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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Educ.</journal-id>
<journal-title>Frontiers in Education</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Educ.</abbrev-journal-title>
<issn pub-type="epub">2504-284X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/feduc.2024.1385278</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Education</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>WhatsApp groups: The nexus between retention, reciprocity, and user satisfaction</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ali</surname> <given-names>Ismail Mohamed</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2655078/overview"/>
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<contrib contrib-type="author">
<name><surname>Mohamed</surname> <given-names>Mohamud Ahmed</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<contrib contrib-type="author">
<name><surname>Ahmed</surname> <given-names>Yahye Abukar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/Methodology/"/>
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<aff id="aff1"><sup>1</sup><institution>Faculty of Computing, SIMAD University</institution>, <addr-line>Mogadishu</addr-line>, <country>Somalia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Faculty of Management Science, SIMAD University</institution>, <addr-line>Mogadishu</addr-line>, <country>Somalia</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Paitoon Pimdee, King Mongkut's Institute of Technology Ladkrabang, Thailand</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Freddy Mar&#x00ED;n-Gonz&#x00E1;lez, Costa University Corporation, Colombia</p>
<p>Hamid Keshavarz, Shahid Beheshti University, Iran</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Ismail Mohamed Ali, <email>ismail15@simad.edu.so</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>9</volume>
<elocation-id>1385278</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Ali, Mohamed and Ahmed.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Ali, Mohamed and Ahmed</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) and the copyright owner(s) 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>High dropout rates in higher education pose a significant challenge, prompting a need for effective retention strategies. Research shows promoting students&#x2019; engagement as key factor in retention. This is most effectively nurtured through regular activities that explicitly connect to academic goals and involve all students. This study proposes to investigate the role of reciprocity which involves the exchange of knowledge and resources on the basis of mutual benefits, and considers WhatsApp groups as an interactive medium for connecting and sharing. Data from an online questionnaire of 309 university students was used to test the research model. Data analysis was performed using the partial least squares method. The findings revealed that that information quality (IQ) and service quality (SERQ) exert a positive influence on satisfaction (SAT), while system quality (SQ) does not. Similarly, reciprocity has a positive influence on both SAT and intention to stay (INTENT). Moreover, our study reaffirmed the established positive relationship between SAT and INTENT. Online platforms like WhatsApp groups, supported by reciprocity and a higher quality of contents and services, can promote satisfaction and knowledge sharing among students, ultimately addressing the challenge of student retention in higher education.</p>
</abstract>
<kwd-group>
<kwd>intention to stay</kwd>
<kwd>information quality</kwd>
<kwd>system quality</kwd>
<kwd>reciprocity</kwd>
<kwd>service quality</kwd>
<kwd>satisfaction</kwd>
<kwd>retention</kwd>
<kwd>a sense of belonging</kwd>
</kwd-group>
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<fig-count count="3"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="121"/>
<page-count count="12"/>
<word-count count="9171"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Higher Education</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Our daily lives are being revolutionized by mobile application. Commencing in 2004, the rise of the internet, particularly with the advent of the Internet with web 2.0, epitomized by platforms like, YouTube, Facebook, Twitter, etc., ushered in a new paradigm of individual and social life. This shift has enabled a myriad of online interactions, including microblogging, collaborative projects, social networking chats, and virtual communities, voice-over-IP talk, and mobile instant messaging (<xref ref-type="bibr" rid="ref63">Kaplan and Haenlein, 2010</xref>; <xref ref-type="bibr" rid="ref101">So, 2016</xref>; <xref ref-type="bibr" rid="ref9">Ali et al., 2017</xref>; <xref ref-type="bibr" rid="ref24">Chugh and Joshi, 2020</xref>). This trend shows no signs of slowing down, with studies predicting 5.7 billion mobile users globally by 2025 (<xref ref-type="bibr" rid="ref72">Li et al., 2023</xref>).</p>
<p>The incorporation of mobile instant messaging in educational settings has been around over a decade (<xref ref-type="bibr" rid="ref9002">Bakker et al., 2007</xref>; <xref ref-type="bibr" rid="ref91">Quan-Haase, 2008</xref>). Beyond familiar lecture halls, mobile devices are used for online interactions such as discussions and knowledge sharing (<xref ref-type="bibr" rid="ref109">Ujakpa et al., 2018</xref>), learner participation (<xref ref-type="bibr" rid="ref92">Rambe and Bere, 2013</xref>), and cooperative learning (<xref ref-type="bibr" rid="ref118">Yuan and Wu, 2020</xref>). Similarly, short message service (SMS), online forums, mobile instant messaging, chat applications are classified as collaborative learning tools (<xref ref-type="bibr" rid="ref86">Peramunugamage et al., 2023</xref>). For a particular interest, mobile instant messaging systems capture the attention of Generation Z. It is fast, free, and less disturbing to the users (<xref ref-type="bibr" rid="ref91">Quan-Haase, 2008</xref>; <xref ref-type="bibr" rid="ref56">Hou, 2015</xref>), classified as quasi-synchronous communication &#x2013; both synchronous and asynchronous (<xref ref-type="bibr" rid="ref101">So, 2016</xref>), and enriched by exchanges of voice, text, and video communication as well as emotional stickers (<xref ref-type="bibr" rid="ref60">Huang and Lin, 2023</xref>). The combination of such text and emoticon communication brings playfulness to our interactions (<xref ref-type="bibr" rid="ref57">Hsieh and Tseng, 2017</xref>). Modern examples of instant messaging software include the WeChat, iMessage, Line, Kik, Viber, Snapchat, Telegram, and WhatsApp (<xref ref-type="bibr" rid="ref40">Figueroa Jacinto and Arndt, 2018</xref>; <xref ref-type="bibr" rid="ref72">Li et al., 2023</xref>).</p>
<p>The quest for instant and convenient communication has fueled the development of numerous tools, but few have achieved the ubiquity and impact of WhatsApp, the world&#x2019;s leading instant messaging tool (<xref ref-type="bibr" rid="ref103">Su&#x00E1;rez-Lantar&#x00F3;n et al., 2022</xref>), and the third largest social media tool after Facebook and YouTube, according to Forbes (<ext-link xlink:href="http://Frobes.com" ext-link-type="uri">Frobes.com</ext-link>). WhatsApp is a mobile application (as well as a desktop application) that runs on almost all modern devices and operating systems (<xref ref-type="bibr" rid="ref15">Bouhnik and Deshen, 2014</xref>; <xref ref-type="bibr" rid="ref40">Figueroa Jacinto and Arndt, 2018</xref>; <xref ref-type="bibr" rid="ref44">Gazit and Aharony, 2018</xref>). Studies underline WhatsApp&#x2019;s expanding influence in various spheres, including facilitating smooth school-to-work transition (<xref ref-type="bibr" rid="ref89">Pimmer et al., 2019</xref>, <xref ref-type="bibr" rid="ref90">2021</xref>), promoting social presence (<xref ref-type="bibr" rid="ref93">Robinson et al., 2015</xref>), enhancing communication (<xref ref-type="bibr" rid="ref109">Ujakpa et al., 2018</xref>), information sharing (<xref ref-type="bibr" rid="ref77">Luaran et al., 2016</xref>), and in teaching and learning (<xref ref-type="bibr" rid="ref36">Enakrire and Kehinde, 2022</xref>).</p>
