{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T14:38:10Z","timestamp":1769179090716,"version":"3.49.0"},"reference-count":103,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s10479-021-04396-3","type":"journal-article","created":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T17:10:59Z","timestamp":1638292259000},"page":"339-374","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains"],"prefix":"10.1007","volume":"327","author":[{"given":"Vaibhav S.","family":"Narwane","sequence":"first","affiliation":[]},{"given":"Rakesh D.","family":"Raut","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7166-5315","authenticated-orcid":false,"given":"Sachin Kumar","family":"Mangla","sequence":"additional","affiliation":[]},{"given":"Manoj","family":"Dora","sequence":"additional","affiliation":[]},{"given":"Balkrishna E.","family":"Narkhede","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,30]]},"reference":[{"key":"4396_CR1","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.tifs.2019.07.024","volume":"91","author":"J Astill","year":"2019","unstructured":"Astill, J., Dara, R. A., Campbell, M., Farber, J. M., Fraser, E. D., Sharif, S., & Yada, R. Y. (2019). Transparency in food supply chains: A review of enabling technology solutions. Trends in Food Science and Technology, 91, 240\u2013247.","journal-title":"Trends in Food Science and Technology"},{"issue":"sup2","key":"4396_CR2","doi-asserted-by":"crossref","first-page":"5","DOI":"10.2753\/REE1540-496X4703S201","volume":"47","author":"EHM Bah","year":"2011","unstructured":"Bah, E. H. M. (2011). Structural transformation paths across countries. Emerging Markets Finance and Trade, 47(sup2), 5\u201319.","journal-title":"Emerging Markets Finance and Trade"},{"issue":"7","key":"4396_CR3","doi-asserted-by":"crossref","first-page":"1833","DOI":"10.3390\/en11071833","volume":"11","author":"T B\u00e1nyai","year":"2018","unstructured":"B\u00e1nyai, T. (2018). Real-time decision making in first mile and last mile logistics: How smart scheduling affects energy efficiency of hyperconnected supply chain solutions. Energies, 11(7), 1833.","journal-title":"Energies"},{"issue":"2","key":"4396_CR4","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1111\/poms.12234","volume":"24","author":"A Brinkhoff","year":"2015","unstructured":"Brinkhoff, A., \u00d6zer, \u00d6., & Sargut, G. (2015). All you need is trust? An examination of inter-organizational supply chain projects. Production and Operations Management, 24(2), 181\u2013200.","journal-title":"Production and Operations Management"},{"key":"4396_CR5","doi-asserted-by":"crossref","first-page":"1422","DOI":"10.1016\/j.jclepro.2017.11.037","volume":"174","author":"C Cao","year":"2018","unstructured":"Cao, C., Li, C., Yang, Q., Liu, Y., & Qu, T. (2018). A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. Journal of Cleaner Production, 174, 1422\u20131435.","journal-title":"Journal of Cleaner Production"},{"key":"4396_CR6","first-page":"1","volume":"13","author":"MJ Casey","year":"2017","unstructured":"Casey, M. J., & Wong, P. (2017). Global supply chains are about to get better, thanks to blockchain. Harvard Business Review, 13, 1\u20136.","journal-title":"Harvard Business Review"},{"issue":"5","key":"4396_CR7","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1111\/poms.13272","volume":"30","author":"X Chang","year":"2021","unstructured":"Chang, X., Huang, Y., Li, M., Bo, X., & Kumar, S. (2021). Efficient detection of environmental violators: A big data approach. Production and Operations Management, 30(5), 1246\u20131270.","journal-title":"Production and Operations Management"},{"key":"4396_CR8","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.ijpe.2017.04.005","volume":"194","author":"L Chen","year":"2017","unstructured":"Chen, L., Zhao, X., Tang, O., Price, L., Zhang, S., & Zhu, W. (2017). Supply chain collaboration for sustainability: A literature review and future research agenda. International Journal of Production Economics, 194, 73\u201387.","journal-title":"International Journal of Production Economics"},{"issue":"5","key":"4396_CR9","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1177\/0149206320916755","volume":"47","author":"Y Chen","year":"2021","unstructured":"Chen, Y., Pereira, I., & Patel, P. C. (2021). Decentralized governance of digital platforms. Journal of Management, 47(5), 1305\u20131337.","journal-title":"Journal of Management"},{"key":"4396_CR10","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.ijpe.2015.01.002","volume":"166","author":"P Chithambaranathan","year":"2015","unstructured":"Chithambaranathan, P., Subramanian, N., Gunasekaran, A., & Palaniappan, P. K. (2015). Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. International Journal of Production Economics, 166, 163\u2013176.","journal-title":"International Journal of Production Economics"},{"issue":"10","key":"4396_CR11","doi-asserted-by":"crossref","first-page":"4378","DOI":"10.1287\/mnsc.2019.3434","volume":"66","author":"J Chod","year":"2020","unstructured":"Chod, J., Trichakis, N., Tsoukalas, G., Aspegren, H., & Weber, M. (2020). On the financing benefits of supply chain transparency and blockchain adoption. Management Science, 66(10), 4378\u20134396.","journal-title":"Management Science"},{"issue":"1","key":"4396_CR12","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/TCYB.2015.2507599","volume":"47","author":"TM Choi","year":"2016","unstructured":"Choi, T. M., Chan, H. K., & Yue, X. (2016). Recent development in big data analytics for business operations and risk management. IEEE Transactions on Cybernetics, 47(1), 81\u201392.","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"10","key":"4396_CR13","doi-asserted-by":"crossref","first-page":"1868","DOI":"10.1111\/poms.12838","volume":"27","author":"TM Choi","year":"2018","unstructured":"Choi, T. M., Wallace, S. W., & Wang, Y. (2018). Big data analytics in operations management. Production and Operations Management, 27(10), 1868\u20131883.","journal-title":"Production and Operations Management"},{"key":"4396_CR14","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.tre.2019.05.007","volume":"127","author":"TM Choi","year":"2019","unstructured":"Choi, T. M., Wen, X., Sun, X., & Chung, S. H. (2019). The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era. Transportation Research Part E: Logistics and Transportation Review, 127, 178\u2013191.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"1","key":"4396_CR15","first-page":"53","volume":"46","author":"S Chopra","year":"2004","unstructured":"Chopra, S., & Sodhi, M. S. (2004). Supply-chain breakdown. MIT Sloan Management Review, 46(1), 53\u201361.","journal-title":"MIT Sloan Management Review"},{"issue":"4","key":"4396_CR16","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1108\/SCM-09-2018-0309","volume":"24","author":"R Cole","year":"2019","unstructured":"Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: Implications for operations and supply chain management. Supply Chain Managementhy: An International Journal, 24(4), 469\u2013483.","journal-title":"Supply Chain Managementhy: An International Journal"},{"key":"4396_CR17","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.ijpe.2018.08.019","volume":"204","author":"LS Dalenogare","year":"2018","unstructured":"Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383\u2013394.","journal-title":"International Journal of Production Economics"},{"issue":"1","key":"4396_CR18","first-page":"1","volume":"1","author":"JL Deng","year":"1989","unstructured":"Deng, J. L. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1\u201324.","journal-title":"The Journal of Grey System"},{"key":"4396_CR19","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1016\/j.cie.2018.04.012","volume":"128","author":"NK Dev","year":"2019","unstructured":"Dev, N. K., Shankar, R., Gupta, R., & Dong, J. (2019). Multi-criteria evaluation of real-time key performance indicators of supply chain with consideration of big data architecture. Computers and Industrial Engineering, 128, 1076\u20131087.","journal-title":"Computers and Industrial Engineering"},{"key":"4396_CR20","doi-asserted-by":"crossref","unstructured":"Dora, M., Kumar, A., Mangla, S. K., Pant, A., & Kamal, M. M. (2021). Critical success factors influencing artificial intelligence adoption in food supply chains. International Journal of Production Research, 1\u201320.","DOI":"10.1080\/00207543.2021.1959665"},{"issue":"2","key":"4396_CR21","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.ejor.2013.03.004","volume":"233","author":"Y Dou","year":"2014","unstructured":"Dou, Y., Zhu, Q., & Sarkis, J. (2014). Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, 233(2), 420\u2013431.","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"4396_CR22","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.pursup.2017.07.001","volume":"24","author":"Y Dou","year":"2018","unstructured":"Dou, Y., Zhu, Q., & Sarkis, J. (2018). Green multi-tier supply chain management: An enabler investigation. Journal of Purchasing and Supply Management, 24(2), 95\u2013107.","journal-title":"Journal of Purchasing and Supply Management"},{"key":"4396_CR23","doi-asserted-by":"crossref","unstructured":"Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2019). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience.\u00a0International Journal of Production Research, 1\u201319.","DOI":"10.1080\/00207543.2019.1582820"},{"key":"4396_CR24","doi-asserted-by":"crossref","unstructured":"Fan, Y., Heilig, L., & Vo\u00df, S. (2015, August). Supply chain risk management in the era of big data. In\u00a0International conference of design, user experience, and usability\u00a0(pp. 283\u2013294). Springer, Cham.","DOI":"10.1007\/978-3-319-20886-2_27"},{"issue":"10","key":"4396_CR25","doi-asserted-by":"crossref","first-page":"2394","DOI":"10.3390\/s19102394","volume":"19","author":"TM Fern\u00e1ndez-Caram\u00e9s","year":"2019","unstructured":"Fern\u00e1ndez-Caram\u00e9s, T. M., Blanco-Novoa, O., Froiz-M\u00edguez, I., & Fraga-Lamas, P. (2019). Towards an autonomous industry 4.0 warehouse: A UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management. Sensors, 19(10), 2394.","journal-title":"Sensors"},{"issue":"2","key":"4396_CR26","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1108\/13598540410527079","volume":"9","author":"P Finch","year":"2004","unstructured":"Finch, P. (2004). Supply chain risk management. Supply Chain Management: An International Journal, 9(2), 183\u2013196.","journal-title":"Supply Chain Management: An International Journal"},{"key":"4396_CR27","volume-title":"The DEMATEL observer, DEMATEL 1976 report","author":"E Fontela","year":"1976","unstructured":"Fontela, E., & Gabus, A. (1976). The DEMATEL observer, DEMATEL 1976 report. Battelle Geneva Research Center."},{"issue":"1","key":"4396_CR28","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.ijpe.2011.08.030","volume":"140","author":"X Fu","year":"2012","unstructured":"Fu, X., Zhu, Q., & Sarkis, J. (2012). Evaluating green supplier development programs at a telecommunications systems provider. International Journal of Production Economics, 140(1), 357\u2013367.","journal-title":"International Journal of Production Economics"},{"key":"4396_CR29","doi-asserted-by":"crossref","first-page":"15310","DOI":"10.1109\/ACCESS.2019.2895327","volume":"7","author":"Y Fu","year":"2019","unstructured":"Fu, Y., & Zhu, J. (2019). Big production enterprise supply chain endogenous risk management based on blockchain. IEEE Access, 7, 15310\u201315319.","journal-title":"IEEE Access"},{"issue":"2","key":"4396_CR30","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1016\/j.ejor.2014.10.034","volume":"243","author":"MD Garvey","year":"2015","unstructured":"Garvey, M. D., Carnovale, S., & Yeniyurt, S. (2015). An analytical framework for supply network risk propagation: A Bayesian network approach. European Journal of Operational Research, 243(2), 618\u2013627.","journal-title":"European Journal of Operational Research"},{"key":"4396_CR31","unstructured":"Geissbauer, R., Veds\u00f8, J., & Schrauf, S. (2016). A strategist\u2019s guide to industry 4.0.\u00a0Strategy and Business,\u00a083."},{"key":"4396_CR32","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.tre.2018.04.014","volume":"115","author":"A Ghavamifar","year":"2018","unstructured":"Ghavamifar, A., Makui, A., & Taleizadeh, A. A. (2018). Designing a resilient competitive supply chain network under disruption risks: A real-world application. Transportation Research Part E: Logistics and Transportation Review, 115, 87\u2013109.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"5","key":"4396_CR33","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1108\/JEIM-06-2015-0050","volume":"29","author":"M Giannakis","year":"2016","unstructured":"Giannakis, M., & Louis, M. (2016). A multi-agent based system with big data processing for enhanced supply chain agility. Journal of Enterprise Information Management, 29(5), 706\u2013727.","journal-title":"Journal of Enterprise Information Management"},{"issue":"20","key":"4396_CR34","doi-asserted-by":"crossref","first-page":"7207","DOI":"10.1016\/j.eswa.2015.04.030","volume":"42","author":"K Govindan","year":"2015","unstructured":"Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2015). Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20), 7207\u20137220.","journal-title":"Expert Systems with Applications"},{"key":"4396_CR35","doi-asserted-by":"crossref","unstructured":"Gunasekaran, A., Subramanian, N., & Rahman, S. (2015). Supply chain resilience: role of complexities and strategies.","DOI":"10.1080\/00207543.2015.1093667"},{"key":"4396_CR36","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.jbusres.2016.08.004","volume":"70","author":"A Gunasekaran","year":"2017","unstructured":"Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308\u2013317.","journal-title":"Journal of Business Research"},{"key":"4396_CR37","unstructured":"Gupta, V. (2017). A brief history of blockchain.\u00a0Harvard Business Review,\u00a028."