{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:24:36Z","timestamp":1775769876393,"version":"3.50.1"},"reference-count":97,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,4,14]],"date-time":"2017-04-14T00:00:00Z","timestamp":1492128000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>The use of big data analytics for forecasting business trends is gaining momentum among professionals. At the same time, supply chain risk management is important for practitioners to consider because it outlines ways through which firms can allay internal and external threats. Predicting and addressing the risks that social issues cause in the supply chain is of paramount importance to the sustainable enterprise. The aim of this research is to explore the application of big data analytics in mitigating supply chain social risk and to demonstrate how such mitigation can help in achieving environmental, economic, and social sustainability. The method involves an expert panel and survey identifying and validating social issues in the supply chain. A case study was used to illustrate the application of big data analytics in identifying and mitigating social issues in the supply chain. Our results show that companies can predict various social problems including workforce safety, fuel consumptions monitoring, workforce health, security, physical condition of vehicles, unethical behavior, theft, speeding and traffic violations through big data analytics, thereby demonstrating how information management actions can mitigate social risks. This paper contributes to the literature by integrating big data analytics with sustainability to explain how to mitigate supply chain risk.<\/jats:p>","DOI":"10.3390\/su9040608","type":"journal-article","created":{"date-parts":[[2017,4,18]],"date-time":"2017-04-18T11:22:04Z","timestamp":1492514524000},"page":"608","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":130,"title":["Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5291-6115","authenticated-orcid":false,"given":"Venkatesh","family":"Mani","sequence":"first","affiliation":[{"name":"Faculty of Economics, University of Porto, Dr. Roberto Frias, 4200-464 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1494-0517","authenticated-orcid":false,"given":"Catarina","family":"Delgado","sequence":"additional","affiliation":[{"name":"Faculty of Economics, University of Porto, Dr. Roberto Frias, 4200-464 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4891-3071","authenticated-orcid":false,"given":"Benjamin","family":"Hazen","sequence":"additional","affiliation":[{"name":"Department of Marketing and Supply Chain Management, University of Tennessee, Knoxville, TN 37996, USA"}]},{"given":"Purvishkumar","family":"Patel","sequence":"additional","affiliation":[{"name":"Maruti 3PL Private Ltd., Navdurga Society, Faizal Navapur, Bardoli, Gujarat 394601, India"}]}],"member":"1968","published-online":{"date-parts":[[2017,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"691","DOI":"10.2307\/258977","article-title":"Corporate social performance revisited","volume":"16","author":"Wood","year":"1991","journal-title":"Acad. Manag. Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.ecolind.2016.07.007","article-title":"Social sustainability in the supply chain: Construct development and measurement validation","volume":"71","author":"Mani","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.resconrec.2016.04.003","article-title":"Supply Chain Social Sustainability for Developing Nations: Evidence from India","volume":"111","author":"Mani","year":"2016","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1016\/j.jom.2006.05.010","article-title":"Bridging organization theory and supply chain management: The case of best value supply chains","volume":"25","author":"Ketchen","year":"2007","journal-title":"J. Oper. Manag."},{"key":"ref_5","first-page":"114","article-title":"Leading a supply chain turn around","volume":"82","author":"Slone","year":"2004","journal-title":"Harv. Bus. Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1111\/j.1745-493X.2000.tb00248.x","article-title":"Strategic alliance success factors","volume":"36","author":"Whipple","year":"2000","journal-title":"J. Supply Chain Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1111\/j.2158-1592.2011.01004.x","article-title":"The emerging role of the third-party logistics provider (3PL) as an orchestrator","volume":"32","author":"Zacharia","year":"2011","journal-title":"J. Bus. Logist."},{"key":"ref_8","first-page":"84","article-title":"Competing on analytics","volume":"84","author":"Davenport","year":"2006","journal-title":"Harv. Bus. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1142\/S0219622013500016","article-title":"Business analytics for supply chain: A dynamic-capabilities frame work","volume":"12","author":"Chae","year":"2013","journal-title":"Int. J. Inf. Technol. Decis. Mak."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.ijpe.2014.04.018","article-title":"Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications","volume":"154","author":"Hazen","year":"2014","journal-title":"Int. J. Prod. Econ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1016\/j.dss.2010.03.007","article-title":"The impact of business analytics on supply chain performance","volume":"49","author":"Trkman","year":"2010","journal-title":"Decis. Support Syst."},{"key":"ref_12","unstructured":"Keeso, A. (2014). Big Data and Environmental Sustainability: A Conversation Starter, Smith School of Enterprise and the Environment, University of Oxford. Available online: http:\/\/www.smithschool.ox.ac.uk\/library\/workingpapers\/workingpaper%2014-04.pdf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.ijpe.2013.05.013","article-title":"Manufacturing facility location and sustain- ability: A literature review and research agenda","volume":"149","author":"Chen","year":"2014","journal-title":"Int. J. Prod. Econ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1108\/17410391211204392","article-title":"The intellectual structure of the supply chain management discipline: A citation and social network analysis","volume":"25","author":"Giannakis","year":"2012","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1699","DOI":"10.1016\/j.jclepro.2008.04.020","article-title":"From a literature review to a conceptual framework for sustainable supply chain management","volume":"16","author":"Seuring","year":"2008","journal-title":"J. Clean. Prod."},{"key":"ref_16","unstructured":"Simon, H.A. (1965). Administrative Behavior, Free Press."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1287\/orsc.7.4.375","article-title":"Prospering in dynamically-competitive environments: Organizational capability as knowledge integration","volume":"7","author":"Grant","year":"1996","journal-title":"Organ. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1002\/smj.4250171110","article-title":"Toward a knowledge-based theory of the firm","volume":"17","author":"Grant","year":"1996","journal-title":"Strateg. Manag. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1287\/orsc.2.1.88","article-title":"Organizational learning: The contributing processes and literatures","volume":"2","author":"Huber","year":"1991","journal-title":"Organ. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1146\/annurev.so.14.080188.001535","article-title":"Organizational learning","volume":"14","author":"Levitt","year":"1988","journal-title":"Annu. Rev. Sociol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/EMR.2013.2259978","article-title":"Innovation as the strategic driver of sustainability: Big data knowledge for profit and survival","volume":"41","author":"Jelinek","year":"2013","journal-title":"IEEE Eng. Manag. Rev."},{"key":"ref_22","unstructured":"Manyika, J., Sinclair, J., Dobbs, R., Strube, G., Rassey, L., Mischke, J., Remes, J., Roxburg, C., George, K., and O\u2019Halloran, D. (2016, July 22). Manufacturing the Future: The Next Era of Global Growth and Innovation. Available online: http:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/the-future-of-manufacturing."},{"key":"ref_23","first-page":"1","article-title":"Cross-border process innovations: Improving the fit between information processing needs and capabilities","volume":"12","author":"Hazen","year":"2015","journal-title":"Int. J. Innov. Technolo. Manag."},{"key":"ref_24","first-page":"72","article-title":"Reducing the risk of supply chain disruptions","volume":"55","author":"Chopra","year":"2014","journal-title":"MIT Sloan Manag. Rev."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.ijpe.2010.06.013","article-title":"Identifying risk issues and research advancements in supply chain risk management","volume":"133","author":"Tang","year":"2011","journal-title":"Int. J. Prod. Econ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.ijpe.2012.01.021","article-title":"Social issues in supply chains: Capabilities link responsibility, risk (opportunity), and performance","volume":"140","author":"Klassen","year":"2012","journal-title":"Int. J. Prod. Econ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1016\/j.ijpe.2013.05.016","article-title":"Before and after disaster strikes: A relief supply chain decision support frame work","volume":"145","author":"Kumar","year":"2013","journal-title":"Int. J. Prod. Econ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1002\/isaf.327","article-title":"The use of social media in the supply chain: Survey and extensions","volume":"18","year":"2011","journal-title":"Intell. Syst. Account. Financ. Manag."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1007\/s00170-015-7674-1","article-title":"The impact of big data on world-class sustainable manufacturing","volume":"84","author":"Dubey","year":"2016","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1016\/j.cie.2016.06.030","article-title":"Big Data and predictive analytics for supply chain sustainability: A theory-driven research agenda","volume":"101","author":"Hazen","year":"2016","journal-title":"Comput. Ind. Eng."