<p>The use of WhatsApp for an educational purpose stems from the formation of &#x201C;groups&#x2014;students alone or including the teacher&#x201D; (<xref ref-type="bibr" rid="ref103">Su&#x00E1;rez-Lantar&#x00F3;n et al., 2022</xref>), where members of the group seamlessly exchange digital resources, with live discussions and online meetings (<xref ref-type="bibr" rid="ref36">Enakrire and Kehinde, 2022</xref>). This sets the stage for understanding WhatsApp&#x2019;s impact on education, which unfolds into two key areas: its direct use in learning, and the positive outcomes it fosters (<xref ref-type="bibr" rid="ref61">Iranmanesh et al., 2022</xref>). Its direct use in education is exemplified by the provision of learning resources, enhanced student-teacher interaction, learning beyond traditional classrooms, and collaboration among students. The outcomes include increased student creativity, enhanced language skills in terms of vocabulary and writing, and the encouragement of project-based learning. Other forms of outcomes also involve improving academic performance (<xref ref-type="bibr" rid="ref2">Afful and Akrong, 2020</xref>) and a sense of belonging to the learning institution (<xref ref-type="bibr" rid="ref85">Pedler et al., 2022</xref>; <xref ref-type="bibr" rid="ref107">Thompson, 2022</xref>; <xref ref-type="bibr" rid="ref26">Crawford et al., 2024</xref>).</p>
<p>Studies signify that quality factors such as information quality, social usefulness and trust remarkably enhance student satisfaction and thereby their loyalty to university (<xref ref-type="bibr" rid="ref61">Iranmanesh et al., 2022</xref>). Similarly, group importance, subject quality, and usage feature as key drivers in their participation (<xref ref-type="bibr" rid="ref44">Gazit and Aharony, 2018</xref>). <xref ref-type="bibr" rid="ref3">Ahmad et al. (2023)</xref> highlighted the significance of usefulness, ease of use, technology acceptance and being an active WhatsApp member. Elsewhere, &#x201C;System quality, information quality, and service quality all have a positive influence on student&#x2019;s perceived satisfaction&#x201D; (<xref ref-type="bibr" rid="ref8">Al-Fraihat et al., 2020</xref>), while satisfaction was widely recognized as a key predictor of students&#x2019; retention (<xref ref-type="bibr" rid="ref97">Schertzer and Schertzer, 2004</xref>; <xref ref-type="bibr" rid="ref12">Arizzi et al., 2020</xref>).</p>
<p>Students intention to remain at the university is measured in terms of return rates from one year to another throughout the educational journey (<xref ref-type="bibr" rid="ref1">Addison and Williams, 2023</xref>). Keeping students enrolled and maximizing their learning experience are two driving forces in higher learning institutions (<xref ref-type="bibr" rid="ref108">Tight, 2020</xref>). Studies reveal a clear link between belonging and students&#x2019; engagement, and their intention to stay at the university (<xref ref-type="bibr" rid="ref52">Hausmann et al., 2007</xref>; <xref ref-type="bibr" rid="ref45">Gillen-O&#x2019;Neel, 2021</xref>; <xref ref-type="bibr" rid="ref85">Pedler et al., 2022</xref>). Other studies demonstrated the reciprocal effects of both students&#x2013;school interaction (<xref ref-type="bibr" rid="ref14">Bean and Kuh, 1984</xref>; <xref ref-type="bibr" rid="ref66">Kim and Sax, 2017</xref>), and school-to-school collaboration (<xref ref-type="bibr" rid="ref117">Wu et al., 2024</xref>) on learning outcomes. Not only institutions, students among themselves can also foster inclusivity and connection by welcoming newcomers, organizing social events, and reciprocal connection.</p>
<p>Reciprocity, grounded in the exchange of social support (<xref ref-type="bibr" rid="ref16">Bowling et al., 2005</xref>), encourages knowledge sharing where participants mutually benefit and learn from each other (<xref ref-type="bibr" rid="ref13">Aslam et al., 2013</xref>). Embracing a reciprocal approach to information sharing is likely to encourage sustained retention, given availability of a ubiquitous messaging platform such as WhatsApp. The use of informal WhatsApp groups for academic purposes is relatively understudied (<xref ref-type="bibr" rid="ref69">Lakmali et al., 2021</xref>). Based on elaborations made above, the present study serves to answer the following questions:</p>
<list list-type="bullet">
<list-item>
<p>What are the impacts of WhatsApp groups on student satisfaction and their intention to stay at the university?</p>
</list-item>
<list-item>
<p>What is the role of reciprocity in enhancing student satisfaction and student retention</p>
</list-item>
</list>
<p>The contribution of this study is 4-fold: (i) investigating the potential to promote student retention by leveraging satisfaction and reciprocity within WhatsApp groups, (ii) examining WhatsApp groups&#x2019; quality through DM model theory, (iii) Evaluating students&#x2019; satisfaction from the unique perspective of its relationship with reciprocity, (iv) proposing a research model and laying the groundwork for future research.</p>
<p>The following sections detail the structure of this article. Section 2 introduces the conceptual model, Section 3 presents the hypotheses, Section 4 describes the methodology, Section 5 presents the results, Section 6 discusses the findings, and Section 7 concludes the study.</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>The conceptual model</title>
<p>A key perspective embraced by both &#x201C;Computer-mediated communication (CMC) and social software research&#x201D; is the socio-technical approach (<xref ref-type="bibr" rid="ref55">Hong et al., 2013</xref>). The socio-technical perspective views information systems (IS) as a complex interplay between people, their environment, and the system&#x2019;s technical components (<xref ref-type="bibr" rid="ref115">Whitworth and De Moor, 2003</xref>). From connectivism theory&#x2019;s point of view, learning is conducted through formation of networks within learning community (<xref ref-type="bibr" rid="ref100">Siemens, 2007</xref>), and is actuated by learners connecting to this network (<xref ref-type="bibr" rid="ref46">Goldie, 2016</xref>). In this regard, members of the same learning communities can consciously collaborate on the basis of mutual aid (<xref ref-type="bibr" rid="ref39">Fernandes-Jesus et al., 2021</xref>). The concept of mutual aid was originally coined by <xref ref-type="bibr" rid="ref68">Kropotkin (1902)</xref>.</p>
<p>Several studies, including (e.g., <xref ref-type="bibr" rid="ref115">Whitworth and De Moor, 2003</xref>; <xref ref-type="bibr" rid="ref9003">Campbell, 2008</xref>), emphasize the reciprocal relationships between &#x201C;users, the social environment, and technology as key factors for successful social software adoption.&#x201D; <xref ref-type="bibr" rid="ref104">Sugden (1984)</xref> highlighted that individuals have obligations toward members of any group from which they derive benefits. Such reciprocal membership challenges traditional power structures and promotes mutual understanding and respect (<xref ref-type="bibr" rid="ref34">Dominguez, 2023</xref>). Reciprocity is essential for fostering effective knowledge sharing in online communities (<xref ref-type="bibr" rid="ref119">Zhang et al., 2021</xref>), and fostering their overall satisfaction (<xref ref-type="bibr" rid="ref22">Cheung et al., 2013</xref>). This importance of user satisfaction is further underscored by its pivotal position in the influential DeLone and McLean (DM) IS theory (<xref ref-type="bibr" rid="ref84">Pang et al., 2020</xref>).</p>
