The impact of ambidextrous learning on employee performance under digital transformation stress
Issued Date
2024
Issued Date (B.E.)
2567
Available Date
Copyright Date
Resource Type
Series
Edition
Language
eng
File Type
application/pdf
No. of Pages/File Size
220 leaves
ISBN
ISSN
eISSN
DOI
Other identifier(s)
Identifier(s)
Access Rights
Access Status
Rights
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Rights Holder(s)
Physical Location
Bibliographic Citation
Citation
Lin, Jing (2024). The impact of ambidextrous learning on employee performance under digital transformation stress. Retrieved from: https://repository.nida.ac.th/handle/123456789/7166.
Title
The impact of ambidextrous learning on employee performance under digital transformation stress
Alternative Title(s)
Author(s)
Advisor(s)
Editor(s)
item.page.dc.contrubutor.advisor
Advisor's email
Contributor(s)
Contributor(s)
Abstract
Against the backdrop of accelerating digital transformation, enterprises are facing unprecedented pressure for change, and how employees adapt to this transformation has become a critical factor influencing organizational performance. Based on the stress-performance theory, ambidextrous learning theory, and perceived competence theory, this study constructs a mechanism model to examine the relationships among digital transformation stress perception, ambidextrous learning (exploratory learning and exploitative learning), perceived competence, and employee work performance. The research aims to explore how digital transformation stress perception influences employee work performance through ambidextrous learning, while further analyzing the moderating role of perceived competence to reveal how employees effectively learn and enhance performance in a digital environment.
This study adopts a questionnaire survey method, collecting self-assessment data from 405 corporate sales managers regarding their perceptions of digital transformation pressure, learning approaches, perceived competence, and work performance. A structural equation model (SEM) was constructed to test the research hypotheses, and hierarchical regression analysis was employed to examine the moderating effect of perceived competence. Through quantitative analysis, the study reveals the mechanism by which digital transformation stress perception influences employee work performance through ambidextrous learning (exploratory learning and exploitative learning).
Table of contents
Description
Thesis (Ph.D. (Management))--National Institute of Development Administration, 2024