Abstract
The popularity of Social Networking Sites (SNS) such as Facebook or Twitter, along with their potential as marketing tools, is drawing the attention of entrepreneurs and developers to create their own SNS. Research about SNS users’ behaviour is focused on users’ participation, leaving a gap in relation to users’ reasons for joining a new SNS. Thus, our work aims to contribute to the literature by investigating the main motivations that a SNS user has for joining a new SNS. Following the framework of the decomposed theory of planned behaviour (DTPB), a two-step structural equation model was implemented in order to answer the research question. Findings made it possible to explain 55% of the intention to join a new SNS. In order to explain the intention, the attitude towards the new network plays a key role, which in turn is directly influenced by perceived usefulness. Our findings invite SNS practitioners working on creating new social media websites or services to pay special attention to how to portray the new SNS in order to be appealing for the users. On the theoretical implications, the proposed model confirmed the need to include additional variables to the TPB in order to gain a better understanding of the phenomena studied.
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Coursaris, C.K., Van Osch, W., Sung, J., Yun, Y.: Disentangling Twitter’s Adoption and Use (Dis) Continuance: A Theoretical and Empirical Amalgamation of Uses and Gratifications and Diffusion of Innovations. AIS Transactions on Human-Computer Interaction 5, 57–83 (2013)
Coursaris, C.K., Yun, Y., Sung, J.: Twitter Users vs. Quitters: A Uses and Gratifications and Diffusion of Innovations approach in understanding the role of mobility in microblogging. In: 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), pp. 481–486. IEEE (Year)
Hargittai, E.: Whose space? Differences among users and non‐users of social network sites. Journal of Computer-Mediated Communication 13, 276–297 (2007)
Bhattacherjee, A.: Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly: Management Information Systems 25, 351–370 (2001)
Hsu, C.W.: Frame misalignment: Interpreting the implementation of information systems security certification in an organization. European Journal of Information Systems 18, 140–150 (2009)
Al-Debei, M.M., Al-Lozi, E., Papazafeiropoulou, A.: Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems (2013)
Cheung, C.M.K., Lee, M.K.O.: Understanding the sustainability of a virtual community: model development and empirical test. Journal of Information Science 35, 279–298 (2009)
Hsu, M.H., Chiu, C.M.: Predicting electronic service continuance with a decomposed theory of planned behaviour. Behav. Inform. Technol. 23, 359–373 (2004)
Hsu, T.-H., Wang, Y.-S., Wen, S.-C.: Using the decomposed theory of planning behavioural to analyse consumer behavioural intention towards mobile text message coupons. Journal of Targeting, Measurement and analysis for Marketing 14, 309–324 (2006)
Taylor, S., Todd, P.A.: Understanding Information Technology Usage - a Test of Competing Models. Information Systems Research 6, 144–176 (1995)
Armitage, C.J., Conner, M.: Efficacy of the theory of planned behaviour: A meta‐analytic review. British Journal of Social Psychology 40, 471–499 (2001)
Hung, S.Y., Chang, C.M.: User acceptance of WAP services: test of competing theories. Comput. Stand. Inter. 27, 359–370 (2005)
Huh, H.J., Kim, T., Law, R.: A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. Int. J. Hosp. Manag. 28, 121–134 (2009)
Lee, J.H., Kim, J.H., Hong, J.H.: A comparison of adoption models for new mobile media services between high-and low-motive groups. Int. J. Mob. Commun. 8, 487–506 (2010)
Ajzen, I.: The Theory of Planned Behavior. Organ. Behav. Hum. Dec. 50,179–211 (1991)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems 13, 319–339 (1989)
