How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia

IntroductionThe integration of artificial intelligence (AI) into workplaces has transformed organizational operations, yet its impact on employee knowledge sharing remains underexplored. While AI adoption enhances learning and collaboration, the extent to which employees engage in knowledge sharing...

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Main Authors: Xiaoyue Hu, Hongyan Gao, Tesfaye Agafari, Minnie Qing Zhang, Rong Cong
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1573587/full
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author Xiaoyue Hu
Hongyan Gao
Tesfaye Agafari
Minnie Qing Zhang
Rong Cong
author_facet Xiaoyue Hu
Hongyan Gao
Tesfaye Agafari
Minnie Qing Zhang
Rong Cong
author_sort Xiaoyue Hu
collection DOAJ
description IntroductionThe integration of artificial intelligence (AI) into workplaces has transformed organizational operations, yet its impact on employee knowledge sharing remains underexplored. While AI adoption enhances learning and collaboration, the extent to which employees engage in knowledge sharing depends on leadership styles and attitudes toward technology. This study investigates how AI adoption promotes knowledge sharing through employee learning opportunities, while considering the moderating roles of paradoxical leadership and technophilia.MethodsA survey was conducted with 364 employees across various organizations to examine the proposed relationships. Structural equation modeling (SEM) was employed to test the mediation effect of learning opportunities and the moderating effects of paradoxical leadership and technophilia.ResultsThe findings reveal that AI adoption positively influences employee knowledge sharing, with learning opportunities serving as a key mediating factor. Furthermore, paradoxical leadership and technophilia amplify this relationship, indicating that employees with a strong affinity for technology and those working under paradoxical leaders are more likely to leverage AI for knowledge sharing.DiscussionThese results provide important implications for organizations seeking to maximize the benefits of AI adoption. Managers should foster a paradoxical leadership style and support employees in developing a positive attitude toward technology to enhance knowledge-sharing behaviors. Future research should explore additional contextual factors influencing AI-driven knowledge sharing.
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spelling doaj-art-2a6f9d4045964deea81f67135a5cdb4d2025-08-20T03:54:06ZengFrontiers Media S.A.Frontiers in Psychology1664-10782025-05-011610.3389/fpsyg.2025.15735871573587How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophiliaXiaoyue HuHongyan GaoTesfaye AgafariMinnie Qing ZhangRong CongIntroductionThe integration of artificial intelligence (AI) into workplaces has transformed organizational operations, yet its impact on employee knowledge sharing remains underexplored. While AI adoption enhances learning and collaboration, the extent to which employees engage in knowledge sharing depends on leadership styles and attitudes toward technology. This study investigates how AI adoption promotes knowledge sharing through employee learning opportunities, while considering the moderating roles of paradoxical leadership and technophilia.MethodsA survey was conducted with 364 employees across various organizations to examine the proposed relationships. Structural equation modeling (SEM) was employed to test the mediation effect of learning opportunities and the moderating effects of paradoxical leadership and technophilia.ResultsThe findings reveal that AI adoption positively influences employee knowledge sharing, with learning opportunities serving as a key mediating factor. Furthermore, paradoxical leadership and technophilia amplify this relationship, indicating that employees with a strong affinity for technology and those working under paradoxical leaders are more likely to leverage AI for knowledge sharing.DiscussionThese results provide important implications for organizations seeking to maximize the benefits of AI adoption. Managers should foster a paradoxical leadership style and support employees in developing a positive attitude toward technology to enhance knowledge-sharing behaviors. Future research should explore additional contextual factors influencing AI-driven knowledge sharing.https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1573587/fullartificial intelligence adoptionparadoxical leadershiptechnophiliaemployee learning opportunitiesemployee knowledge sharing
spellingShingle Xiaoyue Hu
Hongyan Gao
Tesfaye Agafari
Minnie Qing Zhang
Rong Cong
How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia
Frontiers in Psychology
artificial intelligence adoption
paradoxical leadership
technophilia
employee learning opportunities
employee knowledge sharing
title How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia
title_full How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia
title_fullStr How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia
title_full_unstemmed How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia
title_short How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia
title_sort how and when artificial intelligence adoption promotes employee knowledge sharing the role of paradoxical leadership and technophilia
topic artificial intelligence adoption
paradoxical leadership
technophilia
employee learning opportunities
employee knowledge sharing
url https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1573587/full
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