General Bayesian Network approach to balancing exploration and exploitation to maintain individual creativity in organization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee K.C.[Lee K.C.] | - |
dc.contributor.author | Hahn M.H.[Hahn M.H.] | - |
dc.date.accessioned | 2021-08-06T05:46:12Z | - |
dc.date.available | 2021-08-06T05:46:12Z | - |
dc.date.created | 2016-08-06 | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/71601 | - |
dc.description.abstract | As market competition grows fierce, how to maintain competitiveness in the market emerges a crucial issue for all the organizations. Aware of this urgent fact, companies have been seeking best way of managing their creativity at competitive levels. However, most of existing approaches currently discussed in literature were limited to narrative and elusive statements from which creativity management strategists could not extract set of concrete action rules. To overcome this pitfall, this study proposes a novel approach to creativity management by adopting General Bayesian Network (GBN). Especially, based on the findings from literature that balance of exploration and exploitation leads to sustainable management of creativity, we built a research model including the five variables affecting individual creativity such as exploration, exploitation, task complexity, bureaucratic culture, and supportive culture. To induce a set of causal relationships among the individual creativity and the five variables, GBN was applied to 227 valid questionnaire sample data. Through the what-if and goal-seeking simulations, promising empirical results were obtained, which shed robust and meaningful platform for further studies in this exciting field. © Springer-Verlag Berlin Heidelberg 2011. | - |
dc.subject | Action rules | - |
dc.subject | Balance of exploration and exploitation | - |
dc.subject | Causal relationships | - |
dc.subject | Creativity management | - |
dc.subject | Exciting field | - |
dc.subject | Exploitation | - |
dc.subject | Exploration and exploitation | - |
dc.subject | Goal-seeking | - |
dc.subject | Individual creativity | - |
dc.subject | Market competition | - |
dc.subject | Organizational cultures | - |
dc.subject | Research models | - |
dc.subject | Sample data | - |
dc.subject | Sustainable management | - |
dc.subject | Task complexity | - |
dc.subject | Commerce | - |
dc.subject | Competition | - |
dc.subject | Database systems | - |
dc.subject | Natural resources exploration | - |
dc.subject | Bayesian networks | - |
dc.title | General Bayesian Network approach to balancing exploration and exploitation to maintain individual creativity in organization | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee K.C.[Lee K.C.] | - |
dc.identifier.doi | 10.1007/978-3-642-20042-7_53 | - |
dc.identifier.scopusid | 2-s2.0-84872112663 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.6592 LNAI, no.PART 2, pp.522 - 531 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 6592 LNAI | - |
dc.citation.number | PART 2 | - |
dc.citation.startPage | 522 | - |
dc.citation.endPage | 531 | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Exploitation | - |
dc.subject.keywordAuthor | Exploration | - |
dc.subject.keywordAuthor | General Bayesian Network | - |
dc.subject.keywordAuthor | Individual creativity | - |
dc.subject.keywordAuthor | Organizational culture | - |
dc.subject.keywordAuthor | Task complexity | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(03063) 25-2, SUNGKYUNKWAN-RO, JONGNO-GU, SEOUL, KOREAsamsunglib@skku.edu
COPYRIGHT © 2021 SUNGKYUNKWAN UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.