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In-Gu Kang
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Team performance improvement and learning organization culture in the Korean business context: The mediating effect of employee engagement
JH Song, DH Lim, IG Kang, W Kim
The Learning Organization 21 (5), 290–309, 2014
96*2014
Predictors of turnover intention in US Federal Government Workforce: Machine learning evidence that perceived comprehensive HR practices predict turnover intention
IG Kang, B Croft, BA Bichelmeyer
Public Personnel Management 50 (4), 538-558, 2021
672021
The impact of an organization’s procedural justice and transformational leadership on employees’ citizenship behaviors in the Korean business context
JH Song, IG Kang, YH Shin, HK Kim
Journal of Leadership & Organizational Studies 19 (4), 424-436, 2012
422012
Why are we using action learning and in what contexts?
S Park, I Kang, TR Valencic, Y Cho
Action Learning: Research and Practice 10 (1), 4-24, 2013
272013
The current state of human performance technology: A citation network analysis of Performance Improvement Quarterly, 1988–2010
Y Cho, SJ Jo, S Park, I Kang, Z Chen
Performance Improvement Quarterly 24 (1), 69-95, 2011
262011
Heterogeneity of learners’ behavioral patterns of watching videos and completing assessments in massive open online courses (MOOCs): A latent class analysis
IG Kang
International Review of Research in Open and Distributed Learning 21 (4 …, 2020
172020
The mediating effect of team‐level knowledge creation on organizational procedural justice and team performance improvement
I Kang, J Hoon Song, W Kim
Performance Improvement Quarterly 25 (2), 43-64, 2012
112012
A machine-learning classification tree model of perceived organizational performance in US federal government health agencies
IG Kang, N Kim, WY Loh, BA Bichelmeyer
Sustainability 13 (18), 10329, 2021
102021
Empirical testing of a human performance model: Understanding success in federal agencies using second-order structural equation modeling
IG Kang
Indiana University, 2015
102015
Racial/ethnic differences in employee perceived organizational performance, job satisfaction, and diversity management among the US federal public health agencies
IG Kang, N Kim, BA Bichelmeyer
Public Personnel Management 52 (1), 70-90, 2023
72023
Advancing the knowledge base toward a comprehensive model—Part 1: An empirically tested performance model
IG Kang, BA Bichelmeyer
Performance Improvement 58 (8-9), 26-36, 2019
62019
The Effects of the social network data presentation on interaction processes and products in computer supported collaborative learning environment
D Kim, IG Kang
Journal of Educational Technology 20 (1), 89-116, 2004
52004
Advancing the Knowledge Base Toward A Comprehensive Model Part 2: A Holistic Approach to Performance Improvement Practices
IG Kang, BA Bichelmeyer
Performance Improvement 58 (10), 13-20, 2019
22019
Exploring the Features and Implications of a Project-Based Professional Development Program
C Castle, R Moussavi, C Pittack, C Chow, IG Kang, M Karamcheti
Proceedings of the 18th International Conference of the Learning Sciences …, 2024
2024
Machine learning classification and regression tree models of job satisfaction and turnover intention among US public health federal employees
IG Kang, N Kim, WY Loh
APHA 2023 Annual Meeting and Expo, 2023
2023
Organization satisfaction, fairness and trust predicting perceived organizational performance in the US governmental public health workforce
IG Kang, N Kim
APHA's 2018 Annual Meeting & Expo (Nov. 10-Nov. 14), 2018
2018
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Articles 1–16