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 | 67 | 2021 |
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 | 42 | 2012 |
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 | 27 | 2013 |
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 | 26 | 2011 |
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 | 17 | 2020 |
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 | 11 | 2012 |
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 | 10 | 2021 |
Empirical testing of a human performance model: Understanding success in federal agencies using second-order structural equation modeling IG Kang Indiana University, 2015 | 10 | 2015 |
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 | 7 | 2023 |
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 | 6 | 2019 |
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 | 5 | 2004 |
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 | 2 | 2019 |
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 |