Adoption of Educational Social Network Sites in Teaching and Learning: A Task-Technology Fit Perspective
Different classes of people, especially students benefit from the advantages of Social Network Sites (SNS). Although commercial types of SNS, including Facebook and LinkedIn, are commonly used by the students, there are few studies on the educational SNS, including Edmodo. A research model has been provided in the present study based on the Task Technology Fit (TTF) theory in order to examine the factors which are mainly unexplored and may affect the utilization of educational SNS in the process of teaching and learning. Distribution of the questionnaires was carried out among 317 students of the technological university in Malaysia, according to purposive sampling. Data analysis was performed by SmartPLS2.0, the results of which indicated considerable impacts of Communication, Mobility, Trust, and Privacy as the features of technology on TTF. Accordingly, negative effects of task non-routineness and the positive effects of task interdependence on TTF were reported. At the same time, direct examination of adopting SNS in the process of teaching and learning was done using the fit between task and technology features.
Adali, S., Escriva, R., Goldberg, M.K., Hayvanovych, M., Magdon-Ismail, M., Szymanski, B.K., Wallace, W.A., Williams, G., 2010. Measuring behavioral trust in social networks, 2010 IEEE International Conference on Intelligence and Security Informatics. IEEE, pp. 150-152.
Alalwan, A.A., Dwivedi, Y.K., Williams, M.D., 2016. Customers’ intention and adoption of telebanking in Jordan. Information Systems Management 33(2), 154-178.
Asadi, S., Abdullah, R., Safaei, M., Nazir, S., 2019a. An integrated SEM-Neural Network approach for predicting determinants of adoption of wearable healthcare devices. Mobile Information Systems 2019.
Asadi, S., Hussin, A., Dahlan, H., Yadegaridehkordi, E., 2015. Theoretical model for green information technology adoption. ARPN Journal of Engineering and Applied Sciences 10(23), 17720-17729.
Asadi, S., Hussin, A.R.C., Dahlan, H.M., 2018. Toward Green IT adoption: from managerial perspective. International Journal of Business Information Systems 29(1), 106-125.
Asadi, S., Nilashi, M., Husin, A.R.C., Yadegaridehkordi, E., 2017. Customers perspectives on adoption of cloud computing in banking sector. Information Technology and Management 18(4), 305-330.
Asadi, S., Nilashi, M., Safaei, M., Abdullah, R., Saeed, F., Yadegaridehkordi, E., Samad, S., 2019b. Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing industry. Resources, Conservation and Recycling 148, 36-54.
Asadi, S., Saedi, A., 2016. Decision makers intention for adoption of Green Information Technology, 2016 3rd International Conference on Computer and Information Sciences (ICCOINS). IEEE, pp. 91-96.
Awad, N.F., Krishnan, M.S., 2006. The personalization privacy paradox: an empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS quarterly, 13-28.
Baas, P., van Rekom, C.-r.D.J., 2010. Task-technology fit in the workplace. Affecting employee satisfaction and productivity, Rotterdam School of Management, Erasmus University.
Banbersta, M., 2010. The success factors of the social network sites “Twitter”. Netherlands: Utrecht University of Applied Sciences, 22-60.
Bertram, D., 2007. Likert scales. Retrieved November, 2, 2013.
Borgatti, S.P., Cross, R., 2003. A relational view of information seeking and learning in social networks. Management science 49(4), 432-445.
Bott, E., Spillius, E.B., 2014. Family and social network: Roles, norms and external relationships in ordinary urban families. Routledge.
Brady, K., 2008. The promises and pitfalls of social-networking websites. School Business Affairs 74(9), 24-28.
Chen, C.-W., Shiue, Y.-C., Shih, P.-Y., 2011. Why firms do not adopt SaaS. African Journal of Business Management 5(15), 6443.
CHIN, L.P., AHMAD, Z.A., 1970. Consumers Intention to Use a Single Platform E-Payment System: A Study Among Malaysian Internet and Mobile Banking Users. The Journal of Internet Banking and Commerce 20(1), 1-13.
Chu, Y., Huang, L., 2008. Mobile technologies adoption: An exploratory case study. Tsinghua Science and Technology 13(3), 300-305.
Clarke, T., Minocha, S., 2009. Role of social software tools in education: a literature review. Education+ Training.
Collin, P., Rahilly, K., Richardson, I., Third, A., 2011. The benefits of social networking services.
Compeau, D., Higgins, C.A., Huff, S., 1999. Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS quarterly, 145-158.
Coşkunçay, D.F., 2013. Identifying the factors affecting users’ adoption of social networking. International Journal of Human Computer Interaction 4(1), 1-18.