},{"key":"4396_CR38","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.promfg.2019.04.009","volume":"33","author":"M Hacksteiner","year":"2019","unstructured":"Hacksteiner, M., Fuchs, G., & Bleicher, F. (2019). Strategic energy management in mechanical series production: An industrial use-case. Procedia Manufacturing, 33, 59\u201366.","journal-title":"Procedia Manufacturing"},{"issue":"1\u20132","key":"4396_CR39","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/s10479-016-2226-0","volume":"270","author":"BT Hazen","year":"2018","unstructured":"Hazen, B. T., Skipper, J. B., Boone, C. A., & Hill, R. R. (2018). Back in business: Operations research in support of big data analytics for operations and supply chain management. Annals of Operations Research, 270(1\u20132), 201\u2013211.","journal-title":"Annals of Operations Research"},{"key":"4396_CR40","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ijpe.2016.10.012","volume":"183","author":"Y He","year":"2017","unstructured":"He, Y. (2017). Supply risk sharing in a closed-loop supply chain. International Journal of Production Economics, 183, 39\u201352.","journal-title":"International Journal of Production Economics"},{"issue":"16","key":"4396_CR41","doi-asserted-by":"crossref","first-page":"5031","DOI":"10.1080\/00207543.2015.1030467","volume":"53","author":"W Ho","year":"2015","unstructured":"Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: A literature review. International Journal of Production Research, 53(16), 5031\u20135069.","journal-title":"International Journal of Production Research"},{"issue":"8","key":"4396_CR42","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1108\/IJPDLM-05-2014-0112","volume":"45","author":"B Huo","year":"2015","unstructured":"Huo, B., Han, Z., Chen, H., & Zhao, X. (2015). The effect of high-involvement human resource management practices on supply chain integration. International Journal of Physical Distribution and Logistics Management, 45(8), 716\u2013746.","journal-title":"International Journal of Physical Distribution and Logistics Management"},{"key":"4396_CR43","unstructured":"IEEMA (2013). Indian Electrical Equipment Industry Mission Plan 2012\u20132022, https:\/\/dhi.nic.in\/writereaddata\/UploadFile\/indian_electrical_eq_mission_plan_2012-2022.pdf (Accessed on\u00a004 August, 2019)."},{"issue":"1","key":"4396_CR44","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1504\/IJISM.2017.083005","volume":"11","author":"D Ivanov","year":"2017","unstructured":"Ivanov, D. (2017). Simulation-based single vs. dual sourcing analysis in the supply chain with consideration of capacity disruptions, big data and demand patterns. International Journal of Integrated Supply Management, 11(1), 24\u201343.","journal-title":"International Journal of Integrated Supply Management"},{"issue":"3","key":"4396_CR45","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1080\/00207543.2018.1488086","volume":"57","author":"D Ivanov","year":"2019","unstructured":"Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829\u2013846.","journal-title":"International Journal of Production Research"},{"key":"4396_CR46","doi-asserted-by":"crossref","unstructured":"Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning and Control, 1\u201314.","DOI":"10.1080\/09537287.2020.1768450"},{"issue":"17","key":"4396_CR47","doi-asserted-by":"crossref","first-page":"5945","DOI":"10.1080\/00207543.2018.1461950","volume":"56","author":"A Jabbarzadeh","year":"2018","unstructured":"Jabbarzadeh, A., Fahimnia, B., & Sabouhi, F. (2018). Resilient and sustainable supply chain design: Sustainability analysis under disruption risks. International Journal of Production Research, 56(17), 5945\u20135968.","journal-title":"International Journal of Production Research"},{"key":"4396_CR48","unstructured":"Jabbour, C. J. C., Sobreiro, V. A., de Sousa Jabbour, A. B. L., de Souza Campos, L. M., Mariano, E. B., & Renwick, D. W. S. (2017). An analysis of the literature on humanitarian logistics and supply chain management: Paving the way for future studies. Annals of Operations Research, 1\u201319."},{"issue":"1","key":"4396_CR49","first-page":"1","volume":"1","author":"D Julong","year":"1989","unstructured":"Julong, D. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1\u201324.","journal-title":"The Journal of Grey System"},{"key":"4396_CR50","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.ijpe.2016.12.011","volume":"184","author":"M Kamalahmadi","year":"2017","unstructured":"Kamalahmadi, M., & Parast, M. M. (2017). An assessment of supply chain disruption mitigation strategies. International Journal of Production Economics, 184, 210\u2013230.","journal-title":"International Journal of Production Economics"},{"issue":"7","key":"4396_CR51","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1080\/17517575.2020.1812005","volume":"14","author":"S Khanra","year":"2020","unstructured":"Khanra, S., Dhir, A., Islam, A. N., & M\u00e4ntym\u00e4ki, M. (2020b). Big data analytics in healthcare: A systematic literature review. Enterprise Information Systems, 14(7), 878\u2013912.","journal-title":"Enterprise Information Systems"},{"issue":"6","key":"4396_CR52","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1080\/17517575.2020.1734241","volume":"14","author":"S Khanra","year":"2020","unstructured":"Khanra, S., Dhir, A., & M\u00e4ntym\u00e4ki, M. (2020a). Big data analytics and enterprises: A bibliometric synthesis of the literature. Enterprise Information