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

In: Digital Business Transformation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Serge-Lopez Wamba-Taguimdje & Samuel Fosso Wamba & Jean Robert Kala Kamdjoug & Chris Emmanuel Tchatchouang Wanko, 2020. "Impact of Artificial Intelligence on Firm Performance: Exploring the Mediating Effect of Process-Oriented Dynamic Capabilities," Lecture Notes in Information Systems and Organization, in: Rocco Agrifoglio & Rita Lamboglia & Daniela Mancini & Francesca Ricciardi (ed.), Digital Business Transformation, pages 3-18, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-47355-6_1
    DOI: 10.1007/978-3-030-47355-6_1
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    Citations

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    Cited by:

    1. Redhwan Nour, 2022. "Enhancing the Logistics 4.0 Firms through Information Technology," Sustainability, MDPI, vol. 14(23), pages 1-26, November.
    2. ur Rehman, Attique & Shakeel Sadiq Jajja, Muhammad & Farooq, Sami, 2022. "Manufacturing planning and control driven supply chain risk management: A dynamic capability perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    3. Ioana Andreea Bogoslov & Sorina Corman & Anca Elena Lungu, 2024. "Perspectives on Artificial Intelligence Adoption for European Union Elderly in the Context of Digital Skills Development," Sustainability, MDPI, vol. 16(11), pages 1-34, May.

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