Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator

The modernization of Chinese higher education relies heavily on fostering innovative work behavior (IWB) among university teachers. However, the crucial role of non-intellectual and external factors has often been overlooked, contributing to insufficient innovative outcomes. Drawing on self-determin...

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Main Authors: Yifan Zhou, Ramayah Thurasamy, Rosmelisa Yusof, Peng Zhang, Xiaojuan Li, Shengkai Ling
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Acta Psychologica
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Online Access:http://www.sciencedirect.com/science/article/pii/S0001691825005451
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author Yifan Zhou
Ramayah Thurasamy
Rosmelisa Yusof
Peng Zhang
Xiaojuan Li
Shengkai Ling
author_facet Yifan Zhou
Ramayah Thurasamy
Rosmelisa Yusof
Peng Zhang
Xiaojuan Li
Shengkai Ling
author_sort Yifan Zhou
collection DOAJ
description The modernization of Chinese higher education relies heavily on fostering innovative work behavior (IWB) among university teachers. However, the crucial role of non-intellectual and external factors has often been overlooked, contributing to insufficient innovative outcomes. Drawing on self-determination theory and social exchange theory, this study develops a research model where career calling (CC) and talent policy (TP) serve as independent variables, IWB as the dependent variable, work engagement (WE) as a mediating variable, and artificial intelligence (AI) as a moderating variable to explore effective ways to stimulate IWB. The authors conducted a two-wave online questionnaire survey among 252 university teachers in China, analyzing the data using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that CC and TP are significantly associated with WE, which, in turn, positively influences IWB. Moreover, AI acts as a moderating variable, strengthening the relationship between WE and IWB. This study makes valuable contributions to the literature on IWB, enriches the theoretical foundations of CC andTP in higher education contexts, and offers practical recommendations for leveraging AI strategies within the sector.
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spelling doaj-art-a6feffb547634b32b964a8151bc164b82025-07-23T05:23:05ZengElsevierActa Psychologica0001-69182025-08-01258105232Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderatorYifan Zhou0Ramayah Thurasamy1Rosmelisa Yusof2Peng Zhang3Xiaojuan Li4Shengkai Ling5Wenzhou Polytechnic, Wenzhou 325035, China; School of Management, Universiti Sains Malaysia, Penang 11800, MalaysiaSchool of Management, Universiti Sains Malaysia, Penang 11800, Malaysia; Department of Management, Sunway Business School (SBS), 47500 Petaling Jaya, Selangor, Malaysia; Department of Information Technology & Management, Daffodil International University, Birulia, Bangladesh; University Center for Research & Development (UCRD), Chandigarh University, 140413, Punjab, India; Faculty of Economics and Business, Universitas Indonesia (UI), Depok City, West Java 16424, Indonesia; Faculty of Business, Sohar University, P.C 311 Sohar, Oman; School of Business, The University of Jordan (UJ), Amman, 11942, Jordan; Asia Pacific University of Technology & Innovation (APU), Technology Park, 57000 Kuala Lumpur, MalaysiaSchool of Management, Universiti Sains Malaysia, Penang 11800, MalaysiaSchool of Management, Universiti Sains Malaysia, Penang 11800, Malaysia; School of Management, Zhengzhou Business University, Zhengzhou 451200, ChinaWenzhou University of Technology, Wenzhou 325035, China; Corresponding author.Ningbo University of Finance and Economics, Ningbo 315175, ChinaThe modernization of Chinese higher education relies heavily on fostering innovative work behavior (IWB) among university teachers. However, the crucial role of non-intellectual and external factors has often been overlooked, contributing to insufficient innovative outcomes. Drawing on self-determination theory and social exchange theory, this study develops a research model where career calling (CC) and talent policy (TP) serve as independent variables, IWB as the dependent variable, work engagement (WE) as a mediating variable, and artificial intelligence (AI) as a moderating variable to explore effective ways to stimulate IWB. The authors conducted a two-wave online questionnaire survey among 252 university teachers in China, analyzing the data using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that CC and TP are significantly associated with WE, which, in turn, positively influences IWB. Moreover, AI acts as a moderating variable, strengthening the relationship between WE and IWB. This study makes valuable contributions to the literature on IWB, enriches the theoretical foundations of CC andTP in higher education contexts, and offers practical recommendations for leveraging AI strategies within the sector.http://www.sciencedirect.com/science/article/pii/S0001691825005451Career callingTalent policyWork engagementInnovative work behaviorArtificial intelligence
spellingShingle Yifan Zhou
Ramayah Thurasamy
Rosmelisa Yusof
Peng Zhang
Xiaojuan Li
Shengkai Ling
Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator
Acta Psychologica
Career calling
Talent policy
Work engagement
Innovative work behavior
Artificial intelligence
title Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator
title_full Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator
title_fullStr Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator
title_full_unstemmed Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator
title_short Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator
title_sort factors influencing innovative work behavior among teachers in the higher education sectors in china the role of work engagement as a mediator and artificial intelligence as a moderator
topic Career calling
Talent policy
Work engagement
Innovative work behavior
Artificial intelligence
url http://www.sciencedirect.com/science/article/pii/S0001691825005451
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