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Quality & Quantity
Published in: Quality & Quantity 6/2016

26-10-2015

Willingness of members to participate in professional virtual communities

Authors: Alireza Tamjidyamcholo, Sameer Kumar, Ainin Sulaiman, Rahmatollah Gholipour

Published in: Quality & Quantity | Issue 6/2016

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Abstract

Many professional virtual communities (PVCs) have been unsuccessful due to the low willingness of members to participate in the communities. Thus, there is a need to understand what persuades individuals to participate in PVC activities. This paper develops an explorative model using the TAM as a foundation to examine the important determinants affecting the use of PVCs with the participation of one hundred and forty professionals from ResearchGate. Confirmatory factor analysis and structural equation modelling are used to evaluate the research model and analyze the data. The results show that the research model fits the data well and the structural model affirms that attitude significantly affects the intentional behavior of users. Perceived ease of use has a positive effect on attitude and perceived usefulness of users. Although perceived usefulness has a significant impact on the participants’ attitude, it does not directly influence the intentional behavior of PVC users. Perceived security as a formative construct, complexity, and Internet self-efficacy are proven to be important drivers of perceived ease of use in PVCs. Moreover, the study results indicate that knowledge growth and collaboration have a positive and strong effect on the perceived usefulness of participants.
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Literature
Ajzen, I.: From Intentions to Actions: A Theory of Planned Behavior. Springer, Heidelberg (1985)
Badri, M., Al Rashedi, A., Yang, G., Mohaidat, J., Al Hammadi, A.: Students’ intention to take online courses in high school: a structural equation model of causality and determinants. Educ. Inf. Technol. 1–27 (2014)
Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84(2), 191 (1977)CrossRef
Bandura, A.: Self-efficacy mechanism in human agency. Am. Psychol. 37(2), 122 (1982)CrossRef
Baron, R.M., Kenny, D.A.: The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical consideration. J. Pers. Soc. Psychol. 51(6), 1173 (1986)CrossRef
Bock, G.-W., Kankanhalli, A., Sharma, S.: Are norms enough? The role of collaborative norms in promoting organizational knowledge seeking. Eur. J. Inf. Syst. 15(4), 357–367 (2006)CrossRef
Boyd, J.: In community we trust: online security communication at eBay. J. Comput. Mediat. Commun. 7(3) (2002)
Cabrera, E.F., Cabrera, A.: Fostering knowledge sharing through people management practices. Int. J. Hum. Resour. Manag. 16(5), 720–735 (2005)CrossRef
Callahan, K.: Citizen participation: models and methods. Int. J. Public Adm. 30(11), 1179–1196 (2007)CrossRef
Chan, C.K., Chan, Y.-Y.: Students’ views of collaboration and online participation in Knowledge Forum. Comput. Educ. 57(1), 1445–1457 (2011)CrossRef
Chang, M.K., Cheung, W.: Determinants of the intention to use Internet/WWW at work: a confirmatory study. Inf. Manag. 39(1), 1–14 (2001)CrossRef
Chen, C.-J., Hung, S.-W.: To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Inf. Manag. 47(4), 226–236 (2010)CrossRef
Chen, H.-R., Tseng, H.-F.: Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. Eval. Progr. Plan. 35(3), 398–406 (2012)CrossRef
Chen, I.Y.: The factors influencing members’ continuance intentions in professional virtual communities—a longitudinal study. J. Inf. Sci. 33, 451 (2007)CrossRef
