Abstract
From destroying mechanized textile machines to algoactivism, from the first to the fourth and fifth industrial revolutions, technology has long been a driver of counterproductive work behaviors (CWBs). In this chapter, we examine the nature of CWBs in a world of AI technologies. We outline how AI can harm workers’ interests, before discussing the drivers and outcomes of CWBs in the context of technology use. We then examine emerging forms of CWBs, where AI can be used as a tool for, but also become a target of, deviant behavior. As AI can negatively affect workers, we also discuss how CWBs may constitute constructive, adaptive responses to its use. Finally, we show how AI can be used to detect counterproductive employee behaviors which can, ironically, then create the conditions for CWBs. To conclude, we offer practical advice on AI implementation to minimize the likelihood of CWBs and outline future research opportunities.
| Original language | English |
|---|---|
| Title of host publication | Handbook of counterproductive work behavior |
| Editors | Reeshad S. Dalal, Jaclyn M. Jensen, Sandy Lim |
| Place of Publication | Cheltenham |
| Publisher | Edward Elgar Publishing |
| Chapter | 32 |
| Pages | 576-595 |
| Number of pages | 20 |
| ISBN (Electronic) | 9781035306671, 9781035380084 |
| ISBN (Print) | 9781035306664 |
| DOIs | |
| Publication status | Published - 2025 |
Keywords
- Artificial intelligence
- Counterproductive work behavior
- Future of work
- Ethical AI
- Technology and work
- AI and work
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