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Unleashing supply chain agility: Leveraging data network effects for digital transformation

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  • Wu, Lin
  • Huang, Jimmy
  • Wang, Miao
  • Kumar, Ajay

Abstract

The global manufacturing supply chain is undergoing a digital transformation (DT) powered by various digital technologies. In both stable and turbulent environments, DT helps safeguard supply chain performance by enhancing supply chain agility. While research on the use of digital technologies and their impacts on supply chains is growing, there is a lack of an overarching theoretical lens to synthesize their diverse functionalities, effects, and benefits. To address this gap, we adapt the concept of the data network effect to the supply chain context and propose that DT improves supply chain performance by enhancing supply chain resilience (SCRes) and robustness (SCRob) capabilities. To validate our hypotheses, we conducted a large-scale survey for data collection and performed Partial Least Squares Structural Equation Modelling (PLS-SEM) for data analysis. The results confirm the positive effect of DT on supply chain performance and the mediating roles of SCRob and SCRes. Our study contributes to the ongoing discussion on DT in the context of supply chains by introducing a novel theoretical perspective on the supply chain data network effect.

Suggested Citation

  • Wu, Lin & Huang, Jimmy & Wang, Miao & Kumar, Ajay, 2024. "Unleashing supply chain agility: Leveraging data network effects for digital transformation," International Journal of Production Economics, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:proeco:v:277:y:2024:i:c:s0925527324002597
    DOI: 10.1016/j.ijpe.2024.109402
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    1. Hartley, Janet L. & Sawaya, William J., 2019. "Tortoise, not the hare: Digital transformation of supply chain business processes," Business Horizons, Elsevier, vol. 62(6), pages 707-715.
    2. Yangyan Shi & V.G. Venkatesh & M. Venkatesh & S. Fosso Wamba & B. Wang, 2023. "Guest Editorial: Digital Transformation in Supply Chains: Challenges, Strategies and Implementations," Post-Print hal-04458221, HAL.
    3. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2020. "Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(C).
    4. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81032, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    6. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
    7. Haftor, Darek M. & Costa-Climent, Ricardo & Ribeiro Navarrete, Samuel, 2023. "A pathway to bypassing market entry barriers from data network effects: A case study of a start-up’s use of machine learning," Journal of Business Research, Elsevier, vol. 168(C).
    8. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    9. Jonathon Mackay & Albert Munoz & Matthew Pepper, 2020. "Conceptualising redundancy and flexibility towards supply chain robustness and resilience," Journal of Risk Research, Taylor & Francis Journals, vol. 23(12), pages 1541-1561, December.
    10. Robert L. Bray & Juan Camilo Serpa & Ahmet Colak, 2019. "Supply Chain Proximity and Product Quality," Management Science, INFORMS, vol. 65(9), pages 4079-4099, September.
    11. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    12. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    13. Chin, Tachia & Wang, Wannan & Yang, Meng & Duan, Yunlong & Chen, Yantai, 2021. "The moderating effect of managerial discretion on blockchain technology and the firms’ innovation quality: Evidence from Chinese manufacturing firms," International Journal of Production Economics, Elsevier, vol. 240(C).
    14. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    15. Mohamed Ben-Daya & Elkafi Hassini & Zied Bahroun, 2019. "Internet of things and supply chain management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4719-4742, August.
    16. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    17. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    18. Feliciano-Cestero, María M. & Ameen, Nisreen & Kotabe, Masaaki & Paul, Justin & Signoret, Mario, 2023. "Is digital transformation threatened? A systematic literature review of the factors influencing firms’ digital transformation and internationalization," Journal of Business Research, Elsevier, vol. 157(C).
    19. Haftor, Darek M. & Costa Climent, Ricardo & Lundström, Jenny Eriksson, 2021. "How machine learning activates data network effects in business models: Theory advancement through an industrial case of promoting ecological sustainability," Journal of Business Research, Elsevier, vol. 131(C), pages 196-205.
    20. Sachin Kamble & Angappa Gunasekaran & Nachiappan Subramanian & Abhijeet Ghadge & Amine Belhadi & Mani Venkatesh, 2021. "Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industry," Post-Print hal-04582491, HAL.
    21. Nasiri, Mina & Ukko, Juhani & Saunila, Minna & Rantala, Tero, 2020. "Managing the digital supply chain: The role of smart technologies," Technovation, Elsevier, vol. 96.
    22. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    23. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    24. Gerd J. Hahn, 2020. "Industry 4.0: a supply chain innovation perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1425-1441, March.
    25. Jamal El Baz & Salomée Ruel, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains' resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," Post-Print hal-04809692, HAL.
    26. Wong, Christina W.Y. & Lirn, Taih-Cherng & Yang, Ching-Chiao & Shang, Kuo-Chung, 2020. "Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization," International Journal of Production Economics, Elsevier, vol. 226(C).
    27. Saarikko, Ted & Westergren, Ulrika H. & Blomquist, Tomas, 2020. "Digital transformation: Five recommendations for the digitally conscious firm," Business Horizons, Elsevier, vol. 63(6), pages 825-839.
    28. Juan Manuel Maqueira & José Moyano-Fuentes & Sebastián Bruque, 2019. "Drivers and consequences of an innovative technology assimilation in the supply chain: cloud computing and supply chain integration," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2083-2103, April.
    29. Smaïl Benzidia & Naouel Makaoui & Omar Bentahar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Post-Print hal-03028127, HAL.
    30. Vu Minh Ngo & Huan Huu Nguyen & Hiep Cong Pham & Hung Manh Nguyen & Phuc Vinh Dang Truong, 2023. "Digital supply chain transformation: effect of firm’s knowledge creation capabilities under COVID-19 supply chain disruption risk," Operations Management Research, Springer, vol. 16(2), pages 1003-1018, June.
    31. Yu, Wantao & Zhao, Gen & Liu, Qi & Song, Yongtao, 2021. "Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    32. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82423, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    33. Gu, Minhao & Yang, Lu & Huo, Baofeng, 2021. "The impact of information technology usage on supply chain resilience and performance: An ambidexterous view," International Journal of Production Economics, Elsevier, vol. 232(C).
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