<p>The DM IS theory, conceived by its eponymous authors in their quest for independent variables driving information system success (<xref ref-type="bibr" rid="ref31">DeLone and McLean, 1992</xref>), originally comprised six constructs. Subsequent refinements integrated the service quality dimension, solidifying the centrality of user satisfaction and user intention in the model&#x2019;s assessment of information system effectiveness (<xref ref-type="bibr" rid="ref32">DeLone and McLean, 2003</xref>). Also, organizational impact and individual impact have been conceptualized into net benefits. The updated model consisted the following six variables: &#x201C;Information, system, and service quality; intention to use; user satisfaction; and net benefits&#x201D; (<xref ref-type="bibr" rid="ref111">Urbach and M&#x00FC;ller, 2012</xref>).</p>
<p>The theory has been applied to various contexts, including social media systems. For example, study conducted by <xref ref-type="bibr" rid="ref55">Hong et al. (2013)</xref>, signify the strong impact of systems quality on user&#x2019;s intention to use instant messaging systems. Similarly, system quality and service quality are conceptualized into the context of user loyalty with mobile instant messaging (<xref ref-type="bibr" rid="ref106">Tang and Lee, 2015</xref>). In our context, we investigate the influence of system quality, information quality, and service quality on student satisfaction which in turn leads to their intention to remain enrolled. We further propose that sustained satisfaction and student retention are fostered by reciprocal relationships, generating net benefits for both students and the university. Our proposed model is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The proposed research model.</p>
</caption>
<graphic xlink:href="feduc-09-1385278-g001.tif"/>
</fig>
</sec>
<sec id="sec3">
<label>3</label>
<title>Hypothesis development</title>
<p>The DeLone and McLean model identifies &#x201C;system quality, information quality, and service quality&#x201D; as key attributes of IS success (<xref ref-type="bibr" rid="ref31">DeLone and McLean, 1992</xref>, <xref ref-type="bibr" rid="ref32">2003</xref>; <xref ref-type="bibr" rid="ref87">Petter et al., 2008</xref>; <xref ref-type="bibr" rid="ref111">Urbach and M&#x00FC;ller, 2012</xref>). System quality is related to the performance of an information system, including response time, navigation, dependability, and convenience, while information quality describes the information attributes such as being accurate, relevant, timely and comprehensive (<xref ref-type="bibr" rid="ref42">Gao and Bai, 2014</xref>). Service quality is defined as the degree of assistance received from IS staff, and it is evaluated using measures like empathy, assurance, and responsiveness (<xref ref-type="bibr" rid="ref32">DeLone and McLean, 2003</xref>).</p>
<p>Existing literature often discusses information quality and system quality together, sometimes neglecting service quality. <xref ref-type="bibr" rid="ref61">Iranmanesh et al. (2022)</xref> examined system quality and information quality in context of WhatsApp. In their study, they found that information quality exerts a positive influence on user satisfaction. Conversely, their study signified system quality does not influence user satisfaction, this even though, according to <xref ref-type="bibr" rid="ref55">Hong et al., (2013)</xref>, it is considered a technical component of IS that collaborates with the social aspect of IS to collectively shape user intention to use social media software. Recent research by <xref ref-type="bibr" rid="ref11">Al-Rahmi et al. (2021)</xref> confirms a positive link between information quality, system quality, and user intention to use social media software. According to this study, user intention is positively impacted by user satisfaction. <xref ref-type="bibr" rid="ref42">Gao and Bai (2014)</xref> highlight that user satisfaction mediates the relationship between information/system quality and user intention to use, acting as a key driver of sustained usage. Users are thus motivated to adopt and utilize systems that offer optimal technical efficiency and expected accuracy (<xref ref-type="bibr" rid="ref9001">Azzahra et al., 2023</xref>).</p>
<p>Studies examining the impact of IS dimensions (system quality, information quality, service quality) on user satisfaction and usage intention show inconsistent results. This inconsistency may be partly explained by the different research domains where these studies are conducted. For example, a recent study in the context of student information systems found that information quality, system quality, and service quality did not positively influence user satisfaction (<xref ref-type="bibr" rid="ref19">&#x00C7;elik and Ayaz, 2022</xref>). In contrast, <xref ref-type="bibr" rid="ref95">Safitri et al. (2020)</xref> found a significant relationship of the same three constructs with user satisfaction and usage intention within the context of academic information systems. Similar findings are available in in eLearning context (<xref ref-type="bibr" rid="ref10">Almaiah and Alismaiel, 2019</xref>; <xref ref-type="bibr" rid="ref35">Efilo&#x011F;lu Kurt, 2019</xref>; <xref ref-type="bibr" rid="ref5">Al Mulhem, 2020</xref>; <xref ref-type="bibr" rid="ref82">Nuryanti et al., 2021</xref>; <xref ref-type="bibr" rid="ref28">Dangaiso et al., 2022</xref>; <xref ref-type="bibr" rid="ref64">Khera, 2023</xref>), and in the context of mobile learning (<xref ref-type="bibr" rid="ref102">Srivastava et al., 2023</xref>).</p>
<disp-quote>
<p><italic>H1</italic>. Higher system quality leads to higher student&#x2019;s satisfaction of WhatsApp Group</p>
</disp-quote>
<disp-quote>
<p><italic>H2</italic>. Higher information quality leads to higher student&#x2019;s satisfaction of WhatsApp Group</p>
</disp-quote>
<disp-quote>
<p><italic>H3</italic>. Higher service quality leads to increased student&#x2019;s satisfaction of WhatsApp Group</p>
</disp-quote>
<p>Social media facilitates content sharing, emotional expression, opinion diffusion, and audience engagement (<xref ref-type="bibr" rid="ref99">Shwartz-Asher et al., 2020</xref>). Understanding why individuals share knowledge is crucial, and the concept of reciprocity plays a significant role in this understanding (<xref ref-type="bibr" rid="ref21">Chen and Hung, 2010</xref>; <xref ref-type="bibr" rid="ref119">Zhang et al., 2021</xref>). The concept of reciprocity is founded on &#x201C;give and take&#x201D; and the expectation of that the individual&#x2019;s effort will be rewarded when the roles are swapped (<xref ref-type="bibr" rid="ref33">Di Gangi et al., 2012</xref>). The reciprocity theory states that individuals are never obligated to contribute more than others in the group, thereby addressing &#x201C;the unfairness that arises from the principle of unconditional commitment&#x201D; (<xref ref-type="bibr" rid="ref104">Sugden, 1984</xref>). In addition, the level of the reciprocity has a beneficial effect on knowledge contribution in a given group (<xref ref-type="bibr" rid="ref65">Kim et al., 2006</xref>).</p>
<p>This elaboration is particularly meaningful in WhatsApp groups, where the principle of reciprocity can help maintain a balanced and fair exchange of contributions among members. For English language classes, groups formed in WhatsApp outperformed conventional groups, given that they are properly guided and controlled (<xref ref-type="bibr" rid="ref37">Farahian and Parhamnia, 2022</xref>). Likewise, graded WhatsApp assignments in courses can foster active, collaborative learning pre- and post-lectures, boosting engagement and understanding (<xref ref-type="bibr" rid="ref27">Dahdal, 2020</xref>). Social media users with a genuine intention to share and receive information are more active in creating and sharing knowledge than those who lack purpose (<xref ref-type="bibr" rid="ref99">Shwartz-Asher et al., 2020</xref>). Similarly, students &#x201C;can understand and appreciate each other, and this reciprocal understanding can reach the point where they are willing to do everything on behalf of the other&#x201D; (<xref ref-type="bibr" rid="ref105">Tamjidyamcholo et al., 2013</xref>). While reciprocity fosters belonging (<xref ref-type="bibr" rid="ref116">Wu et al., 2023</xref>), its absence is associated with exhaustion, burnout, and diminished commitment (<xref ref-type="bibr" rid="ref96">Schaufeli et al., 1996</xref>; <xref ref-type="bibr" rid="ref112">van der Ross et al., 2023</xref>). At the same, students who consider dropping out from universities has weaker sense of belonging compared to those who did not (<xref ref-type="bibr" rid="ref85">Pedler et al., 2022</xref>). Building on this discussion, this study proposes the following hypothesis:</p>
