05906074

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05906074 Lee, Kun Chang Choi, Do Young A Bayesian network-based management of individual creativity: Emphasis on sensitivity analysis with TAN. Nguyen, Ngoc Thanh (ed.) et al., Intelligent information and database systems. Third international conference, ACIIDS 2011, Daegu, Korea, April 20--22, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-20041-0/pbk). Lecture Notes in Computer Science 6592. Lecture Notes in Artificial Intelligence, 512-521 (2011). 2011 Berlin: Springer EN Creativity management Bayesian network TAN Sensitivity analysis What-if analysis Goal-seeking analysis

doi:10.1007/978-3-642-20042-7_52

Summary: Creativity emerges as one of important resources for management. However, definitions of creativity have varied with researchers, and there is no universally agreed consensus about how to manage creativity in organizations. In this sense, managers who are interested in adopting specific type of creativity management strategy were confused. To avoid this problem, this study proposes a new method to creativity management by using a Bayesian Network (BN) that consists of nodes and arcs, and enables sensitivity analyses with various scenarios of interest. By focusing on individual creativity and its relationships with knowledge characteristic, intrinsic motivation, knowledge heterogeneity among team members, and organizational learning, we collected 222 valid questionnaires and performed what-if/goal seeking simulations based on TAN (Tree Augmented Na{\"\i}ve Bayesian Network) structure. Empirical results were promising and its practical meanings were well interpreted.