Impact of Industry 4.0 on supply chain performance

References

• Agrifoglio, R., C. Cannavale, E. Laurenza, and C. Metallo. 2017. “How Emerging Digital Technologies Affect Operations Management through Co-Creation. Empirical Evidence from the Maritime Industry.” Production Planning & Control 28 (16): 1298–1306. doi:10.1080/09537287.2017.1375150.
   Web of Science ®Google Scholar
• Ahmad, N., and R. Mehmood. 2015. “Enterprise Systems: Are We Ready for Future Sustainable Cities.” Supply Chain Management: An International Journal 20 (3): 264–283. doi:10.1108/SCM-11-2014-0370.
   Web of Science ®Google Scholar
• Akter, S., S. F. Wamba, A. Gunasekaran, R. Dubey, and S. J. Childe. 2016. “How to Improve Firm Performance Using Big Data Analytics Capability and Business Strategy Alignment?” International Journal of Production Economics 182: 113–131. doi:10.1016/j.ijpe.2016.08.018.
   Web of Science ®Google Scholar
• Aldrich, H. 1979. Organisation and Environment. Englewood Cliffs: Prentice-Hall.
   Google Scholar
• Altay, N., A. Gunasekaran, R. Dubey, and S. J. Childe. 2018. “Agility and Resilience as Antecedents of Supply Chain Performance under Moderating Effects of Organisational Culture within the Humanitarian Setting: A Dynamic Capability View.” Production Planning & Control 29 (14): 1158–1174. doi:10.1080/09537287.2018.1542174.
   Web of Science ®Google Scholar
• Alter, S. 2008. “Service System Fundamentals: Work System, Value Chain and Life Cycle.” IBM Systems Journal 47 (1): 71–85. doi:10.1147/sj.471.0071.
   Google Scholar
• Amini, M., R. F. Otondo, B. D. Janz, and M. G. Pitts. 2009. “Simulation Modelling and Analysis: A Collateral Application and Exposition of RFID Technology.” Production and Operations Management 16 (5): 586–598. doi:10.1111/j.1937-5956.2007.tb00282.x.
   Web of Science ®Google Scholar
• Anand, G., and P. T. Ward. 2009. “Fit, Flexibility and Performance in Manufacturing: Coping with Dynamic Environment.” Production and Operations Management 13 (4): 369–385. doi:10.1111/j.1937-5956.2004.tb00224.x.
   Google Scholar
• Babiceanu, R. F., and R. Seker. 2016. “Big Data and Virtualization for Manufacturing Cyber-Physical Systems: A Survey of the Current Status and Future Outlook.” Computers in Industry 81 (128): 128–137. doi:10.1016/j.compind.2016.02.004.
   Google Scholar
• Baihaqi, I., and A. S. Sohal. 2013. “The Impact of Information Sharing in Supply Chains on Organisational Performance: An Empirical Study.” Production Planning & Control 24 (8–9): 743–758. doi:10.1080/09537287.2012.666865.
   Web of Science ®Google Scholar
• Banker, S. 2014. “The internet of things will change the face of supply chain management, but it will require a revolution in analytics first.” http://logisticsviewpoints.com/2014/07/14/Internet-things-will-change-face-supply-chain-management-will-require-revolution-analytics-first/
   Google Scholar
• Banker, S. 2015. “The smart factory, Industry 4.0, and supply chain optimization.” http://logisticsviewpoints.com/2015/05/14/the-smart-factory-Industry-4-0-and-supply-chain-optimization/
   Google Scholar
• Baur, C., and D. Wee. 2015. “Manufacturing’s next act – Industry 4.0.” Seko. http://www.supplychain247.com/article/manufacturings_next_act_industry_4_0.
   Google Scholar
• Baxter, A. 2016. “Beacon technology targets consumers instore via smartphones.” The Australian Business Review. http://www.theaustralian.com.au/business/the-deal-magazine/beacon-technology-targets-consumers-instore-via-smarthpones/news-story/2969863cf77caad786c792765a150d2c
   Google Scholar
• Bhagwat, R., and M. K. Sharma. 2009. “An Application of the Integrated AHP-PGP Model for Performance Measurement of Supply Chain Management.” Production Planning & Control 20 (8): 678–690. doi:10.1080/09537280903069897.
   Web of Science ®Google Scholar
• Bi, Z., L. D. Xu, and C. Wang. 2014. “Internet of Things for Enterprise Systems of Modern Manufacturing.” IEEE Transactions on Industrial Informatics 10 (2): 1537–1154.
   Web of Science ®Google Scholar
• Bishop, R. 2000. “Intelligent Vehicle Applications Worldwide.” IEEE Intelligent Systems 15 (1): 78–81. doi:10.1109/5254.820333.
   Web of Science ®Google Scholar
• Bititci, U. S., S. U. O. Firat, and P. Garengo. 2012. “How to Compare Performances of Firms Operating in Different Sectors?” Production Planning & Control 24 (12): 1039–1042. doi:10.1080/09537287.2011.643829.
   Web of Science ®Google Scholar
• Blau, J. 2014. “Revolutionizing Industry the German Way.” Research-Technology Management 57 (6): 2–3. doi:10.5437/08956308X5706001.
   Web of Science ®Google Scholar
• Blome, C., A. Paulraj, and K. Schuetz. 2014. “Supply Chain Collaboration and Sustainability: A Profile Deviation Analysis.” International Journal of Operations & Production Management 34 (5): 639–663. doi:10.1108/IJOPM-11-2012-0515.
   Web of Science ®Google Scholar
• Bonn, I., and J. Fisher. 2011. “Sustainability: The Missing Ingredient in Strategy.” Journal of Business Strategy 32 (1): 5–14. doi:10.1108/02756661111100274.
   Google Scholar
• Bourlakis, M., G. Maglaras, D. Gallear, and C. Fotopoulos. 2014. “Examining Sustainability Performance in the Supply Chain: The Case of the Greek Dairy Sector.” Industrial Marketing Management 43 (1): 56–66. doi:10.1016/j.indmarman.2013.08.002.
   Web of Science ®Google Scholar
• Brettel, M., N. Friederichsen, M. Keller, and M. Rosenberg. 2014. “How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective.” International Journal of Science, Engineering and Technology 8 (1): 37–44.
   Google Scholar
• Brousell, D. R., J. R. Moad, and P. Tate. 2014. The Next Industrial Revolution: How the Internet of Things and Embedded, Connected, Intelligent Devices will Transform Manufacturing. Frost & Sullivan, A Manufacturing Leadership White Paper.
   Google Scholar
• Brown, R. B. 2006. Doing Your Dissertation in Business and Management: The Reality of Research and Writing. London: Sage Publications.
   Google Scholar
• Burgess, K., P. J. Singh, and R. Koroglu. 2006. “Supply Chain Management: A Structured Literature Review and Implications for Future Research.” International Journal of Operations & Production Management 26 (7): 703–729. doi:10.1108/01443570610672202.
   Web of Science ®Google Scholar
• Burnes, B., and N. Towers. 2016. “Consumers, Clothing Retailers and Production Planning and Control in the Smart City.” Production Planning & Control 27 (6): 490–499. doi:10.1080/09537287.2016.1147097.
   Web of Science ®Google Scholar
• Capra, F. 1997. The Web of Life. New York: Doubleday-Anchor Book.
   Google Scholar
• Chavarría-Barrientos, D., R. Batres, P. K. Wright, and A. Molina. 2017. “A Methodology to Create a Sensing, Smart and Sustainable Manufacturing Enterprise.” International Journal of Production Research 56 (1–2): 584–603. doi:10.1080/00207543.2017.1386333.
   Web of Science ®Google Scholar
• Chavez, R., W. Yu, M. A. Jacobs, and M. Feng. 2017. “Data-Driven Supply Chains, Manufacturing Capability and Customer Satisfaction.” Production Planning & Control 28 (11–12): 906–918. doi:10.1080/09537287.2017.1336788.
   Web of Science ®Google Scholar
• Chen, L., and C. Holsapple. 2012. “E-business Adoption Research: Analysis and Structure.” Proceedings of the 18th Americas Conference on Information Systems (AMICS), Seattle, Washington. https://aisel.aisnet.org/amcis2012/proceedings/EBusiness/21.
   Google Scholar
• Chen, Y. J., and M. Deng. 2015. “Information Sharing in a Manufacturer–Supplier Relationship: Suppliers' Incentive and Production Efficiency.” Production and Operations Management 24 (4): 619–633. doi:10.1111/poms.12261.
   Web of Science ®Google Scholar
• Christensen, J. F., M. Olesen, and J. S. Kjaer. 2005. “The Industrial Dynamics of Open Innovation – Evidence from the Transformation of Consumer Electronics.” Research Policy 34 (10): 1533–1549. doi:10.1016/j.respol.2005.07.002.
   Web of Science ®Google Scholar
• Chung, C. 2015. “Industry 4.0: Smart factories need smart supply chains longitudes.” https://longitudes.ups.com/smart-factories-need-smart-supply-chains/
   Google Scholar
• Chung, W., and M. Swink. 2009. “Patterns of Advanced Manufacturing Technology Utilization and Manufacturing Capabilities.” Production and Operations Management 18 (5): 533–545. doi:10.1111/j.1937-5956.2009.01027.x.
   Web of Science ®Google Scholar
• Datta, P. P. 2017. “Enhancing Competitive Advantage by Constructing Supply Chains to Achieve Superior Performance.” Production Planning & Control 28 (1): 57–74. doi:10.1080/09537287.2016.1231854.
   Web of Science ®Google Scholar
• Davenport, T. H. 2006. “Competing on Analytics.” Harvard Business Review 84 (1): 98–107.
   PubMed Web of Science ®Google Scholar
• de Oliveira, M. P. V., K. McCormack, and P. Trkman. 2012. “Business Analytics in Supply Chains – The Contingent Effect of Business Process Maturity.” Expert Systems with Applications 39 (5): 5488–5498. doi:10.1016/j.eswa.2011.11.073.
   Web of Science ®Google Scholar
• Devaraj, S., L. Krajewski, and J. C. Wei. 2007. “Impact of eBusiness Technologies on Operational Performance: The Role of Production Information Integration in the Supply Chain.” Journal of Operations Management 25 (6): 1199–1216. doi:10.1016/j.jom.2007.01.002.
   Web of Science ®Google Scholar
• Dreyer, H. C., J. O. Strandhagen, H. H. Hvolby, A. Romsdal, and E. Alfnes. 2016. “Supply Chain Strategies for Specialty Foods: A Norwegian Case Study.” Production Planning & Control 27 (11): 878–893. doi:10.1080/09537287.2016.1156779.
   Web of Science ®Google Scholar
• Dubey, R., A. Gunasekaran, S. J. Childe, S. F. Wamba, and T. Papadopoulos. 2016. “The Impact of Big Data on World-Class Sustainable Manufacturing.” The International Journal of Advanced Manufacturing Technology 84 (1–4): 631–645. doi:10.1007/s00170-015-7674-1.
   Web of Science ®Google Scholar
• Einsiedler, I. 2013. “Embedded System for Industry 4.0.” Productivity Management 18 (1): 26–28.
   Google Scholar
• Fatorachian, H., and H. Kazemi. 2018. “A Critical Investigation of Industry 4.0 in Manufacturing: Theoretical Operationalisation Framework.” Production Planning & Control 29 (8): 633–644. doi:10.1080/09537287.2018.1424960.
   Web of Science ®Google Scholar
• Fawcett, S. E., G. M. Magnan, and M. W. McCarter. 2008. “Benefits, Barriers, and Bridges to Effective Supply Chain Management.” Supply Chain Management: An International Journal 13 (1): 35–48. doi:10.1108/13598540810850300.
   Web of Science ®Google Scholar
• Gecevska, V., I. Veza, F. Cus, Z. Anisic, and N. Stefanic. 2012. “Lean PLM – Information Technology Strategy for Innovative and Sustainable Business Environment.” International Journal of Industrial Engineering and Management 3 (1): 15–23.
   Google Scholar
• Genovese, A., L. S. C. Koh, N. Kumar, and P. K. Tripathi. 2014. “Exploring the Challenges in Implementing Supplier Environmental Performance Measurement Models: A Case Study.” Production Planning & Control 25 (13–14): 1198–1211. doi:10.1080/09537287.2013.808839.
   Web of Science ®Google Scholar
• Gorane, S. J., and R. Kant. 2015. “Supply Chain Practices.” International Journal of Productivity and Performance Management 64 (5): 657–685. doi:10.1108/IJPPM-10-2013-0180.
   Web of Science ®Google Scholar
• Govindan, K., S. K. Mangla, and S. Luthra. 2017. “Prioritising Indicators in Improving Supply Chain Performance Using Fuzzy AHP: Insights from the Case Example of Four Indian Manufacturing Companies.” Production Planning & Control 28 (6–8): 552–573. doi:10.1080/09537287.2017.1309716.
   Web of Science ®Google Scholar
• Grant, R. M., R. Shani, and R. Krishnan. 1994. “TQM’s Challenge to Management Theory and Practice.” Sloan Management Review 35 (2): 25–35.
   Google Scholar
• Gunasekaran, A., and E. W. Ngai. 2004. “Information Systems in Supply Chain Integration and Management.” European Journal of Operational Research 159 (2): 269–295. doi:10.1016/j.ejor.2003.08.016.
   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 Organisational Performance.” Journal of Business Research 70: 308–317. doi:10.1016/j.jbusres.2016.08.004.
   Web of Science ®Google Scholar
• Guo, L., T. Li, and H. Zhang. 2014. “Strategic Information Sharing in Competing Channels.” Production and Operations Management 23 (10): 1719–1731. doi:10.1111/poms.12195.
   Web of Science ®Google Scholar
• Guo, Z. X., E. W. T. Ngai, C. Yang, and X. Liang. 2015. “An RFID-Based Intelligent Decision Support System Architecture for Production Monitoring and Scheduling in a Distributed Manufacturing Environment.” International Journal of Production Economics 159: 16–28. doi:10.1016/j.ijpe.2014.09.004.
   Web of Science ®Google Scholar
• Hack, S., and C. Berg. 2014. “The Potential of IT for Corporate Sustainability.” Sustainability 6 (7): 4163–4180. doi:10.3390/su6074163.
   Web of Science ®Google Scholar
• Hair, J. F., M. W. Celsi, A. H. Money, P. Samouel, and M. J. Page. 2015. Essentials of Business Research Methods. 2nd ed. New York: M. E. Sharpe.
   Google Scholar
• Hancke, G., B. Silva, and G. Hancke Jr. 2012. “The Role of Advanced Sensing in Smart Cities.” Sensors 13 (1): 393–425. doi:10.3390/s130100393.
   PubMed Web of Science ®Google Scholar
• Harris, I., Y. Wang, and H. Wang. 2015. “ICT in Multimodal Transport and Technological Trends: Unleashing Potential for the Future.” International Journal of Production Economics 159: 88–103. doi:10.1016/j.ijpe.2014.09.005.
   Web of Science ®Google Scholar
• Hassan, M., M. Ali, E. Aktas, and K. Alkayid. 2015. “Factors Affecting Selection Decision of Auto-Identification Technology in Warehouse Management: An International Delphi Study.” Production Planning & Control 26 (12): 1025–1049. doi:10.1080/09537287.2015.1011726.