Creswell, J.W., Creswell, J.D., 2017. Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
D'Ambra, J., Wilson, C.S., Akter, S., 2013. Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by A cademics. Journal of the American society for information science and technology 64(1), 48-64.
Dalvi-Esfahani, M., Alaedini, Z., Nilashi, M., Samad, S., Asadi, S., Mohammadi, M., 2020. Students’ green information technology behavior: Beliefs and personality traits. Journal of Cleaner Production 257, 120406.
Dapp, T.F., Stobbe, A., Wruuck, P., Keane, B., Napier, J., Sabadra, A., Yamada, Y., Speyer, B., AG, D.B., Hoffmann, R., 2012. The future of (mobile) payments.
Dennis, A.R., Venkatesh, V., Ramesh, V., 2003. Adoption of collaboration technologies: Integrating technology acceptance and collaboration technology research. Working Papers on Information Systems 3(8), 3-8.
Dickson, A., Holley, R.P., 2010. Social networking in academic libraries: the possibilities and the concerns. New library world.
Dishaw, M.T., Strong, D.M., 1999. Extending the technology acceptance model with task–technology fit constructs. Information & management 36(1), 9-21.
DuBois, T., Golbeck, J., Srinivasan, A., 2011. Predicting trust and distrust in social networks, 2011 IEEE third international conference on privacy, security, risk and trust and 2011 IEEE third international conference on social computing. IEEE, pp. 418-424.
Duncan, J.C., Chandler, P.D., 2011. A community of practice for early career biology teachers: Social networking and digital Technologies. Proceedings of Contemporary Approaches to Research in Mathematics, Science, Health and Environmental Education.
Dwyer, C., 2007. Task Technology Fit, the social technical gap and social networking sites. AMCIS 2007 Proceedings, 374.
Fogel, J., Nehmad, E., 2009. Internet social network communities: Risk taking, trust, and privacy concerns. Computers in human behavior 25(1), 153-160.
Fornell, C., Larcker, D.F., 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research 18(1), 39-50.
GANTA, S., REDDY, M.S., 2012. RULE BASED ACCESS CONTROL FOR SECURITY AND PRIVACY IN ONLINE SOCIAL NETWORKS.
Gebauer, J., Shaw, M.J., Gribbins, M.L., 2010. Task-technology fit for mobile information systems. Journal of Information Technology 25(3), 259-272.
Gebauer, J., Tang, Y., 2007. Applying the theory of task-technology fit to mobile information systems: the role of user mobility, International Conference on the Management of Mobile Business (ICMB 2007). IEEE, pp. 38-38.
Genç, Z., 2010. Web 2.0 yeniliklerinin eğitimde kullanımı: Bir Facebook eğitim uygulama örneği. Akademik Bilişim 10, 10-12.
Goodhue, D.L., Thompson, R.L., 1995. Task-technology fit and individual performance. MIS quarterly, 213-236.
Hair, J.F., Ringle, C.M., Sarstedt, M., 2011. PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice 19(2), 139-152.
Hair Jr, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M., 2016. A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Halm, J., Tullier, C., D’Mello, A., Bartels, R., Wittman, A., Lamboley, D., Smith, T., Hartless, R., Lay, M., Gockenbach, J., 2012. Use of Social Networking Tools in Unit 5. SNT White Paper. Unit 5.
Helou, A.M., Rahim, N.Z.A., 2014. The influence of social networking sites on students’ academic performance in Malaysia. International Journal of Electronic Commerce Studies 5(2), 247-254.
Hossain, L., de Silva, A., 2009. Exploring user acceptance of technology using social networks. The Journal of High Technology Management Research 20(1), 1-18.
Hsu, Y., Tran, T.H.C., 2013. Social relationship factors influence on EWOM behaviors in social networking sites: empirical study: Taiwan and Vietnam. International Journal of Business, Humanities and Technology 3(3), 22-31.
Huang, J.H., Lin, Y.R., Chuang, S.T., 2007. Elucidating user behavior of mobile learning. The electronic library.
Hulland, J., 1999. Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal 20(2), 195-204.
Jarvenpaa, S.L., Staples, D.S., 2000. The use of collaborative electronic media for information sharing: an exploratory study of determinants. The Journal of Strategic Information Systems 9(2-3), 129-154.
Junglas, I., Abraham, C., Watson, R.T., 2008. Task-technology fit for mobile locatable information systems. Decision support systems 45(4), 1046-1057.
Kelly, P., Lawlor, J., Mulvey, M., 2010. A review of key factors affecting consumer‟ s adoption and usage of self-service technologies in tourism, THRIC Conference, Shannon. pp. 15-16.