<disp-quote>
<p><italic>H4</italic>. Higher level of reciprocity leads to stronger student&#x2019;s intention to say at the university</p>
</disp-quote>
<p>Investigating the relationship between norm reciprocity and student satisfaction with their current learning institutions, this study hypothesizes a positive influence, aiming to contribute valuable insights into the dynamics of group interactions within educational settings. Studies examining both informational reciprocity and its link to student well-being (<xref ref-type="bibr" rid="ref74">Li et al., 2015</xref>; <xref ref-type="bibr" rid="ref75">Liu et al., 2023</xref>), and generalized reciprocity&#x2019;s connection to basic psychological needs (<xref ref-type="bibr" rid="ref76">Liu et al., 2021</xref>) support this positive influence. Upholding group norms, like respecting diverse opinions and maintaining positive communication, creates a predictable and supportive environment, contributing to student satisfaction with the group dynamics. This perhaps more evident in the crisis times. For example, mutual aid groups have played a vital role in the public response to the COVID-19 pandemic (<xref ref-type="bibr" rid="ref39">Fernandes-Jesus et al., 2021</xref>). This understanding aims to enhance insights into the nuanced relationships shaping interactions within WhatsApp group settings. Therefore, we propose the following hypothesis:</p>
<disp-quote>
<p><italic>H5</italic>. Higher level of reciprocity leads to increased student&#x2019;s satisfaction</p>
</disp-quote>
<p>When universities prioritize fostering student satisfaction, they create a fertile ground for successful students who are far more likely to see their journeys through to completion. Extensive body of literature exists on this concept (<xref ref-type="bibr" rid="ref97">Schertzer and Schertzer, 2004</xref>; <xref ref-type="bibr" rid="ref71">Levy, 2007</xref>; <xref ref-type="bibr" rid="ref43">Gaskell, 2009</xref>; <xref ref-type="bibr" rid="ref70">Lee and Choi, 2013</xref>; <xref ref-type="bibr" rid="ref12">Arizzi et al., 2020</xref>). Higher education is increasingly assumed as business-like services industries which prioritize meeting customer needs (<xref ref-type="bibr" rid="ref47">Gruber et al., 2010</xref>; <xref ref-type="bibr" rid="ref17">Calma and Dickson-Deane, 2020</xref>). But unlike other service industries that focus on satisfaction as target goal, universities view it as a stepping stone toward student motivation, retention, and recruitment (<xref ref-type="bibr" rid="ref98">Schreiner, 2009</xref>). <xref ref-type="bibr" rid="ref4">Al Hassani and Wilkins (2022)</xref> proposed a model where student satisfaction plays a central role, directly influencing two key outcomes: intention to stay and supportive intentions. Drawing upon this, we put forward the following hypothesis:</p>
<disp-quote>
<p><italic>H6</italic>. Higher student&#x2019;s satisfaction leads to stronger intention to say at the university</p>
</disp-quote>
</sec>
<sec sec-type="methods" id="sec4">
<label>4</label>
<title>Methodology</title>
<sec id="sec5">
<label>4.1</label>
<title>Data collection and sampling</title>
<p>This study used purposive sampling, a non-probability method that involves choosing participants based on specific criteria. <xref ref-type="bibr" rid="ref29">Daniel (2011)</xref> highlighted that purposive sampling involves the deliberate selection of research participants who satisfy precise inclusion and exclusion criteria. This method assumes that individuals with particular experiences or backgrounds offer valuable and various perceptions on the research topic (<xref ref-type="bibr" rid="ref18">Campbell et al., 2020</xref>). Therefore, this study employs purposive sampling, selecting final-year students who are active on WhatsApp, a popular social media platform among students as noted by <xref ref-type="bibr" rid="ref69">Lakmali et al. (2021)</xref>, to investigate the understudied topic of how reciprocity and satisfaction can lead to student retention in higher learning institutions.</p>
<p>To ensure an adequate sample size for the study, we employed G&#x002A;Power software which is used for computing sample size and power for a number of statistical methods (<xref ref-type="bibr" rid="ref62">Kang, 2021</xref>). Accordingly, G&#x002A;Power 3.1.9.2 software, using Cohen&#x2019;s parameters (<xref ref-type="bibr" rid="ref25">Cohen, 1988</xref>), with an effect size (f<sup>2</sup>) of 0.33, alpha (error type I) of 0.05, and beta (error type II) of 0.80, suggested a minimum sample size of 309 respondents for a two-tailed independent samples t-test. An online questionnaire was developed to test the research hypothesis. Prior research as in <xref ref-type="bibr" rid="ref32">DeLone and McLean (2003)</xref>, <xref ref-type="bibr" rid="ref114">Wasko and Faraj (2005)</xref>, <xref ref-type="bibr" rid="ref105">Tamjidyamcholo et al. (2013)</xref>, <xref ref-type="bibr" rid="ref12">Arizzi et al. (2020)</xref> was used to support the development of the questionnaire, with necessary modifications made to align with the objectives of the present study. The study population included final-year students at SIMAD University. The study specifically targeted final-year students from faculty-created and administered WhatsApp groups. The distribution of the questionnaire with 5-point Likert scale was made on December, 2023, and it lasted about one month. 309, fully-filled questionnaires were received, which were all considered to be included into the analysis. The questionnaire consisted of two sections. The first section included demographics (age, gender, marital status, education level, WhatsApp use frequency) as presented in <xref ref-type="table" rid="tab1">Table 1</xref>. The second section presented questions related to study&#x2019;s main constructs.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Characteristics</th>
<th align="center" valign="top">Number of respondents (<italic>n</italic>&#x2009;=&#x2009;309)</th>
<th align="center" valign="top">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">141</td>
<td align="center" valign="top">30.2</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">69.8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Age</td>
<td align="left" valign="top">20&#x2013;24&#x2009;years</td>
<td align="center" valign="top">188</td>
<td align="center" valign="top">93.1</td>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;29&#x2009;years</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">5.9</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;40&#x2009;years</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top">41&#x2013;50&#x2009;years</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Marital status</td>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">7.4</td>
</tr>
<tr>
<td align="left" valign="top">Single</td>
<td align="center" valign="top">187</td>
<td align="center" valign="top">92.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Educational level</td>
<td align="left" valign="top">Undergraduate</td>
<td align="center" valign="top">193</td>
<td align="center" valign="top">95.5</td>
</tr>
<tr>
<td align="left" valign="top">Master</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">4.0</td>
</tr>
<tr>
