Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms

References

• Bag, S., G Yadav, L.C Wood, P Dhamija, and S Joshi. 2020. “Industry 4.0 and the Circular Economy: Resource Melioration in Logistics.” Resources Policy 68. doi: 10.1016/j.resourpol.2020.101776
   Web of Science ®Google Scholar
• Bai, C., and J. Sarkis. 2017. “Improving Green Flexibility Through Advanced Manufacturing Technology Investment: Modeling the Decision Process.” International Journal of Production Economics 188: 86–104. doi: 10.1016/j.ijpe.2017.03.013
   Web of Science ®Google Scholar
• Bai, C., J. Sarkis, F. Yin, and Y. Dou. 2020. “Sustainable Supply Chain Flexibility and Its Relationship to Circular Economy-Target Performance.” International Journal of Production Research 58 (19): 5893–5910. doi: 10.1080/00207543.2019.1661532
   Web of Science ®Google Scholar
• Barbeito-Caamaño, A., and R. Chalmeta. 2020. “Using Big Data to Evaluate Corporate Social Responsibility and Sustainable Development Practices.” Corporate Social Responsibility and Environmental Management 27 (6): 2831–2848. doi: 10.1002/csr.2006
   Web of Science ®Google Scholar
• Barlette, Y., and P. Baillette. 2020. “Big Data Analytics in Turbulent Contexts: Towards Organizational Change for Enhanced Agility.” Production Planning & Control. https://doi.org/10.1080/09537287.2020.1810755.
   Web of Science ®Google Scholar
• Belhadi, A., S. S. Kamble, K. Zkik, A. Cherrafi, and F. E. Touriki. 2020. “The Integrated Effect of Big Data Analytics, Lean Six Sigma and Green Manufacturing on the Environmental Performance of Manufacturing Companies: The Case of North Africa.” Journal of Cleaner Production 252: 119903. doi: 10.1016/j.jclepro.2019.119903
   Web of Science ®Google Scholar
• Belhadi, A., K. Zkik, A. Cherrafi, S. Yusof, and S. El fezazi. 2019. “Understanding the Capabilities of Big Data Analytics for Manufacturing Process: Insights from Literature Review and Multiple Case Study.” Computers & Industrial Engineering 137: 106099. https://doi.org/10.1016/j.cie.2019.106099.
   Web of Science ®Google Scholar
• Carter, C. R., and D. S. Rogers. 2008. “A Framework of Sustainable Supply Chain Management: Moving Toward New Theory.” International Journal of Physical Distribution and Logistics Management 38 (5): 360–387. doi: 10.1108/09600030810882816
   Web of Science ®Google Scholar
• Chirra, S., R. D. Raut, and D. Kumar. 2020. “Barriers to Sustainable Supply Chain Flexibility During Sales Promotions.” International Journal of Production Research. https://doi.org/10.1080/00207543.2020.1832272.
