Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Business value appropriation roadmap for artificial intelligence

Business value appropriation roadmap for artificial intelligence Artificial intelligence (AI) is deemed to have a significant impact as a value driver for the firms and help them get an operational and competitive advantage. However, there exists a lack of understanding of how to appropriate value from this nascent technology. This paper aims to discuss the approaches toward knowledge and innovation strategies to fill this gap.Design/methodology/approachThe discussion presents a review of the extant strategy and information systems literature to develop a strategy for organizational learning and value appropriation strategy for AI. A roadmap is drawn from ambidexterity and organizational learning theories.FindingsThis study builds the link between learning and ambidexterity to propose paths for exploration and exploitation of AI. The study presents an ambidextrous approach toward innovation concerning AI and highlights the importance of developing as well as reusing the resources.Research limitations/implicationsThis study integrates over three decades of strategy and information systems literature to answer questions about value creation from AI. The study extends the ambidexterity literature with contemporary.Practical implicationsThis study could help practitioners in making sense of AI and making use of AI. The roadmap could be used as a guide for the strategy development process.Originality/valueThis study analyzes a time-tested theoretical framework and integrates it with futuristic technology in a way that could reduce the gap between intent and action. It aims to simplify the organizational learning and competency development for an uncertain, confusing and new technology. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png VINE Journal of Information and Knowledge Management Systems Emerald Publishing

Business value appropriation roadmap for artificial intelligence

Download PDF
16 pages

Loading next page...
 
/lp/emerald-publishing/business-value-appropriation-roadmap-for-artificial-intelligence-A4HpJBAfNe

References (93)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2059-5891
DOI
10.1108/vjikms-07-2019-0107
Publisher site
See Article on Publisher Site

Abstract

Artificial intelligence (AI) is deemed to have a significant impact as a value driver for the firms and help them get an operational and competitive advantage. However, there exists a lack of understanding of how to appropriate value from this nascent technology. This paper aims to discuss the approaches toward knowledge and innovation strategies to fill this gap.Design/methodology/approachThe discussion presents a review of the extant strategy and information systems literature to develop a strategy for organizational learning and value appropriation strategy for AI. A roadmap is drawn from ambidexterity and organizational learning theories.FindingsThis study builds the link between learning and ambidexterity to propose paths for exploration and exploitation of AI. The study presents an ambidextrous approach toward innovation concerning AI and highlights the importance of developing as well as reusing the resources.Research limitations/implicationsThis study integrates over three decades of strategy and information systems literature to answer questions about value creation from AI. The study extends the ambidexterity literature with contemporary.Practical implicationsThis study could help practitioners in making sense of AI and making use of AI. The roadmap could be used as a guide for the strategy development process.Originality/valueThis study analyzes a time-tested theoretical framework and integrates it with futuristic technology in a way that could reduce the gap between intent and action. It aims to simplify the organizational learning and competency development for an uncertain, confusing and new technology.

Journal

VINE Journal of Information and Knowledge Management Systems – Emerald Publishing

Published: May 31, 2021

Keywords: Ambidexterity; Business transformation; Organizational learning; New product development; Artificial intelligence; E-business strategy

There are no references for this article.