How to cite this paper
Kang, M & Stephens, A. (2022). Supply chain resilience and operational performance amid COVID-19 supply chain interruptions: Evidence from South Korean manufacturers.Uncertain Supply Chain Management, 10(2), 383-398.
Refrences
Aghajanian, S. (2018). An Empirical Procurement Risk Management Framework in Supply Chain Networks: A Hybrid Approach. Industrial Engineering and Management Systems, 17(4), 730–744.
Akman, I. & Mishra, A. (2014). Green information technology practices among IT professionals: Theory of planned behavior perspective. Problems of Sustainable Development, 9(2), 47–54.
Ali, A., Mahfouz, A., & Arisha, A. (2017). Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review. Supply Chain Management, 22(1), 16–39.
Ali, I. & Shukran, K. (2016). Managing supply chain risks and vulnerability through collaboration: Present and future scope. The Journal of Developing Areas, 50(5), 335–342.
Ali, M., Suleiman, N., Khalid, N., Tan, K., Tseng, M., & Kumar, M. (2021). Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis. Trends in Food Science & Technology, 109, 94–102.
Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111-122.
Argyris, C. & Schön, D. A. (1974). Theory in practice: Increasing professional effectiveness. Jossey-Bass.
Asadi, S., Nilashi, M., Safaei, M., Abdullah, R., Saeed, F., Yadegaridehkordi, E., & Samad, S. (2019). Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing Industry. Resources, Conservation and Recycling, 148, 36–54.
Barclay, M. J., Smith, C. W., & Watts, R. L. (1995). The determinants of corporate leverage and dividend Policies. Journal of Applied Corporate Finance, 7(4), 4–19.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 3–15.
Baz, J. & Ruel, S. (2021). Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era. International Journal of Production Economics, 233, 107972.
Belhadi, A., Kamble, S., Jabbour, C. Gunasekaran, A., Ndubisi, N., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting & Social Change, 163, 120447.
Blackhurst, J., Dunn, K. S., & Craighead, C. W. (2011). An empirically derived framework of global supply Resiliency. Journal of Business Logistics, 32(4), 374–391.
Blome, C., Schoenherr, T., & Rexhausen, D. (2013). Antecedents and enablers of supply Chain agility and its effect on performance: a dynamic capabilities perspective. International Journal of Production Research, 51(4), 1295–¬1318.
Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M. (2011). Understanding responses to supply chain disruptions: Insights from information processing and resource dependence perspectives. Academy of Management Journal, 54(4), 833–856.
Bret, A. J. (2020). COVID-19 Response and Recovery: Some views from UNCITRAL. International Trade Law, 148(3), 3–15.
Brusset, X. & Teller, C. (2017). Supply chain capabilities, risks, and resilience. International Journal of Production Economics, 184, 59–68.
Cepeda-Carrion., G., Juan, -G. C. -N., & Cillo, V. (2018). Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management. Journal of Knowledge Management, 23(1), 67–89.
Chandra, C. & Grabis, J. (2007). Supply Chain Configuration: concepts, solutions, and applications. Springer.
Chen, Y., Duan, L., & Zhang, W. (2020). Effect of User Involvement in Supply Chain Cloud Innovation: A Game Theoretical Model and Analysis. Journal of Global Information Management, 28(1), 23–38.
Chen, Y., Tang, G., Jin, J., Li, J., & Paillé, P. (2015). Linking market orientation and environmental performance: The influence of environmental strategy, employee’s environmental involvement, and environmental product quality. Journal of Business Ethics, 127(2), 479–500.
Chopra, S. & Meindl, P. (2010). Supply Chain Management: Strategy, Planning, and Operation, Pearson Education.
Chowdhury, M., Quaddus, M., & Agaarwal, R. (2019). Supply chain resilience for performance: role of relational practices and network complexities. Supply Chain Management: An International Journal, 24(5), 659–676.
Cooper, M. C., Lambert, D. M., & Pagh, J. D. (1997). Supply chain management: More than a new name for Logistics. The International Journal of Logistics Management, 8(1), 1–14.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information Technology. MIS Quarterly, 13(3), 319–339.
DiMaggio, P. J. & Powell, W. W. (1983). And collective rationality in organizational fields. American Sociological Review, 48(2). 147–160.
European Journal of Operational Research, 247, 1–15.
Flynn, B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28, 58–71.
Fornell, C. & Larcker, D. F. (1981). Structural equation models with unobservable variables and Measurement error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388.
Galbraith, J. R. (1974). Organization Design: An Information Processing View. Interfaces, 4(5), 28–36.
Galbraith, J. R. (1973). Designing Complex Organizations. Addison-Wesley. MA. USA.
Golgeci, I. & Y. Ponomarov, S. (2013). Does firm innovativeness enable effective responses to supply chain disruptions? An empirical study. Supply Chain Management, 18(6), 604–617.