Chen, G.L., Yang, S.C., Tang, S.M.: Sense of virtual community and knowledge contribution in a P3 virtual community: motivation and experience. Internet Res. 23(1), 4–26 (2013)CrossRef
Cheung, W., Chang, M.K., Lai, V.S.: Prediction of Internet and world wide web usage at work: a test of an extended Triandis model. Decis. Support Syst. 30(1), 83–100 (2000)CrossRef
Chin, W.W., Marcolin, B.L., Newsted, P.R.: A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inf. Syst. Res. 14(2), 189–217 (2003)CrossRef
Chin, W.W., Newsted, P.R.: Structural equation modeling analysis with small samples using partial least squares. Stat. Strateg. Small Sample Res. 1(1), 307–341 (1999)
Chung, J.E., Park, N., Wang, H., Fulk, J., McLaughlin, M.: Age differences in perceptions of online community participation among non-users: an extension of the Technology Acceptance Model. Comput. Hum. Behav. 26(6), 1674–1684 (2010)CrossRef
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)CrossRef
Davis Jr, F. D.: A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology (1986)
Eryilmaz, E., van der Pol, J., Ryan, T., Clark, P.M., Mary, J.: Enhancing student knowledge acquisition from online learning conversations. Int. J. Comput. Support. Collab. Learn. 8(1), 113–144 (2013)CrossRef
Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18, 39–50 (1981)CrossRef
Haas, M.R., Hansen, M.T.: Different knowledge, different benefits: toward a productivity perspective on knowledge sharing in organizations. Strateg. Manag. J. 28(11), 1133–1153 (2007)CrossRef
Hair, J.F., Tatham, R.L., Anderson, R.E., Black, W.: Multivariate Data Analysis, vol. 6. Pearson Prentice Hall, Upper Saddle River (2006)
Halatchliyski, I., Moskaliuk, J., Kimmerle, J., Cress, U.: Explaining authors’ contribution to pivotal artifacts during mass collaboration in the Wikipedia’s knowledge base. Int. J. Comput. Support. Collab. Learn. 9(1), 97–115 (2014)CrossRef
Hasan, B.: Examining the effects of computer self-efficacy and system complexity on technology acceptance. Inf. Resour. Manag. J. (IRMJ) 20(3), 76–88 (2007)CrossRef
He, W., Wei, K.-K.: What drives continued knowledge sharing? An investigation of knowledge-contribution and-seeking beliefs. Decis. Support Syst. 46(4), 826–838 (2009)CrossRef
Henseler, J., Sarstedt, M.: Goodness-of-fit indices for partial least squares path modeling. Comput. Stat. 16, 1–16 (2013)
Hong, J.-C., Hwang, M.-Y., Hsu, H.-F., Wong, W.-T., Chen, M.-Y.: Applying the technology acceptance model in a study of the factors affecting usage of the Taiwan digital archives system. Comput. Educ. 57(3), 2086–2094 (2011)CrossRef
Hung, C.-J., Shieh, C.-J., Yeh, S.-P.: Effects of interaction in teacher professional community on teachers’ innovational instruction. Anthropologist 17(3), 735–741 (2014)
Hung, S.-W., Cheng, M.-J.: Are you ready for knowledge sharing? An empirical study of virtual communities. Comput. Educ. 62, 8–17 (2013)CrossRef
Igbaria, M., Iivari, J., Maragahh, H.: Why do individuals use computer technology? A Finnish case study. Inf. Manag. 29(5), 227–238 (1995)CrossRef
Jeon, S.-H., Kim, Y.-G., Koh, J.: Individual, social, and organizational contexts for active knowledge sharing in communities of practice. Expert Syst. Appl. 38(10), 12423–12431 (2011)CrossRef
Joo, J., Sang, Y.: Exploring Koreans’ smartphone usage: an integrated model of the technology acceptance model and uses and gratifications theory. Comput. Hum. Behav. 29(6), 2512–2518 (2013)CrossRef
King, W.R., He, J.: A meta-analysis of the technology acceptance model. Inf. Manag. 43(6), 740–755 (2006)CrossRef
Koh, E., Lim, J.: Using online collaboration applications for group assignments: the interplay between design and human characteristics. Comput. Educ. 59(2), 481–496 (2012)CrossRef