   Web of Science ®Google Scholar
• Choi, T., S. W. Wallace, and Y. Wang. 2018. “Big Data Analytics in Operations Management.” Production and Operations Management 27 (10): 1868–1883. doi: 10.1111/poms.12838
   Web of Science ®Google Scholar
• Corbett, C. J. 2018. “How Sustainable is Big Data.” Production and Operations Management 27 (9): 1685–1695. doi: 10.1111/poms.12837
   Web of Science ®Google Scholar
• Esmaeilikia, M., B. Fahimnia, J. Sarkis, K. Govindan, A. Kumar, and J. Mo. 2016. “Tactical Supply Chain Planning Models with Inherent Flexibility: Definition and Review.” Annals of Operations Research 244 (2): 407–427. doi: 10.1007/s10479-014-1544-3
   Web of Science ®Google Scholar
• Fernando, Y., R. R. Chidambaram, and I. S. Wahyuni-TD. 2018. “The Impact of Big Data Analytics and Data Security Practices on Service Supply Chain Performance.” Benchmarking: An International Journal 25 (9): 4009–4034. doi: 10.1108/BIJ-07-2017-0194
   Web of Science ®Google Scholar
• Gawankar, S. A., A. Gunasekaran, and S. Kamble. 2019. “A Study on Investments in the Big Data-Driven Supply Chain, Performance Measures and Organisational Performance in Indian Retail 4.0 Context.” International Journal of Production Research 58 (5): 1574–1593. doi: 10.1080/00207543.2019.1668070
   Web of Science ®Google Scholar
• Genovese, A., A. A. Acquaye, A. Figueroa, and S. L. Koh. 2017. “Sustainable Supply Chain Management and the Transition Towards a Circular Economy: Evidence and Some Applications.” Omega 66: 344–357. doi: 10.1016/j.omega.2015.05.015
   Web of Science ®Google Scholar
• Gunasekaran, A., T. Papadopoulos, R. Dubey, S. F. Wamba, S. J. Childe, B. Hazen, and S. Akter. 2017. “Big Data and Predictive Analytics for Supply Chain and Organizational Performance.” Journal of Business Research 70: 308–317. doi: 10.1016/j.jbusres.2016.08.004
   Web of Science ®Google Scholar
• Gupta, S., H. Chen, B. T. Hazen, S. Kaur, and E. D. R. Santibañez Gonzale. 2019. “Circular Economy and Big Data Analytics: A Stakeholder Perspective.” Technological Forecasting and Social Change 144: 466–474. doi: 10.1016/j.techfore.2018.06.030
   Web of Science ®Google Scholar
• Gupta, S., S. Modgil, and A. Gunasekaran. 2020. “Big Data in Lean Six Sigma: A Review and Further Research Directions.” International Journal of Production Research 58 (3): 947–969. doi: 10.1080/00207543.2019.1598599
   Web of Science ®Google Scholar
• Gupta, S., X. Qian, B. Bhushan, and Z. Luo. 2019. “Role of Cloud ERP and Big Data on Firm Performance: a Dynamic Capability View Theory Perspective.” Management Decision 57 (8): 1857–1882. doi: 10.1108/MD-06-2018-0633
   Web of Science ®Google Scholar
• Hair, J. F., W. C. Black, B. J. Babin, and R. E. Anderson. 2010. Multivariate Data Analysis. 7th ed. Upper Saddle River, NJ: Pearson.
   Google Scholar
• Hayes, A. F. 2017. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. London: Guilford Publications.
   Google Scholar
• Hendry, L. C., M. Stevenson, J. MacBryde, P. Ball, M. Sayed, and L. Liu. 2019. “Local Food Supply Chain Resilience to Constitutional Change: The Brexit Effect.” International Journal of Operations & Production Management 39 (3): 429–453. doi: 10.1108/IJOPM-03-2018-0184
   Web of Science ®Google Scholar
• Jabbour, A. B. L. d. S., C. J. C. Jabbour, C. Foropon, and M. G. Filho. 2018. “When Titans Meet – Can Industry 4.0 Revolutionise the Environmentally-Sustainable Manufacturing Wave? The Role of Critical Success Factors.” Technological Forecasting and Social Change 132: 18–25. doi: 10.1016/j.techfore.2018.01.017
   Web of Science ®Google Scholar
• Jabbour, C. J. C., A. B. L. d. S. Jabbour, J. Sarkis, and M. G. Filho. 2019. “Unlocking the Circular Economy Through New Business Models Based on Large-Scale Data: An Integrative Framework and Research Agenda.” Technological Forecasting and Social Change 144: 546–552. doi: 10.1016/j.techfore.2017.09.010
   Web of Science ®Google Scholar
