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Related Concept Videos

Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

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Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
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Approach or avoidance? Relationship between perceived AI explainability and employee job crafting.

Weiwei Huo1, Jiaying Xie1, Jiaqi Yan2

  • 1SILC Business School, Shanghai University, Chengzhong Road, 201800 Shanghai, China.

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Summary

Perceived artificial intelligence (AI) explainability boosts employee job crafting by enhancing benefit perception and reducing threat perception. An ethical climate further strengthens these AI explainability effects in the workplace.

Keywords:
Approach job craftingAvoidance job craftingEthical climatePerceived AI explainabilityWork design

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Area of Science:

  • Organizational Behavior
  • Artificial Intelligence Ethics
  • Human Resource Management

Background:

  • Growing concerns regarding algorithmic transparency necessitate research into artificial intelligence (AI) explainability in organizational decision-making.
  • Employee job crafting, the proactive modification of job roles, is a key area influenced by workplace technologies.
  • Understanding the interplay between AI explainability and job crafting is crucial for effective human-AI collaboration.

Purpose of the Study:

  • To investigate the impact of perceived artificial intelligence (AI) explainability on employee approach and avoidance job crafting.
  • To examine the mediating roles of AI-oriented benefit and threat perceptions in the relationship between AI explainability and job crafting.
  • To explore the moderating effect of organizational ethical climate on these relationships.

Main Methods:

  • Analysis of multi-wave survey data from 278 medical staff.
  • Application of a dual-pathway model to assess the effects of perceived AI explainability.
  • Statistical examination of mediation by benefit/threat perceptions and moderation by ethical climate.

Main Results:

  • Perceived AI explainability positively influenced both approach and avoidance job crafting.
  • AI explainability enhanced the perception of AI-related benefits and reduced the perception of AI-related threats.
  • An ethical climate significantly strengthened the effects of AI explainability on benefit and threat perceptions.

Conclusions:

  • Perceived AI explainability is a significant driver of employee job crafting through altered perceptions of AI.
  • Organizational ethical climate plays a vital role in shaping the impact of AI explainability on employees.
  • Findings offer theoretical contributions to AI, job crafting, and organizational behavior research, with practical implications for managing AI in the workplace.