},{"key":"ref_31","unstructured":"Hsu, J. (2014, January 31). Why Big Data Will Have an Impact on Sustainability. Available online: http:\/\/www.theguardian.com\/sustainable-business\/big-dataimpact-sustainable-business."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Scholz, R.W. (2016). Sustainable Digital Environments: What Major Challenges Is Humankind Facing?. Sustainability, 8.","DOI":"10.3390\/su8080726"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.2307\/41703503","article-title":"Business intelligence and analytics: From big data to big impact","volume":"4","author":"Chen","year":"2012","journal-title":"MIS Q."},{"key":"ref_34","unstructured":"Spotfire (2016, June 22). Big Data in Manufacturing: Rise of the Machine: TIBCO Spotfire\u2019s Trends and Outliers Blog. Available online: http:\/\/spotfire.tibco.com\/blog\/?p=20446>.2013."},{"key":"ref_35","unstructured":"Wamba, S., Akter, S., Edwards, A., Chopin, G., and Gnanzou, D. (2015). How \u2018big data\u2019 can make big impact: Findings from a systematic review and a longitudinal case study. Int. J. Prod. Econ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.dss.2012.05.048","article-title":"Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud","volume":"55","author":"Demirkan","year":"2013","journal-title":"Decis. Support Syst."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Hazen, B.T., Skipper, J.B., Boone, C.A., and Hill, R.R. (2016). Back in business: Operations research in support of big data analytics for operations and supply chain management. Ann. Oper. Res.","DOI":"10.1007\/s10479-016-2226-0"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.ijpe.2016.03.014","article-title":"Big data analytics in logistics and supply chain management: Certain investigations for research and applications","volume":"176","author":"Wang","year":"2016","journal-title":"Int. J. Prod. Econ."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Mishra, D., Gunasekaran, A., Papadopoulos, T., and Childe, S.J. (2016). Big Data and supply chain management: A review and bibliometric analysis. Ann. Oper. Res.","DOI":"10.1007\/s10479-016-2236-y"},{"key":"ref_40","unstructured":"Accenture Global Operations Mega Trends Study (2014, December 07). Big Data Analytics in Supply Chain: Hype or Here to Stay?. Available online: http:\/\/www.accenture.com\/us-en\/Pages\/insight-global-operations-megatrends-big-data-analytics.aspx."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/MIS.2013.142","article-title":"From data to actionable knowledge: Big data challenges in the web of things","volume":"28","author":"Barnaghi","year":"2013","journal-title":"IEEE Intell. Syst."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1007\/s00170-015-7151-x","article-title":"Big data in product lifecycle management","volume":"81","author":"Li","year":"2015","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.knosys.2012.07.002","article-title":"Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs","volume":"36","author":"Xia","year":"2012","journal-title":"Knowl. Based Syst."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1740001","DOI":"10.1142\/S0217595917400012","article-title":"Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research","volume":"34","author":"Shen","year":"2017","journal-title":"Asia Pac. J. Oper. Res."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Hofmann, E. (2015). Big data and supply chain decisions: The impact of volume, variety and velocity properties on the bullwhip effect. Int. J. Prod. Res.","DOI":"10.1080\/00207543.2015.1061222"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1016\/j.bushor.2014.06.004","article-title":"Supply chain analytics","volume":"57","author":"Souza","year":"2014","journal-title":"Bus. Horiz."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1111\/jbl.12017","article-title":"Where do we go from here? Progressing sustainability implementation efforts across supply chains","volume":"34","author":"Brockhaus","year":"2013","journal-title":"J. Bus. Logist."},{"key":"ref_48","first-page":"1480","article-title":"Creating and capturing value: Strategic corporate social responsibility, resource-based theory, and sustainable competitive advantage","volume":"37","author":"McWilliams","year":"2011","journal-title":"J. Manag."},{"key":"ref_49","unstructured":"Hsu, J.M. (2016, January 16). Big Business + Big Data = Big Sustainability. Available online: http:\/\/www.sustainablebrands.com\/news_and_views\/info_tech\/john-m-hsu\/big business-Big-data-big-sustainability."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1080\/09537287.2011.591619","article-title":"Sustainable manufacturing: Trends and research challenges","volume":"23","author":"Garetti","year":"2012","journal-title":"Prod. Plan. Control"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.compind.2014.01.009","article-title":"Collaborative simulation and scientific big data analysis: Illustration for sustainability in natural hazards management and chemical process engineering","volume":"65","author":"Belaud","year":"2014","journal-title":"Comput. Ind."