• Jiao, Z., Lun Ran, Yanzi Zhang, Ziqi Li, and Wensi Zhang. 2018. “Data-driven Approaches to Integrated Closed-Loop Sustainable Supply Chain Design Under Multi-Uncertainties.” Journal of Cleaner Production 185: 105–127. doi: 10.1016/j.jclepro.2018.02.255
   Web of Science ®Google Scholar
• Kamble, S.S, A Belhadi, A Gunasekaran, L Ganapathy, and S Verma. 2021. “A Large Multi-Group Decision-Making Technique for Prioritizing the Big Data-Driven Circular Economy Practices in the Automobile Component Manufacturing.” Technological Forecasting & Social [Q21]Change 165: 120567. doi: 10.1016/j.techfore.2020.120567
   Web of Science ®Google Scholar
• Kamble, S. S., and A. Gunasekaran. 2020. “Big Data-Driven Supply Chain Performance Measurement System: A Review and Framework for Implementation.” International Journal of Production Research 58 (1): 65–86. doi: 10.1080/00207543.2019.1630770
   Web of Science ®Google Scholar
• Kamble, S., A. Gunasekaran, and N. C. Dhone. 2020. “Industry 4.0 and Lean Manufacturing Practices for Sustainable Organisational Performance in Indian Manufacturing Companies.” International Journal of Production Research 58 (5): 1319–1337. doi: 10.1080/00207543.2019.1630772
   Web of Science ®Google Scholar
• Kamble, S. S., A. Gunasekaran, and S. A. Gawankar. 2020. “Achieving Sustainable Performance in a Data-Driven Agriculture Supply Chain: A Review for Research and Applications.” International Journal of Production Economics 219: 179–194. doi: 10.1016/j.ijpe.2019.05.022
   Web of Science ®Google Scholar
• Khan, S. A. R., K. Zkik, A. Belhadi, and S. Kamble. 2021. “Evaluating Barriers and Solutions for Social Sustainability Adoption in Multi-Tier Supply Chains.” International Journal of Production Research. https://doi.org/10.1080/00207543.2021.1876271.
   Web of Science ®Google Scholar
• Kristoffersen, E., F. Blomsma, P. Mikalef, and J. Li. 2020. “The Smart Circular Economy: A Digital-Enabled Circular Strategies Framework for Manufacturing Companies.” Journal of Business Research 120: 241–261. doi: 10.1016/j.jbusres.2020.07.044
   Web of Science ®Google Scholar
• Lawson, B., and D. Samson. 2001. “Developing Innovation Capability in Organisations: A Dynamic Capabilities Approach.” International Journal of Innovation Management 5 (3): 377–400. doi: 10.1142/S1363919601000427
   Google Scholar
• Liu, Y., Q. Zhu, and S. Seuring. 2017. “Linking Capabilities to Green Operations Strategies: The Moderating Role of Corporate Environmental Proactivity.” International Journal of Production Economics 187: 182–195. doi: 10.1016/j.ijpe.2017.03.007
   Web of Science ®Google Scholar
• Machado, C. G., M. P. Winroth, and E. H. D. R. d. Silva. 2020. “Sustainable Manufacturing in Industry 4.0: An Emerging Research Agenda.” International Journal of Production Research 58 (5): 1462–1484. doi: 10.1080/00207543.2019.1652777
   Web of Science ®Google Scholar
• Mangla, S. K., S. Kusi-Sarpong, S. Luthra, C. Bai, S. K. Jakhar, and S. A. Khan. 2020. “Operational Excellence for Improving Sustainable Supply Chain Performance.” Resources, Conservation, and Recycling 162. https://doi.org/10.1016/j.resconrec.2020.105025.
   Web of Science ®Google Scholar
• Ndubisi, N. O., A. Nygaard, and G. C. Ndubisi. 2020. “Managing Sustainability Tensions in Global Supply Chains: Specific Investments in Closed-Loop Technology vs ‘Blood Metals’.” Production Planning & Control 31: 1005. doi: 10.1080/09537287.2019.1695921
   Web of Science ®Google Scholar
• Rajesh, R. 2017. “Technological Capabilities and Supply Chain Resilience of Firms: A Relational Analysis Using Total Interpretive Structural Modeling (TISM).” Technological Forecasting and Social Change 118: 161–169. doi: 10.1016/j.techfore.2017.02.017
   Web of Science ®Google Scholar
• Rialti, R., L. Zollo, A. Ferraris, and I. Alon. 2019. “Big Data Analytics Capabilities and Performance: Evidence from a Moderated Multi-Mediation Model.” Technological Forecasting & Social Change 149 (119781): 1–10.
