Abstract
Central points of this paper are placed on team creativity and Bayesian network approach as an assistant means. Above all, we seek to intensify our PLS model by using Bayesian network (BN) approach as an ancillary role. Beyond managers’ control, we emphasize a voluntarily and informally emergent structure and introduce a social network perspective within team creativity. In this sense, we propose a new integrative team creativity model in which shared leadership, interpersonal trust and knowledge sharing are included and their subsequent influence on team creativity is analyzed. For the sake of empirical analysis, an e-learning course was administered in a private university, and 40 teams were organized for this study. 249 valid questionnaires were garnered, and initially analyzed by PLS (Partial least squares) model. Then, we suggested a new PLS model based on the results of Bayesian networks, and confirmed the successful application of our proposed approach.
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References
Ajzen, I., Fishbein, M.: Attitudinal and Normative Variables as Predictors of Specific Behavior. Journal of Personality and Social Psychology 27(1), 41–57 (1973)
Amabile, T.M.: A Model of Creativity and Innovation in Organizations. In: Staw, B.M., Cummings, L.L. (eds.) Research in Organizational Behavior, vol. 10, pp. 123–167. JAI Press, Greenwich (1988)
Anderson, R.D., Vastag, G.: Causal Modeling Alternatives in Operations Research: Overview and Application. European Journal of Operational Research 156(1), 92–109 (2004)
Argote, L.: Organizational learning: Creating, Retaining, and Transferring Knowledge. Kluwer Academic, Boston (1999)
Avolio, B.J., Jung, D.I., Sivasubramaniam, N.: Building Highly Developed Teams: Focusing on Shared Leadership Processes, Efficacy, Trust, and Performance. In: Beyerlein, M.M., Johnson, D.A. (eds.) Advances in Interdisciplinary Study of Work Teams: Team Leadership, vol. 3, pp. 173–209. JAI Press, Greenwich (1996)
Bidault, F., Castello, A.: Trust and Creativity: Understanding the Role of Trust in Creativity-oriented Joint Developments. R&D Management 39(3), 259–270 (2009)
Carson, J.B., Tesluk, P.E., Marrone, J.A.: Shared Leadership in Teams: An Investigation of Antecedent Conditions. Academy of Management Journal 50(5), 1217–1234 (2007)
Cerquides, J., De Mantaras, R.L.: TAN Classifiers Based on Decomposable Distributions. Machine Learning 59, 323–354 (2005)
Chen, M.H., Chang, Y.C., Hung, S.C.: Social Capital and Creativity in R&D Project Teams. R&D Management 38(1), 21–34 (2008)
Chow, C.K., Liu, C.N.: Approximating Discrete Probability Distributions with Dependence trees. IEEE Transactions on Information Theory 14(3), 462–467 (1968)
Chowdhury, S.: The Role of Affect- and Cognition-based Trust in Complex Knowledge Sharing. Journal of Managerial Issues 17(3), 310–326 (2005)
Chua, R.Y.J., Morris, M.W.: From the Head and the Heart: Locating Cognition-and Affect-based Trust in Managers’ Professional Networks. Academy of Management Journal 51(3), 436–452 (2008)
Day, D.V., Gronn, P., Salas, E.: Leadership Capacity in Teams. The Leadership Quarterly 15(6), 857–880 (2004)
De Clercq, D., Thongpapanl, N.T., Dimov, D.: The Role of Conflict and Social Capital in Cross-Functional Collaboration. In: Proceedings of the 4th Workshop on Trust within and Between Organizations, Amsterdam (October 2007)
De Vries, R.E., van den Hooff, B., de Ridder, J.A.: Explaining Knowledge Sharing: The Role of Team Communication Styles, Job Satisfaction, and Performance Beliefs. Communication Research 33(2), 115–135 (2006)
Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian Network Classifiers. Machine Learning 29(2-3), 131–163 (1997)
Jehn, K.A.: A Multimethod Examination of the Benefits and Detriments of Intragroup Conflict. Administrative Science Quarterly 40, 256–282 (1995)
Johnson, D., Grayson, K.: Cognitive and Affective Trust in Service Relationships. Journal of Business Research 58, 500–507 (2005)
