Abstract
Social media have become very popular. The number of social media users, and the number of interactions among them, is huge. The social media environment plays host to a range of activities, including the exchange of photos and video media, the exchange of ideas and comments, and the building of personal and career networks. Accordingly, the social media environment also serves as a useful supplement to informal learning outside the classroom for both full-time students and adult learners. It is thus crucial that educators understand the determinants of online knowledge sharing. In this study, an existing model framework is adapted to explore the motivational factors that drive knowledge sharing among individuals in the social media environment, particularly to determine whether there are any attachment style differences in online knowledge sharing. The hypothesized relationships between the motivational factors identified and online knowledge sharing behavior are then tested using a survey questionnaire administered to 3,590 post-secondary students applying to a local university. The results indicate that perceived attachment motivation (the need to form a relationship) and perceived relationship commitment (the need to maintain a relationship) are important determinants of online knowledge sharing. Further analysis of attachment styles reveals that high attachment-style individuals rate the need to form relationships more highly than their low attachment-style counterparts. However, the results are the reverse for the need to maintain a relationship. The implications for the encouragement of knowledge sharing behavior in the social media environment are discussed.
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References
Selwyn, N.: The use of computer technology in university teaching and learning: A critical perspective. Journal of Computer Assisted Learning 23(2), 83–94 (2007)
http://www.facebook.com/press/info.php?statistics (accessed November 18, 2011)
http://www.apa.org/news/press/releases/2011/08/social-kids.aspx
Ma, W.W.K., Yuen, A.H.K.: Understanding Online Knowledge Sharing: An Interpersonal Relationship Perspective. Computers & Education 56(1), 210–219 (2011)
Ma, W.W.K.: Online knowledge sharing. In: Yan, Z. (ed.) Encyclopedia of Cyber Behavior, pp. 394–402. Information Science Publishing (2012)
Hiltz, S.R., Coppola, N., Rotter, N., Turoff, M., Benbunan-Fich, R.: Measuring the importance of collaborative learning for the effectiveness of ALN: A multi-measure, multi-method approach. Journal of Asynchronous Learning Networks 4(2) (2000)
Moreno, L., Gonzalez, C., Castilla, I., Gonzalez, E., Sigut, J.: Applying a constructivist and collaborative methodological approach in engineering education. Computers & Education 49(3), 891–915 (2007)
Zhang, J., Scardamalia, M., Lamon, M., Messina, R., Reeve, R.: Socio-cognitive dynamics of knowledge building in the work of 9- and 10-years-olds. Educational Technology Research and Development 55(2), 117–145 (2007)
Moller, L.: Designing communities of learners for asynchronous distance education. Educational Technology, Research and Development 46(4), 115–122 (1998)
Thurston, A.: Building online learning communities. Technology, Pedagogy and Education 14(3), 353–369 (2005)
Rovai, A.P., Wighting, M.J.: Feelings of alienation and community among higher education students in a virtual classroom. The Internet and Higher Education 8(2), 97–110 (2005)
Ma, W.W.K.: Understanding online knowledge sharing: An interpersonal relationship perspective. Doctoral Dissertation, Faculty of Education. The University of Hong Kong (2009)
Ma, W.W.K., Yuen, A.H.K.: Understanding Online Knowledge Sharing: An Exploratory Theoretical Framework. In: Tsang, P., Cheung, S.K.S., Lee, V.S.K., Huang, R. (eds.) ICHL 2010. LNCS, vol. 6248, pp. 239–248. Springer, Heidelberg (2010)
Ma, W.W.K., Yuen, A.H.K.: Gender Differences of Knowledge Sharing in Online Learning Environment. In: Kwan, R., Fong, J., Kwok, L.-f., Lam, J. (eds.) ICHL 2011. LNCS, vol. 6837, pp. 116–128. Springer, Heidelberg (2011)
Tajfel, H., Billig, M.G., Bundy, R.F., Flament, C.: Social categorization and intergroup behaviour. European Journal of Social Psychology 1(2), 149–178 (1971)
Smith, A., Williams, K.D.: R U there? Ostracism by cell phone text messages. Group Dynamics: Theory, Research, & Practice 8(4), 291–301 (2004)
Williams, K.D., Cheung, C.K.T., Choi, W.: Cyberostracism: Effects of being ignored over the Internet. Journal of Personality & Social Psychology 79(5), 748–762 (2000)
Löfström, E., Nevgi, A.: From strategic planning to meaningful learning: Diverse perspectives on the development of web-based teaching and learning in higher education. British Journal of Educational Technology 38(2), 312–324 (2007)
Levett-Jones, T., Lathlean, J., Higgins, I., McMillan, M.: Staff - student relationships and their impact on nursing students’ belongingness and learning. Journal of Advanced Nursing 65(2), 316–324 (2009)
Furrer, C., Skinner, E.: Sense of relatedness as a factor in children’s academic engagement and performance. Journal of Educational Psychology 95(1), 148–162 (2003)
Rusbult, C.E., Farrell, D.: A longitudinal test of the investment model: The impact on job satisfaction, job commitment, and turnover of variations in rewards, costs, alternatives, and investments. Journal of Applied Psychology 68(3), 429 (1983)
Rusbult, C.E.: Commitment in close relationships: The investment model. In: Peplau, L.A., Sears, D.O., Taylor, S.E., Freedman, J.L. (eds.) Readings in Social Psychology: Classic and Contemporary Contributions, pp. 147–157. Prentice-Hall (1988)
Rusbult, C.E., Martz, J.M., Agnew, C.R.: The investment model scale: Measuring commitment level, satisfaction level, quality of alternatives, and investment size. Personal Relationships 5(4), 357–391 (1998)
Baumeister, R.F., Leary, M.R.: The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin 117(3), 497–529 (1995)
Bartholomew, K., Horowitz, L.M.: Attachment styles among young adults: A test of a four-category model. Journal of Personality & Social Psychology 61(2), 226–244 (1991)
Hair, J.F., Black, B., Babin, B., Anderson, R.E., Tatham, R.L.: Multivariate Data Analysis, 6th edn. Pearson Prentice Hall (2006)
McMillan, J.H., Schmacher, S.: Research in education: A conceptual introduction, 2nd edn. Harper Collins Publishers (1989)
Nunnally, J.C., Bernstein, I.H.: Psychometric Theory. McGraw-Hill (1994)
Jöreskog, K.G., Sörbom, D.: LISREL 8: Structural equation modeling with the SIMPLIS command language. Lawrence Erlbaum Associates (1993)
Hazan, C., Shaver, P.R.: Romantic love conceptualized as an attachment process. Journal of Personality and Social Psychology 52(3), 511–524 (1987)
Ko, D.-G., Kirsch, L.J., King, W.R.: Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. MIS Quarterly 29(1), 59 (2005)
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Ma, W.W.K., Sun, K., Ma, J. (2012). The Influence of Attachment Styles on Knowledge Sharing in Social Media Environments. In: Cheung, S.K.S., Fong, J., Kwok, LF., Li, K., Kwan, R. (eds) Hybrid Learning. ICHL 2012. Lecture Notes in Computer Science, vol 7411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32018-7_22
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