Human resource management digital technology response mechanism based on employee value proposition
Bibliographic Data
| ID | 22428005 |
|---|---|
| Authors | Yanping Yang (0000-0003-0984-996X, Nanjing Tech University Pujiang Institute , Nanjing), 杨艳萍 杨艳萍 (Nanjing Tech University, corresponding author) |
| Year | 2026 |
| Volume | 22 |
| Issue | 6 |
| Pages | 1358-1380 |
| Publication date | 2026-06-17 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Social Responsibility Journal (JOURNAL) |
| Journal identifiers | ISSN: 1747-1117 • E-ISSN: 1758-857X |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/srj-02-2025-0125 |
| OpenAlex | W7163929193 |
| Language | EN |
| References cited | 48 |
Purpose Digitalization has introduced new momentum into human resource management (HRM) practice and research. However, managers and scholars face the challenge of integrating digital technology with employees to maximize its positive impact. This study aims to explore how employees’ perceptions, emotions, adaptation and resistance toward digital technology influence job performance within the context of digital HRM. Design/methodology/approach Drawing on structuration theory and employee value proposition, this study develops a theoretical model linking employees’ responses to digital technology with job performance. A questionnaire survey was administered to 412 Didi drivers in China. Data were analyzed using structural equation modeling with LISREL 8.70 software to test the proposed hypotheses. Findings The study found that (1) the cognitive, emotional experience and adaptation stages of employees have a significant positive effect on their work performance. (2) The resistance mentality of employees has a significant negative effect on their work performance. (3) Work motivation and satisfaction play a significant mediating role between cognition and work outcomes. Research limitations/implications The study is limited in its focus on a specific sample of Didi drivers, a factor that may limit the general applicability of the study conclusions. Practical implications The research findings have effectively expanded the scope of discussion on the anthems of employee performance, provided the academic community with in-depth insights into multiple influencing factors and enriched the theoretical system of performance management. In addition, these findings have significant guiding implications for the field of practice, especially in addressing the challenges of digital HRM. Originality/value This study reveals the impact of digital technology on Didi drivers’ cognition, emotions, behavior and performance, providing corresponding social responsibility for managers and promoting closer integration and collaborative progress between technology, employees and organizations.
Human resource management · Human resources · Job satisfaction · LISREL · Structural equation modeling · Technology Acceptance Model · Value proposition · AI and HR Technologies · Employer Branding and e-HRM · Technostress in Professional Settings
Artificial Intelligence and Management
Trust in humanoid robots
Web-Based Virtual Learning Environments
The Digital Workforce and the Workplace of the Future
Human Trust in Artificial Intelligence
Privacy and human behavior in the age of information
How Does the Use of Information Communication Technology Affect Individuals? A Work Design Perspective
Unlocking the value of artificial intelligence in human resource management through AI capability framework
Capturing the Complexity in Advanced Technology Use
Intrinsic Motivation and Self-Determination in Human Behavior
Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being
How Technology Is Changing Work and Organizations
Structural equation modeling in practice
Monitoring what and how
Good Gig, Bad Gig
Technologies, Texts and Affordances
| Citation velocity | historical |
|---|---|
| Highly cited | No |