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Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review

Author

Listed:
  • Anas Iftikhar

    (Lancaster University Management School, Lancaster University)

  • Imran Ali

    (Central Queensland University)

  • Ahmad Arslan

    (University of Oulu)

  • Shlomo Tarba

    (University of Birmingham)

Abstract

In recent times, the literature has seen considerable growth in research at the intersection of digital innovation, data analytics, and supply chain resilience. While the number of studies on the topic has been burgeoning, due to the absence of a comprehensive literature review, it remains unclear what aspects of the subject have already been investigated and what are the avenues for impactful future research. Integrating bibliometric analysis with a systematic review approach, this paper offers the review of 262 articles at the nexus of innovative technologies, data analytics, and supply chain resiliency. The analysis uncovers the critical research clusters, the evolution of research over time, knowledge trajectories and methodological development in the area. Our thorough analysis enriches contemporary knowledge on the subject by consolidating the dispersed literature on the significance of innovative technologies, data analytics and supply chain resilience thereby recognizing major research clusters or domains and fruitful paths for future research. The review also helps improve practitioners’ awareness of the recent research on the topic by recapping key findings of a large amount of literature in one place.

Suggested Citation

  • Anas Iftikhar & Imran Ali & Ahmad Arslan & Shlomo Tarba, 2024. "Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review," Annals of Operations Research, Springer, vol. 333(2), pages 825-848, February.
    • Handle: RePEc:spr:annopr:v:333:y:2024:i:2:d:10.1007_s10479-022-04765-6
    DOI: 10.1007/s10479-022-04765-6
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    1. Jeyaraj, Anand & Dwivedi, Yogesh K., 2020. "Meta-analysis in information systems research: Review and recommendations," International Journal of Information Management, Elsevier, vol. 55(C).
    2. Rameshwar Dubey & Angappa Gunasekaran & David J. Bryde & Yogesh K. Dwivedi & Thanos Papadopoulos, 2020. "Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3381-3398, June.
    3. Min, Hokey, 2019. "Blockchain technology for enhancing supply chain resilience," Business Horizons, Elsevier, vol. 62(1), pages 35-45.
    4. Ahmad Arslan & Cary Cooper & Zaheer Khan & Ismail Golgeci & Imran Ali, 2021. "Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(1), pages 75-88, July.
    5. Wang, Yingli & Singgih, Meita & Wang, Jingyao & Rit, Mihaela, 2019. "Making sense of blockchain technology: How will it transform supply chains?," International Journal of Production Economics, Elsevier, vol. 211(C), pages 221-236.
    6. Bo Yan & Xiaoxu Chen & Qin Yuan & Xiaotai Zhou, 2020. "Sustainability in fresh agricultural product supply chain based on radio frequency identification under an emergency," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1343-1361, December.
    7. Paul, Justin & Criado, Alex Rialp, 2020. "The art of writing literature review: What do we know and what do we need to know?," International Business Review, Elsevier, vol. 29(4).
    8. Akter, Shahriar & Motamarri, Saradhi & Hani, Umme & Shams, Riad & Fernando, Mario & Mohiuddin Babu, Mujahid & Ning Shen, Kathy, 2020. "Building dynamic service analytics capabilities for the digital marketplace," Journal of Business Research, Elsevier, vol. 118(C), pages 177-188.
    9. Dmitry Ivanov & Alexandre Dolgui, 2019. "Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 5119-5136, August.
    10. Iftikhar, Anas & Purvis, Laura & Giannoccaro, Ilaria, 2021. "A meta-analytical review of antecedents and outcomes of firm resilience," Journal of Business Research, Elsevier, vol. 135(C), pages 408-425.
    11. Ali, Imran & Arslan, Ahmad & Chowdhury, Maruf & Khan, Zaheer & Tarba, Shlomo Y., 2022. "Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective," Journal of Business Research, Elsevier, vol. 141(C), pages 1-12.
    12. Capaldo, Antonio & Giannoccaro, Ilaria, 2015. "How does trust affect performance in the supply chain? The moderating role of interdependence," International Journal of Production Economics, Elsevier, vol. 166(C), pages 36-49.
    13. Chen, Liwei & Dui, Hongyan & Zhang, Chi, 2020. "A resilience measure for supply chain systems considering the interruption with the cyber-physical systems," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    14. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    15. Raut, Rakesh D. & Mangla, Sachin Kumar & Narwane, Vaibhav S. & Dora, Manoj & Liu, Mengqi, 2021. "Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    16. Akter, Shahriar & Gunasekaran, Angappa & Wamba, Samuel Fosso & Babu, Mujahid Mohiuddin & Hani, Umme, 2020. "Reshaping competitive advantages with analytics capabilities in service systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    17. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    18. Kamble, Sachin S. & Gunasekaran, Angappa & Sharma, Rohit, 2020. "Modeling the blockchain enabled traceability in agriculture supply chain," International Journal of Information Management, Elsevier, vol. 52(C).
    19. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    20. Oscar Rodríguez-Espíndola & Soumyadeb Chowdhury & Ahmad Beltagui & Pavel Albores, 2020. "The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4610-4630, July.
    21. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    22. Ziaul Haque Munim & Mariia Dushenko & Veronica Jaramillo Jimenez & Mohammad Hassan Shakil & Marius Imset, 2020. "Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(5), pages 577-597, July.
    23. George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
    24. Deepa Mishra & Angappa Gunasekaran & Thanos Papadopoulos & Stephen J. Childe, 2018. "Big Data and supply chain management: a review and bibliometric analysis," Annals of Operations Research, Springer, vol. 270(1), pages 313-336, November.
    25. Song Xu & Xiaotong Zhang & Lipan Feng & Wenting Yang, 2020. "Disruption risks in supply chain management: a literature review based on bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3508-3526, June.
    26. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2013. "Multi-disciplinary analysis of interfaces "Supply Chain Event Management - RFID - control theory"," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 8(1/2/3), pages 52-66.
    27. Ding, Li & Lam, Hugo K.S. & Cheng, T.C.E. & Zhou, Honggeng, 2018. "A review of short-term event studies in operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 200(C), pages 329-342.
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