<td align="left" valign="top">PHD</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Frequency of use</td>
<td align="left" valign="top">Frequently</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">30</td>
</tr>
<tr>
<td align="left" valign="top">Rarely</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">20</td>
</tr>
<tr>
<td align="left" valign="top">Occasionally</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">Very frequently</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">41</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec6">
<label>4.2</label>
<title>Construct measurement</title>
<p>In this study, we employed a set of key constructs to comprehensively explore the dynamics within WhatsApp groups. The primary constructs under investigation include User Satisfaction, Reciprocity, System Quality, Information Quality, Service Quality, and Intention to Stay. The constructs and measurement items of the original questionnaire are shown in <xref rid="SM1" ref-type="supplementary-material">Appendix 1</xref>. To measure System and Information Quality, we adapted scales sourced from reputable sources, including (<xref ref-type="bibr" rid="ref31">DeLone and McLean, 1992</xref>, <xref ref-type="bibr" rid="ref32">2003</xref>; <xref ref-type="bibr" rid="ref41">Gable et al., 2008</xref>; <xref ref-type="bibr" rid="ref111">Urbach and M&#x00FC;ller, 2012</xref>; <xref ref-type="bibr" rid="ref6">Albaom et al., 2022</xref>; <xref ref-type="bibr" rid="ref61">Iranmanesh et al., 2022</xref>). The four-item scale for Service Quality was drawn from (<xref ref-type="bibr" rid="ref32">DeLone and McLean, 2003</xref>; <xref ref-type="bibr" rid="ref111">Urbach and M&#x00FC;ller, 2012</xref>). Satisfaction with four items was sourced from (<xref ref-type="bibr" rid="ref31">DeLone and McLean, 1992</xref>, <xref ref-type="bibr" rid="ref32">2003</xref>; <xref ref-type="bibr" rid="ref111">Urbach and M&#x00FC;ller, 2012</xref>; <xref ref-type="bibr" rid="ref61">Iranmanesh et al., 2022</xref>). Reciprocity was evaluated using a scale sourced from (<xref ref-type="bibr" rid="ref114">Wasko and Faraj, 2005</xref>; <xref ref-type="bibr" rid="ref105">Tamjidyamcholo et al., 2013</xref>; <xref ref-type="bibr" rid="ref72">Li et al., 2023</xref>). Intention to stay was adapted from (<xref ref-type="bibr" rid="ref12">Arizzi et al., 2020</xref>), consisting of three items for evaluation.</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<label>5</label>
<title>Results</title>
<p>Statistical analysis was conducted using two software packages: SPSS Statistics 23 for initial data exploration and descriptive analysis, including generating respondent demographics. Subsequently, PLS-SEM was employed to assess the measurement model (<xref ref-type="fig" rid="fig2">Figure 2</xref>) and test the hypothesized relationships in the structural model (<xref ref-type="fig" rid="fig3">Figure 3</xref>). PLS-SEM also obtains solutions with smaller sample sizes compared to CB-SEM, and it is enabled by a user-friendly software tool like SmartPLS (<xref ref-type="bibr" rid="ref48">Hair and Alamer, 2022</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The measurement model.</p>
</caption>
<graphic xlink:href="feduc-09-1385278-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Result of hypotheses testing. Significance: &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05; &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x2264;&#x2009;0.01; insignificant paths marked with dashed line.</p>
</caption>
<graphic xlink:href="feduc-09-1385278-g003.tif"/>
</fig>
<sec id="sec8">
<label>5.1</label>
<title>The measurement model</title>
<p>The measurement model was developed by assessing &#x201C;the reliability and validity of the constructs&#x201D; following the procedures recommended by <xref ref-type="bibr" rid="ref49">Hair et al. (2021)</xref>. This assessment included internal consistency, convergent validity, and discriminant validity. In assessing internal consistency, composite reliability was preferred because it considers individual indicator reliability, making it more suitable for PLS-SEM (<xref ref-type="bibr" rid="ref50">Hair et al., 2011</xref>). For a given construct, the Average Variance Extracted (AVE) and the indicator loadings reflect the degree of convergent validity. As shown in <xref ref-type="table" rid="tab2">Table 2</xref>, all indicator loadings exceeded 0.70 on their respective constructs, with the exception of three items. Although three items had loadings below 0.70, they were retained as &#x201C;their removal did not improve internal consistency or convergent validity&#x201D; (<xref ref-type="bibr" rid="ref50">Hair et al., 2011</xref>, <xref ref-type="bibr" rid="ref49">2021</xref>). All constructs demonstrated excellent internal consistency (composite reliability &#x003E;0.70) and adequate convergent validity (AVE&#x2009;&#x003E;&#x2009;0.50). Discriminant validity requires that conceptually distinct constructs should also be statistically different (<xref ref-type="bibr" rid="ref54">Henseler et al., 2016</xref>). The Fornell-Larcker criterion, shown in <xref ref-type="table" rid="tab3">Table 3</xref>, confirms that each construct measures a distinct concept. Discriminant validity was further assessed using the Heterotrait-Monotrait (HTMT) approach, where HTMT values less than 0.85 indicate satisfactory discriminant validity (<xref ref-type="bibr" rid="ref51">Hair et al., 2019</xref>). As shown in <xref ref-type="table" rid="tab4">Table 4</xref>, all HTMT values are below 0.85, indicating that our results adequately satisfy discriminant validity using the HTMT approach (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Construct validity and reliability.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Constructs</th>
<th align="center" valign="top">Items</th>
<th align="center" valign="top">Loadings</th>
<th align="center" valign="top">Mean</th>
<th align="center" valign="top">Composite reliability</th>
<th align="center" valign="top">AVE</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">INTENT</td>
<td align="center" valign="top">INTENT1</td>
<td align="center" valign="top">0.747</td>
<td align="center" valign="top">3.489</td>
<td align="center" valign="top">0.848</td>
<td align="center" valign="top">0.582</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">INTENT2</td>
<td align="center" valign="top">0.780</td>
<td align="center" valign="top">3.981</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">INTENT3</td>
<td align="center" valign="top">0.775</td>
<td align="center" valign="top">3.854</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">INTENT4</td>
<td align="center" valign="top">0.774</td>
<td align="center" valign="top">3.463</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">IQ</td>
<td align="center" valign="top">IQ1</td>
<td align="center" valign="top">0.718</td>
<td align="center" valign="top">3.443</td>
<td align="center" valign="top">0.828</td>
<td align="center" valign="top">0.547</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">IQ2</td>
<td align="center" valign="top">0.738</td>
<td align="center" valign="top">3.498</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">IQ3</td>
<td align="center" valign="top">0.740</td>
<td align="center" valign="top">3.456</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">IQ4</td>
<td align="center" valign="top">0.762</td>
<td align="center" valign="top">3.405</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">RECIP</td>
<td align="center" valign="top">Recip1</td>
<td align="center" valign="top">0.756</td>
<td align="center" valign="top">3.508</td>
<td align="center" valign="top">0.793</td>
<td align="center" valign="top">0.562</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">Recip2</td>
<td align="center" valign="top">0.706</td>
<td align="center" valign="top">3.482</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">Recip3</td>
<td align="center" valign="top">0.784</td>
<td align="center" valign="top">3.566</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SAT</td>
<td align="center" valign="top">SAT1</td>
<td align="center" valign="top">0.839</td>
<td align="center" valign="top">3.599</td>
<td align="center" valign="top">0.877</td>
<td align="center" valign="top">0.641</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">SAT2</td>
<td align="center" valign="top">0.815</td>
<td align="center" valign="top">3.550</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">SAT3</td>
<td align="center" valign="top">0.793</td>
<td align="center" valign="top">3.761</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">SAT4</td>
<td align="center" valign="top">0.753</td>
<td align="center" valign="top">3.443</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SERQ</td>
<td align="center" valign="top">SERQ1</td>
<td align="center" valign="top">0.688</td>
<td align="center" valign="top">3.819</td>
<td align="center" valign="top">0.824</td>
<td align="center" valign="top">0.540</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">SERQ2</td>
<td align="center" valign="top">0.702</td>
<td align="center" valign="top">3.693</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">SERQ3</td>
<td align="center" valign="top">0.830</td>
<td align="center" valign="top">3.935</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">SERQ4</td>
<td align="center" valign="top">0.711</td>
<td align="center" valign="top">3.443</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SQ</td>
<td align="center" valign="top">SQ1</td>
<td align="center" valign="top">0.666</td>
<td align="center" valign="top">4.152</td>
<td align="center" valign="top">0.804</td>
<td align="center" valign="top">0.508</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">SQ2</td>
<td align="center" valign="top">0.805</td>
<td align="center" valign="top">3.757</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">SQ3</td>
<td align="center" valign="top">0.666</td>
<td align="center" valign="top">3.262</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">SQ4</td>
<td align="center" valign="top">0.704</td>
<td align="center" valign="top">3.670</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Discriminant validity (Fornell-Larcker criterion).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Constructs</th>
<th align="center" valign="top">INTENT</th>
<th align="center" valign="top">IQ</th>
<th align="center" valign="top">RECIP</th>
<th align="center" valign="top">SAT</th>
<th align="center" valign="top">SERQ</th>
<th align="center" valign="top">SQ</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">INTENT</td>
<td align="center" valign="top">0.763</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">IQ</td>
<td align="center" valign="top">0.376</td>
<td align="center" valign="top">0.739</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">RECIP</td>
<td align="center" valign="top">0.438</td>
<td align="center" valign="top">0.419</td>
<td align="center" valign="top">0.700</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SAT</td>
<td align="center" valign="top">0.633</td>
<td align="center" valign="top">0.394</td>
<td align="center" valign="top">0.463</td>
<td align="center" valign="top">0.800</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SERQ</td>
<td align="center" valign="top">0.539</td>
<td align="center" valign="top">0.508</td>
<td align="center" valign="top">0.584</td>
<td align="center" valign="top">0.502</td>
<td align="center" valign="top">0.735</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">SQ</td>
<td align="center" valign="top">0.380</td>
<td align="center" valign="top">0.482</td>
<td align="center" valign="top">0.461</td>
<td align="center" valign="top">0.337</td>
<td align="center" valign="top">0.532</td>
<td align="center" valign="top">0.713</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Discriminant validity (HTMT).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Constructs</th>
<th align="center" valign="top">INTENT</th>
<th align="center" valign="top">IQ</th>
<th align="center" valign="top">RECIP</th>
<th align="center" valign="top">SAT</th>
<th align="center" valign="top">SERQ</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">INTENT</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">IQ</td>
<td align="center" valign="top">0.490</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">RECIP</td>
<td align="center" valign="top">0.603</td>
<td align="center" valign="top">0.592</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SAT</td>
<td align="center" valign="top">0.809</td>
<td align="center" valign="top">0.508</td>
<td align="center" valign="top">0.663</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">SERQ</td>
<td align="center" valign="top">0.705</td>
<td align="center" valign="top">0.686</td>
<td align="center" valign="top">0.818</td>
<td align="center" valign="top">0.627</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">SQ</td>
<td align="center" valign="top">0.526</td>
<td align="center" valign="top">0.692</td>
<td align="center" valign="top">0.686</td>
<td align="center" valign="top">0.450</td>
<td align="center" valign="top">0.711</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<label>5.2</label>
<title>Structural model</title>
<p><xref ref-type="table" rid="tab5">Table 5</xref> examines the hypotheses that SQ, IQ, and SERQ affect student SAT in WhatsApp group, with RECIP posited to impact SAT and INTENT. The statistical analysis supports several relationships within this framework. The relationship between SQ and SAT was not statistically significant. However, IQ has a significant positive effect on SAT (&#x03B2;&#x2009;=&#x2009;0.173, <italic>T</italic>-value&#x2009;=&#x2009;2.693, <italic>p</italic>-value&#x2009;=&#x2009;0.007), indicating that higher information quality shared among WhatsApp group members will drive their satisfaction. RECIP also positively influences INTENT (&#x03B2;&#x2009;=&#x2009;0.144, <italic>T</italic>-value=&#x2009;2.743, <italic>p</italic>-value&#x2009;=&#x2009;0.006). Additionally, SAT significantly influences INTENT (&#x03B2;&#x2009;=&#x2009;0.568, <italic>T</italic>-value=&#x2009;10.414, <italic>p</italic>-value&#x2009;=&#x2009;0.00), while RECIP exerts a positive influence on both SAT (&#x03B2;&#x2009;=&#x2009;0.253, <italic>T</italic>-value=&#x2009;4.284, <italic>p</italic>-value&#x2009;=&#x2009;0.00), and INTENT (&#x03B2;&#x2009;=&#x2009;0.144, <italic>T</italic>-value=&#x2009;2.743, <italic>p</italic>-value&#x2009;=&#x2009;0.006). Similarly, SERQ has a positive impact on SAT (&#x03B2;&#x2009;=&#x2009;0.284, <italic>T</italic>-value=&#x2009;4.410, <italic>p-</italic>value&#x2009;=&#x2009;0.00).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Hypothesis testing.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Hypothesis</th>
<th align="center" valign="top">Relationship</th>
<th align="center" valign="top">&#x03B2;</th>
<th align="center" valign="top"><italic>T</italic>-value</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="left" valign="top">Decision</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">H1</td>
<td align="center" valign="top">SQ &#x2794; SAT</td>
<td align="center" valign="top">&#x2212;0.001</td>
<td align="center" valign="top">0.023</td>
<td align="center" valign="top">0.981</td>
<td align="left" valign="top">Rejected</td>
</tr>
<tr>
<td align="left" valign="top">H2</td>
<td align="center" valign="top">IQ &#x2794; SAT</td>
<td align="center" valign="top">0.147</td>
<td align="center" valign="top">2.298</td>
<td align="center" valign="top">0.022 (&#x002A;&#x002A;)</td>
<td align="left" valign="top">Supported</td>
</tr>
<tr>
<td align="left" valign="top">H3</td>
<td align="center" valign="top">SERQ &#x2794; SAT</td>
<td align="center" valign="top">0.284</td>
<td align="center" valign="top">4.410</td>
<td align="center" valign="top">0.000 (&#x002A;&#x002A;&#x002A;)</td>
<td align="left" valign="top">Supported</td>