Khedo, K.K., Ally, S.M.R., Suntoo, R., Mocktoolah, A., 2012. Case Studies on the Use of Online Social Networking in Formal Education. International Journal of Computer Applications 45(8), 21-26.
Kordestani, A.A., Limayem, M., Salehi-Sangari, E., Blomgren, H., Afsharipour, A., 2015. Why a few social networking sites succeed while many fail, The Sustainable Global Marketplace. Springer, pp. 283-285.
Kwon, O., Wen, Y., 2010. An empirical study of the factors affecting social network service use. Computers in human behavior 26(2), 254-263.
Lee, J.D., See, K.A., 2004. Trust in automation: Designing for appropriate reliance. Human factors 46(1), 50-80.
Liccardi, I., Ounnas, A., Pau, R., Massey, E., Kinnunen, P., Lewthwaite, S., Midy, M.-A., Sarkar, C., 2007. The role of social networks in students' learning experiences. ACM Sigcse Bulletin 39(4), 224-237.
Liden, R.C., Wayne, S.J., Bradway, L.K., 1997. Task interdependence as a moderator of the relation between group control and performance. Human Relations 50(2), 169-181.
Lin, T.-C., Huang, C.-C., 2008. Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit. Information & management 45(6), 410-417.
Lippert, S.K., 2002. An exploratory study into the relevance of trust in the context of information systems technology.
Lockyer, L., Patterson, J., 2008. Integrating social networking technologies in education: a case study of a formal learning environment, 2008 eighth IEEE international conference on advanced learning technologies. IEEE, pp. 529-533.
Lu, H.-P., Yang, Y.-W., 2014. Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fit. Computers in Human Behavior 34, 323-332.
Mach, N., 2013. Social Networking to Engage and Enhance Teacher Training, EdMedia+ Innovate Learning. Association for the Advancement of Computing in Education (AACE), pp. 2508-2513.
Mason, R., Rennie, F., 2008. Social networking as an educational tool. E-learning and social networking handbook: Resources for higher education, 1-24.
Mazman, S.G., Usluel, Y.K., 2010. Modeling educational usage of Facebook. Computers & Education 55(2), 444-453.
Mcknight, D.H., Carter, M., Thatcher, J.B., Clay, P.F., 2011. Trust in a specific technology: An investigation of its components and measures. ACM Transactions on management information systems (TMIS) 2(2), 1-25.
Means, B., Toyama, Y., Murphy, R., Bakia, M., Jones, K., 2009. Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies.
Mew, L.Q., 2009. Online social networking: a task-person-technology fit perspective. The George Washington University.
Milošević, I., Živković, D., Arsić, S., Manasijević, D., 2015. Facebook as virtual classroom–Social networking in learning and teaching among Serbian students. Telematics and Informatics 32(4), 576-585.
Mirabolghasemi, M., Iahad, N.A., 2013. Social network intervention for the enhancement of students’ social presence in relation to satisfaction and perceived learning. International Journal of Web Based Communities 9(2), 233-242.
Mokbel, M.F., Sarwat, M., 2013. Mobility and social networking: A data management perspective. Proceedings of the VLDB Endowment 6(11), 1196-1197.
Muthusamy, S.K., Wheeler, J.V., Simmons, B.L., 2005. Self-managing work teams: enhancing organizational innovativeness. Organization Development Journal 23(3), 53-66.
Ngai, E., Cheng, T., Ho, S., 2004. Critical success factors of web-based supply-chain management systems: an exploratory study. Production Planning & Control 15(6), 622-630.
Ou, C.X., Davison, R.M., Cheng, N.C., 2011. Why Are Social Networking Applications Successful: An Empirical Study Of Twitter, PACIS. p. 145.
Oye, N., Iahad, N., Madar, M., Rahim, N., 2012. The impact of e-learning on students’ performance in tertiary institutions. International Journal of Computer Networks and Wireless Communications 2(2), 121-130.
Ozkan, B., McKenzie, B., 2008. Social networking tools for teacher education, Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE), pp. 2772-2776.
Priyadarshini, A., Rajauria, G., O'Donnell, C.P., Tiwari, B.K., 2019. Emerging food processing technologies and factors impacting their industrial adoption. Critical reviews in food science and nutrition 59(19), 3082-3101.
Roberts, T.S., McInnerney, J.M., 2007. Seven problems of online group learning (and their solutions). Journal of Educational Technology & Society 10(4), 257-268.
Rosmala, D., 2012. Study of social networking usage in higher education environment. Procedia-Social and Behavioral Sciences 67, 156-166.