Systems, 14(6), 737\u2013768.","journal-title":"Enterprise Information Systems"},{"issue":"1","key":"4396_CR53","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1111\/deci.12396","volume":"51","author":"A Kumar","year":"2020","unstructured":"Kumar, A., Liu, R., & Shan, Z. (2020). Is blockchain a silver bullet for supply chain management? Technical challenges and research opportunities. Decision Sciences, 51(1), 8\u201337.","journal-title":"Decision Sciences"},{"issue":"2","key":"4396_CR54","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1108\/IJLM-07-2017-0183","volume":"29","author":"K Lamba","year":"2018","unstructured":"Lamba, K., & Singh, S. P. (2018). Modeling big data enablers for operations and supply chain management. The International Journal of Logistics Management, 29(2), 629\u2013658.","journal-title":"The International Journal of Logistics Management"},{"key":"4396_CR55","volume-title":"Grey information: Theory and practical applications","author":"S Liu","year":"2006","unstructured":"Liu, S., & Lin, Y. (2006). Grey information: Theory and practical applications. Springer Science & Business Media."},{"issue":"7","key":"4396_CR56","doi-asserted-by":"crossref","first-page":"2182","DOI":"10.3390\/su11072182","volume":"11","author":"L Liu","year":"2019","unstructured":"Liu, L., Li, F., & Qi, E. (2019). Research on risk avoidance and coordination of supply chain subject based on blockchain technology. Sustainability, 11(7), 2182.","journal-title":"Sustainability"},{"key":"4396_CR57","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.psep.2018.04.018","volume":"117","author":"S Luthra","year":"2018","unstructured":"Luthra, S., & Mangla, S. K. (2018). Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168\u2013179.","journal-title":"Process Safety and Environmental Protection"},{"issue":"4","key":"4396_CR58","doi-asserted-by":"crossref","first-page":"608","DOI":"10.3390\/su9040608","volume":"9","author":"V Mani","year":"2017","unstructured":"Mani, V., Delgado, C., Hazen, B., & Patel, P. (2017). Mitigating supply chain risk via sustainability using big data analytics: Evidence from the manufacturing supply chain. Sustainability, 9(4), 608.","journal-title":"Sustainability"},{"issue":"11","key":"4396_CR59","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1287\/mnsc.33.11.1404","volume":"33","author":"JG March","year":"1987","unstructured":"March, J. G., & Shapira, Z. (1987). Managerial perspectives on risk and risk taking. Management Science, 33(11), 1404\u20131418.","journal-title":"Management Science"},{"issue":"1","key":"4396_CR60","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.bushor.2018.08.012","volume":"62","author":"H Min","year":"2019","unstructured":"Min, H. (2019). Blockchain technology for enhancing supply chain resilience. Business Horizons, 62(1), 35\u201345.","journal-title":"Business Horizons"},{"issue":"7","key":"4396_CR61","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1108\/IMDS-11-2015-0478","volume":"116","author":"D Mishra","year":"2016","unstructured":"Mishra, D., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Dubey, R., & Wamba, S. (2016). Vision, applications and future challenges of internet of things: A bibliometric study of the recent literature. Industrial Management and Data Systems, 116(7), 1331\u20131355.","journal-title":"Industrial Management and Data Systems"},{"issue":"1\u20132","key":"4396_CR62","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/s10479-016-2236-y","volume":"270","author":"D Mishra","year":"2018","unstructured":"Mishra, D., Gunasekaran, A., Papadopoulos, T., & Childe, S. J. (2018). Big Data and supply chain management: A review and bibliometric analysis. Annals of Operations Research, 270(1\u20132), 313\u2013336.","journal-title":"Annals of Operations Research"},{"issue":"3","key":"4396_CR63","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.bushor.2019.01.008","volume":"62","author":"M Montecchi","year":"2019","unstructured":"Montecchi, M., Plangger, K., & Etter, M. (2019). It\u2019s real, trust me! Establishing supply chain provenance using blockchain. Business Horizons, 62(3), 283\u2013293.","journal-title":"Business Horizons"},{"key":"4396_CR64","unstructured":"Mukherjee, S. (2019). India pips Germany, ranks 4th largest auto market now.\u00a0The Economic Times (Accessed on\u00a004 August, 2019)."},{"key":"4396_CR65","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.cor.2017.07.004","volume":"98","author":"T Nguyen","year":"2018","unstructured":"Nguyen, T., Li, Z. H. O. U., Spiegler, V., Ieromonachou, P., & Lin, Y. (2018). Big data analytics in supply chain management: A state-of-the-art literature review. Computers and Operations Research, 98, 254\u2013264.","journal-title":"Computers and Operations Research"},{"issue":"4","key":"4396_CR66","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1504\/IJOR.2014.063152","volume":"20","author":"AV Nikjoo","year":"2014","unstructured":"Nikjoo, A. V., & Saeedpoor, M. (2014). An intuitionistic fuzzy DEMATEL methodology for prioritising the components of SWOT matrix in the Iranian insurance industry. International Journal of Operational Research, 20(4), 439\u2013452.","journal-title":"International Journal of Operational Research"},{"issue":"8","key":"4396_CR67","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1111\/risa.12796","volume":"37","author":"B Niu","year":"2017","unstructured":"Niu, B., & Zou, Z. (2017). Better demand signal, better decisions? Evaluation of big data in a licensed remanufacturing supply chain with environmental risk considerations. Risk Analysis, 37(8), 1550\u20131565.","journal-title":"Risk Analysis"},{"key":"4396_CR68","doi-asserted-by":"crossref","unstructured":"Raut, R. D., Mangla, S. K., Narwane, V. S., Gardas, B. B., Priyadarshinee, P., & Narkhede, B. E. (2019). Linking big data analytics and operational sustainability practices for sustainable business management. Journal of Cleaner Production.","DOI":"10.1016\/j.jclepro.2019.03.181"},{"key":"4396_CR69","doi-asserted-by":"crossref","first-page":"102170","DOI":"10.1016\/j.tre.2020.102170","volume":"145","author":"RD Raut","year":"2021","unstructured":"Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (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, 145, 102170.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"4","key":"4396_CR70","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1080\/13675567.2015.1075476","volume":"19","author":"H Rogers","year":"2016","unstructured":"Rogers, H., Srivastava, M., Pawar, K. S., & Shah, J. (2016). Supply chain risk management in India\u2013practical insights. International Journal of Logistics Research and Applications, 19(4), 278\u2013299.","journal-title":"International Journal of Logistics Research and Applications"},{"key":"4396_CR71","doi-asserted-by":"crossref","unstructured":"Rogerson, M., & Parry, G. C. (2020). Blockchain: Case studies in food supply chain visibility.\u00a0Supply Chain Management: An International Journal.","DOI":"10.1108\/SCM-08-2019-0300"},{"key":"4396_CR72","doi-asserted-by":"crossref","unstructured":"Salamai, A., Saberi, M., Hussain, O., & Chang, E. (2018, December). Risk identification-based association rule mining for supply chain big data. In\u00a0International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage\u00a0(pp. 219\u2013228). Springer, Cham.","DOI":"10.1007\/978-3-030-05345-1_18"},{"issue":"1\u20132","key":"4396_CR73","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1080\/00207543.2017.1355123","volume":"56","author":"KP Scheibe","year":"2018","unstructured":"Scheibe, K. P., & Blackhurst, J. (2018). Supply chain disruption propagation: A systemic risk and normal accident theory perspective. International Journal of Production Research, 56(1\u20132), 43\u201359.","journal-title":"International Journal of Production Research"},{"issue":"4","key":"4396_CR74","first-page":"11","volume":"33","author":"GL Schlegel","year":"2014","unstructured":"Schlegel, G. L. (2014). Utilizing big data and predictive analytics to manage supply chain risk. The Journal of Business Forecasting, 33(4), 11.","journal-title":"The Journal of Business Forecasting"},{"issue":"1","key":"4396_CR75","doi-asserted-by":"crossref","first-page":"179","DOI":"10.13052\/jiems2446-1822.2017.009","volume":"2018","author":"FF Schl\u00fcter","year":"2018","unstructured":"Schl\u00fcter, F. F., Hetterscheid, E., & Henke, M. (2018). A simulation-based evaluation approach for digitalization scenarios in smart supply chain risk management. Journal of Industrial Engineering and Management Science, 2018(1), 179\u2013206.","journal-title":"Journal of Industrial Engineering and Management Science"},{"issue":"4","key":"4396_CR76","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1108\/SCM-11-2014-0386","volume":"20","author":"K Scholten","year":"2015","unstructured":"Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471\u2013484.","journal-title":"Supply Chain Management: An International Journal"},{"key":"4396_CR77","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.apm.2019.05.037","volume":"75","author":"M Setak","year":"2019","unstructured":"Setak, M., Feizizadeh, F., Tikani, H., & Ardakani, E. S. (2019). A bi-level stochastic optimization model for reliable supply chain in competitive environments: Hybridizing exact method and genetic algorithm. Applied Mathematical Modelling, 75, 310\u2013332.","journal-title":"Applied Mathematical Modelling"},{"issue":"1","key":"4396_CR78","first-page":"1","volume":"2018","author":"SL Si","year":"2018","unstructured":"Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL technique: A systematic review of the state-of-the-art literature on methodologies and applications. Mathematical Problems in Engineering, 2018(1), 1\u201333.","journal-title":"Mathematical Problems in Engineering"},{"key":"4396_CR79","doi-asserted-by":"crossref","unstructured":"Singh, N. P., & Singh, S. (2019). Building supply chain risk resilience: Role of big data analytics in supply chain disruption mitigation.