   Web of Science ®Google Scholar
• Hazen, B. T., C. A. Boone, J. D. Ezell, and L. A. Jones-Farmer. 2014. “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.” International Journal of Production Economics 154: 72–80. doi:10.1016/j.ijpe.2014.04.018.
   Web of Science ®Google Scholar
• Heim, G. R., W. R. Wentworth Jr, and X. D. Peng. 2009. “The Value to the Customer of RFID in Service Applications.” Decision Sciences 40 (3): 477–512. doi:10.1111/j.1540-5915.2009.00237.x.
   Web of Science ®Google Scholar
• Helo, P., and Y. Hao. 2017. “Cloud Manufacturing System for Sheet Metal Processing.” Production Planning & Control 28 (6–8): 524–537. doi:10.1080/09537287.2017.1309714.
   Web of Science ®Google Scholar
• Hilbert, M., and P. Lopez. 2011. “The World’s Technological Capacity to Store, Communicate, and Compute Information.” Science 332 (6025): 60–65. doi:10.1126/science.1200970.
   PubMed Web of Science ®Google Scholar
• Hsu, C., K. Tan, and S. H. M. Zailani. 2016. “Strategic Orientations, Sustainable Supply Chain Initiatives, and Reverse Logistics: Empirical Evidence from an Emerging Market.” International Journal of Operations & Production Management 36 (1): 86–110. doi:10.1108/IJOPM-06-2014-0252.
   Web of Science ®Google Scholar
• Hu, B., and D. Kostamis. 2015. “Managing Supply Disruptions When Sourcing from Reliable and Unreliable Suppliers.” Production and Operations Management 24 (5): 808–820. doi:10.1111/poms.12293.
   Web of Science ®Google Scholar
• Huang, G. Q., Y. F. Zhang, X. Chen, and S. T. Newman. 2008. “RFID-Enabled Real-Time Wireless Manufacturing for Adaptive Assembly Planning and Control.” Journal of Intelligent Manufacturing 19 (6): 701–713. doi:10.1007/s10845-008-0121-5.
   Web of Science ®Google Scholar
• Jonsson, P. 2000. “An Empirical Taxonomy of Advanced Manufacturing Technology.” International Journal of Operations & Production Management 20 (12): 1446–1474. doi:10.1108/01443570010353103.
   Web of Science ®Google Scholar
• Jung, K., S. Choi, B. Kulvatunyou, H. Cho, and K. C. Morris. 2016. “A Reference Activity Model for Smart Factory Design and Improvement.” Production Planning & Control 28 (2): 108–122. doi:10.1080/09537287.2016.1237686.
   Web of Science ®Google Scholar
• Kache, F., and S. Seuring. 2017. “Challenges and Opportunities of Digital Information at the Intersection of Big Data Analytics and Supply Chain Management.” International Journal of Operations & Production Management 37 (1): 10–36. doi:10.1108/IJOPM-02-2015-0078.
   Web of Science ®Google Scholar
• Kagermann, H., J. Helbig, A. Hellinger, and W. Wahlster. 2013. “Recommendations for implementing the strategic initiative Industry 4.0: Securing the future of German manufacturing industry.” Final Report of the Industry 4.0 Working Group, Forschungsunion. http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/de/Material_fuer_Sonderseiten/Industrie_4.0/Final_report__Industrie_4.0_accessible.pdf
   Google Scholar
• Koh, S. C. L., A. Gunasekaran, and D. Rajkumar. 2008. “ERPII: The Involvement, Benefits and Impediments of Collaborative Information Sharing.” International Journal of Production Economics 113 (1): 245–268. doi:10.1016/j.ijpe.2007.04.013.
   Web of Science ®Google Scholar
• Koh, S. C. L., and S. M. Saad. 2006. “Managing Uncertainty in ERP-Controlled Manufacturing Environments in SMEs.” International Journal of Production Economics 101 (1): 109–127. doi:10.1016/j.ijpe.2005.05.011.
   Web of Science ®Google Scholar
• Lang, M., P. Deflorin, H. Dietl, and E. Lucas. 2014. “The Impact of Complexity on Knowledge Transfer in Manufacturing Networks.” Production and Operations Management 23 (11): 1886–1898. doi:10.1111/poms.12193.
   Web of Science ®Google Scholar
• LaValle, S., E. Lesser, R. Shockley, M. S. Hopkins, and N. Kruschwitz. 2011. “Big Data, Analytics and the Path from Insights to Value.” MIT Sloan Management Review 52 (2): 21–31.
   Web of Science ®Google Scholar
• Lawrence, P., and J. Lorsch. 1967. “Differentiation and Integration in Complex Organisations.” Administrative Science Quarterly 12 (1): 1–30. doi:10.2307/2391211.
   Web of Science ®Google Scholar
• Lee, H. L., and S. Whang. 2000. “Information Sharing in a Supply Chain”. International Journal of Technology Management 20 (3–4): 373–387.
   Google Scholar
• Leitao, P., A. W. Colombo, and S. Karnouskos. 2016. “Industrial Automation Based on Cyber-Physical Systems Technologies: Prototype Implementations and Challenges.” Computers in Industry 81: 11–25. doi:10.1016/j.compind.2015.08.004.
