TY - GEN
T1 - Value Drivers of Artificial Intelligence
AU - Böttcher, Timo Phillip
AU - Weber, Michael
AU - Weking, Jörg
AU - Hein, Andreas
AU - Krcmar, Helmut
N1 - Publisher Copyright:
© 2022 28th Americas Conference on Information Systems, AMCIS 2022. All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - business model
KW - case survey
KW - value creation
UR - http://www.scopus.com/inward/record.url?scp=85187848053&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85187848053
T3 - 28th Americas Conference on Information Systems, AMCIS 2022
BT - 28th Americas Conference on Information Systems, AMCIS 2022
PB - Association for Information Systems
T2 - 28th Americas Conference on Information Systems, AMCIS 2022
Y2 - 10 August 2022 through 14 August 2022
ER -