\u00a0Benchmarking: An International Journal.","DOI":"10.1108\/BIJ-10-2018-0346"},{"issue":"2","key":"4396_CR80","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1080\/0740817X.2015.1067735","volume":"48","author":"LV Snyder","year":"2016","unstructured":"Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B. (2016). OR\/MS models for supply chain disruptions: A review. Iie Transactions, 48(2), 89\u2013109.","journal-title":"Iie Transactions"},{"key":"4396_CR81","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.jclepro.2015.05.080","volume":"134","author":"CM Su","year":"2016","unstructured":"Su, C. M., Horng, D. J., Tseng, M. L., Chiu, A. S., Wu, K. J., & Chen, H. P. (2016). Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. Journal of Cleaner Production, 134, 469\u2013481.","journal-title":"Journal of Cleaner Production"},{"key":"4396_CR82","doi-asserted-by":"crossref","unstructured":"Swift, C., Guide Jr, V. D. R., & Muthulingam, S. (2019). Does supply chain visibility affect operating performance? Evidence from conflict minerals disclosures.\u00a0Journal of Operations Management.","DOI":"10.1002\/joom.1021"},{"key":"4396_CR83","doi-asserted-by":"crossref","unstructured":"Talwar, S., Kaur, P., Fosso Wamba, S., & Dhir, A. (2021). Big Data in operations and supply chain management: A systematic literature review and future research agenda.\u00a0International Journal of Production Research, 1\u201326.","DOI":"10.1080\/00207543.2020.1868599"},{"key":"4396_CR84","doi-asserted-by":"crossref","first-page":"103290","DOI":"10.1016\/j.compind.2020.103290","volume":"122","author":"A Tandon","year":"2020","unstructured":"Tandon, A., Dhir, A., Islam, N., & M\u00e4ntym\u00e4ki, M. (2020). Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda. Computers in Industry, 122, 103290.","journal-title":"Computers in Industry"},{"key":"4396_CR85","doi-asserted-by":"crossref","first-page":"120649","DOI":"10.1016\/j.techfore.2021.120649","volume":"166","author":"A Tandon","year":"2021","unstructured":"Tandon, A., Kaur, P., M\u00e4ntym\u00e4ki, M., & Dhir, A. (2021). Blockchain applications in management: A bibliometric analysis and literature review. Technological Forecasting and Social Change, 166, 120649.","journal-title":"Technological Forecasting and Social Change"},{"issue":"4","key":"4396_CR86","doi-asserted-by":"crossref","first-page":"7738","DOI":"10.1016\/j.eswa.2008.09.011","volume":"36","author":"ML Tseng","year":"2009","unstructured":"Tseng, M. L. (2009). A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Systems with Applications, 36(4), 7738\u20137748.","journal-title":"Expert Systems with Applications"},{"key":"4396_CR87","unstructured":"Tucker, C., & Catalini, C. (2018). What blockchain can\u2019t do.\u00a0Harvard Business Review."},{"key":"4396_CR88","doi-asserted-by":"crossref","first-page":"101896","DOI":"10.1016\/j.rcim.2019.101896","volume":"63","author":"VG Venkatesh","year":"2020","unstructured":"Venkatesh, V. G., Kang, K., Wang, B., Zhong, R. Y., & Zhang, A. (2020). System architecture for blockchain based transparency of supply chain social sustainability. Robotics and Computer-Integrated Manufacturing, 63, 101896.","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"key":"4396_CR89","doi-asserted-by":"crossref","unstructured":"Vieira, A. A., Dias, L. M., Santos, M. Y., Pereira, G. A., & Oliveira, J. A. (2019, July). Supply Chain Simulation in a Big Data Context: Risks and Uncertainty Analysis. In\u00a0International Conference on Computational Science and Its Applications (pp. 817\u2013829). Springer, Cham.","DOI":"10.1007\/978-3-030-24289-3_60"},{"issue":"21","key":"4396_CR90","doi-asserted-by":"crossref","first-page":"6484","DOI":"10.1080\/00207543.2013.825056","volume":"51","author":"N Viswanadham","year":"2013","unstructured":"Viswanadham, N., & Samvedi, A. (2013). Supplier selection based on supply chain ecosystem, performance and risk criteria. International Journal of Production Research, 51(21), 6484\u20136498.","journal-title":"International Journal of Production Research"},{"key":"4396_CR91","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.ijpe.2016.03.014","volume":"176","author":"G Wang","year":"2016","unstructured":"Wang, G., Gunasekaran, A., Ngai, E. W., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98\u2013110.","journal-title":"International Journal of Production Economics"},{"key":"4396_CR92","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1016\/j.amc.2015.01.041","volume":"256","author":"HH Wu","year":"2015","unstructured":"Wu, H. H., & Chang, S. Y. (2015). A case study of using DEMATEL method to