Value Drivers of Artificial Intelligence Completed Research
Type
conference paper
Date Issued
2022
Author(s)
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.
Language
English (United States)
Keywords
Artificial intelligence
value creation
business model
case survey
HSG Classification
contribution to scientific community
Refereed
Yes
Event Title
Americas Conference on Information Systems
Event Location
Minneapolis, US
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
Boettcher et al._2022 AMCIS.pdf
Size
339.24 KB
Format
Adobe PDF
Checksum (MD5)
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