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| Published: March 18, 2025

The Application of AI to Facilitate Job Crafting Behavior in Employees

Saloni Arora

Student, Steinbeis-Hochschule Berlin, Germany Google Scholar More about the auther

DIP: 18.01.190.20251301

DOI: 10.25215/1301.190

ABSTRACT

While the application of artificial intelligence has been steadily gaining traction and commerciality, it has chiefly been used to foster a positive rapport with clientele, enhance customer satisfaction, and amplify consumer loyalty. The deployment of AI-driven technologies has certainly allowed firms to have an inflated bottom line however, the concentration on employees has been lacking. Consequently, the current research has employed a qualitative research design with thematic analysis as its investigative tool to explore insights into how AI can facilitate job crafting behaviors that will ultimately result in an improved employee experience. Key findings indicate that artificial intelligence can be instrumental in encouraging job crafting among employees in numerous ways. Firstly, under task crafting, by assuming control of repetitive and monotonous tasks, AI allows employees to engage in creative and innovative activities of their preference. AI, further, significantly shortens the time that a particular task requires to attain completion, allowing employees more time to engage in activities of their choice. Secondly, under skill crafting, AI emerged as a significant tool that facilitates the enhancement of existing design skills and the development of soft skills. AI also resulted as a helpful piece of technology that assists employees in avoiding design fixation. Under relationship crafting, AI led to an increase in social interactions at the workplace and assisted in building credibility and authority. Lastly, under cognitive crafting, AI has proven to be helpful in confidence building. Certain other significant themes emerged during the investigation and have been discussed later on.

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Responding Author Information

Saloni Arora @ saloniaroraprofessional@gmail.com

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Article Overview

ISSN 2348-5396

ISSN 2349-3429

18.01.190.20251301

10.25215/1301.190

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Published in   Volume 13, Issue 1, January-March, 2025