Using a Multi-Criteria Decision Making Approach for Assessing the Factors Affecting Social Network Sites Intention to Use
Since the emergence of the first Social Networking Site (SNS) as a new means of communicating with other people, much research has attempted to identify empirically and theoretically the characteristics, history, and impact on human relationships of both Social Networking Sites and their users. Users’ reasons for joining to Social Networking Sites is one of the research gap in the users’ behaviour studies that their focus are on users’ participations in Social Networking Site . This research aims to explore the factors that affect the intention to use in Social Networking Sites. Thus, our work aims to contribute to the literature by investigating the influential factors that cause the users adopt a SNS. Accordingly, we apply a Multi-Criteria Decision Making (MCDM) approach, fuzzy AHP, to evaluate the influential factors that cause the users adopt a SNS. Our findings show that the important factors influencing SNS users’ intention for general purpose are Trust, Security and Performance expectancy.
Ada, S., Rao, H. R., & Sharman, R. (2010). Online Social Networking Site (SNS) Use at the Campus Emergencies. In ICIS (p. 203).
Aharony, N. (2013). Factors affecting the adoption of Facebook by information professionals. Proceedings of the American Society for Information Science and Technology, 50(1), 1-10.
Ahmadi, H., Nilashi, M., & Ibrahim, O. (2015). Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals. International Journal of Medical Informatics.
Ahmadi, H., Rad, M. S., Almaee, A., Nilashi, M., Ibrahim, O., Dahlan, H. M., & Zakaria, R. (2014). Ranking the Macro-Level Critical Success Factors of Electronic Medical Record Adoption Using Fuzzy AHP Method. International Journal of Innovation and Scientific Research, 8(1), 35-42.
Ahmadi, H., Rad, M. S., Nazari, M., Nilashi, M., & Ibrahim, O. (2014). Evaluating the factors affecting the implementation of hospital information system (HIS) using AHP method. Life Science Journal, 11(3).
Alarcón-del-Amo, M.-C., Lorenzo-Romero, C., & Del Chiappa, G. (2013). Adoption of social networking sites by Italian. Information Systems and E-Business Management, 12(2), 165–187.
Al-Debei, M. M., Al-Lozi, E., & Papazafeiropoulou, A. (2013). Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems, 55(1), 43–54.
Al-Ghaith, W., Sanzogni, L., & Sandhu, K. (2010). Factors influencing the adoption and usage of online services in Saudi Arabia. The Electronic Journal on Information Systems in Developing Countries, 1–32.
Boyd DM, Ellison NB (2007) Social network sites: definition, history, and scholarship. J Comput Mediat Commun 13(1):210–230.
Boyd, D., 2008a. Facebook’s privacy trainwreck: exposure, invasion, and social convergence. Convergence 14 (1), 13–20.
Boyd, D., 2008b. Facebook’s privacy trainwreck. Convergence 14 (1), 13–20.
Buckley, J.J., 1985. Fuzzy hierarchical analysis. Fuzzy Sets and Systems 17, 233±247.
Bullinger, A., Renken, U., & Moeslein, K. (2011). Understanding online collaboration technology adoption by researchers–a model and empirical study, 1–11.
Cao, X., Cai, Z., & Zhang, X. (2014). Understanding user’s sustained participation in social research network sites.
Chang, D.Y. (1996) ‘Applications of the extent analysis method on fuzzy AHP’, European Journal of Operational Research, Vol. 95, No. 3, pp.649–655.
Chang, Y. P., & Zhu, D. H. (2011). Understanding social networking sites adoption in China: A comparison of pre-adoption and post-adoption. Computers in Human Behavior, 27(5), 1840–1848.
Chang, Y. P., & Zhu, D. H. (2012). The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China. Computers in Human Behavior, 28(3), 995–1001.
Chen, R. (2013). Member use of social networking sites — an empirical examination. Decision Support Systems, 54(3), 1219–1227.
Cheung, C. M. K., & Lee, M. K. O. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49(1), 24–30.
Cheung, C. M. K., Chiu, P.-Y., & Lee, M. K. O. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27(4), 1337–1343.
Choi, G., & Chung, H. (2013). Applying the Technology Acceptance Model to Social Networking Sites (SNS): Impact of Subjective Norm and Social Capital on the Acceptance of SNS. International Journal of Human-Computer Interaction, 29(10), 619–628.
Choi, J., Jung, J., & Lee, S.-W. (2013). What causes users to switch from a local to a global social network site? The cultural, social, economic, and motivational factors of Facebook’s globalization. Computers in Human Behavior, 29(6), 2665–2673.
Constantinides E, Lorenzo C, Go´mez-Borja MA (2008) Social media: a new frontier for retailers? Eur Retail Res 22:1–27.
Donaldson, O., & Duggan, E. (2011). Examining SNS Adoption through Motivational Lens.
Dong, T.-P., Cheng, N.-C., & Wu, Y.-C. J. (2014). A study of the social networking website service in digital content industries: The Facebook case in Taiwan. Computers in Human Behavior, 30, 708–714.
Dumlao, J., & Ha, S. (2013). Motivational and Social Capital Factors Influencing the Success of Social Network Sites: Twitter Case, 1–6.
