Exploring the Impact of Artificial Intelligence (AI-Driven) Job Crafting on Employee Performance: A Bibliometric Analysis and Research Agenda

Tri Minh Nguyen, Nhat Tan Pham () and Nguyen Le Khanh Trang
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Tri Minh Nguyen: Tan Tao University, School of Economics and Business Administration (SBE)
Nhat Tan Pham: International University, Vietnam National University, School of Business Administration
Nguyen Le Khanh Trang: Vietcombank

A chapter in Vietnamese Business and Sustainable Development in a Globalized and Digitalized Era, 2026, pp 290-311 from Springer

Abstract: Abstract This study uses bibliometric analysis to explore the knowledge structure and research trends on job crafting and employee performance. A dataset of 183 documents retrieved from the Scopus database to explore existing research on this topic, using a methodology that included bibliometric analysis, network analysis, and content analysis (CA) and analyzing by VOSViewer. The results show that although there have been many studies on the relationship between job crafting and employee performance, there is still a research gap on the impact of AI-driven job crafting on employee performance. By synthesizing theory and previous studies, an integrated model is proposed, which considers mediating factors such as digital resilience, employee psychological well-being, employee engagement with AI, and moderating factors such as sustainable leadership and employee AI-driven change readiness. The model results will provide theoretical and practical foundation, guiding businesses in applying AI to change and design work to improve employee performance.

Keywords: AI-driven job crafting; bibliometric analysis; employee performance; digital transformation; leadership (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-24745-2_16

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DOI: 10.1007/978-3-032-24745-2_16

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