identify critical factors in green supply chain management. Applied Mathematics and Computation, 256, 394\u2013403.","journal-title":"Applied Mathematics and Computation"},{"issue":"7","key":"4396_CR93","doi-asserted-by":"crossref","first-page":"5219","DOI":"10.1016\/j.eswa.2009.12.068","volume":"37","author":"HH Wu","year":"2010","unstructured":"Wu, H. H., Chen, H. K., & Shieh, J. I. (2010). Evaluating performance criteria of employment service outreach program personnel by DEMATEL method. Expert Systems with Applications, 37(7), 5219\u20135223.","journal-title":"Expert Systems with Applications"},{"issue":"5","key":"4396_CR94","doi-asserted-by":"crossref","first-page":"2334","DOI":"10.1016\/j.amc.2011.07.055","volume":"218","author":"HH Wu","year":"2011","unstructured":"Wu, H. H., & Tsai, Y. N. (2011). A DEMATEL method to evaluate the causal relations among the criteria in auto spare parts industry. Applied Mathematics and Computation, 218(5), 2334\u20132342.","journal-title":"Applied Mathematics and Computation"},{"key":"4396_CR95","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.jclepro.2016.04.040","volume":"142","author":"KJ Wu","year":"2017","unstructured":"Wu, K. J., Liao, C. J., Tseng, M. L., Lim, M. K., Hu, J., & Tan, K. (2017). Toward sustainability: Using big data to explore the decisive attributes of supply chain risks and uncertainties. Journal of Cleaner Production, 142, 663\u2013676.","journal-title":"Journal of Cleaner Production"},{"key":"4396_CR96","unstructured":"Yin, R. K. (2009).\u00a0Case study research: Design and methods\u00a0(Vol. 5). sage.312"},{"key":"4396_CR97","doi-asserted-by":"crossref","unstructured":"Zadeh, L. A. (1976). A fuzzy-algorithmic approach to the definition of complex or imprecise concepts. In\u00a0Systems Theory in the Social Sciences\u00a0(pp. 202\u2013282). Birkh\u00e4user, Basel.","DOI":"10.1007\/978-3-0348-5495-5_11"},{"issue":"2","key":"4396_CR98","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/0022-247X(68)90078-4","volume":"23","author":"LA Zadeh","year":"1968","unstructured":"Zadeh, L. A. (1968). Probability measures of fuzzy events. Journal of Mathematical Analysis and Applications, 23(2), 421\u2013427.","journal-title":"Journal of Mathematical Analysis and Applications"},{"key":"4396_CR99","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.ijpe.2019.06.008","volume":"218","author":"N Zhao","year":"2019","unstructured":"Zhao, N. (2019). Managing interactive collaborative mega project supply chains under infectious risks. International Journal of Production Economics, 218, 275\u2013286.","journal-title":"International Journal of Production Economics"},{"key":"4396_CR100","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1016\/j.jclepro.2016.03.006","volume":"142","author":"R Zhao","year":"2017","unstructured":"Zhao, R., Liu, Y., Zhang, N., & Huang, T. (2017). An optimization model for green supply chain management by using a big data analytic approach. Journal of Cleaner Production, 142, 1085\u20131097.","journal-title":"Journal of Cleaner Production"},{"key":"4396_CR101","doi-asserted-by":"crossref","unstructured":"Zheng, K., Zhang, Z., Chen, Y., & Wu, J. (2019). Blockchain adoption for information sharing: risk decision-making in spacecraft supply chain.\u00a0Enterprise Information Systems, 1\u201322.","DOI":"10.1080\/17517575.2019.1669831"},{"key":"4396_CR102","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/j.cie.2016.07.013","volume":"101","author":"RY Zhong","year":"2016","unstructured":"Zhong, R. Y., Newman, S. T., Huang, G. Q., & Lan, S. (2016). Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives. Computers and Industrial Engineering, 101, 572\u2013591.","journal-title":"Computers and Industrial Engineering"},{"issue":"9","key":"4396_CR103","doi-asserted-by":"crossref","first-page":"2610","DOI":"10.1080\/00207543.2015.1086037","volume":"55","author":"RY Zhong","year":"2017","unstructured":"Zhong, R. Y., Xu, C., Chen, C., & Huang, G. Q. (2017). Big data analytics for physical internet-based intelligent manufacturing shop floors. International Journal of Production Research, 55(9), 2610\u20132621.","journal-title":"International Journal of Production Research"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-021-04396-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-021-04396-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-021-04396-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T18:12:35Z","timestamp":1689703955000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-021-04396-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,30]]},"references-count":103,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["4396"],"URL":"https:\/\/doi.org\/10.1007\/s10479-021-04396-3","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,30]]},"assertion":[{"value":"29 October 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}