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  4. Prompting for Perks: Enhancing Generative AI-Enabled Job Crafting in Knowledge Work
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Prompting for Perks: Enhancing Generative AI-Enabled Job Crafting in Knowledge Work

Journal
Australasian Conference on Information Systems (ACIS)
Type
conference paper
Date Issued
2024-12-06
Author(s)
Eva Ritz  
;
Joël Mühlheim
;
Freise Leonie Rebecca
;
Li Mahei Manhai  
Research Team
IWI6
Abstract
The increasing use of Generative AI (GAI) has captivated industries seeking to enhance productivity, particularly among white collar workers. Drawing upon job crafting theory from occupational psychology, prior research suggests that GAI applications can also enhance employee well being by modifying their work environment for self perceived benefits. However, the conditions facilitating job crafting behaviours in this context remain underexplored. This study posits that prompt engineering can promote job crafting behaviour. To explore this, we conducted a between subjects online experiment, manipulating a prompt support intervention through worked examples. Additionally, we examined the moderating role of participants' AI literacy in influencing the effectiveness of the prompt intervention. A pre test with 42 participants indicated that prompt support can increase GAI enabled job crafting, but only for those with high AI literacy. The findings underscore the importance of AI literacy and prompt engineering in optimising job crafting behaviour, advocating for organisational training programs to support these skills.
Language
English
Keywords
Generative AI
ChatGPT
Job Crafting
Prompt Support
AI Literacy
HSG Classification
contribution to scientific community
Refereed
Yes
Event Title
Australasian Conference on Information Systems (ACIS)
Event Location
Canberra, Australia
Event Date
04.-06.12.2024
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/121508
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

File(s)
Thumbnail Image
Name

JML_1021.pdf

Size

496.35 KB

Format

Adobe PDF

Checksum (MD5)

8fc579f6e8ed397f36e5840630449fc6

Support
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