   Web of Science ®Google Scholar
• Li, F., A. Nucciarelli, S. Roden, and G. Graham. 2016. “How Smart Cities Transform Operations Models: A New Research Agenda for Operations Management in the Digital Economy.” Production Planning & Control 27 (6): 514–528. doi:10.1080/09537287.2016.1147096.
   Web of Science ®Google Scholar
• Longhofer, J., J. Floersch, and J. Hoy. 2012. Qualitative Methods for Practice Research. New York: Oxford University Press.
   Google Scholar
• Lopez Research. 2014. “Building smarter manufacturing with the Internet of Things (IoT).” Part 2 of The IoT Series. Lopez Research white paper. http://cdn.iotwf.com/resources/6/iot_in_manufacturing_january.pdf
   Google Scholar
• Luo, W., Y. Shi, and V. G. Venkatesh. 2018. “Exploring the Factors of Achieving Supply Chain Excellence: A New Zealand Perspective.” Production Planning & Control 29 (8): 655–667. doi:10.1080/09537287.2018.1451004.
   Web of Science ®Google Scholar
• Maanen, J. V. 1998. Qualitative Studies of Organisations. Cambridge: Sage Publications.
   Google Scholar
• Macaulay, J., L. Buckalew, and G. Chung. 2015. “Internet of things in logistics.” A collaborative report by DHL and Cisco. DHL Trend Research and Cisco Consulting Services, DHL Customer Solutions & Innovation. https://discover.dhl.com/content/dam/dhl/downloads/interim/full/dhl-trend-report-internet-of-things.pdf.
   Google Scholar
• Mani, V., R. Agrawal, and V. Sharma. 2015. “Supply Chain Social Sustainability: A Comparative Case Analysis in Indian Manufacturing Industries.” Procedia – Social and Behavioral Sciences 189: 234–251. doi:10.1016/j.sbspro.2015.03.219.
   Google Scholar
• Martinez, V., A. Pavlov, and M. Bourne. 2010. “Reviewing Performance: An Analysis of the Structure and Functions of Performance Management Reviews.” Production Planning & Control 21 (1): 70–83. doi:10.1080/09537280903317049.
   Web of Science ®Google Scholar
• McKelvey, B., C. Wycisk, and M. Hülsmann. 2009. “Designing an Electronic Auction Market for Complex ‘Smart Parts’ Logistics: Options Based on LeBaron's Computational Stock Market.” International Journal of Production Economics 120 (2): 476–494. doi:10.1016/j.ijpe.2009.03.006.
   Web of Science ®Google Scholar
• Mele, C., J. Pels, and F. Polese. 2010. “A Brief Overview of Systems Theories and Their Managerial Implications.” Service Science 2 (1–2): 126–135. doi:10.1287/serv.2.1_2.126.
   Google Scholar
• Mishra, D., A. Gunasekaran, S. J. Childe, T. Papadopoulos, R. Dubey, and S. Wamba. 2016a. “Vision, Applications and Future Challenges of Internet of Things: A Bibliometric Study of the Recent Literature.” Industrial Management & Data Systems 116 (7): 1331–1355. doi:10.1108/IMDS-11-2015-0478.
   Web of Science ®Google Scholar
• Mishra, D., A. Gunasekaran, T. Papadopoulos, and S. J. Childe. 2016b. “Big Data and Supply Chain Management: A Review and Bibliometric Analysis.” Annals of Operations Research 270 (1–2): 1–24. https://link.springer.com/article/10.1007/s10479-016-2236-y. doi:10.1007/s10479-016-2236-y.
   Web of Science ®Google Scholar
• Modrak, V., and V. Moskvich. 2012. “Impacts of RFID Implementation on Cost Structure in Networked Manufacturing.” International Journal of Production Research 50 (14): 3847–3859. doi:10.1080/00207543.2011.594968.
   Web of Science ®Google Scholar
• Moeuf, A., R. Pellerin, S. Lamouri, S. Tamayo-Giraldo, and R. Barbaray. 2017. “The Industrial Management of SMEs in the Era of Industry 4.0.” International Journal of Production Research 56 (3): 1–19. doi:10.1080/00207543.2017.1372647.
   Web of Science ®Google Scholar
• Najmi, A., and A. Makui. 2012. “A Conceptual Model for Measuring Supply Chain's Performance.” Production Planning & Control 23 (9): 694–706. doi:10.1080/09537287.2011.586004.
   Web of Science ®Google Scholar
• Narasimhan, R., S. W. Kim, and K. C. Tan. 2008. “An Empirical Investigation of Supply Chain Strategy Typologies and Relationships to Performance.” International Journal of Production Research 46 (18): 5231–5259. doi:10.1080/00207540600847137.
   Web of Science ®Google Scholar
• Neely, A. 2005. “The Evolution of Performance Measurement Research: Developments in the Last Decade and a Research Agenda for the Next.” International Journal of Operations & Production Management 25 (12): 1264–1277. doi:10.1108/01443570510633648.
   Web of Science ®Google Scholar
• Nelissen, M. 2014. Industry 4.0: The Time to Start is Now! Supply Chain Transformation. Campgemini Consulting. https://www.capgemini.com/2014/12/industry-40-the-time-to-start-is-now/.
