="left">Alwitt and Prabhaker, <xref ref-type="bibr" rid="B8">1994</xref></td>
</tr>
<tr>
<td valign="top" align="left">AT1</td>
<td valign="top" align="left">Mobile text advertising helps raise our standard of living.</td>
<td valign="top" align="center">0.91</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AT2</td>
<td valign="top" align="left">Mobile text advertising helps me find products that match my personality and interests.</td>
<td valign="top" align="center">0.88</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AT3</td>
<td valign="top" align="left">Mobile text advertising helps me buy the best brand for a given price.</td>
<td valign="top" align="center">0.87</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>SN</bold></td>
<td valign="top" align="left"><bold>Subjective norms</bold></td>
<td/>
<td valign="top" align="center"><bold>0.93</bold></td>
<td valign="top" align="center"><bold>0.82</bold></td>
<td valign="top" align="center"><bold>0.9</bold></td>
<td valign="top" align="left">Taylor and Todd, <xref ref-type="bibr" rid="B84">1995</xref></td>
</tr>
<tr>
<td valign="top" align="left">SN1</td>
<td valign="top" align="left">People who are important to me would think that I should use mobile online trading.</td>
<td valign="top" align="center">0.92</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SN2</td>
<td valign="top" align="left">People who influence me would think that I should use mobile online trading.</td>
<td valign="top" align="center">0.92</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SN3</td>
<td valign="top" align="left">People whose opinions are valuable to me would prefer that I use mobile online trading.</td>
<td valign="top" align="center">0.89</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>PBC</bold></td>
<td valign="top" align="left"><bold>Perceived behavioral control</bold></td>
<td/>
<td valign="top" align="center"><bold>0.92</bold></td>
<td valign="top" align="center"><bold>0.79</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="left">Taylor and Todd, <xref ref-type="bibr" rid="B84">1995</xref></td>
</tr>
<tr>
<td valign="top" align="left">PBC1</td>
<td valign="top" align="left">I will be able to use mobile online trading well when trading.</td>
<td valign="top" align="center">0.89</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PBC2</td>
<td valign="top" align="left">Using mobile online trading is entirely within my control.</td>
<td valign="top" align="center">0.88</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PBC3</td>
<td valign="top" align="left">I have the resources, knowledge, and ability to use mobile online trading.</td>
<td valign="top" align="center">0.90</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>ITP</bold></td>
<td valign="top" align="left"><bold>Intention to purchase</bold></td>
<td/>
<td valign="top" align="center"><bold>0.92</bold></td>
<td valign="top" align="center"><bold>0.79</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="left">Hwang et al., <xref ref-type="bibr" rid="B47">2011</xref>; Bart et al., <xref ref-type="bibr" rid="B14">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">ITP1</td>
<td valign="top" align="left">I will be likely to purchase the advertised product.</td>
<td valign="top" align="center">0.90</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">ITP2</td>
<td valign="top" align="left">I will purchase if it is necessary.</td>
<td valign="top" align="center">0.89</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">ITP3</td>
<td valign="top" align="left">I will browse the online store to get what I want to buy.</td>
<td valign="top" align="center">0.88</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N &#x0003D; 320; C.R. &#x0003D; composite reliability; AVE &#x0003D; average variance extracted; &#x003B1; &#x0003D; Cranach&#x00027;s alpha</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Related research previously showed that demographic variables (gender, age, education level, and job) are among the important factors influencing attitudes (Wolin and Korgaonkar, <xref ref-type="bibr" rid="B92">2003</xref>; Habuchi et al., <xref ref-type="bibr" rid="B40">2005</xref>). Thus, these factors were used as control variables.</p>
<p>All the items were measured using a five-point Likert scale. The measurement for regulatory focus was from never (1) to always (5), whereas the others were from strongly disagree (1) to strongly agree (5).</p>
</sec>
</sec>
<sec id="s4">
<title>Data analysis and results</title>
<sec>
<title>Data analysis</title>
<sec>
<title>Reliability and validity</title>
<p>All of the factor loadings were highly significant (<italic>p</italic> &#x0003C; 0.01) to their respective latent constructs; the composite reliabilities of all of the constructs were &#x0003E; 0.80; and all of the average variance extracted estimates were &#x0003E; 0.60 (Table <xref ref-type="table" rid="T1">1</xref>; Fornell and Larcker, <xref ref-type="bibr" rid="B36">1981</xref>). Therefore, the measurements had adequate convergent validity and composite reliability (Bagozzi and Yi, <xref ref-type="bibr" rid="B13">1988</xref>).</p>
</sec>
<sec>
<title>Confirmatory factor analysis (CFA)</title>