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2561","DOI":"10.1016\/j.jpdc.2014.01.003","article-title":"Trends in big data analytics","volume":"74","author":"Kambatla","year":"2014","journal-title":"J. Parallel Distrib. Comput."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"e26","DOI":"10.2196\/medinform.4221","article-title":"Building data-driven pathways from routinely collected hospital data: A case study on prostate cancer","volume":"3","author":"Clark","year":"2015","journal-title":"JMIR Med. Inf."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1132","DOI":"10.1377\/hlthaff.2014.0031","article-title":"Early experiences with big data at an academic medical center","volume":"33","author":"Halamka","year":"2014","journal-title":"Health Aff."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.3390\/su7021308","article-title":"Sustainable developments plan for Korea through expansion of green IT: Policy issues for the effective utilization of big data","volume":"7","author":"Baek","year":"2015","journal-title":"Sustainability"},{"key":"ref_56","unstructured":"Mason-Jones, R., and Towill, D.R. (2015, July 10). Shrinking the supply Chain Uncertainty Cycle, Control. Available online: http:\/\/www.enterrasolutions.com\/media\/docs\/2011\/02\/19980901d.pdf."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.omega.2003.09.001","article-title":"How many suppliers are best? A decision-analysis approach","volume":"32","author":"Berger","year":"2004","journal-title":"Omega"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1108\/09600030410545436","article-title":"Mitigating supply chain risk through improved confidence","volume":"34","author":"Christopher","year":"2004","journal-title":"Int. J. Phys. Distrib. Logist. Manag."},{"key":"ref_59","unstructured":"LaLonde, B.J. (2004). A Crisis in Transportation. Supply Chain Management Review, EH Publishing."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1108\/09600030410545463","article-title":"Ericsson\u2019s proactive supply chain risk management approach after a serious sub-supplier accident","volume":"34","author":"Norrman","year":"2004","journal-title":"Int. J. Phys. Distrib. Logist. Manag."},{"key":"ref_61","unstructured":"Quinn, F. (2006). Risky Business. Supply Chain Management Review, EH Publishing."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/j.ijpe.2005.12.006","article-title":"Perspectives in supply chain risk management","volume":"103","author":"Tang","year":"2006","journal-title":"Int. J. Prod. Econ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1111\/j.1937-5956.2005.tb00008.x","article-title":"An Empirical Analysis of the Effect of Supply Chain Disruptions on Long-Run Stock Price Performance and Equity Risk of the Firm","volume":"14","author":"Hendricks","year":"2005","journal-title":"Prod. Oper. Manag."},{"key":"ref_64","first-page":"41","article-title":"A Supply Chain View of the Resilient Enterprise","volume":"47","author":"Sheffi","year":"2005","journal-title":"MIT Sloan Manag. Rev."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1108\/09574090510617385","article-title":"Supply chain risk management: Understanding the business requirements from a practitioner perspective","volume":"16","year":"2005","journal-title":"Int. J. Logist. Manag."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/TCYB.2015.2507599","article-title":"Recent development in big data analytics for business operations and risk management","volume":"47","author":"Choi","year":"2017","journal-title":"IEEE Trans. Cybern."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1109\/TII.2016.2558477","article-title":"Guest Editorial Big Data Analytics: Risk and Operations Management for Industrial Applications","volume":"12","author":"Chan","year":"2016","journal-title":"IEEE Trans. Ind. Inf."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"105","DOI":"10.2307\/41166135","article-title":"Aligning Supply Chain Strategies with Product Uncertainties","volume":"44","author":"Lee","year":"2002","journal-title":"Calif. Manag. Rev."},{"key":"ref_69","first-page":"102","article-title":"The Triple-A Supply Chain","volume":"82","author":"Lee","year":"2004","journal-title":"Harv. Bus. Rev."},{"key":"ref_70","first-page":"94","article-title":"Aligning Incentives in Supply Chains","volume":"82","author":"Narayanan","year":"2004","journal-title":"Harv. Bus. Rev."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1002\/smj.4250140105","article-title":"Strategic assets and organizational rents","volume":"14","author":"Amit","year":"1993","journal-title":"Strateg. Manag. J."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"128","DOI":"10.2307\/2393553","article-title":"Absorptive capability: A new perspective on learning and innovation","volume":"35","author":"Cohen","year":"1990","journal-title":"Admin. Sci. Q."},{"key":"ref_73","unstructured":"Yin, R.K. (2013). Case Study Research: Design and Methods, Sage Publications."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"532","DOI":"10.2307\/258557","article-title":"Building theories from case study research","volume":"14","author":"Eisenhardt","year":"1989","journal-title":"Acade. Manag. Rev."