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Being digital and flexible to navigate the storm: How digital transformation enhances supply chain flexibility in turbulent environments

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  • Enrique, Daisy Valle
  • Lerman, Laura Visintainer
  • Sousa, Paulo Renato de
  • Benitez, Guilherme Brittes
  • Bigares Charrua Santos, Fernando M.
  • Frank, Alejandro G.

Abstract

The growing environmental business uncertainties have forced companies to focus on developing more flexible supply chains. Digital transformation has been considered a key means to achieving such flexibility, but the literature lacks empirical evidence about how digital technologies effectively contribute to it. Thus, this study aims to analyze how Smart Supply Chain (i.e., a supply chain enabled by digital transformation) contributes to supply chain flexibility and operational performance in environments surrounded by customer and supplier uncertainty. We adopt the organizational information-processing theory to explain the fit between information needs to reduce these uncertainties through more supply chain flexibility (sourcing, delivery, and manufacturing) and information capabilities provided by three main dimensions of the Smart Supply Chain (digital transformation strategy, digital base technologies, and digital front-end technologies). We relate these information-processing fit between Smart Supply Chain and flexibility with the boundary conditions of environmental uncertainty and operational performance improvements. Such relationships are analyzed through moderation and mediation regression tests based on 379 manufacturing companies surveyed. Our findings show that Smart Supply Chain has a statistical association with operational performance through the sequential mediating role of the three supply chain flexibility dimensions. We also found that environments with high customer uncertainty increase the use of base technologies (IoT, cloud, big data, AI, and blockchain) to reach delivery flexibility and support manufacturing flexibility. When companies face high supplier uncertainty, they use front-end technologies (i.e., robotics, 3D printing, simulation, and augmented reality) to increase sourcing flexibility. We show new advances in supply chain flexibility through digital transformation.

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  • Enrique, Daisy Valle & Lerman, Laura Visintainer & Sousa, Paulo Renato de & Benitez, Guilherme Brittes & Bigares Charrua Santos, Fernando M. & Frank, Alejandro G., 2022. "Being digital and flexible to navigate the storm: How digital transformation enhances supply chain flexibility in turbulent environments," International Journal of Production Economics, Elsevier, vol. 250(C).
  • Handle: RePEc:eee:proeco:v:250:y:2022:i:c:s092552732200250x
    DOI: 10.1016/j.ijpe.2022.108668
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    1. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    2. 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.
    3. Ying Liao, 2020. "An integrative framework of supply chain flexibility," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 69(6), pages 1321-1342, March.
    4. BLOME, Constantin & SCHOENHERR, Tobias & ECKSTEIN, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: a knowledge-based view," LIDAM Reprints CORE 2603, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Garavelli, A. Claudio, 2003. "Flexibility configurations for the supply chain management," International Journal of Production Economics, Elsevier, vol. 85(2), pages 141-153, August.
    6. Fernando F. Suarez & Michael A. Cusumano & Charles H. Fine, 1996. "An Empirical Study of Manufacturing Flexibility in Printed Circuit Board Assembly," Operations Research, INFORMS, vol. 44(1), pages 223-240, February.
    7. Abderahman Rejeb & John G. Keogh & Samuel Fosso Wamba & Horst Treiblmaier, 2021. "The potentials of augmented reality in supply chain management: a state-of-the-art review," Management Review Quarterly, Springer, vol. 71(4), pages 819-856, October.
    8. Wagner, Stephan M. & Grosse-Ruyken, Pan Theo & Erhun, Feryal, 2018. "Determinants of sourcing flexibility and its impact on performance," International Journal of Production Economics, Elsevier, vol. 205(C), pages 329-341.
    9. Thomé, Antonio Márcio T. & Scavarda, Luiz Felipe & Pires, Sílvio R.I. & Ceryno, Paula & Klingebiel, Katja, 2014. "A multi-tier study on supply chain flexibility in the automotive industry," International Journal of Production Economics, Elsevier, vol. 158(C), pages 91-105.
    10. Das, Sanchoy K. & Abdel-Malek, Layek, 2003. "Modeling the flexibility of order quantities and lead-times in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 171-181, August.
    11. 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.
    12. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    13. Jiguang Chen & Qiying Hu & Jing-Sheng Song, 2017. "Supply Chain Models with Mutual Commitments and Implications for Social Responsibility," Production and Operations Management, Production and Operations Management Society, vol. 26(7), pages 1268-1283, July.
    14. Jin, Yan & Vonderembse, Mark & Ragu-Nathan, T.S. & Smith, Joy Turnheim, 2014. "Exploring relationships among IT-enabled sharing capability, supply chain flexibility, and competitive performance," International Journal of Production Economics, Elsevier, vol. 153(C), pages 24-34.
    15. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    16. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
    17. Tang, Christopher & Tomlin, Brian, 2008. "The power of flexibility for mitigating supply chain risks," International Journal of Production Economics, Elsevier, vol. 116(1), pages 12-27, November.
    18. Shao, Xue-Feng & Liu, Wei & Li, Yi & Chaudhry, Hassan Rauf & Yue, Xiao-Guang, 2021. "Multistage implementation framework for smart supply chain management under industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    19. 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.
    20. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    21. Swafford, Patricia M. & Ghosh, Soumen & Murthy, Nagesh, 2008. "Achieving supply chain agility through IT integration and flexibility," International Journal of Production Economics, Elsevier, vol. 116(2), pages 288-297, December.
    22. Gosling, J. & Purvis, L. & Naim, M.M., 2010. "Supply chain flexibility as a determinant of supplier selection," International Journal of Production Economics, Elsevier, vol. 128(1), pages 11-21, November.
    23. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    24. Seebacher, Gottfried & Winkler, Herwig, 2015. "A capability approach to evaluate supply chain flexibility," International Journal of Production Economics, Elsevier, vol. 167(C), pages 177-186.
    25. Merschmann, Ulf & Thonemann, Ulrich W., 2011. "Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms," International Journal of Production Economics, Elsevier, vol. 130(1), pages 43-53, March.
    26. Liu, Yang & Zhang, Yufeng & Batista, Luciano & Rong, Ke, 2019. "Green operations: What's the role of supply chain flexibility?," International Journal of Production Economics, Elsevier, vol. 214(C), pages 30-43.
    27. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 2021. "Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    28. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).
    29. Nasiri, Mina & Ukko, Juhani & Saunila, Minna & Rantala, Tero, 2020. "Managing the digital supply chain: The role of smart technologies," Technovation, Elsevier, vol. 96.
    30. Chang, Pei-Chann & Lin, Yi-Kuei, 2010. "New challenges and opportunities in flexible and robust supply chain forecasting systems," International Journal of Production Economics, Elsevier, vol. 128(2), pages 453-456, December.
    31. Francas, David & Kremer, Mirko & Minner, Stefan & Friese, Markus, 2009. "Strategic process flexibility under lifecycle demand," International Journal of Production Economics, Elsevier, vol. 121(2), pages 427-440, October.
    32. Chan, Hing Kai & Griffin, James & Lim, Jia Jia & Zeng, Fangli & Chiu, Anthony S.F., 2018. "The impact of 3D Printing Technology on the supply chain: Manufacturing and legal perspectives," International Journal of Production Economics, Elsevier, vol. 205(C), pages 156-162.
    33. Delic, Mia & Eyers, Daniel R., 2020. "The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry," International Journal of Production Economics, Elsevier, vol. 228(C).
    34. Erhan Kesen, Saadettin & Kanchanapiboon, Atipol & Das, Sanchoy K., 2010. "Evaluating supply chain flexibility with order quantity constraints and lost sales," International Journal of Production Economics, Elsevier, vol. 126(2), pages 181-188, August.
    35. Marta Pérez Pérez & Ana María Serrano Bedia & María Concepción López Fernández, 2016. "A review of manufacturing flexibility: systematising the concept," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3133-3148, May.
    36. Narayanamurthy, Gopalakrishnan & Tortorella, Guilherme, 2021. "Impact of COVID-19 outbreak on employee performance – Moderating role of industry 4.0 base technologies," International Journal of Production Economics, Elsevier, vol. 234(C).
    37. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    38. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    39. Dalenogare, Lucas Santos & Le Dain, Marie-Anne & Benitez, Guilherme B. & Ayala, Néstor F. & Frank, Alejandro G., 2022. "Multichannel digital service delivery and service ecosystems: The role of data integration within Smart Product-Service Systems," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    40. 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).
    41. Chen, Hansong & Tian, Zhen, 2022. "Environmental uncertainty, resource orchestration and digital transformation: A fuzzy-set QCA approach," Journal of Business Research, Elsevier, vol. 139(C), pages 184-193.
    42. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    43. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    44. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    45. Fan, Huan & Li, Gang & Sun, Hongyi & Cheng, T.C.E., 2017. "An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences," International Journal of Production Economics, Elsevier, vol. 185(C), pages 63-75.
    46. Jafari, Hamid & Eslami, Mohammad H. & Paulraj, Antony, 2022. "Postponement and logistics flexibility in retailing: The moderating role of logistics integration and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 243(C).
    47. Frank, Alejandro G. & Mendes, Glauco H.S. & Ayala, Néstor F. & Ghezzi, Antonio, 2019. "Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 341-351.
    48. Donald Gerwin, 1993. "Manufacturing Flexibility: A Strategic Perspective," Management Science, INFORMS, vol. 39(4), pages 395-410, April.
    49. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    50. Gupta, Yash P. & Goyal, Sameer, 1989. "Flexibility of manufacturing systems: Concepts and measurements," European Journal of Operational Research, Elsevier, vol. 43(2), pages 119-135, November.
    51. Rong, Ke & Sun, Hui & Li, Dun & Zhou, Di, 2021. "Matching as Service Provision of Sharing Economy Platforms: An Information Processing Perspective," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    52. Agi, Maher A.N. & Jha, Ashish Kumar, 2022. "Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption," International Journal of Production Economics, Elsevier, vol. 247(C).
    53. Rohit Sharma & Anjali Shishodia & Angappa Gunasekaran & Hokey Min & Ziaul Haque Munim, 2022. "The role of artificial intelligence in supply chain management: mapping the territory," International Journal of Production Research, Taylor & Francis Journals, vol. 60(24), pages 7527-7550, December.
    54. Blome, Constantin & Schoenherr, Tobias & Eckstein, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 307-316.
    55. Yu, Kangkang & Cadeaux, Jack & Luo, Ben Nanfeng, 2015. "Operational flexibility: Review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 190-202.
    56. Shekarian, Mansoor & Reza Nooraie, Seyed Vahid & Parast, Mahour Mellat, 2020. "An examination of the impact of flexibility and agility on mitigating supply chain disruptions," International Journal of Production Economics, Elsevier, vol. 220(C).
    57. 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).
    58. Han, Jeong Hugh & Wang, Yingli & Naim, Mohamed, 2017. "Reconceptualization of information technology flexibility for supply chain management: An empirical study," International Journal of Production Economics, Elsevier, vol. 187(C), pages 196-215.
    59. Schneeweiss, Ch. & Schneider, H., 1999. "Measuring and designing flexibility as a generalized service degree," European Journal of Operational Research, Elsevier, vol. 112(1), pages 98-106, January.
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