<p>CFAs were implemented to examine the discriminant validity of the key variables. First, an eight-factor CFA model (see Table <xref ref-type="table" rid="T2">2</xref>) was tested. This model included infotainment, irritation, promotion focus, prevention focus, attitudes, subjective norms, perceived behavioral control, and intention to purchase. The measurement model fitted the data (&#x003C7;<sup>2</sup> &#x0003D; 382.33, df &#x0003D; 247, TLI &#x0003D; 0.97, CFI &#x0003D; 0.94, RMSEA &#x0003D; 0.04), confirming the unidimensionality of the measures (Anderson and Gerbing, <xref ref-type="bibr" rid="B9">1988</xref>). Subsequently, the eight-factor model was compared with alternative models that sequentially combined infotainment with each of the 7 other factors (Figure <xref ref-type="fig" rid="F2">2</xref>). A model comparison revealed that the eight-factor model fit the data considerably better than the alternative model. The means, standard deviations (SDs), and correlations are shown in Table <xref ref-type="table" rid="T3">3</xref>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Results of the CFA for the measures of the studied variables.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Model</bold></th>
<th valign="top" align="center"><bold>&#x003C7;<sup>2</sup></bold></th>
<th valign="top" align="center"><bold>Df</bold></th>
<th valign="top" align="center"><bold>&#x00394; &#x003C7;<sup>2</sup></bold></th>
<th valign="top" align="center"><bold>TLI</bold></th>
<th valign="top" align="center"><bold>CFI</bold></th>
<th valign="top" align="center"><bold>RMSEA</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Eight-factor model</bold></td>
<td valign="top" align="center">382.33</td>
<td valign="top" align="center">247</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Seven-factor model-1</bold>:</td>
<td valign="top" align="center">1174.35</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">792.02<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Infotainment and Irritation combined</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Seven-factor model-2</bold>:</td>
<td valign="top" align="center">577.34</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">195.01<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Infotainment and Promotion Focus combined</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Seven-factor model-3</bold>:</td>
<td valign="top" align="center">1128.93</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">746.6<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Infotainment and Prevention Focus combined</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Seven-factor model-4</bold>:</td>
<td valign="top" align="center">944.31</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">561.98<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Infotainment and Subjective Norms combined</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Seven-factor model-5</bold>:</td>
<td valign="top" align="center">856.73</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">474.4<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Infotainment and Perceived Behavioral Control combined</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Seven-factor model-6</bold>:</td>
<td valign="top" align="center">826.95</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">444.62<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Infotainment and Attitudes toward Mobile Text Advertising combined</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Seven-factor model-7</bold>:</td>
<td valign="top" align="center">876.27</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">493.94<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Infotainment and Intention to Purchase combined</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>One factor model</bold>:</td>
<td valign="top" align="center">3251.18</td>
<td valign="top" align="center">275</td>
<td valign="top" align="center">2868.85<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.19</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N &#x0003D; 320;</italic></p>
<fn id="TN1">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01 (2-tailed)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Interaction between infotainment and a promotion focus in predicting attitudes.</p></caption>
<graphic xlink:href="fpsyg-08-01022-g0002.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>The means, SDs, and correlations of the main variables.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold><italic>SD</italic></bold></th>
<th valign="top" align="center"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
<th valign="top" align="center"><bold>(3)</bold></th>
<th valign="top" align="center"><bold>(4)</bold></th>
<th valign="top" align="center"><bold>(5)</bold></th>
<th valign="top" align="center"><bold>(6)</bold></th>
<th valign="top" align="center"><bold>(7)</bold></th>
<th valign="top" align="center"><bold>(8)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">(1) Infotainment</td>
<td valign="top" align="center">3.48</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">(0.86)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(2) Irritation</td>
<td valign="top" align="center">2.94</td>
<td valign="top" align="center">1.19</td>
<td valign="top" align="center">&#x02212;0.13<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">(0.93)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(3) Promotion Focus</td>
<td valign="top" align="center">3.76</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.26<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">(0.81)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(4) Prevention Focus</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">&#x02212;0.17<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">&#x02212;0.18<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">(0.93)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(5) Attitudes toward Mobile Text Advertising</td>
<td valign="top" align="center">3.33</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.43<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.31<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.33<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.35<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">(0.88)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(6) Subjective Norms</td>
