Abstract
This study proposes a type of individual creativity model that is comprised of knowledge network structure and creative process. Knowledge network structure represents degree centrality and structural holes that are driven by interactions among members in organization. In this model, we assume that individuals would yield different performances by complicated network structures. On the other hand, creative process includes exploration and exploitation. While exploitation is regarded as the existing solution, exploration is the development of new solutions. To validate our proposed model, we contacted the seven largest system integration companies in South Korea. Then, we collected the questionnaires of 73 members and their recently organized 7 teams, and analyzed the data by structural equation model. Our study found that degree centrality and structural holes significantly influence exploitation and exploration. Moreover, our results show that exploitation significantly has an effect on exploration, and both exploitation and exploration influence individual creativity positively.
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References
Amabile, T.M.: A Model of Creativity and Innovation in Organizations. Research in Organizational Behavior 10, 123–167 (1988)
Amabile, T.M.: Creativity in context. Westview Press, CO (1996)
Amabile, T.M.: The social psycology of creativity: A componential conceptualization. Journal of Personality and Social Psycology 45, 357–376 (1983)
Audia, P.G., Goncalo, J.A.: Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry. Management Science 53, 1–15 (2007)
Balkundi, P., Harrison, D.A.: Ties, leaders, and time in teams: Strong inference about the effects of network structure on team viability and performance. Academy of Management Journal 49, 49–68 (2006)
Benner, M.J., Tushman, M.L.: Process management and technological innovation: A longitudinal study of the photography and paint industries. Administrative Science Quarterly 47, 676–706 (2002)
Burt, R.S.: Structural Holes: The Social Structure of Competition. Harvard University Press, Cambridge (1992)
Chin, W.W.: The partial least squares approach to structural equation modelling. In: Marcoulides, G.A. (ed.) Modern methods for business research, pp. 295–336. Lawrence Erlbaum Associates, Inc., Mahwah (1998)
Cohen, W.M., Levinthal, D.A.: Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly 35, 128–152 (1990)
Coleman, J.: Social capital in the creation of human capital. American Journal of Sociology 94, 95–120 (1988)
Ford, C.M.: A theory of individual creative action in multiple social domains. Academy of Management Review 21, 1112–1142 (1996)
Guilford, J.P.: Creativity. American Psychologist 5, 444–454 (1950)
Gupta, A.K., Smith, K.G., Shalley, C.E.: The Interplay between Exploration and Exploitation. Academy of Management Journal 49, 693–706 (2006)
He, Z.L., Wong, P.K.: Exploration vs Exploitation: An Empirical Test of the Ambidexterity Hypothesis. Organization Science 15, 81–94 (2004)
Katila, R., Ahuja, G.: Something old, something new: A longitudinal study of search behavior and new product introduction. Academy of Management Journal 45, 1183–1194 (2002)
Lazer, D., Friedman, A.: The Network Structure of Exploration and Exploitation. Administrative Science Quarterly 52, 667–694 (2007)
Levinthal, D.A., March, J.G.: The myopia of learning. Strategic Management Journal 14, 95–112 (1993)
March, J.G.: Exploration and exploitation in organizational learning. Organization Science 2, 71–87 (1991)
Nerkar, A.: Old is good? The value of temporal exploration in the creation of new knowledge. Management science 49, 211–229 (2003)
Oldham, G.R., Cummings, A.: Employee creativity: Personal and contextual factors at work. Academy of Management Journal 39, 607–634 (1996)
Reagans, R.E., Zuckerman, E.W.: Networks, diversity, and Productivity: The social capital of corporate R&D teams. Organization Science 12, 502–517 (2001)
Schilling, M.A., Phelps, C.C.: Interfirm collaboration networks: The impact of large-scale network structure on firm innovation. Management Science 53, 1113–1126 (2007)
Shalley, C.E., Gilson, L., Blum, T.C.: Matching creativity requirements and the work environment: Effects on satisfaction and intentions to leave. Academy of Management Journal 43, 215–223 (2000)
Tiwana, A., McLean, E.R.: Expertise integration and creativity in information systems development. Journal of Management Information Systems 22, 13–44 (2005)
Wold, H.: Soft Modelling: The Basic Design and some Extensions. In: Jöreskog, K.G., Wold, H. (eds.) Systems Under Indirect Observation, Part II. North Holland Press, Amsterdam (1982)
Woodman, R.W., Sawyer, J.E., Griffin, R.W.: Toward a theory of organizational creativity. Academy of Management Review 18, 293–321 (1993)
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Hahn, M.H., Lee, K.C., Lee, D.S. (2011). Empirical Analysis of the Effect of Knowledge Network Structure on Individual Creativity through Exploitation and Exploration. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Advanced Computer Science and Information Technology. AST 2011. Communications in Computer and Information Science, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24267-0_36
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DOI: https://doi.org/10.1007/978-3-642-24267-0_36
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