Ku, H.-Y., Tseng, H.W., Akarasriworn, C.: Collaboration factors, teamwork satisfaction, and student attitudes toward online collaborative learning. Comput. Hum. Behav. 29(3), 922–929 (2013)CrossRef
Ku, E.C.: Beyond price: how does trust encourage online group’s buying intention? Internet Res. 22(5), 569–590 (2012)CrossRef
Lantz-Andersson, A., Vigmo, S., Bowen, R.: Crossing boundaries in Facebook: students’ framing of language learning activities as extended spaces. Int. J. Comput. Support. Collab. Learn. 8(3), 293–312 (2013)CrossRef
Lederer, A.L., Maupin, D.J., Sena, M.P., Zhuang, Y.: The technology acceptance model and the World Wide Web. Decis. Support Syst. 29(3), 269–282 (2000)CrossRef
Ifinedo, P.: Internet/e-business technologies acceptance in Canada’s SMEs: an exploratory investigation. Internet Res. 21(3), 255–281 (2011)CrossRef
Liang, J.-C., Tsai, C.-C.: Internet self-efficacy and preferences toward constructivist internet-based learning environments: a study of pre-school teachers in Taiwan. Educ. Technol. Soc. 11(1), 226–237 (2008)
Lin, F.-R., Lin, S.-C., Huang, T.-P.: Knowledge sharing and creation in a teachers’ professional virtual community. Comput. Educ. 50(3), 742–756 (2008)CrossRef
Lin, Y.-C., Liang, J.-C., Yang, C.-J., Tsai, C.-C.: Exploring middle-aged and older adults’ sources of Internet self-efficacy: a case study. Comput. Hum. Behav. 29(6), 2733–2743 (2013)CrossRef
Lu, J., Yu, C.S., Liu, C., Yao, J.E.: Technology acceptance model for wireless internet. Internet Res. 13(3), 206–222 (2003)CrossRef
McNerney, J., Farmer, J. D., Redner, S, Trancik, J. E.: The role of design complexity in technology improvement arXiv preprint arXiv:​0907.​0036 (2009)
Nistor, N., Baltes, B., Dascălu, M., Mihăilă, D., Smeaton, G., Trăuşan-Matu, Ş.: Participation in virtual academic communities of practice under the influence of technology acceptance and community factors. A learning analytics application. Comput. Hum. Behav. 34, 339–344 (2014)CrossRef
Ortega, J.L., Aguillo, I.F.: Institutional and country collaboration in an online service of scientific profiles: google scholar citations. J. Informetr. 7(2), 394–403 (2013)CrossRef
Park, E., Kim, K.J.: An integrated adoption model of mobile cloud services: exploration of key determinants and extension of technology acceptance model. Telemat. Inform. 31(3), 376–385 (2014)CrossRef
Petter, S., Straub, D., Rai, A.: Specifying formative constructs in information systems research. Mis Q. 31, 623–656 (2007)
Pynoo, B., Tondeur, J., Van Braak, J., Duyck, W., Sijnave, B., Duyck, P.: Teachers’ acceptance and use of an educational portal. Comput. Educ. 58(4), 1308–1317 (2012)CrossRef
Ratten, V.: Cloud computing: a social cognitive perspective of ethics, entrepreneurship, technology marketing, computer self-efficacy and outcome expectancy on behavioural intentions. Australas. Mark. J. (AMJ) 21(3), 137–146 (2013)CrossRef
Saadé, R., Bahli, B.: The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Inf. Manag. 42(2), 317–327 (2005)CrossRef
Safa, N.S., Sookhak, M., Von Solms, R., Furnell, S., Ghani, N.A., Herawan, T.: Information security conscious care behaviour formation in organizations. Comput. Secur. 58, 65–78 (2015)CrossRef
Schwartz, D: Revolution and evolution of online communities. Internet Res. 17(2) (2007)
Shin, D.-H.: The effects of trust, security and privacy in social networking: a security-based approach to understand the pattern of adoption. Interact. Comput. 22(5), 428–438 (2010)CrossRef
Shen, C.C., Chiou, J.S.: The effect of community identification on attitude and intention toward a blogging community. Internet Res. 19(4), 393–407 (2009)CrossRef