<td valign="top" align="center">3.12</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.28<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.19<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.17<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.47<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">(0.91)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(7) Perceived Behavioral Control</td>
<td valign="top" align="center">3.45</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.20<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.15<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.13<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.35<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.18<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">(0.89)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">(8) Intention to Purchase</td>
<td valign="top" align="center">3.06</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.19<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.24<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.18<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.39<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.34<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.32<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">(0.89)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N &#x0003D; 320;</italic></p>
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01;</italic></p></fn>
<fn id="TN3">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05 (2-tailed), SD, Standard Deviation</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Common method issues</title>
<p>Given that infotainment, irritation, promotion focus, prevention focus, subjective norms, perceived behavioral control, attitudes, and intention to purchase were obtained from the same sources, a potential common method variance was a concern. Several techniques were used to minimize any common source bias. First, the confidentiality of the responses was guaranteed to the participants to limit any concerns, such as the participants&#x00027; evaluation apprehension or social desirability. Second, a psychological separation was constructed in the survey by using different instructions and positioning the variables in various parts of the survey with a number of filler items between them to try to minimize the respondents&#x00027; perception of any direct connection between the variables (Podsakoff et al., <xref ref-type="bibr" rid="B73">2003</xref>). Finally, the variance explained by the Harmon one-factor test was 19.63%, which was below the cut-off value of 25%. Hence, common method variance was an unlikely constraint of the results in this study (Peng et al., <xref ref-type="bibr" rid="B72">2016</xref>).</p>
</sec>
</sec>
<sec>
<title>Test of hypotheses</title>
<sec>
<title>Hypothesized model</title>
<p>We used the structural equation modeling technique (Anderson and Gerbing, <xref ref-type="bibr" rid="B9">1988</xref>) to examine the hypotheses of this study. This technique allows a simultaneous examination of an entire system of variables in a hypothesized model (Byrne, <xref ref-type="bibr" rid="B21">2009</xref>). As presented in Table <xref ref-type="table" rid="T4">4</xref>, <inline-formula><mml:math id="M1"><mml:msubsup><mml:mrow><mml:mi>&#x003C7;</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>356</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> &#x0003D; 512.33, <italic>p</italic> &#x0003C; 0.001, CFI &#x0003D; 0.97, TLI &#x0003D; 0.96, and RMSEA &#x0003D; 0.04, the empirical results indicated that the hypothesized model fit the data well.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Comparisons of the structural equation models.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Model and structure</bold></th>
<th valign="top" align="left"><bold>&#x003C7;<sup>2</sup></bold></th>
<th valign="top" align="center"><bold><italic>df</italic></bold></th>
<th valign="top" align="center"><bold>TLI</bold></th>
<th valign="top" align="center"><bold>CFI</bold></th>
<th valign="top" align="center"><bold>RMSEA</bold></th>
<th valign="top" align="center"><bold>&#x00394;&#x003C7;<sup>2</sup> (&#x00394;<italic>df</italic>)<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic><bold>Hypothesized model</bold></italic></td>
<td valign="top" align="left">512.33</td>
<td valign="top" align="center">356</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left"><italic><bold>Nested model 1</bold></italic><break/> (Adding a path from Infotainment to Intention to Purchase)</td>
<td valign="top" align="left">512.32</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.01 (1)</td>
</tr>
<tr>
<td valign="top" align="left"><italic><bold>Nested model 2</bold></italic><break/> (Adding a path from Infotainment<sup>&#x0002A;</sup>Promotion Focus to Intention to Purchase)</td>
<td valign="top" align="left">510.84</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">1.49 (1)</td>
</tr>
<tr>
<td valign="top" align="left"><italic><bold>Nested model 3</bold></italic><break/> (Adding a path from Promotion Focus to Intention to Purchase)</td>
<td valign="top" align="left">511.17</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">1.15 (1)</td>
</tr>
<tr>
<td valign="top" align="left"><italic><bold>Nested model 4</bold></italic><break/> (Adding a path from Irritation to Intention to Purchase)</td>
<td valign="top" align="left">510.05</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">2.28 (1)</td>
</tr>
<tr>
<td valign="top" align="left"><italic><bold>Nested model 5</bold></italic><break/> (Adding a path from Irritation<sup>&#x0002A;</sup>Prevention Focus to Intention to Purchase)</td>