   Google Scholar
• Sharma, M., S Kamble, V Mani, R Sehrawat, A Belhadi, and V Sharma. 2021. “Industry 4.0 Adoption for Sustainability in Multi-Tier Manufacturing Supply Chain in Emerging Economies.” Journal of Cleaner Production 25: 281.
   Google Scholar
• Singh, S. K., and A.-N. El-Kassar. 2019. “Role of Big Data Analytics in Developing Sustainable Capabilities.” Journal of Cleaner Production 213: 1264–1273. doi: 10.1016/j.jclepro.2018.12.199
   Web of Science ®Google Scholar
• Sousa-Zomer, T. T., L. Magalhães, E. Zancul, L. M. S. Campos, and P. A. Cauchick-Miguel. 2018. “Cleaner Production as an Antecedent for Circular Economy Paradigm Shift at the Micro-Level: Evidence from a Home Appliance Manufacturer.” Journal of Cleaner Production 185: 740–748. doi: 10.1016/j.jclepro.2018.03.006
   Web of Science ®Google Scholar
• Teece, D. J. 2014. “The Foundations of Enterprise Performance: Dynamic and Ordinary Capabilities in an (Economic) Theory of Firms.” Academy of Management Perspectives 28 (4): 328–352. doi: 10.5465/amp.2013.0116
   Web of Science ®Google Scholar
• Teece, D. J., G. Pisano, and A. Shuen. 1997. “Dynamic Capabilities and Strategic Management.” Strategic Management Journal 18 (7): 509–533. doi: 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
   Web of Science ®Google Scholar
• Tseng, M.-L., K.-J. Wu, M. K. Lim, and W.-P. Wong. 2019. “Data-driven Sustainable Supply Chain Management Performance: A Hierarchical Structure Assessment Under Uncertainties.” Journal of Cleaner Production 227: 760–771. doi: 10.1016/j.jclepro.2019.04.201
   Web of Science ®Google Scholar
• Venkatesh, V. G., K. Kang, B. Wang, R. Y. Zhong, and A. Zhang. 2020. “System Architecture for Blockchain Based Transparency of Supply Chain Social Sustainability.” Robotics and Computer-Integrated Manufacturing 63. https://doi.org/10.1016/j.rcim.2019.101896.
   Web of Science ®Google Scholar
• Vogel, R., and W. H. Güttel. 2013. “The Dynamic Capability View in Strategic Management: A Bibliometric Review.” International Journal of Management Reviews 15 (4): 426–446.
   Web of Science ®Google Scholar
• Wamba, S. F., R. Dubey, A. Gunasekaran, and S. Akter. 2020. “The Performance Effects of big Data Analytics and Supply Chain Ambidexterity: The Moderating Effect of Environmental Dynamism.” International Journal of Production Economics 222. https://doi.org/10.1016/j.ijpe.2019.09.019.
   Web of Science ®Google Scholar
• Wamba, S. F., A. Gunasekaran, S. Akter, S. J.-f. Ren, R. Dubey, and S. J. Childe. 2017. “Big Data Analytics and Firm Performance: Effects of Dynamic Capabilities.” Journal of Business Research 70: 356–365. doi: 10.1016/j.jbusres.2016.08.009
   Web of Science ®Google Scholar
• Xu, L. D., E. L. Xu, and L. Li. 2018. “Industry 4.0: State of the Art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962. doi: 10.1080/00207543.2018.1444806
   Web of Science ®Google Scholar
• Zhu, Q., Y. Geng, and K.-H. Lai. 2010. “Circular Economy Practices among Chinese Manufacturers Varying in Environmental-Oriented Supply Chain Cooperation and the Performance Implications.” Journal of Environmental Management 91 (6): 1324–1133. doi: 10.1016/j.jenvman.2010.02.013
   PubMed Web of Science ®Google Scholar