Silvia, R.-D., Iryna, B.: The influence of online communication and web-based collaboration environments on group collaboration and performance. Proc. Soc. Behav. Sci. 46, 935–943 (2012)CrossRef
Tamjidyamcholo, A., Bin Baba, M.S., Shuib, N.L.M., Rohani, V.A.: Evaluation model for knowledge sharing in information security professional virtual community. Comput. Secur. 43, 19–34 (2014)CrossRef
Tamjidyamcholo, A., Bin Baba, M.S., Tamjid, H., Gholipour, R.: Information security–professional perceptions of knowledge-sharing intention under self-efficacy, trust, reciprocity, and shared-language. Comput. Educ. 68, 223–232 (2013)CrossRef
Teo, T.S., Lim, V.K., Lai, R.Y.: Intrinsic and extrinsic motivation in Internet usage. Omega 27(1), 25–37 (1999)CrossRef
Thompson, R.L., Higgins, C.A., Howell, J.M.: Personal computing: toward a conceptual model of utilization. Mis Q. 15, 125–143 (1991)CrossRef
Tsai, C.-C.: The development of epistemic relativism versus social relativism via online peer assessment, and their relations with epistemological beliefs and internet self-efficacy. Educ. Technol. Soc. 15(2), 309–316 (2012)
Tsai, M.-J., Tsai, C.-C.: Information searching strategies in web-based science learning: the role of Internet self-efficacy. Innov. Educ. Teach. Int. 40(1), 43–50 (2003)CrossRef
Tsai, M.-J., Tsai, C.-C.: Junior high school students’ Internet usage and self-efficacy: a re-examination of the gender gap. Comput. Educ. 54(4), 1182–1192 (2010)CrossRef
Tseng, F.-C., Kuo, F.-Y.: A study of social participation and knowledge sharing in the teachers’ online professional community of practice. Comput. Educ. 72, 37–47 (2014)CrossRef
Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)CrossRef
Venkatesh, V., Davis, F.D.: A model of the antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996)CrossRef
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)CrossRef
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. Mis Q. 27, 425–478 (2003)
Wagner, C., Liu, L., Schneider, C., Prasarnphanich, P and Chen, H.: Creating a Successful Professional Virtual Community: A Sustainable Digital Ecosystem for Idea Sharing. In: Digital Ecosystems and Technologies. DEST’09, pp. 163–167 (2009)
Wallace, L.G., Sheetz, S.D.: The adoption of software measures: a technology acceptance model (TAM) perspective. Inf. Manag. 51(2), 249–259 (2014)CrossRef
Wang, E.S.T., Chen, L.S.L., Tsai, B.K.: Investigating member commitment to virtual communities using an integrated perspective. Internet Res. 22(2), 199–210 (2012)CrossRef
Wu, C.-S., Cheng, F.-F., Yen, D.C., Huang, Y.-W.: User acceptance of wireless technology in organizations: a comparison of alternative models. Comput. Stand. Interfaces 33(1), 50–58 (2011)CrossRef
Wu, J.-H., Wang, S.-C.: What drives mobile commerce?: an empirical evaluation of the revised technology acceptance model. Inf. Manag. 42(5), 719–729 (2005)CrossRef
Wu, W.-W.: Developing an explorative model for SaaS adoption. Expert Syst. Appl. 38(12), 15057–15064 (2011)CrossRef
Zeldin, A.L., Britner, S.L., Pajares, F.: A comparative study of the self-efficacy beliefs of successful men and women in mathematics, science, and technology careers. J. Res. Sci. Teach. 45(9), 1036–1058 (2008)CrossRef
Metadata
Title
Willingness of members to participate in professional virtual communities
Authors
Alireza Tamjidyamcholo
Sameer Kumar
Ainin Sulaiman
Rahmatollah Gholipour
Publication date
26-10-2015
Publisher
Springer Netherlands
Published in
Quality & Quantity / Issue 6/2016
Print ISSN: 0033-5177
Electronic ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-015-0274-1

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