<td valign="top" align="left">511.00</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">1.33 (1)</td>
</tr>
<tr>
<td valign="top" align="left"><italic><bold>Nested model 6</bold></italic><break/> (Adding a path from Prevention Focus to Intention to Purchase)</td>
<td valign="top" align="left">512.26</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.07 (1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N &#x0003D; 320; <sup>&#x0002A;&#x0002A;</sup>p &#x0003C; 0.01; <sup>&#x0002A;</sup>p &#x0003C; 0.05 (2-tailed)</italic>;</p>
<fn id="TN4">
<label>a</label>
<p><italic>Compared to the hypothesized model</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Model comparisons</title>
<p>The change in chi-square test (Bentler and Bonett, <xref ref-type="bibr" rid="B16">1980</xref>) was utilized to compare the hypothesized model with nested models, which were less likely but nevertheless plausible based on theoretical arguments (Wang and Chen, <xref ref-type="bibr" rid="B87">2005</xref>). Nested Models 1&#x02013;6 were included.</p>
<p>Nested Model 1 assessed the same path as in the hypothesized model, along with the direct path from infotainment to intention to purchase. Nested Model 2 also tested the direct path from infotainment<sup>&#x0002A;</sup>promotion focus to intention to purchase in addition to the hypothesized paths. Nested Model 3 tested the direct path from promotion focus to intention to purchase in addition to the hypothesized paths. Nested Model 4 examined the direct path from irritation to intention to purchase based on the hypothesized model. Nested Model 5 examined the direct path from irritation<sup>&#x0002A;</sup>prevention focus to intention to purchase in addition to the paths of the hypothesized model. Nested Model 6 also checked the direct path from prevention focus to intention to purchase along with the paths of the hypothesized model.</p>
<p>The change in chi-square tests indicated that Nested Model 1 (&#x00394;&#x003C7;<sup>2</sup> &#x0003D; 0.01; &#x00394;df &#x0003D; 1; <italic>p</italic> &#x0003E; 0.05), Nested Model 2 (&#x00394;&#x003C7;<sup>2</sup> &#x0003D; 1.49; &#x00394;df &#x0003D; 1; <italic>p</italic> &#x0003E; 0.05), Nested Model 3 (&#x00394;&#x003C7;<sup>2</sup> &#x0003D; 1.15; &#x00394;df &#x0003D; 1; <italic>p</italic> &#x0003E; 0.05), Nested Model 4 (&#x00394;&#x003C7;<sup>2</sup> &#x0003D; 2.28; &#x00394;df &#x0003D; 1; <italic>p</italic> &#x0003E; 0.05), Nested Model 5 (&#x00394;&#x003C7;<sup>2</sup> &#x0003D; 1.33; &#x00394;df &#x0003D; 1; <italic>p</italic> &#x0003E; 0.05), and Nested Model 6 (&#x00394;&#x003C7;<sup>2</sup> &#x0003D; 0.07; &#x00394;df &#x0003D; 1; <italic>p</italic> &#x0003E; 0.05) were not significantly better than the hypothesized model and were less parsimonious (see Table <xref ref-type="table" rid="T4">4</xref>). Hence, the hypothesized model was the most parsimonious.</p>
<p>Table <xref ref-type="table" rid="T5">5</xref> shows the results of the hypothesized model. The path coefficients were all significant. Infotainment (&#x003B2; &#x0003D; 0.21, <italic>p</italic> &#x0003C; 0.01) was positively related to attitudes, whereas irritation (&#x003B2; &#x0003D; &#x02212;0.18, <italic>p</italic> &#x0003C; 0.01) was negatively related to attitudes. Thus, Hypotheses 1 and 2 were both supported. In addition, intention to purchase was related to attitudes (&#x003B2; &#x0003D; 0.27, <italic>p</italic> &#x0003C; 0.01), perceived behavioral control (&#x003B2; &#x0003D; 0.24, <italic>p</italic> &#x0003C; 0.01), and subjective norms (&#x003B2; &#x0003D; 0.27, <italic>p</italic> &#x0003C; 0.01). Hence, Hypotheses 3, 4, and 5 were supported. In addition, subjective norms were positively connected with attitudes (&#x003B2; &#x0003D; 0.19, <italic>p</italic> &#x0003C; 0.01). Thus, Hypothesis 6 was supported.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Path coefficients.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Path</bold></th>
<th valign="top" align="center"><bold>Weight</bold></th>
<th valign="top" align="center"><bold>S.E</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Infotainment&#x02192;AT</td>
<td valign="top" align="center">0.21<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Irritation&#x02192;AT</td>
<td valign="top" align="center">&#x02212;0.18<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Promotion Focus&#x02192;AT</td>
<td valign="top" align="center">0.26<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Prevention Focus&#x02192;AT</td>
<td valign="top" align="center">&#x02212;0.20<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">INTER1&#x02192;AT</td>
<td valign="top" align="center">0.23<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">INTER2&#x02192;AT</td>
<td valign="top" align="center">&#x02212;0.23<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">AT&#x02192;ITP</td>
<td valign="top" align="center">0.27<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">PCB&#x02192;ITP</td>
<td valign="top" align="center">0.24<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">SN&#x02192;ITP</td>
<td valign="top" align="center">0.27<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">SN&#x02192;AT</td>
<td valign="top" align="center">0.19<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.07</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N &#x0003D; 320</italic>,</p>
<fn id="TN5">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01 (2-tailed)</italic>,</p></fn>
<p><italic>AT &#x0003D; attitudes toward mobile text advertising, INTER1 &#x0003D; infotainment <sup>&#x0002A;</sup> promotion focus, INTER2 &#x0003D; irritation <sup>&#x0002A;</sup> prevention focus, SN &#x0003D; subjective norms, PBC &#x0003D; perceived behavioral control, ITP &#x0003D; intention to purchase</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Moderation effect</title>
<p>As shown in Table <xref ref-type="table" rid="T5">5</xref>, promotion focus (&#x003B2; &#x0003D; 0.26, <italic>p</italic> &#x0003C; 0.01) was positively related to attitudes, and the interaction between infotainment and promotion focus (&#x003B2; &#x0003D; 0.23, <italic>p</italic> &#x0003C; 0.01) was also positively related to attitudes. Thus, H7a was supported. Prevention focus (&#x003B2; &#x0003D; &#x02212;0.20, <italic>p</italic> &#x0003C; 0.01) was negatively related to attitudes, as was the interaction between irritation and prevention focus (&#x003B2; &#x0003D; &#x02212;0.23, <italic>p</italic> &#x0003C; 0.01). Hence, H7b was supported.</p>
<p>Furthermore, the interaction effects were plotted using procedures from Aiken et al. (<xref ref-type="bibr" rid="B1">1994</xref>) and Dawson (<xref ref-type="bibr" rid="B27">2014</xref>). As shown in Figure <xref ref-type="fig" rid="F2">2</xref>, infotainment was positively related to attitude when promotion focus was high (&#x003B2; &#x0003D; 0.49, <italic>p</italic> &#x0003C; 0.01), and this positive influence was lessened when promotion focus was low (&#x003B2; &#x0003D; 0.14, <italic>p</italic> &#x0003C; 0.05), further supporting Hypothesis 7a. Moreover, Figure <xref ref-type="fig" rid="F3">3</xref> indicates that irritation was negatively related to attitude (&#x003B2; &#x0003D; &#x02212;0.44, <italic>p</italic> &#x0003C; 0.01) when prevention focus was high but was unrelated to attitude (&#x003B2; &#x0003D; &#x02212;0.05, n.s.) when prevention focus was low (n.s. &#x0003D; non-significant). Hence, Hypothesis 7b was further supported.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Interaction between irritation and a prevention focus in predicting attitudes.</p></caption>
<graphic xlink:href="fpsyg-08-01022-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Moderated mediation effects</title>
<p>A moderated path approach was utilized to test the moderated mediation hypotheses (Edwards and Lambert, <xref ref-type="bibr" rid="B31">2007</xref>), and 1,000 samples were bootstrapped to compute the bias-corrected confidence intervals. An indirect effect can be viewed as statistically significant if the 95% confidence interval excludes zero (Edwards and Lambert, <xref ref-type="bibr" rid="B31">2007</xref>). As shown in Table <xref ref-type="table" rid="T6">6</xref>, an indirect effect of infotainment on intention to purchase via attitude was positive and significant when promotion focus was high (<italic>path coefficient</italic> (<italic>P)</italic> &#x0003D; 0.20, 99.5% CI [0.07, 0.39]) and was also significant when promotion focus was low (<italic>P</italic> &#x0003D; 0.05, 95% CI [0.01, 0.12]; difference &#x0003D; 0.15, 99.5% CI [0.02, 0.33]). Similarly, Table <xref ref-type="table" rid="T7">7</xref> shows that the indirect effect of irritation on intention to purchase via attitude was negative and significant when prevention focus was high (<italic>P</italic> &#x0003D; &#x02212;0.11, 99.5% CI [&#x02212;0.22, &#x02212;0.01]) but was non-significant when prevention focus was low (<italic>P</italic> &#x0003D; &#x02212;0.01, 95% CI [&#x02212;0.06, 0.02]; difference &#x0003D; &#x02212;0.10, 95% CI [&#x02212;0.17, &#x02212;0.03]). These results provide support for Hypotheses 8a and 8b.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>The results of moderated path analysis for Infotainment.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Moderator variable</bold></th>
<th valign="top" align="center" colspan="5" style="border-bottom: thin solid #000000;"><bold>Infotainment (X)&#x02192;Attitudes (M)&#x02192;Intention to Purchase (Y)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" colspan="2"><bold>Stage</bold></th>
<th valign="top" align="center" colspan="3"><bold>Effect</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>First</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Second</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Direct effects</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Indirect Effects</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Total effects</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>P<sub><italic>MX</italic></sub></italic></bold></th>
<th valign="top" align="center"><bold><italic>P<sub><italic>YM</italic></sub></italic></bold></th>
<th valign="top" align="center"><bold><italic>(P<sub><italic>YX</italic>)</sub></italic></bold></th>
<th valign="top" align="center"><bold><italic>(P<sub><italic>YM</italic></sub> P<sub><italic>MX</italic></sub>)</italic></bold></th>
<th valign="top" align="center"><bold><italic>(P<sub><italic>YX</italic></sub> &#x0002B; P<sub><italic>YM</italic></sub>P<sub><italic>MX</italic></sub>)</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Simple paths for low promotion focus</td>
<td valign="top" align="center">0.17<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.29<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.05<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Simple paths for high promotion focus</td>
<td valign="top" align="center">0.57<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.35<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.20<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.20<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.40<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Differences</td>
<td valign="top" align="center">0.40<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.24<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.15<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.39<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N &#x0003D; 320</italic>;</p>
<fn id="TN6">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01</italic>;</p></fn>
