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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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    1. Reddy Srinivas K. & Reinartz Werner, 2017. "Digital Transformation and Value Creation: Sea Change Ahead," GfK Marketing Intelligence Review, Sciendo, vol. 9(1), pages 10-17, May.
    2. Dhruv Grewal & John Hulland & Praveen K. Kopalle & Elena Karahanna, 2020. "The future of technology and marketing: a multidisciplinary perspective," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 1-8, January.
    3. Wang, Zhiying & Wang, Nianxin & Su, Xiang & Ge, Shilun, 2020. "An empirical study on business analytics affordances enhancing the management of cloud computing data security," International Journal of Information Management, Elsevier, vol. 50(C), pages 387-394.
    4. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    5. Williamson, Oliver E, 1979. "Transaction-Cost Economics: The Governance of Contractural Relations," Journal of Law and Economics, University of Chicago Press, vol. 22(2), pages 233-261, October.
    6. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    7. Shahriar Akter & Samuel Fosso Wamba, 2016. "Big data analytics in E-commerce: a systematic review and agenda for future research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 173-194, May.
    8. Vincenzo Morabito, 2015. "Big Data and Analytics," Springer Books, Springer, edition 127, number 978-3-319-10665-6, December.
    9. Sabina-Cristiana NECULA, 2017. "Deep Learning for Distribution Channels' Management," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 21(4), pages 73-84.
    10. Kenji Kushida & Jonathan Murray & John Zysman, 2015. "Cloud Computing: From Scarcity to Abundance," Journal of Industry, Competition and Trade, Springer, vol. 15(1), pages 5-19, March.
    11. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    12. Oprișan Oana & Tileagă Cosmin & Niţu Claudiu Valentin, 2017. "Artificial Intelligence - A New Field of Computer Science Which Any Business Should Consider," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 356-360, June.
    13. David Feinleib, 2014. "Big Data Bootcamp," Springer Books, Springer, number 978-1-4842-0040-7, December.
    14. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    15. Qing Cao & Dara G. Schniederjans & Marc Schniederjans, 2017. "Establishing the use of cloud computing in supply chain management," Operations Management Research, Springer, vol. 10(1), pages 47-63, June.
    16. Leonard Heilig & Eduardo Lalla-Ruiz & Stefan Voß, 2017. "Digital transformation in maritime ports: analysis and a game theoretic framework," Netnomics, Springer, vol. 18(2), pages 227-254, December.
    17. Akter, Shahriar & Bandara, Ruwan & Hani, Umme & Fosso Wamba, Samuel & Foropon, Cyril & Papadopoulos, Thanos, 2019. "Analytics-based decision-making for service systems: A qualitative study and agenda for future research," International Journal of Information Management, Elsevier, vol. 48(C), pages 85-95.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    5. 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.
    6. Dimitris Zissis, 2023. "Information sharing through digitalisation in decentralised supply chains," Annals of Operations Research, Springer, vol. 327(2), pages 763-778, August.
    7. 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.
    8. 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).

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