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1145\/358141.358148","article-title":"Power, politics, and MIS implementation","volume":"26","author":"Markus","year":"1983","journal-title":"Commun. ACM"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1177\/002224378502200209","article-title":"Case research in marketing: Opportunities, problems, and a process","volume":"22","author":"Bonoma","year":"1985","journal-title":"J. Mark. Res."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1108\/01409170210782990","article-title":"Using case studies in research","volume":"25","author":"Rowley","year":"2002","journal-title":"Manag. Res. News"},{"key":"ref_78","unstructured":"Feagin, J.R., Orum, A.M., and Sjoberg, G. (1991). Conclusion: The present crisis in US sociology. A Case for the Case Study, University of North Carolina Press."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"768","DOI":"10.2307\/20042687","article-title":"The changed world economy","volume":"64","author":"Drucker","year":"1986","journal-title":"Foreign Aff."},{"key":"ref_80","unstructured":"Yin, R.K. (2011). Qualitative Research from Start to Finish, The Guilford Press."},{"key":"ref_81","first-page":"23","article-title":"Combining process and outcome evaluation","volume":"35","author":"Judd","year":"1987","journal-title":"New Dir. Progr. Eval."},{"key":"ref_82","first-page":"57","article-title":"Qualitative and quantitative methods: When stories converge","volume":"35","author":"Kidder","year":"1987","journal-title":"New Dir. Eval."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Liebow, E. (2003). Tally\u2019s Corner: A Study of Negro Street Corner Men, Rowman & Littlefield Publishers.","DOI":"10.5771\/9780585479194"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/S0360-8352(02)00072-4","article-title":"A supply chain diagnostic methodology: Determining the vector of change","volume":"43","author":"Naim","year":"2002","journal-title":"Comput. Ind. Eng."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1108\/09574090710835138","article-title":"Using e-business to enable customized logistics sustainability","volume":"18","author":"Wang","year":"2007","journal-title":"Int. J. Logist. Manag."},{"key":"ref_86","unstructured":"World Bank Report (2016, June 15). International LPI Global Rankings. Available online: http:\/\/lpi.worldbank.org\/international\/global."},{"key":"ref_87","unstructured":"Chandra, P., and Jain, N. (2007). The logistics sector in India: Overview and challenges. World Scientific Series on 21st Century Business, Indian Institute of Management. Available online: http:\/\/iimahd.ernet.in\/publications\/data\/2007-03-07Pankajchandra.pdf."},{"key":"ref_88","unstructured":"Joshi, K., and Yesha, Y. (2012, January 5\u20137). Workshop on analytics for big data generated by healthcare and personalized medicine domain. Proceedings of the 2012 Conference of the Center for Advanced Studies on Collaborative Research, Toronto, ON, Canada."},{"key":"ref_89","unstructured":"Henschen, D. (2016, July 22). Merck Optimizes Manufacturing with Big Data Analytics: Information Week Connecting the Business Technology Community. Available online: http:\/\/www.informationweek.com\/strategic-cio\/executive-insights-and-innovation\/merck-optimizes-manufacturing-with-big-data-analytics\/d\/d-id\/1127901>.2014."},{"key":"ref_90","first-page":"34","article-title":"Big data in finance","volume":"Volume 127","author":"Peat","year":"2013","journal-title":"Finance: The Magazine for Finsia Members"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Zhong, R.Y., Xu, C., Chen, C., and Huang, G.Q. (2015). Big data analytics for physical internet-based intelligent manufacturing shop floors. Int. J. Prod. Res.","DOI":"10.1080\/00207543.2015.1086037"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.ijpe.2014.12.034","article-title":"Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph","volume":"165","author":"Tan","year":"2015","journal-title":"Int. J. Prod. Econ."},{"key":"ref_93","unstructured":"Womack, J.P., Jones, D.T., and Roos, D. (1990). The Machine that Changed the World, Rawson Associates."},{"key":"ref_94","unstructured":"Wheelwright, S., and Clark, K. (1992). Revolutionizing New Product Development, Free Press."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1109\/TEM.2012.2211363","article-title":"The value of capacity sizing under risk aversion and operational flexibility","volume":"60","author":"Chronopoulos","year":"2013","journal-title":"IEEE Trans. Eng. Manag."},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Choi, J., Jun, S., and Park, S. (2016). A Patent Analysis for Sustainable Technology Management. Sustainability, 8.","DOI":"10.3390\/su8070688"},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Choy, M., and Park, G. (2016). Sustaining Innovative Success: A Case Study on Consumer-Centric Innovation in the ICT Industry. 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