<fn id="TN7">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05 (2-tailed)</italic>.</p></fn>
<p><italic>P<sub>MX:</sub> path from infotainment to attitudes; P<sub>YM</sub>: path from attitudes to intention to purchase; P<sub>YX</sub>: path from infotainment to intention to purchase. Low promotion focus refers to one standard deviation below the mean of promotion focus; high promotion focus refers to one standard deviation above the mean of promotion focus. Tests of differences between the indirect and total effects were based on bias-corrected confidence intervals derived from bootstrap estimates</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>The results of moderated path analysis for Irritation.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Moderator variable</bold></th>
<th valign="top" align="center" colspan="5" style="border-bottom: thin solid #000000;"><bold>Irritation (X)&#x02192;Attitudes (M)&#x02192;Intention to Purchase (Y)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Stage</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Effect</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>First</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Second</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Direct effects</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Indirect Effects</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Total effects</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>P<sub><italic>MX</italic></sub></italic></bold></th>
<th valign="top" align="center"><bold><italic>P<sub><italic>YM</italic></sub></italic></bold></th>
<th valign="top" align="center"><bold><italic>(P<sub><italic>YX</italic>)</sub></italic></bold></th>
<th valign="top" align="center"><bold><italic>(P<sub><italic>YM</italic></sub> P<sub><italic>MX</italic></sub>)</italic></bold></th>
<th valign="top" align="center"><bold><italic>(P<sub><italic>YX</italic></sub> &#x0002B; P<sub><italic>YM</italic></sub> P<sub><italic>MX</italic></sub>)</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Simple paths for low prevention focus</td>
<td valign="top" align="center">&#x02212;0.03</td>
<td valign="top" align="center">0.33<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.01</td>
</tr>
<tr>
<td valign="top" align="left">Simple paths for high prevention focus</td>
<td valign="top" align="center">&#x02212;0.37<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.31<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.16<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.11<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.28<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Differences</td>
<td valign="top" align="center">&#x02212;0.33<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.020</td>
<td valign="top" align="center">&#x02212;0.170</td>
<td valign="top" align="center">&#x02212;0.10<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.27<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N &#x0003D; 320</italic>;</p>
<fn id="TN8">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01</italic>;</p></fn>
<fn id="TN9">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05 (2-tailed)</italic>.</p></fn>
<p><italic>P<sub>MX:</sub>path from irritation to attitudes; P<sub>YM</sub>: path from attitudes to intention to purchase; P<sub>YX</sub>: Path from irritation to intention to purchase. Low prevention focus refers to one standard deviation below the mean of prevention focus; high prevention focus refers to one standard deviation above the mean of prevention focus. Tests of differences for the indirect and total effect were based on bias-corrected confidence intervals derived from bootstrap estimates</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="s5">
<title>General discussion and implications</title>
<p>The goal of this study was to analyze empirically the influence of mobile text advertising on consumers&#x00027; purchase intention. With the rapid development of smart mobile and internet technologies, mobile shopping apps have become convenient and efficient. Mobile marketing is now essential to many companies&#x00027; total marketing strategies. The question arises whether mobile text advertising, sent by mobile shopping apps, facilitates recipients&#x00027; purchase intention and how this process works. The findings of this study address these questions and provide insights from both theoretical and practical perspectives.</p>
<sec>
<title>Conclusions</title>
<p>First, infotainment and irritation influenced attitudes toward mobile text advertising in opposing directions in accordance with prior research (H1, H2). The present study shows that two main dimensions of U&#x00026;G, infotainment and irritation, impacted attitudes in opposing directions. The impact of infotainment was greater than that of irritation. This finding confirms previous views about mobile advertising (Tsang et al., <xref ref-type="bibr" rid="B85">2004</xref>). Mobile advertisements tend to have more infotainment and less irritation to increase consumer contentment (McCoy et al., <xref ref-type="bibr" rid="B63">2008</xref>).</p>
<p>Second, the study reveals the moderation effects of regulatory focus between information content characteristics and attitudes toward mobile text advertising (H7a, H7b). In accordance with RFT, this study showed that at a high level of promotion focus, the positive relationship between infotainment and attitudes was strengthened; conversely, at a high level of prevention focus, the negative relationship between irritation and attitudes was strengthened. These results can deepen the understanding of attitudes and benefit subsequent research.</p>
