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Cited by 82Innovation and Knowledge ManagementInformation Technology Governance and StrategyArtificial Intelligence Applications

Business value appropriation roadmap for artificial intelligence

Mishra, Arindra Nath, Pani, Ashis Kumar·2021·VINE Journal of Information and Knowledge Management Systems
DOI 10.1108/vjikms-07-2019-0107
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Abstract

Purpose: 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/approach: The 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. Findings: This 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/implications: This 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 implications: This 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/value: This 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.

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Crossref · 10.1108/vjikms-07-2019-0107

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69 of 69 references verified0 citation errors · 0 not checkable

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  • Businesses adopting AI face new challenges, such as reducing the gap between intent and action.

    “As businesses adopt Artificial Intelligence (AI), they are faced with new value propositions, but they also have to deal with new challenges, such as reducing the gap between intent and action(Amershi et al., 2019; Enholm et al., 2021; Mishra & Pani, 2020).”

    From Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes (2023) · cites this paper as Mishra & Pani, 2020

  • Allowing the development of AI applications that are not under any supervision could be harmful.

    “Allowing the development of AI applications that are not under any supervision could be harmful (Chatterjee et al., 2020; Mishra & Pani, 2020);”

    From Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes (2023) · cites this paper as Mishra & Pani, 2020

  • Firms need to introduce robust AI systems and mitigate AI risks, emphasizing the importance of creating suitable AI governance practices.

    “Furthermore, firms need to introduce robust AI systems and mitigate AI risks, which emphasizes the importance of creating suitable AI governance practices.”

    From Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes (2023) · cites this paper as Mishra & Pani, 2020

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Authors
Mishra, A. N., & Pani, A. K.
Affiliations
Xavier School of Management (IN)
Corresponding author
Mishra, Arindra Nath
ORCID
Mishra, Arindra Nath
Venue
VINE Journal of Information and Knowledge Management Systems
Publisher
Emerald
Published
2020-04-06
Volume
51
Issue
3
Pages
353-368
ISSN
2059-5891 (ISSN-L)
DOI
10.1108/vjikms-07-2019-0107
OpenAlex
W3015530941
Cited by
82
References
68
Citations by year
2026: 10 · 2025: 15 · 2024: 24 · 2023: 18 · 2022: 9 · 2021: 5 · 2020: 1
FWCI
8.79
Type
journal article
Language
en
Open access
closed
Licence
www.emerald.com/insight/site-policies (tdm)
Locations
VINE Journal of Information and Knowledge Management Systems (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence, value appropriation, organizational learning, ambidexterity, exploration and exploitation, knowledge management, innovation strategy, AI strategy, competence development, value creation

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