El-Haddadeh, R., Weerakkody, V., & Peng, J. (2012). Social networking services adoption in corporate communication: the case of China. Journal of Enterprise Information Management, 25(6), 559–575.
Ellison, N., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook ‘‘friends”: Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12, 1143–1168.
Ernst, C., Pfeiffer, J., & Rothlauf, F. (2013). The Influence of Perceived Belonging on Social Network Site Adoption, 1–10.
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88.
Garton, L., Haythornthwaite, C., & Wellman, B. (1997). Studying online social networks, Journal of Computer-Mediated Communication, 3(1). Available from www.ascusc.org/jcmc/vol3/issue1/garton.html.
Glass, R. (2013). Adoption of Social Networking Technologies in the Workplace.
Huang, L.-Y., Hsieh, Y.-J., & Wu, Y.-C. J. (2014). Gratifications and social network service usage: The mediating role of online experience. Information & Management, 51(6), 774–782.
Ibrahim, O., Nilashi, M., Bagherifard, K., Hashem, N., Janahmadi, N., & Barisami, M. (2011). Application of AHP and K-Means Clustering for Ranking and Classifying Customer Trust in M-commerce. Australian Journal of Basic & Applied Sciences, 5(12).
Jairak, R., Sahakhunchai, N., Jairak, K., & Praneetpolgrang, P. (2010). Factors affecting intention to use in social networking sites: an empirical study on Thai society. In Advances in Information Technology (pp. 43-52). Springer Berlin Heidelberg.
Jiang, X. (2011). Privacy concern toward using social networking services: A conceptual model. 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 3180–3183.
Kaba, B., & Touré, B. (2014). Understanding information and communication technology behavioral intention to use: Applying the UTAUT model to social networking site adoption by young people. Journal of the Association for Information Science and Technology, 65(8), 1662–1674.
Kang, Y. S., Hong, S., & Lee, H. (2009). Exploring continued online service usage behavior: The roles of self-image congruity and regret. Computers in Human Behavior, 25(1), 111–122.
Kempe, D., Kleinberg, J., & Tardos, E. (2003). Research track: Maximizing the spread of influence through a social network. In Proceedings of the 9th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 137–146). New York, NY: ACM Press.
Kim, Y., Sohn, D., & Choi, S. M. (2011). Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students. Computers in Human Behavior, 27(1), 365–372.
Kolbitsch J, Maurer H (2006) The transformation of the Web: how emerging communities shape the information we consume. J Univ Comput Sci 2(12):187–213.
Ku, Y.-C., Chen, R., & Zhang, H. (2013). Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan. Information & Management, 50(7), 571–581.
Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254–263.
Kwon, S. J., Park, E., & Kim, K. J. (2014). What drives successful social networking services? A comparative analysis of user acceptance of Facebook and Twitter. The Social Science Journal, 1–11.
Lallmahomed, M. Z. I., Ab.Rahim, N. Z., Ibrahim, R., & Rahman, A. A. (2013). Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook). Computers in Human Behavior, 29(6), 2776–2787.
Lankton, N. K., McKnight, D. H., & Thatcher, J. B. (2012). The Moderating Effects of Privacy Restrictiveness and Experience on Trusting Beliefs and Habit: An Empirical Test of Intention to Continue Using a Social Networking Website. IEEE Transactions on Engineering Management, 59(4), 654–665.
Leng, G. S., Lada, S., Muhammad, M. Z., Ibrahim, A. A. H. A., & Amboala, T. (2011). An Exploration of Social Networking Sites (SNS) Adoption in Malaysia Using Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB) and Intrinsic Motivation, 16(2).
Li, D. C. (2011). Online social network acceptance: a social perspective. Internet Research, 21(5), 562–580.
Lin, H., Fan, W., & Chau, P. Y. K. (2014). Determinants of users’ continuance of social networking sites: A self-regulation perspective. Information & Management, 51(5), 595–603.
Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161.
Lin, T. T. C., Chiu, V. C. H., & Lim, W. (2011). Factors affecting the adoption of social network sites: examining four adopter categories of Singapore’s working adults. Asian Journal of Communication, 21(3), 221–242.
Lin, X., Zhang, D., & Li, Y. (2014). The dimensions of online social support on social networking sites and their effects.
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.
Maier, C., Laumer, S., & Eckhardt, A. (2011). Technology Adoption by Elderly People – An Empirical Analysis of Adopters and Non-Adopters of Social Networking Sites, 901–911.
Miller, R., Parsons, K., & Lifer, D. (2010). Students and social networking sites: the posting paradox. Behaviour & Information Technology, 29(4), 377–382.
Nasri, W. (2012). An Exploration of Facebook . Com Adoption in Tunisia Using Technology Acceptance Model ( TAM ) and Theory of Reasoned Action ( TRA ), 948–968.
Nilashi, M., Bagherifard, K., Ibrahim, O., Janahmadi, N., & Barisami, M. (2011a). An Application Expert System for Evaluating Effective Factors on Trust in B2C Websites. Engineering, 3(11).
