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Impact of Artificial Intelligence on Firm Performance: Exploring the Mediating Effect of Process-Oriented Dynamic Capabilities

Serge-Lopez Wamba-Taguimdje (), Samuel Fosso Wamba (), Jean Robert Kala Kamdjoug () and Chris Emmanuel Tchatchouang Wanko ()
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Serge-Lopez Wamba-Taguimdje: Catholic University of Central Africa, GRIAGES
Samuel Fosso Wamba: Toulouse Business School
Jean Robert Kala Kamdjoug: Catholic University of Central Africa, GRIAGES
Chris Emmanuel Tchatchouang Wanko: Catholic University of Central Africa, GRIAGES

A chapter in Digital Business Transformation, 2020, pp 3-18 from Springer

Abstract: Abstract Organizations still dependent on information technology innovation have already adopted the in AI subfields and techniques to adapt or disrupt the market while improvement their performance. Other research has examined the relationship between computing capabilities and organizational performance, with a mediating effect on dynamic process-driven capabilities. We extend this flow of literature and examine the same relationship by taking into account the capabilities of artificial intelligence (AI). Our conceptual framework is based on the paradox of productivity, resource-based view and dynamic capabilities. We relied on an in-depth review of 150 case studies collected on websites related to the integration of AI into organizations. Our study highlights the added value of AI capabilities, in terms of organizational performance, with a focus on improving organizational performance (financial, marketing, and administrative). Our analyses also show that companies improve their performance when they use capabilities of AI to reconfigure their dynamic process-oriented capabilities.

Keywords: Capabilities of AI; Process-Oriented Dynamic Capabilities; Firm Performance (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-47355-6_1

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DOI: 10.1007/978-3-030-47355-6_1

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