Value Drivers of Artificial Intelligence

Timo Phillip Böttcher, Michael Weber, Jörg Weking, Andreas Hein, Helmut Krcmar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Artificial intelligence (AI) holds great potential for firms to create new business models and gain competitive advantages. While some pioneers are effectively leveraging AI, most firms are struggling to capitalize on the opportunities for value creation. Previous research has highlighted the performance benefits, success factors, and challenges of adopting AI. However, the value drivers of AI, specifically regarding how AI creates value, remain unclear and need exploration so that firms can adapt their value creation to leverage the potential. To clarify how AI creates value, we conduct a case survey of 61 firms to identify six value drivers: efficiency, novelty, knowledge from data, ecosystem, personalization, and human resemblance. We discuss how these value drivers differ from other digital technologies. For practitioners, we provide valuable insights into the business value of AI and business model (BM) design opportunities to build on.

Original languageEnglish
Title of host publication28th Americas Conference on Information Systems, AMCIS 2022
PublisherAssociation for Information Systems
ISBN (Electronic)9781958200001
StatePublished - 2022
Event28th Americas Conference on Information Systems, AMCIS 2022 - Minneapolis, United States
Duration: 10 Aug 202214 Aug 2022

Publication series

Name28th Americas Conference on Information Systems, AMCIS 2022

Conference

Conference28th Americas Conference on Information Systems, AMCIS 2022
Country/TerritoryUnited States
CityMinneapolis
Period10/08/2214/08/22

Keywords

  • Artificial intelligence
  • business model
  • case survey
  • value creation

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