</tr>
<tr>
<td align="left" valign="top">H4</td>
<td align="center" valign="top">RECIP &#x2794; INTENT</td>
<td align="center" valign="top">0.144</td>
<td align="center" valign="top">2.743</td>
<td align="center" valign="top">0.006 (&#x002A;&#x002A;&#x002A;)</td>
<td align="left" valign="top">Supported</td>
</tr>
<tr>
<td align="left" valign="top">H5</td>
<td align="center" valign="top">RECIP &#x2794; SAT</td>
<td align="center" valign="top">0.253</td>
<td align="center" valign="top">4.284</td>
<td align="center" valign="top">0.000 (&#x002A;&#x002A;&#x002A;)</td>
<td align="left" valign="top">Supported</td>
</tr>
<tr>
<td align="left" valign="top">H6</td>
<td align="center" valign="top">SAT &#x2794; INTENT</td>
<td align="center" valign="top">0.568</td>
<td align="center" valign="top">10.414</td>
<td align="center" valign="top">0.000 (&#x002A;&#x002A;&#x002A;)</td>
<td align="left" valign="top">Supported</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Significance level: &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01.</p>
</table-wrap-foot>
</table-wrap>
<p>Two other criteria evaluated for the structural model are <italic>R</italic>-Square and <italic>F</italic>-Square. <italic>R</italic>-square, a measure of a model&#x2019;s explanatory power, has a range of values between 0 and 1. Higher values indicate a greater ability to explain the variance in the dependent variable (<xref ref-type="bibr" rid="ref110">Urbach and Ahlemann, 2010</xref>). <xref ref-type="bibr" rid="ref23">Chin (1998)</xref> provides guidelines for interpreting <italic>R</italic>-square values: 0.670 or higher is substantial, around 0.333 is average, and 0.190 or below is weak. The adjusted <italic>R</italic>-square values for INTENT and SAT are 0.425 and 0.321, respectively. This means that 42.5% of the variance in INTENT is explained by the independent variables SAT and RECIP. Similarly, 32.1% of the variance in SAT is explained by the independent variables SQ, IQ, and SERQ.</p>
<p>F-square measures the level of effect of an independent variable on a dependent variable in a structural model. <xref ref-type="bibr" rid="ref25">Cohen (1988)</xref> proposed that F-square values of 0.02, 0.15, and 0.35 represent small, medium, and large effects, respectively. In our analysis, SAT demonstrates a substantial effect on INTENT (0.435). RECIP exerts a small effect on both SAT (0.064) and INTENT (0.028). SERQ displays a small to medium effect on SAT (0.134), while IQ has minor effects on SAT (0.021). SQ, on the other hand, exhibits no effect on SAT (0.000).</p>
</sec>
<sec id="sec10">
<label>5.3</label>
<title>Indirect effects</title>
<p><xref ref-type="table" rid="tab6">Table 6</xref> shows the analysis of indirect effects on intention to stay (INTENT). IQ (&#x03B2;&#x2009;=&#x2009;0.084, <italic>T</italic>-value=&#x2009;2.317, <italic>p</italic>-value&#x2009;=&#x2009;0.021), RECIP (&#x03B2;&#x2009;=&#x2009;0.146, <italic>T</italic>-value=&#x2009;4.097, <italic>p</italic>-value&#x2009;=&#x2009;0.000), and SERQ (&#x03B2;&#x2009;=&#x2009;0.161, <italic>T</italic>-value=&#x2009;3.878, <italic>p</italic>-value&#x2009;=&#x2009;0.000) all have significant and positive indirect effects on INTENT. Higher levels of each factor contribute to increased user satisfaction, ultimately leading to a greater likelihood of user retention. However, SQ shows no significant indirect effect on INTENT (&#x03B2;&#x2009;=&#x2009;0.000, <italic>T</italic>-value=&#x2009;0.006, <italic>p</italic>-value&#x2009;=&#x2009;0.995).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>User Satisfaction (SAT) mediating the effects of IQ, RECIP, SERQ, SQ on Intention to Stay (INTENT).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Relationships</th>
<th align="center" valign="top">&#x03B2;</th>
<th align="center" valign="top"><italic>T</italic>-value</th>
<th align="center" valign="top"><italic>p</italic>-values</th>
<th align="left" valign="top">Decision</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">IQ<bold>&#x2794;</bold> INTEN</td>
<td align="center" valign="top">0.084</td>
<td align="center" valign="top">2.317</td>
<td align="center" valign="top">0.021</td>
<td align="left" valign="top">Supported</td>
</tr>
<tr>
<td align="left" valign="top">RECIP<bold>&#x2794;</bold> INTENT</td>
<td align="center" valign="top">0.146</td>
<td align="center" valign="top">4.097</td>
<td align="center" valign="top">0.000</td>
<td align="left" valign="top">Supported</td>
</tr>
<tr>
<td align="left" valign="top">SERQ<bold>&#x2794;</bold> INTENT</td>
<td align="center" valign="top">0.161</td>
<td align="center" valign="top">3.878</td>
<td align="center" valign="top">0.000</td>
<td align="left" valign="top">Supported</td>
</tr>
<tr>
<td align="left" valign="top">SQ<bold>&#x2794;</bold> INTENT</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">0.006</td>
<td align="center" valign="top">0.995</td>
<td align="left" valign="top">Rejected</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec11">
<label>6</label>
<title>Discussion</title>
<p>The present study aimed to investigate the impacts of WhatsApp groups on student satisfaction and their intention to stay at the university, utilizing the Delone and McLean IS Success Model along with the incorporation of reciprocity. A research model was proposed, followed by the development of a questionnaire specifically designed for testing the model. PLS-SEM was then employed to validate and analyze the proposed model. Our findings revealed a nuanced understanding of the relationships between various constructs. According to the analysis results, H1, which posited a higher positive relationship between system quality (SQ) and satisfaction (SAT), was rejected (&#x03B2; value&#x2009;=&#x2009;0.041, <italic>T</italic>-value=&#x2009;0.718, <italic>p</italic>-value&#x2009;=&#x2009;0.473). This finding aligns with a previous study by <xref ref-type="bibr" rid="ref61">Iranmanesh et al. (2022)</xref>, which similarly demonstrated an insignificant relationship between system quality and satisfaction. Several potential interpretations can be offered for this counterintuitive outcome. One possibility lies in the widespread adoption of WhatsApp in Somalia, potentially fostering a sense of familiarity and confidence among users. As <xref ref-type="bibr" rid="ref58">Hsu et al. (2011)</xref> argued, user&#x2019;s experience with a system can diminish concerns about its technical aspects, rendering system quality less critical for overall satisfaction.</p>
<p>In contrast, the statistical analysis provides strong support for hypotheses H2, H3, H4, H5, and H6. H2 specifically shows a highly significant positive association between information quality (IQ) and student satisfaction (SAT). This is evidenced by a &#x03B2;-value of 0.173, <italic>T</italic>-value of 2.693, and <italic>p</italic>-value of 0.007. These findings are consistent with the findings of <xref ref-type="bibr" rid="ref61">Iranmanesh et al. (2022)</xref>, which highlighted the pivotal role of information in WhatsApp groups discussions. Within these groups, members freely exchange content and opinions without restrictions, and opinions, as noted by <xref ref-type="bibr" rid="ref61">Iranmanesh et al. (2022)</xref>, are subjective, and there are no clear-cut answers. With respect to information quality, WhatsApp content may enhance student participation and facilitate prelogical delivery (<xref ref-type="bibr" rid="ref92">Rambe and Bere, 2013</xref>), but there remains a concern regarding its accuracy and reliability.</p>
<p>Numerous studies have consistently highlighted a strong link between service quality and user satisfaction (<xref ref-type="bibr" rid="ref94">Roca et al., 2006</xref>; <xref ref-type="bibr" rid="ref113">Wang and Chiu, 2011</xref>; <xref ref-type="bibr" rid="ref79">Mohammadi, 2015</xref>; <xref ref-type="bibr" rid="ref20">Chandra et al., 2019</xref>; <xref ref-type="bibr" rid="ref88">Pham et al., 2019</xref>). This connection holds true even in mobile communication and instant messaging, as research by <xref ref-type="bibr" rid="ref83">Oghuma et al. (2016)</xref> demonstrates that service quality significantly predicts user satisfaction. Our study corroborates these findings, demonstrating that higher service quality in WhatsApp groups leads to greater student satisfaction (&#x03B2;&#x2009;=&#x2009;0.39, <italic>T</italic> =&#x2009;6.462, <italic>p</italic> &#x003C;&#x2009;0.001). This emphasizes the importance of service quality in WhatsApp groups, suggesting that improving service standards can enhance student satisfaction and create a more positive learning environment.</p>
<p>Our findings demonstrate a positive correlation between increased student satisfaction and a stronger intention to stay at the university. This aligns with previous research by <xref ref-type="bibr" rid="ref112">van der Ross et al. (2023)</xref> and <xref ref-type="bibr" rid="ref12">Arizzi et al. (2020)</xref> who established a clear link between satisfaction and student retention. Similar studies (<xref ref-type="bibr" rid="ref97">Schertzer and Schertzer, 2004</xref>; <xref ref-type="bibr" rid="ref71">Levy, 2007</xref>; <xref ref-type="bibr" rid="ref43">Gaskell, 2009</xref>; <xref ref-type="bibr" rid="ref70">Lee and Choi, 2013</xref>) further support this connection. Student retention is the responsibility of higher education institutions (HEI) (<xref ref-type="bibr" rid="ref108">Tight, 2020</xref>). Therefore, it is not surprising that student satisfaction with these institutions is highly prioritized. Benefits of student satisfaction extend even beyond retention. Research by <xref ref-type="bibr" rid="ref12">Arizzi et al. (2020)</xref> demonstrates that satisfaction can also influence students&#x2019; willingness to recommend the university to others. This highlights the potential for satisfied students to become advocates for the university, attracting new students and ultimately bolstering the university&#x2019;s reputation.</p>
<p>While student dropouts can be associated with financial constraints, family commitments, and job commitments (<xref ref-type="bibr" rid="ref81">Nieuwoudt and Pedler, 2023</xref>), numerous studies highlight the crucial role of social factors in academic success. These include social capital (<xref ref-type="bibr" rid="ref59">Huang, 2021</xref>; <xref ref-type="bibr" rid="ref80">Ngoc Ton et al., 2023</xref>), a sense of belonging (<xref ref-type="bibr" rid="ref85">Pedler et al., 2022</xref>; <xref ref-type="bibr" rid="ref26">Crawford et al., 2024</xref>), feeling of being at home (<xref ref-type="bibr" rid="ref53">HeavyRunner and DeCelles, 2002</xref>), and, as our study focuses on, reciprocity (<xref ref-type="bibr" rid="ref67">Koranteng et al., 2019</xref>). Reciprocity goes beyond simply feeling like you belong. It fosters mutual aid and support. Conversely, a lack of it can lead to exhaustion and burnout as students feel unsupported and their efforts go unrecognized (<xref ref-type="bibr" rid="ref96">Schaufeli et al., 1996</xref>; <xref ref-type="bibr" rid="ref112">van der Ross et al., 2023</xref>).</p>
<p>Considering this perspective, reciprocity- a dimension of social capital and the mutual exchange of knowledge perceived as fair by group members (<xref ref-type="bibr" rid="ref67">Koranteng et al., 2019</xref>), was posited to have an impact on students&#x2019; intention to stay at their current institution. Our findings confirmed this, demonstrating that reciprocity is highly correlated with the students&#x2019; intention to stay. This is because recognizing the significance of reciprocity within the realm of student retention opens avenues for educational institutions to enhance social support structures and foster a positive communal environment, ultimately contributing to the overall well-being and success of students in higher education.</p>
</sec>
<sec id="sec12">
<label>7</label>
<title>Conclusion and future work</title>
<p>WhatsApp groups in classrooms are becoming increasingly popular, facilitating easy communication and information sharing among group members. However, despite its growing popularity, the tool has not been utilized strategically for educational purposes. This study provides a novel insight: WhatsApp groups can be devised to address the problem of students dropping out from universities. Information quality, with its influence on satisfaction, underscores the importance of accurate and relevant information exchange within these groups (<xref ref-type="bibr" rid="ref61">Iranmanesh et al., 2022</xref>). In the same way, providing quality of service to students is also considered a key determinant to satisfaction (<xref ref-type="bibr" rid="ref78">Mohammad Salameh et al., 2018</xref>). Nevertheless, the quality of WhatsApp as a system does not pose any concerns on student satisfaction. On the other hand, students seem to be more confident and self-assured about the quality of WhatsApp application. The present study establishes a robust connection between satisfaction and students&#x2019; intention to stay at the university, aligning with broader literature on the positive correlation between satisfaction and retention (<xref ref-type="bibr" rid="ref97">Schertzer and Schertzer, 2004</xref>; <xref ref-type="bibr" rid="ref71">Levy, 2007</xref>; <xref ref-type="bibr" rid="ref43">Gaskell, 2009</xref>; <xref ref-type="bibr" rid="ref70">Lee and Choi, 2013</xref>). Reciprocity, a dimension of social capital, emerged as a noteworthy contributor to students&#x2019; intention to stay. The mutual exchange of knowledge perceived as fair by group members played a pivotal role, emphasizing the importance of reciprocity in fostering commitment and preventing exhaustion and burnout.</p>
<p>The findings of this research have practical implications for educational institutions. <italic>First</italic>, educators can play a pivotal role in ensuring high-quality information within WhatsApp groups. This might involve providing curated resources, facilitating discussions around credible sources, and discouraging the spread of misinformation. <italic>Second</italic>, strategies to enhance service quality within these groups could involve establishing clear group norms, assigning dedicated administrators to manage discussions and address concerns, and ensuring prompt responses to student inquiries. <italic>Third</italic>, encouraging active participation, peer-to-peer learning, and knowledge sharing activities can further strengthen the sense of community and reciprocity within WhatsApp groups.</p>
<p>This study offers valuable insights, but limitations exist. The context of SIMAD University and potential cultural impact warrant further exploration. Future research could investigate these dynamics in different cultural and institutional settings, particularly focusing on how cultural factors interact with the identified influences on student retention.</p>
</sec>
<sec sec-type="data-availability" id="sec13">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="SM1" ref-type="supplementary-material">supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec14">
<title>Ethics statement</title>
<p>Ethical approval was not required for the study involving human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>IA: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MM: Conceptualization, Writing &#x2013; review &#x0026; editing. YA: Writing &#x2013; review &#x0026; editing, Methodology.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec16">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</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 sec-type="disclaimer" id="sec18">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec19">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/feduc.2024.1385278/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/feduc.2024.1385278/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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