   Google Scholar
• Nevo, S., and M. Wade. 2011. “Firm-Level Benefits of IT-Enabled Resources: A Conceptual Extension and an Empirical Assessment.” The Journal of Strategic Information Systems 20 (4): 403–418. doi:10.1016/j.jsis.2011.08.001.
   Web of Science ®Google Scholar
• Nidumolu, R., C. K. Prahalad, and M. R. Rangaswami. 2009. “Why Sustainability is Now the Key Driver of Innovation.” Harvard Business Review 87 (9): 1–10.
   Web of Science ®Google Scholar
• Oberg, C., and G. Graham. 2016. “How Smart Cities Will Change Supply Chain Management: A Technical Viewpoint.” Production Planning & Control 27 (6): 529–538. doi:10.1080/09537287.2016.1147095.
   Web of Science ®Google Scholar
• Oehmen, J., A. Ziegenbein, R. Alard, and P. Schönsleben. 2009. “System-Oriented Supply Chain Risk Management.” Production Planning & Control 20 (4): 343–361. doi:10.1080/09537280902843789.
   Web of Science ®Google Scholar
• Orlitzky, M., D. S. Siegel, and D. A. Waldman. 2011. “Strategic Corporate Social Responsibility and Environmental Sustainability.” Business & Society 50 (1): 6–27. doi:10.1177/0007650310394323.
   Web of Science ®Google Scholar
• Park, S., S. Park, J. Byun, and S. Park. 2016. “Design of a Mass-Customization-Based Cost-Effective Internet of Things Sensor System in Smart Building Spaces.” International Journal of Distributed Sensor Networks 12 (8). doi:10.1177/1550147716660895.
   Web of Science ®Google Scholar
• Paulraj, A. 2011. “Understanding the Relationships between Internal Resources and Capabilities, Sustainable Supply Management and Organisational Sustainability.” Journal of Supply Chain Management 47 (1): 19–37. doi:10.1111/j.1745-493X.2010.03212.x.
   Web of Science ®Google Scholar
• Poovendran, R., K. Sampigethaya, S. K. S. Gupta, I. Lee, K. V. Prasad, D. Corman, and J. L. Paunicka. 2012. “Special Issue on Cyber-Physical Systems.” Proceedings of the IEEE 100 (1): 6–12. doi:10.1109/JPROC.2011.2167449.
   Web of Science ®Google Scholar
• Porter, M. E., and J. E. Heppelmann. 2014. “How Smart, Connected Products Are Transforming Competition.” Harvard Business Review 92 (11): 64–88.
   Web of Science ®Google Scholar
• Qiu, X., H. Luo, G. Xu, R. Zhong, and G. Q. Huang. 2015. “Physical Assets and Service Sharing for IoT-Enabled Supply Hub in Industrial Park (SHIP).” International Journal of Production Economics 159: 4–15. doi:10.1016/j.ijpe.2014.09.001.
   Web of Science ®Google Scholar
• Quesada, G., R. Rachamadugu, M. Gonzalez, and J. L. Martinez. 2008. “Linking Order Winning and External Supply Chain Integration Strategies.” Supply Chain Management: An International Journal 13 (4): 296–303. doi:10.1108/13598540810882189.
   Web of Science ®Google Scholar
• Rai, A., R. Patnayakuni, and N. Seth. 2006. “Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities.” MIS Quarterly 30 (2): 225–246. doi:10.2307/25148729.
   Web of Science ®Google Scholar
• Ranasinghe, D. C., Q. Z. Sheng, and S. Zeadally. 2010. Unique Radio Innovation for the 21st Century: Building Scalable and Global RFID Networks. New York: Springer Science & Business Media.
   Google Scholar
• Rashid, A., and B. Tjahjono. 2016. “Achieving Manufacturing Excellence through the Integration of Enterprise Systems and Simulation.” Production Planning & Control 27 (10): 837–852. doi:10.1080/09537287.2016.1143132.
   Web of Science ®Google Scholar
• Redelberger, J. 2014. Industry 4.0 im Kontext Logistik – Connected Supply Chains Transformation. Berlin: Campgemini Consulting. https://www.de.capgemini-consulting.com/blog/digital-transformation-blog/2014/08/Industry-40-im-kontext-logistik-connected-supply-chains.
   Google Scholar
• Reinhart, G., P. Engelhardt, F. Geiger, T. Philipp, W. Wahlster, D. Zühlke, and M. Veigt. 2013. “Cyber Physical Production Systems. Enhancement of Productivity and Flexibility by Networking of Intelligent Systems in the Factory.” Werkstattstechnik Online 103 (2): 84–89.
   Google Scholar
• Rich, N., and N. Piercy. 2013. “Losing Patients: A Systems View on Healthcare Improvement.” Production Planning & Control 24 (10–11): 962–975. doi:10.1080/09537287.2012.666911.
   Web of Science ®Google Scholar
• Roden, S., A. Nucciarelli, F. Li, and G. Graham. 2017. “Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda.” Production Planning & Control 28 (11–12): 929–944. doi:10.1080/09537287.2017.1336792.
