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Micro-foundations of Artificial Intelligence Adoption in Business: Making the Shift

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Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation (TDIT 2020)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 617))

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Abstract

Artificial Intelligence has gradually materialized as an independent research field within information systems and business domains. The new forms of work evolving in the business require substantial experimentation, lead generations, and real-time recommendations. This has driven the extraordinary increase in the adoption of Artificial Intelligence technologies. Even with front runner organizations across the domain envisioning the advantages of early adoption of Artificial Intelligence technologies, some organizations scuffle the adoption owing to various barriers. This paper analyzes the characteristics that lead to and factors inhibiting the adoption of Artificial Intelligence at the organization-level. Through this paper, we report the results of Twitter conversations involving small and medium scale organizations about their level of adoption of Artificial Intelligence and barriers that they are facing. Through this analysis, we provide insights and agenda to help the executives of small and medium scale organizations to prepare for the adoption of Artificial Intelligence.

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Authors and Affiliations

  1. Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, 110016, India

    Amit Kumar Kushwaha & Arpan Kumar Kar

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  1. Amit Kumar Kushwaha
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  2. Arpan Kumar Kar
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Correspondence to Amit Kumar Kushwaha .

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Editors and Affiliations

  1. Indian Institute of Management Tiruchira, Tiruchirappalli, India

    Sujeet K. Sharma

  2. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  3. Indian Institute of Management Nagpur, Nagpur, India

    Bhimaraya Metri

  4. University of Bradford, Bradford, UK

    Nripendra P. Rana

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Kushwaha, A.K., Kar, A.K. (2020). Micro-foundations of Artificial Intelligence Adoption in Business: Making the Shift. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds) Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020. IFIP Advances in Information and Communication Technology, vol 617. Springer, Cham. https://doi.org/10.1007/978-3-030-64849-7_22

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  • DOI: https://doi.org/10.1007/978-3-030-64849-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64848-0

  • Online ISBN: 978-3-030-64849-7

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