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Understanding artificial intelligence usage and knowledge sharing: The social ties perspective.

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  • 1School of Economics and Management, Yancheng Institute of Technology, China.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) reshapes workplace relationships by weakening task-focused connections and strengthening personal bonds, impacting knowledge sharing. Shared leadership can moderate these AI-driven effects on coworker interactions.

Keywords:
Artificial intelligenceExpressive tiesInstrumental tiesKnowledge sharingShared leadership

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Area of Science:

  • Organizational Behavior
  • Information Systems
  • Sociology of Work

Background:

  • Growing research on artificial intelligence (AI) impacts workplace knowledge exchange.
  • Limited understanding of how AI reconfigures relational foundations for coworker knowledge sharing.
  • Need to explore AI's influence on both instrumental and expressive ties.

Purpose of the Study:

  • To investigate how artificial intelligence usage restructures coworker relationships.
  • To examine the pathways through which AI influences instrumental and expressive ties.
  • To determine the association between these restructured ties and knowledge sharing (explicit and tacit).

Main Methods:

  • Two-wave time-lagged survey design.
  • Sample of 561 employees from technology firms.
  • Analysis of AI usage, instrumental ties, expressive ties, and knowledge sharing.

Main Results:

  • AI usage negatively relates to instrumental ties (task-focused relationships).
  • AI usage positively relates to expressive ties (socioemotional relationships).
  • Both instrumental and expressive ties positively associate with explicit and tacit knowledge sharing.

Conclusions:

  • AI restructures coworker relationships, weakening instrumental ties and strengthening expressive ties.
  • These relational shifts mediate AI's impact on knowledge sharing.
  • Shared leadership moderates the indirect effects of AI on knowledge sharing via relational ties.