Samad, S., Asadi, S., Nilashi, M., Ibrahim, O., Abumalloh, R.A., Abdullah, R., 2020. Organizational Performance and Adoption of Green IT from the Lens of Resource Based View. Journal of Soft Computing and Decision Support Systems 7(2), 1-6.
Saw, J.H., 2012. Feasibility of social networking media in project communications management based on task-technology fit. Universiti Teknologi Malaysia.
Selwyn, N., 2000. Creating a" connected" community? Teachers' use of an electronic discussion group. Teachers College Record 102(4), 750-778.
Selwyn, N., 2007. Web 2.0 applications as alternative environments for informal learning-a critical review, Paper for CERI-KERIS international expert meeting on ICT and educational performance. p. 17.
Sewry, D., Schlenkrich, L., 2012. Factors for successful use of social networking sites in higher education. South African Computer Journal 49(1), 12-24.
Shang, R.-A., Chen, Y.-C., Chen, C.-M., 2007. Why people blog? An empirical investigations of the task technology fit model. PACIS 2007 proceedings, 5.
Sohaei, S., & Iahad, N. A. (2014). Review on Social Network Sites for Teaching and Learning. Journal of information systems research and innovation, 7(1), 10-16.
Soliman, K.S., Janz, B.D., 2004. An exploratory study to identify the critical factors affecting the decision to establish Internet-based interorganizational information systems. Information & Management 41(6), 697-706.
Tan, C., Lee, L., Tang, J., Jiang, L., Zhou, M., Li, P., 2011. User-level sentiment analysis incorporating social networks, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining. pp. 1397-1405.
Thongmak, M., 2013. Social network system in classroom: Antecedents of edmodo© adoption. Journal of E-learning and Higher Education 2013(1), 1-15.
Tuunainen, V.K., Pitkänen, O., Hovi, M., 2009. Users' awareness of privacy on online social networking sites-case facebook. Bled 2009 Proceedings, 42.
Weippl, E.R., Ebner, M., 2008. Security privacy challenges in e-learning 2.0, E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. Association for the Advancement of Computing in Education (AACE), pp. 4001-4007.
Williams, M., Rana, N., Dwivedi, Y., Lal, B., 2011. Is UTAUT really used or just cited for the sake of it? A systematic review of citations of UTAUT’s originating article.
Wills, M.J., 2012. Evaluating the Impact of Electronic Health Records on Clinical Reasoning Performance Using Task-Technology Fit Theory.
Wills, M.J., El-Gayar, O.F., Deokar, A.V., 2012. Evaluating the impact of electronic health records on clinical reasoning performance, 2012 45th Hawaii International Conference on System Sciences. IEEE, pp. 2830-2839.
Wixom, B.H., Todd, P.A., 2005. A theoretical integration of user satisfaction and technology acceptance. Information systems research 16(1), 85-102.
Yadegaridehkordi, E., Iahad, N.A., Asadi, S., 2015. Cloud computing adoption behaviour: an application of the technology acceptance model. Journal of Soft Computing and Decision Support Systems 2(2), 11-16.
Yadegaridehkordi, E., Nilashi, M., Shuib, L., Nasir, M.H.N.B.M., Asadi, S., Samad, S., Awang, N.F., 2020. The impact of big data on firm performance in hotel industry. Electronic Commerce Research and Applications 40, 100921.
Yadegaridehkordi, E., Shuib, L., Nilashi, M., Asadi, S., 2019. Decision to adopt online collaborative learning tools in higher education: A case of top Malaysian universities. Education and Information Technologies 24(1), 79-102.
Yampinij, S., Sangsuwan, M., Chuathong, S., 2012. A conceptual framework for social network to support collaborative learning (SSCL) for enhancing knowledge construction of grade 3 students. Procedia-Social and Behavioral Sciences 46, 3747-3751.
Yapıcı, İ.Ü., Hevedanlı, M., 2014. Educational use of social networks: Facebook case study. European Journal of Research on Education 2(4), 16-21.
Zadeh, S.B., 2014. Investigating the Influence of External Variables and Mediators on Learning Management System Utilization Among Educations Students of Three Malaysian Research Universities. Universiti Putra Malaysia.
Zheng, W., 2007. The nature of mobile work and the needs for mobile work technology support: A task-technology fit perspective.
Zhou, T., Lu, Y., Wang, B., 2010. Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in human behavior 26(4), 760-767.
Zigurs, I., Buckland, B.K., 1998. A theory of task/technology fit and group support systems effectiveness. MIS quarterly, 313-334.
Zigurs, I., Buckland, B.K., Connolly, J.R., Wilson, E.V., 1999. A test of task-technology fit theory for group support systems. ACM SIGMIS Database: the DATABASE for Adva
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