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Opportunity and Threat in Parallel: How Artificial Intelligence Application Predicts Employees’ Proactive Learning Behavior Through Parallel Primary Appraisals

Truvace record
TRV-2026-2520raw data (JSON)
Version
v1Published
First published
Evidence type
Observational study
Sources
1 sourcePeer-reviewed
sha256
8133c082b9af…check it

As organizations embed artificial intelligence (AI) in everyday work, understanding how employees respond has become a pressing question for human resource management. Drawing on the cognitive appraisal theory of stress, this study examines how AI application relates to employees' proactive learning behavior through two parallel primary appraisals: opportunity perception and threat perception. It also tests proactive personality both as a direct predictor and as a moderator at two theoretically distinct location…

56Gain side

How the two sides scoreClose call

54Problem side

The gain

In a four-wave study of 420 Chinese employees, heavier AI use at work was linked to more self-initiated skill learning (total association 0.235), mainly among workers who saw AI as an opportunity.

The problem

In the same study, employees who saw AI as a threat to their jobs did less proactive learning (indirect association -0.140), though this pathway weakened under the strictest statistical adjustment.

A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.

What the scores mean

G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.

P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.

What this doesn’t fix

All measures were employee self-reports, the design cannot establish causation or direction of influence, the sample came from a single cultural context, and the AI measure could not separate generative AI from other AI types.

Sources

1 on file
  1. Behavioral Sciencesdoi:10.3390/bs16091713
    Peer-reviewed2026-09-21

Cite this record

v1

Truvace Impact Record TRV-2026-2520, v1: “Opportunity and Threat in Parallel: How Artificial Intelligence Application Predicts Employees’ Proactive Learning Behavior Through Parallel Primary Appraisals.” Truvace, 2026-11-12. /record/TRV-2026-2520 (accessed on the day you copy it). sha256 8133c082b9af971c…

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