<p>Finally, the mechanism behind the intention to purchase mobile-advertised products was explored. After receiving mobile text advertisements from mobile shopping apps, the consumers&#x00027; attitudes toward mobile text advertising, together with their subjective norms and perceived behavioral controls, influenced the intention to purchase (H3, H4, and H5). Moreover, this study suggested that subjective norms indirectly impacted the intention to purchase through their attitudes toward mobile text advertising (H6). According to reference group theory, the views of others considerably affect an individual&#x00027;s beliefs and their purchase decisions. Our study indicated that this was true in a mobile advertising context. Additionally, two moderated mediation effects were identified (H8a, H8b). One mediation effect of attitudes toward mobile text advertising between infotainment and intention to purchase was moderated by the promotion focus; whereas, the other mediation effect of attitudes toward mobile text advertising between irritation and intention to purchase was moderated by the prevention focus.</p>
<p>In addition, due to the similarities between the Taobao app and other mobile shopping apps, the above conclusions are also applicable to similar apps. The Taobao app has the largest number of Chinese shoppers (QuestMobile, <xref ref-type="bibr" rid="B74">2017</xref>) and also has a range of products and services which covers most online items. Estimates are that 82% of Chinese internet advertising will be invested in mobile trading platforms by the year 2021 (eMarketer, <xref ref-type="bibr" rid="B34">2017</xref>). Therefore, delivering text advertising via apps can be expected to become a prosperous method. Our findings about mobile text advertising via the Taobao app can be expected to be basically stable.</p>
</sec>
<sec>
<title>Theoretical implications</title>
<p>First, our findings shed light on the use of (promotion focus and prevention focus) regulatory focus in mobile advertising activities. Previous studies on mobile advertising were mostly based on either the single theory of reasoned action (Tsang et al., <xref ref-type="bibr" rid="B85">2004</xref>) or the theory of acceptance model (Muk and Chung, <xref ref-type="bibr" rid="B66">2015</xref>). In the present study, the regulatory focus was found to not only significantly influence the relationship between information characteristics and attitudes but also to moderate the mediation effects of attitudes on information characteristics and the intention to purchase. The empirical test showed that a high promotion focus strengthened the impact of infotainment on attitudes as well as that attitudes mediated the relationship between infotainment and the intention to purchase. Moreover, a high prevention focus increased the impact of irritation on attitudes in addition to reinforcing the mediated effect of attitudes between irritation and the intention to purchase. The results can not only contribute to the further understanding of consumer behavior characteristics with regard to the mobile field but can also shed light on related research based on the RFT in the context of mobile commerce. Furthermore, this study extends the application of RFT to the mobile context and other mobile service activities.</p>
<p>Second, this study helps to elucidate the mechanism of the purchase intention in the mobile context, indicating that it is an extension of the TPB. Most extant studies have discussed the intention to purchase only from the perspective of the TPB. This study, which investigated the intention to purchase from the perspective of regulatory focus, identified a moderating role for regulatory focus, mediating effects of attitudes, and moderated mediation effects. The results of this study improve the understanding of the mechanism underlying the intention to purchase in a mobile context. The results also highlighted the importance of consumer motivation in the mobile field. Moreover, this study laid a foundation for conducting related behavioral intention research in different contexts.</p>
<p>Third, the results of our research appear to be representative and universal. Extant studies on mobile advertising have primarily focused on no-income groups, such as university students. In this study, 95% of the respondents had had mobile shopping experience for at least 1 year and 76% were employees from various companies and thus had a certain economic foundation. Hence, we believe that our data is representative and our findings will be valuable. Furthermore, the empirical results showed that the participants had either a positive attitude (Table <xref ref-type="table" rid="T4">4</xref>, the attitudes mean &#x0003D; 3.32) or a near neutral irritation (Table <xref ref-type="table" rid="T4">4</xref>, irritation mean &#x0003D; 2.94), a finding which is consistent with the notion that the negative impact of irritation has become weaker than in the past (Xu et al., <xref ref-type="bibr" rid="B93">2009</xref>).</p>
</sec>
<sec>
<title>Practical implications</title>
<p>In addition to the above theoretical implications, this study has the following practical implications.</p>
<p>First, the findings highlighted the importance of subjective norms. Although attitudes are usually emphasized in consumer behavior intention research, managers must carefully attempt to govern the influence of reference groups on attitudes and the intention to purchase in the mobile context.</p>
<p>Second, the findings can enlighten designers about the design of mobile advertising. Managers often try to avoid irritating consumers. Our results suggest that they should also concentrate on increasing the infotainment to please consumers. Avoidance alone is not enough. A high level of infotainment is beneficial to the formation of a positive attitude and to the purchase intention. Advertising designers may need to increase the informativeness and entertainment of mobile advertising content.</p>