Lapierre, J., Giroux, V.: Creativity and Work Environment in a High-Tech Context. Creativity and Innovation Management 12, 11–23 (2003)
Lauria, E.J.M., Duchessi Peter, J.: A Methodology for Developing Bayesian Networks: An Application to Information Technology (IT) Implementation. European Journal of Operational Research 179, 234–252 (2007)
Lauritzen, S.L.: Causal Inference in Graphical Models. In: Barndorff-Nielsen, O.E., Cox, D.R., Kluppelberg, C. (eds.) Complex Stochastic Systems. Chapman & Hall, London (2000)
Lewis, J.D., Weigert, A.: Trust as a Social Reality. Soc. Forces 1985 63, 967–985 (1985)
Mamykina, L., Candy, L., Edmonds, E.: Collaborative Creativity. Communications of the ACMÂ 45(10) (2002)
Mayo, M., Meindl, J.R., Pastor, J.C.: Shared Leadership in Work Teams: A Social Network Approach. In: Pearce, C.L., Conger, J.A. (eds.) Shared Leadership: Reframing the Hows and Whys of Leadership, pp. 193–214. Sage, Thousand Oaks (2003)
McAllister, D.J.: Affect-and Cognition-based Trust as Foundations for Interpersonal Cooperation in Organizations. Academy of Management Journal 38, 24–59 (1995)
Mehra, A., Smith, B., Dixon, A., Robertson, B.: Distributed Leadership in Teams: The Network of Leadership Perceptions and Team Performance. Leadership Quarterly 17, 232–245 (2006)
Mohrman, S.A., Cohen, S.G., Mohrman, A.M.: Designing Team-based Organizations: New Forms for Knowledge Work. Lavoisier (1995)
Mooradian, T., Renzl, B., Matzler, K.: Who Trusts? Personality, Trust and Knowledge Sharing. Management Learning 37(4), 523–540 (2006)
Oldham, G.R.: Stimulating and Supporting Creativity in Organizations. In: Jackson, S.E., Hitt, M.A., DeNisi, A.S. (eds.) Managing Knowledge for Sustained Competitive Advantage: Designing Strategies for Effective Human Resource Management, pp. 243–273. Jossey-Bass, San Francisco (2003)
Oldham, G.R., Cummings, A.: Employee Creativity: Personal and Contextual Factors at Work. Academy of Management Journal 39, 607–634 (1996)
Organ, D.W.: The Motivational Basis of Organizational Citizenship Behavior. In: Staw, B.M., Cummings, L.L. (eds.) Research in Organizational Behavior, vol. 12, pp. 43–72. JAI Press, Greenwhich (1990)
Pearce, C.L., Sims, H.P.: The Relative Influence of Vertical vs. Shared Leadership on the Longitudinal Effectiveness of Change Management Teams. Group Dynamics: Theory, Research, and Practice 6(2), 172–197 (2002)
Podsakoff, P.M., MacKenzie, S.B., Moorman, R.H., Fetter, R.: Transformational Leader Behaviours and Their Effects on Followers’ Trust in Leader, Satisfaction, and Organizational Citizenship Behaviors. Leadership Quarterly 1, 107–142 (1990)
Robinson, S.L.: Trust and Breach of the Psychological Contract. Administrative Science Quarterly 41(4), 574–599 (1996)
Shin, S.J., Zhou, J.: Transformational Leadership, Conservation, and Creativity: Evidence from Korea. Academy of Management Journal 46(6), 703–714 (2003)
Simons, T., Peterson, R.: Task Conflict and Relationship Conflict in Top Management Teams: the Pivotal Role of Intragroup Trust. Journal of Applied Psychology 85, 102–111 (2000)
Wu, W.W.: Linking Bayesian Networks and PLS Path Modeling for Causal Analysis. Expert Systems with Applications 37, 134–139 (2010)
Wu, W.L., Hsu, B.F., Yeh, R.S.: Fostering the Determinants of Knowledge Transfer: A Team-level Analysis. Journal of Information Science 33(3), 326–339 (2007)
Yukl, G.: Leadership in Organizations. Prentice-Hall, Upper Saddle River (2002)
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Lee, K.C., Lee, D.S., Seo, Y.W., Jo, N.Y. (2011). Antecedents of Team Creativity and the Mediating Effect of Knowledge Sharing: Bayesian Network Approach to PLS Modeling as an Ancillary Role. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20042-7_55
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DOI: https://doi.org/10.1007/978-3-642-20042-7_55
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