   Web of Science ®Google Scholar
• Samaranayake, P. 2013. “Improving Manufacturing Lead Time using Holistic Approach to Planning and Execution with Integrated Data Structures: Numerical Simulation and Comparison.” International Journal of Production Research 51 (15): 4484–4501.
   Google Scholar
• Sanders, N. R. 2007. “An Empirical Study of the Impact of e-Business Technologies on Organisational Collaboration and Performance.” Journal of Operations Management 25 (6): 1332–1347. doi:10.1016/j.jom.2007.01.008.
   Web of Science ®Google Scholar
• Saunders, M., P. Lewis, and A. Thornhill. 2012. Research Methods for Business Students. 6th ed. Harlow: Pearson Education Limited.
   Google Scholar
• Schloemer, T., and P. Schröder-Bäck. 2018. “Criteria for Evaluating Transferability of Health Interventions: A Systematic Review and Thematic Synthesis.” Implementation Science 13 (1): 88. doi:10.1186/s13012-018-0751-8.
   PubMedGoogle Scholar
• Schoenherr, T., and C. Speier-Pero. 2015. “Data Science, Predictive Analytics, and Big Data in Supply Chain Management: Current State and Future Potential.” Journal of Business Logistics 36 (1): 120–132. doi:10.1111/jbl.12082.
   Web of Science ®Google Scholar
• Schuh, G., T. Potente, C. Wesch-Potente, A. R. Weber, and J. P. Prote. 2014. “Collaboration Mechanisms to increase Productivity in the Context of Industry 4.0.” Procedia CIRPI 19: 51–56. doi:10.1016/j.procir.2014.05.016.
   Google Scholar
• Schuh, G., T. Potente, C. Wesch-Potente, and A. Hauptvogel. 2013. “Sustainable Increase of Overhead Productivity due to Cyber-Physical Systems.” Paper presented at Proceedings of the 11th Global Conference on Sustainable Manufacturing – Innovation Solutions, Berlin, Germany, 332–335.
   Google Scholar
• Shamsuzzoha, A., C. Toscano, L. M. Carneiro, V. Kumar, and P. Helo. 2016. “ICT-Based Solution Approach for Collaborative Delivery of Customised Products.” Production Planning & Control 27 (4): 280–298. doi:10.1080/09537287.2015.1123322.
   Web of Science ®Google Scholar
• Shmueli, G., and O. Koppius. 2011. “Predictive Analytics and Information Systems Research.” MIS Quarterly 35 (3): 553–572. doi:10.2307/23042796.
   Web of Science ®Google Scholar
• Shrivastava, P., S. Ivanaj, and, and V. Ivanaj. 2016. “Strategic Technological Innovation for Sustainable Development.” International Journal of Technology Management 70 (1): 76–107. doi:10.1504/IJTM.2016.074672.
   Web of Science ®Google Scholar
• Song, M., Q. Du, and Q. Zhu. 2017. “A Theoretical Method of Environmental Performance Evaluation in the Context of Big Data.” Production Planning & Control 28 (11–12): 976–984. doi:10.1080/09537287.2017.1336801.
   Web of Science ®Google Scholar
• Srinivasan, R., and M. Swink. 2015. “Leveraging Supply Chain Integration through Planning Comprehensiveness: An Organisational Information Processing Theory Perspective.” Decision Sciences 46 (5): 823–861. doi:10.1111/deci.12166.
   Web of Science ®Google Scholar
• Stojmenovic, I., and F. Zhang. 2015. “Inaugural Issue of ‘Cyber-Physical Systems.” Cyber-Physical Systems 1 (1): 1–4. doi:10.1080/23335777.2015.970764.
   Google Scholar
• Strozzi, F., C. Colicchia, A. Creazza, and C. Noè. 2017. “Literature Review on the ‘Smart Factory’ Concept Using Bibliometric Tools.” International Journal of Production Research 55 (22): 6572–6591. doi:10.1080/00207543.2017.1326643.
   Web of Science ®Google Scholar
• Swift, C., V. D. R. Guide, Jr., and S. Muthulingam. 2019. “Does Supply Chain Visibility Affect Operating Performance? Evidence from Conflict Minerals Disclosures.” Journal of Operations Management 65 (5): 1–24. doi:10.1002/joom.1021.
   Web of Science ®Google Scholar
• Tachizawa, E. M., M. J. Alvarez-Gil, and M. J. Montes-Sancho. 2015. “How “Smart Cities” Will Change Supply Chain Management.” Supply Chain Management: An International Journal 20 (3): 237–248. doi:10.1108/SCM-03-2014-0108.
   Web of Science ®Google Scholar
• Tan, K. H., Y. Zhan, G. Ji, F. Ye, and C. Chang. 2015. “Harvesting Big Data to Enhance Supply Chain Innovation Capabilities: An Analytic Infrastructure Based on Deduction Graph.” International Journal of Production Economics 165: 223–233. doi:10.1016/j.ijpe.2014.12.034.
   Web of Science ®Google Scholar
• Tan, K. H., G. Ji, C. P. Lim, and M. L. Tseng. 2017. “Using Big Data to Make Better Decisions in the Digital Economy.” International Journal of Production Research 55 (17): 4998–5000. doi:10.1080/00207543.2017.1331051.