<p>Third, the findings can contribute to perfecting the marketing strategy of various companies. In general, marketing managers employ strategies aimed at managing the information content characteristics of mobile advertising (Tsang et al., <xref ref-type="bibr" rid="B85">2004</xref>; Xu et al., <xref ref-type="bibr" rid="B93">2009</xref>; Liu et al., <xref ref-type="bibr" rid="B60">2012</xref>). This study suggested that they should pay attention not only to the information content of mobile advertising but also to the regulatory focus (promotion focus and prevention focus). For example, delivering enjoyable mobile text advertising to promotion focus customers may contribute to creating better attitudes and a stronger intention to purchase; but how to identify promotion focus customers and prevention focus ones is the question. The literature indicates that a promotion focus can be triggered temporarily in some situations (Lockwood et al., <xref ref-type="bibr" rid="B61">2002</xref>). Managers could motivate consumers to purchase by activating each individual&#x00027;s promotion focus by some mobile promotion activities. Furthermore, the method we used in this article can serve as a reference for managers. By sending the online testing items of about a regulation focus to their customers, they may be able to distinguish between them. Analyzing the existing customer database is another possible method (Das, <xref ref-type="bibr" rid="B26">2016</xref>). In addition, promotion focus individuals are inclined to change the current situation, whereas prevention focus ones are inclined to maintain the status quo (Chernev, <xref ref-type="bibr" rid="B22">2006</xref>; Herzenstein et al., <xref ref-type="bibr" rid="B42">2007</xref>). Hence, managers could deliver the customized information about their goods in accordance with the recipient&#x00027;s regulatory focus. For instance, for the promotion focus customers, receiving new or high technology products text advertising from shopping apps would help to draw attention and improve the products&#x00027; brand awareness, whereas sending information about how the product will help the recipients maintain their status quo will tend to attract prevention focus individuals.</p>
</sec>
</sec>
<sec id="s6">
<title>Limitations and future research</title>
<p>Although, all of the hypotheses in this study were supported, the study still presents limitations that can provide opportunities for future research. First, only push mobile advertising was examined. Future research should explore the effectiveness of pull mobile advertising and compare the two forms. Second, the study only concentrated on the text form of mobile advertising. In the future, other types of mobile advertising, such as multimedia mobile advertising, should be investigated as well. Third, this study explored the moderation effect only in a mobile environment. The RFT&#x00027;s influence in the content-attitudes relationship, as well as its moderation effect in the attitudes-intentions relationship, is worth studying as a general TPB modifier as well as in a mobile advertising context in further scenarios. In addition, our analysis may lag behind the rapid development of mobile advertising and communication technology to some extent. Because of these rapid advances, the formation mechanism of the intention to purchase will need to be continually updated. Fourth, we primarily included subjects who were fairly well-educated and investigated their responses to a single shopping app. According to statistics from the China Internet Network Information Center (CNNIC, <xref ref-type="bibr" rid="B23">2017</xref>), college students are the major users of Chinese cybercitizens. However, a further study utilizing a different range of the population and more shopping apps should also be performed to strengthen its robustness. Finally, the study discussed chronic promotion and prevention focuses, but these may have been triggered in some situations. Future research should examine the manner in which they can be triggered and the things that influence them.</p>
</sec>
<sec id="s7">
<title>Ethics statement</title>
<p>This research was approved by Economics and Management Department Research Ethic Committee. All participants gave informed consent to participate. All participants were fully insured for the duration of the questionnaire.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>LH contributes the writing of the whole article. CZ contributes the data collection.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
<back>
<ack>
<p>The authors are grateful to Rhoda E. and Edmund F. Perozzi, Ph.D.s, for extensive editing and discussions. This work was funded by the Society and Science Union Project of Fujian Province, P.R. China, FJ2016B082 &#x0201C;Influence of mobile advertising on the users&#x00027; behavior intention,&#x0201D; FJ2015B231 &#x0201C;Research on the financial support for the development of the private economy in Fujian Province under the new normal economy&#x0201D;; and the Project of Education Department of Fujian Province, P.R. China, JAS150418 &#x0201C;Users adoption of Short Message Service advertising in the mobile commercial context.&#x0201D;</p>
</ack>
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<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>Apps</term>
<def><p>applications</p></def></def-item>
<def-item><term>SMS</term>
<def><p>short message service</p></def></def-item>
<def-item><term>U&#x00026;G</term>
<def><p>uses and gratifications</p></def></def-item>
<def-item><term>TPB</term>
<def><p>theory of planned behavior</p></def></def-item>
<def-item><term>RFT</term>
<def><p>regulatory focus theory.</p></def></def-item>
</def-list>
</glossary>
</back>
</article>