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ORCIDNam Yong Jo
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- affiliation: Sungkyunkwan University, Seoul, South Korea
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Journal Articles
- 2015
[j2]Min Hee Hahn, Kun Chang Lee, Nam Yong Jo:
Scenario-based management of individual creativity. Comput. Hum. Behav. 42: 36-46 (2015)- [j1]Nam Yong Jo, Kun Chang Lee, Dae Sung Lee
, Min Hee Hahn:
Empirical analysis of roles of perceived leadership styles and trust on team members' creativity: Evidence from Korean ICT companies. Comput. Hum. Behav. 42: 149-156 (2015)
Conference and Workshop Papers
- 2012
- [c9]Nam Yong Jo, Kun Chang Lee, Dae Sung Lee:
Task Performance under Stressed and Non-stressed Conditions: Emphasis on Physiological Approaches. ACIIDS (3) 2012: 19-26 - [c8]Dae Sung Lee, Kun Chang Lee, Nam Yong Jo:
The Influence of Team-Member Exchange on Self-reported Creativity in the Korean Information and Communication Technology (ICT) Industry. ACIIDS (3) 2012: 47-54 - 2011
- [c7]Kun Chang Lee, Nam Yong Jo:
CBN: Combining Cognitive Map and General Bayesian Network to Predict Cost of Software Maintenance Effort. ACIIDS Posters 2011: 97-106 - [c6]Kun Chang Lee, Dae Sung Lee, Young Wook Seo, Nam Yong Jo:
Antecedents of Team Creativity and the Mediating Effect of Knowledge Sharing: Bayesian Network Approach to PLS Modeling as an Ancillary Role. ACIIDS (2) 2011: 545-555 - [c5]Nam Yong Jo, Dae Sung Lee, Kun Chang Lee:
An Empirical Analysis of Leadership Styles and Their Impact on Creativity: Emphasis on Korean ICT Companies. FGIT-UNESST 2011: 187-196 - [c4]Dae Sung Lee, Nam Yong Jo, Kun Chang Lee:
A Physiological Approach to Creativity under Stress and Non-stress Conditions. FGIT-UNESST 2011: 197-206 - [c3]Nam Yong Jo, Kun Chang Lee, Bong-Won Park:
Exploring the Optimal Path to Online Game Loyalty: Bayesian Networks versus Theory-Based Approaches. UCMA (2) 2011: 428-437 - [c2]Dae Sung Lee, Nam Yong Jo, Kun Chang Lee:
Leadership Styles, Web-Based Commitment and Their Subsequent Impacts on e-Learning Performance in Virtual Community. UCMA (2) 2011: 447-456 - 2010
- [c1]Kun Chang Lee, Nam Yong Jo:
Bayesian Network Approach to Predict Mobile Churn Motivations: Emphasis on General Bayesian Network, Markov Blanket, and What-If Simulation. FGIT 2010: 304-313
Coauthor Index
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