Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Dynamic Capabilities to Manage Generative Artificial Intelligence in Digital Transformation Efforts
Details

Dynamic Capabilities to Manage Generative Artificial Intelligence in Digital Transformation Efforts

Journal
WI Conference Proceeedings
Type
conference paper
Date Issued
2024-09-16
Author(s)
Höhener, Daria  
Abstract
Incumbent firms face significant challenges due to rapid technological advancements, notably through generative artificial intelligence (genAI). By interviewing experienced digital leaders in a multiple-case study involving five organizations, this study elucidates eleven microfoundations, also referred to as low-level dynamic capabilities (DC). The specific focus centers on sensing, seizing, and transforming within the context of digital transformation (DT) efforts, offering insights into how organizations can navigate and leverage genAI to enhance their DT strategies. The identified microfoundations encompass 1) empowerment and knowledge utilization, 2) innovation ecosystem engagement, 3) organizational learning and openness, 4) interdisciplinary collaboration, 5) learning-driven innovation network, 6) organizational agility, 7) strategic leadership, 8) alignment and governance enhancement, 9) adaptive and informed culture, 10) organisational resilience, and 11) synergy creation. These foundations collectively provide a framework for leveraging genAI effectively from an organizational perspective.
Language
English
Keywords
Dynamic Capabilities
Generative AI
Artificial Intelligence
Digital Transformation
Multiple Case Study
Official URL
https://aisel.aisnet.org/wi2024/1/
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/121067
Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify