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  4. Unlocking Business Value with Generative AI: Balancing Co-Creation and Co-Destruction in Knowledge Work
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Unlocking Business Value with Generative AI: Balancing Co-Creation and Co-Destruction in Knowledge Work

Journal
Proceedings in the Thirty-Third European Conference on Information Systems (ECIS)
Type
conference paper
Date Issued
2025
Author(s)
Olivia Bruhin  
;
Philipp Alexander Ebel  
;
Ingrid Bauer-Hänsel  
Research Team
IWI6
Abstract
This study investigates the dual impact of Generative AI tools on business value in knowledge work, focusing on value co-creation and co-destruction. Drawing from three case studies across diverse industries and over a year of GenAI integration, we analyzed qualitative insights from 15 industry experts. We contextualized our insights using the value co-creation and co-destruction framework and the value discipline lens. Our findings reveal GenAI’s nuanced role in enhancing operational efficiency, enabling innovative solutions through supporting complex problem-solving and more creative employee engagement, and strengthening customer intimacy through mechanisms such as depth or availability of the interaction. However, risks such as over-reliance on AI, quality concerns, and the erosion of critical human judgment skills complicate its adoption. By balancing these perspectives and explaining the value creation logic, this study provides a nuanced understanding of GenAI’s role in shaping business value, offering actionable recommendations for effective and sustainable integration.
Language
English
Keywords
Generative AI
Knowledge Work
Value Co-Creation
Value Co-Destruction
Impact
HSG Classification
contribution to scientific community
Refereed
Yes
Pages
16
Event Title
Proceedings in the Thirty-Third European Conference on Information Systems (ECIS)
Event Location
Amman, Jordan
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/122890
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

File(s)
Thumbnail Image

open.access

Name

JML_1034.pdf

Size

463.5 KB

Format

Adobe PDF

Checksum (MD5)

7878a815332a0455e4fcda8575012f41

Support
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