Nilashi, M., Fathian, M., Gholamian, M. R., bin Ibrahim, O., Talebi, A., & Ithnin, N. (2011c). A comparative study of adaptive neuro fuzzy inferences system (ANFIS) and fuzzy inference system (FIS) approach for trust in B2C electronic commerce websites. JCIT, 6(9), 25-43.
Nilashi, M., Ibrahim, O., Barisami, M., Janahmadi, N., & Ithnin, N. (2011b). Developing a Framework for Exploring Factors Affecting on Trust in M-Commerce using Analytic Hierarchy Process. Computer Engineering and Intelligent Systems, 2(8), 59-70.
O’Murchu, I., Breslin, J.G., & Decker, S. (2004). Online social and business networking communities, DERI Technical Report 2004-08-11, SIGKDD’03. Washington, DC.
Osorio, C., & Papagiannidis, S. (2014). Main Factors for Joining New Social Networking Sites. In HCI in Business (pp. 221-232). Springer International Publishing.
Pai, P., & Arnott, D. C. (2013). User adoption of social networking sites: Eliciting uses and gratifications through a means–end approach. Computers in Human Behavior, 29(3), 1039–1053.
Pan, Y., Chen, X., Cai, S., & Dong, Y. (2014). Understanding social network sites continuance intention from a self-disclosure and social capital perspective.
Pinho, J. C. M. R., & Soares, A. M. (2011). Examining the technology acceptance model in the adoption of social networks. Journal of Research in Interactive Marketing, 5(2/3), 116–129.
Pornsakulvanich, V., & Dumrongsiri, N. (2013). Internal and external influences on social networking site usage in Thailand. Computers in Human Behavior, 29(6), 2788–2795.
Qin, L., Kim, Y., Hsu, J., & Tan, X. (2011). The Effects of Social Influence on User Acceptance of Online Social Networks. International Journal of Human-Computer Interaction, 27(9), 885–899.
Raisian, K., Minouei, A., Khosravi, A., Hashemi, A., Nilashi, M., Ibrahim, O., ... & Nazari, M. (2014). Multi-Criteria Approach for Customer Trust Model in Internet Banking: A Case of UTM CIBM Bank. Life Science Journal, 11(6).
Rau, P. P., Gao, Q., & Ding, Y. (2008). Relationship between the level of intimacy and lurking in online social network services. Computers in Human Behavior, 24(6), 2757–2770.
Saaty, T.L., 1980. The analytic hierarchy process, McGraw- Hill, New York.
Saaty, T.L., 1994. Homogeneity and clustering in AHP ensures the validity of the scale. European Journal of Operational Research 72, 598-601.
Sabir, R. I., Ahmad, W., & Noor, N. (2013). Adoption of Social Networking Sites among Pakistani University Students : A Case of, 3(6), 125–139.
Saeed, N., & Sinnappan, S. (2011). Adoption of Twitter in higher education–a pilot study. In Ascillate conference proceedings, 1115–1120.
Shi, N., Lee, M. K. O., Cheung, C. M. K., & Chen, H. (2010). The Continuance of Online Social Networks: How to Keep People Using Facebook? 2010 43rd Hawaii International Conference on System Sciences, 1–10.
Shin, D.-H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428–438.
Shin, S., & Hall, D. (2011). Identifying factors affecting SNS users as a temporary or persistent user: an empirical study.
Singh, J., Tiruchirappalli, I., & Chandwani, R. (2014). Adoption of web 2.0 technologies among knowledge workers: a theoretical integaration of knowledge sharing and seeking.
Steinfield, C., Ellison, N. B., & Lampe, C. (2008). Social capital, self-esteem, and use of online social network sites: A longitudinal analysis. Journal of Applied Developmental Psychology, 29(6), 434–445.
Tan, X., Qin, L., Kim, Y., & Hsu, J. (2012). Impact of privacy concern in social networking web sites. Internet Research, 22(2), 211–233.
Ünal, A. T. (2013). A comparative study of social network usage and adoption among Turkish Osman Köroğlu, 3(4), 24–42.
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. 2003. “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly (27:3), September, pp. 425-478.
Wang, D., Xu, L., & Chan, H. C. (2014). Understanding the continuance use of social network sites: a computer self-efficacy perspective. Behaviour & Information Technology, (October), 1–13.
Xu, C., Ryan, S., Prybutok, V., & Wen, C. (2012). It is not for fun: An examination of social network site usage. Information & Management, 49(5), 210–217.
Yen, Y.-S. (2013). The relationship among social influence, perceived value, and usage intention in social networking sites. 2013 3rd International Conference on Consumer Electronics, Communications and Networks, 699–702.
Yu, J., Zo, H., Kee Choi, M., & P. Ciganek, A. (2013). User acceptance of location-based social networking services. Online Information Review, 37(5), 711–730.
Zeng, Z., & Lu, Q. (2012). Understanding Individual Adoption of Social Networking Services: An Empirical Investigation. Ipcsit.com, 52(Icime 2011).
Zhang, Z. (2010). Feeling the sense of community in social networking usage. Engineering Management, IEEE Transactions on, 57(2), 225–239.
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