   Web of Science ®Google Scholar
• Thomas, J., and A. Harden. 2008. “Methods for the Thematic Synthesis of Qualitative Research in Systematic Reviews.” BMC Medical Research Methodology 8 (1): 45. doi:10.1186/1471-2288-8-45.
   PubMed Web of Science ®Google Scholar
• Thramboulidis, K. 2015. “A Cyber–Physical System-Based Approach for Industrial Automation Systems.” Computers in Industry 72: 92–102. doi:10.1016/j.compind.2015.04.006.
   Web of Science ®Google Scholar
• Thramboulidis, K., and F. Christoulakis. 2016. “UML4IoT—A UML-Based Approach to Exploit IoT in Cyber-Physical Manufacturing Systems.” Computers in Industry 82: 259–272. doi:10.1016/j.compind.2016.05.010.
   Web of Science ®Google Scholar
• Tortorella, G. L., and D. Fettermann. 2017. “Implementation of Industry 4.0 and Lean Production in Brazilian Manufacturing Companies.” International Journal of Production Research 56 (8): 2975–2987. doi:10.1080/00207543.2017.1391420.
   Web of Science ®Google Scholar
• Touboulic, A., and H. Walker. 2015. “Theories in Sustainable Supply Chain Management: A Structured Literature Review.” International Journal of Physical Distribution and Logistics Management 45 (1/2): 16–42.
   Google Scholar
• Tranfield, D., D. Denyer, and P. Smart. 2003. “Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review.” British Journal of Management 14 (3): 207–222. doi:10.1111/1467-8551.00375.
   Web of Science ®Google Scholar
• Trkman, P., K. McCormack, M. P. V. De Oliveira, and M. B. Ladeira. 2010. “The Impact of Business Analytics on Supply Chain Performance.” Decision Support Systems 49 (3): 318–327. doi:10.1016/j.dss.2010.03.007.
   Web of Science ®Google Scholar
• Uckelmann, D., F. Michahelles, and M. Harisson. 2011. “An Architectural Approach towards the Future Internet of Things.” In Architecting the Internet of Things, edited by Dieter Uckelmann, 1–24. Berlin: Springer.
   Google Scholar
• Upton, D. M. 1995. “Flexibility as Process Mobility: The Management of Plant Capabilities for Quick Response Manufacturing.” Journal of Operations Management 12 (3–4): 205–224. doi:10.1016/0272-6963(95)00004-C.
   Google Scholar
• Waldman, J., and F. Schargel. 2006. “Twins in Trouble (II): Systems Thinking in Healthcare and Education.” Total Quality Management & Business Excellence 17 (1): 117–130. doi:10.1080/14783360500250040.
   Web of Science ®Google Scholar
• Waller, M. A., and S. E. Fawcett. 2013. “Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management.” Journal of Business Logistics 34 (2): 77–84. doi:10.1111/jbl.12010.
   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
• Wamba, S. F., S. Akter, A. Edwards, G. Chopin, and D. Gnanzou. 2015. “How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study.” International Journal of Production Economics 165 (1): 234–246. doi:10.1016/j.ijpe.2014.12.031.
   Google Scholar
• Wiengarten, F., and A. Longoni. 2015. “A Nuanced View on Supply Chain Integration: A Coordinative and Collaborative Approach to Operational and Sustainability Performance Improvement.” Supply Chain Management: An International Journal 20 (2): 139–150. doi:10.1108/SCM-04-2014-0120.
   Web of Science ®Google Scholar
• Wiengarten, F., P. Humphreys, A. McKittrick, and B. Fynes. 2013. “Investigating the Impact of e-Business Applications on Supply Chain Collaboration in the German Automotive Industry.” International Journal of Operations & Production Management 33 (1): 25–48. doi:10.1108/01443571311288039.
   Web of Science ®Google Scholar
• Xu, L. D. 2011. “Information Architecture for Supply Chain Quality Management.” International Journal of Production Research 49 (1): 183–198. doi:10.1080/00207543.2010.508944.
   Web of Science ®Google Scholar
• Yu, S., A. N. Mishra, A. Gopal, S. Slaughter, and T. Mukhopadhyay. 2015. “E-Procurement Infusion and Operational Process Impacts in MRO Procurement: Complementary or Substitutive Effects?” Production and Operations Management 24 (7): 1054–1107. doi:10.1111/poms.12362.
   Web of Science ®Google Scholar
• Zhang, Y., T. Qu, O. K. Ho, and G. Q. Huang. 2011. “Agent-Based Smart Gateway for RFID-Enabled Real-Time Wireless Manufacturing.” International Journal of Production Research 49 (5): 1337–1352. doi:10.1080/00207543.2010.518743.
   Web of Science ®Google Scholar
• Zhong, R. Y., C. Xu, C. Chen, and G. Q. Huang. 2015. “Big Data Analytics for Physical Internet-Based Intelligent Manufacturing Shop Floor.” International Journal of Production Research 55 (9): 1–12. doi:10.1080/00207543.2015.1086037.
   Web of Science ®Google Scholar
• Zikmund, W. G., B. J. Babin, J. C. Carr, and M. Griffin. 2013. Business Research Methods. 9th ed. Mason: Cengage Learning.
   Google Scholar