Taylor, S., Todd, P.: Assessing IT usage: The role of prior experience. MIS Quarterly: Management Information Systems 19, 561–568 (1995)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly 319–340 (1989)
Hsieh, J.J.P.A., Rai, A., Keil, M.: Understanding digital inequality: Comparing continued use behavioral models of the socio-economically advantaged and disadvantaged. Mis. Quart. 32, 97–126 (2008)
Bhattacherjee, A.: Acceptance of e-commerce services: The case of electronic brokerages. IEEE T. Syst. Man. Cy.A 30, 411–420 (2000)
Nor, K.M., Pearson, J.M.: An exploratory study into the adoption of internet banking in a developing country: Malaysia. Journal of Internet Commerce 7, 29–73 (2008)
Merikivi, J., Mantymaki, M.: Explaining the continuous use of social virtual worlds: An applied theory of planned behavior approach. In: 42nd Hawaii International Conference on System Sciences, HICSS 2009, pp. 1–10. IEEE (2009)
Bart, Y., Shankar, V., Sultan, F., Urban, G.L.: Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing 133–152 (2005)
Dinev, T., Bellotto, M., Hart, P., Russo, V., Serra, I., Colautti, C.: Privacy calculus model in e-commerce–a study of Italy and the United States. European Journal of Information Systems 15, 389–402 (2006)
Anderson, J.C., Gerbing, D.W.: Structural equation modeling in practice: A review and recommended two-step approach. Psychol Bull. 103, 411 (1988)
Ajzen, I.: Constructing a TPB questionnaire: Conceptual and methodological considerations (2002)
Lin, H.F.: Understanding behavioral intention to participate in virtual communities. CyberPsychology & Behavior 9, 540–547 (2006)
Peslak, A., Ceccucci, W., Sendall, P.: An empirical study of social networking behavior using theory of reasoned action. In: Proc. of CONISAR, vol. 11 (2011)
Lorenzo-Romero, C., Del Chiappa, G.: Adoption of social networking sites by Italian. Information Systems and e-Business Management, 1–23 (2013)
Field, A.P.: Discovering statistics using SPSS: (and sex and drugs and rock ’n’ roll). SAGE (2009)
Hair, J.F., Anderson, R.E.: Multivariate data analysis. Prentice Hall (2010)
Gaskin, J.: Stat tools package - Validiy master (2012), http://statwiki.kolobkreations.com
Wu, J.-J., Chen, Y.-H., Chung, Y.-S.: Trust factors influencing virtual community members: A study of transaction communities. Journal of Business Research 63, 1025–1032 (2010)
Byrne, B.M.: Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, 2nd edn. Taylor & Francis (2009)
Ajjan, H., Hartshorne, R.: Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. Internet High Educ. 11, 71–80 (2008)
Zhang, W., Gutierrez, O.: Information technology acceptance in the social services sector context: An exploration. Soc.Work 52, 221–231 (2007)
Lin, H.-F.: Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications 6, 433–442 (2008)
To, P.-L., Liao, C., Chiang, J.C., Shih, M.-L., Chang, C.-Y.: An empirical investigation of the factors affecting the adoption of Instant Messaging in organizations. Comput. Stand. Inter. 30, 148–156 (2008)
Mantymaki, M., Merikivi, J.: Uncovering the motives for the continuous use of social virtual worlds (2010)
Lee, Y.C., Hsieh, Y.F., Guo, Y.B.: Construct DTPB model by using DEMATEL: a study of a university library website. Program-Electron Lib. 47, 155–169 (2013)
Lee, J.H., Kim, J.H., Hong, J.H.: A comparison of adoption models for new mobile media services between high- and low-motive groups. Int. J. Mob. Commun. 8, 487–506 (2010)
Hong, S.J., Thong, J.Y.L., Moon, J.Y., Tam, K.Y.: Understanding the behavior of mobile data services consumers. Inform. Syst. Front. 10, 431–445 (2008)
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Osorio, C., Papagiannidis, S. (2014). Main Factors for Joining New Social Networking Sites. In: Nah, F.FH. (eds) HCI in Business. HCIB 2014. Lecture Notes in Computer Science, vol 8527. Springer, Cham. https://doi.org/10.1007/978-3-319-07293-7_22
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DOI: https://doi.org/10.1007/978-3-319-07293-7_22
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