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Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics

Author

Listed:
  • Shahriar Akter

    (University of Wollongong)

  • Katina Michael

    (Arizona State University)

  • Muhammad Rajib Uddin

    (University of Wollongong)

  • Grace McCarthy

    (University of Wollongong)

  • Mahfuzur Rahman

    (University of Lincoln)

Abstract

This study explores digital business transformation through the lens of four emerging technology fields: artificial intelligence, blockchain, cloud and data analytics (i.e., ABCD). Specifically, the study investigates the operations and value propositions of these distinct but increasingly converging technologies. Due to the dynamic nature of innovation, the potential of this ABCD hybridization, integration, recombination and convergence has yet to be considered. Using a multidisciplinary approach, the findings of the study show wide-reaching and diverse applications among a variety of vertical sectors, presenting exploratory research avenues for future investigation. The study also highlights the practical implications of these new technologies.

Suggested Citation

  • Shahriar Akter & Katina Michael & Muhammad Rajib Uddin & Grace McCarthy & Mahfuzur Rahman, 2022. "Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics," Annals of Operations Research, Springer, vol. 308(1), pages 7-39, January.
    • Handle: RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03620-w
    DOI: 10.1007/s10479-020-03620-w
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    References listed on IDEAS

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    2. Yuan Wu & Ziwei Li, 2024. "Digital transformation, entrepreneurship, and disruptive innovation: evidence of corporate digitalization in China from 2010 to 2021," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    3. Ksenia V. Ekimova, 2023. "Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    4. Belhadi, Amine & Venkatesh, Mani & Kamble, Sachin & Abedin, Mohammad Zoynul, 2024. "Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain," International Journal of Production Economics, Elsevier, vol. 270(C).
    5. Bratanova, Alexandra & Pham, Hien & Mason, Claire & Hajkowicz, Stefan & Naughtin, Claire & Schleiger, Emma & Sanderson, Conrad & Chen, Caron & Karimi, Sarvnaz, 2022. "Differentiating artificial intelligence activity clusters in Australia," Technology in Society, Elsevier, vol. 71(C).
    6. Babucea Ana-Gabriela & Sirbu Octavian, 2023. "Cloud Computing For Business Digital Transformation," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 64-74, December.
    7. Bratanova, Alexandra & Pham, Hien & Mason, Claire & Hajkowicz, Stefan & Naughtin, Claire & Schleiger, Emma & Sanderson, Conrad & Chen, Caron & Karimi, Sarvnaz, 2022. "Differentiating artificial intelligence capability clusters in Australia," MPRA Paper 113237, University Library of Munich, Germany.
    8. Denis E. Matytsin & Valentin A. Dzedik & Galina A. Markeeva & Saglar B. Boldyreva, 2023. "“Smart” outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    9. Oludapo, Samson & Carroll, Noel & Helfert, Markus, 2024. "Why do so many digital transformations fail? A bibliometric analysis and future research agenda," Journal of Business Research, Elsevier, vol. 174(C).
    10. Dimitris Zissis, 2023. "Information sharing through digitalisation in decentralised supply chains," Annals of Operations Research, Springer, vol. 327(2), pages 763-778, August.

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