Goodman, P. S., Stephenson, A., Chokshi, N., & Corkery. M. (2021). I’ve Never Seen Anything Like This’: Chaos Strikes Global Shipping. The New York Times. Retrieved March 15. 2021: https://www.nytimes.com/2021/03/06/business/global-shipping.html
Gu, M. & Huo, B. (2021). The impact of information technology usage on supply chain resilience and performance: an ambidextrous view. International Journal of Production Economics, 232, 107956.
Gu, M. & Huo, B. (2017). The impact of supply chain resilience on company performance: a dynamic capability perspective. Academy of Management Proceedings, 2017(1).
Han, H. & Hyun, S. S. (2017). Impact of hotel-restaurant image and quality of physical-environment, service, and food on satisfaction and intention. International Journal of Hospitality Management, 63, 82–92.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing. Emerald Group Publishing Limited.
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580.
Hair. Jr., J. Hult, G., Ringle, C., & Sarstedt, M. (2014). A primer on Partial Least Squares Structural Equation Modeling PLS-SEM. Sage publications Ltd.
Hosseinian, S. S. & Zahra, J.J. (2012). Major theories of construction accident causation models: A literature review. International Journal of Advances in Engineering and Technology, 4(2), 55–66.
Jee, J. & Bae, E. (2020). 감염병 확산 모형을 이용한 경제전망. Bank of Korea, 74(6), 16–38.
Jermsittiparsert, K., Sutduean, J., & Sriyakul, T. (2019). Effect of Service Innovation and Market Intelligence on Supply Chain Performance in Indonesian Fishing Industry. Industrial Engineering and Management Systems 18(3), 407–416.
Jihadi, M., Usman, I., Asrini, A. Musnaini, M. Lutfi, L., Indrawijaya, S., & Dahmiri, D. (2020). The Effect of Supply Chain Dynamism and Supply Chain Disruption Orientation on Supply Chain Resilience in Indonesian Manufacturing Industry. International Journal of Supply Chain Management, 9(4), 2051–3771.
Jüttner, U., Peck, H., & Martin, C. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics: Research and Application, 6(4), 197–210.
Jüttner, U. & Maklan, S. (2011). Supply chain resilience in the global financial crisis: an empirical study. Supply Chain Management: An International Journal, 16(4), 246¬–259.
Kamalahmadi, M. & Mellat-Parast, M. (2016). Developing a resilient supply chain through Supplier flexibility and reliability assessment. International Journal of Production Research, 54(1), 302¬–321.
Kang, M. & Kim, S. (2017). A Study of the Effects of Relational Characteristics as an Antecedent to SCM Activity and Performance among Taiwanese Manufacturing Companies. International Business Review, 21(4), 167–191.
Kaplan, R. S. & Norton, D. P. (1996). Using the balanced scorecard as a strategic management system. Harvard Business Review, 35–47.
Liu, S., Zhang, J., Keil, M., & Chen, T. (2010). Comparing senior executive and project manager perceptions of IT project risk: a Chinese Delphi study. Information Systems Journal, 20(4), 319–355.
Nitzl, C., Roldan, J.L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management and Data Systems, 116(9), 1849–1864.
Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric theory, 3rd. New York. NY: McGraw-Hill.
Manners-Bell, J. (2020). Supply Chain Risk Management: How to design and manage resilient supply Chains. 3rd edition. Kogan Page.
Marcoulides, G. A. & Saunders, C. (2006). Editor's comments: PLS: a silver bullet? MIS Quarterly, 30(2). 3-4.
Mentzer, J., DeWitt, W., Keebler, J., Min, S., Nix, N., Smith, C., & Zacharia, Z. (2001). Defining supply chain Management. Journal of Business Logistics, 22(2), 1–25.
Melnyk, S. A., Closs, D. J., Griffs, S.E., Zobel, C. W., & Macdonal, J. R. (2014). Understanding supply chain Resilience. Supply Chain Management Review, 18(1), 34–41.
Mubarik, M., Naghavi, N., Mubarik, M., Kusi-Sarpong, S., Khan, S., Zaman, S., & Kazmi, S. (2021). Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility. Journal of Cleaner Production, 292, 1–12.
Ocasio, W. (1997). Towards an attention‐based view of the firm, Strategic Management Journal, 18 (1), 187–206.
Parast, M. M. (2020). The impact of R&D investment on mitigating supply chain disruptions: Empirical evidence from US firms. International Journal of Production Economics, 227, 107671.
Perrow, C. (1994). Accidents in high-risk systems. Technology Studies, 1(1), 1–20.
Pike, J., Bogich, T., Elwood, S., Finnoff, D., & Daszak, P. (2014). Economic optimization of a global strategy to address the pandemic threat. Proceedings of the National Academy of Sciences of the United States of America, 111(52), 18519–18523.
Polyviou, M., Croxton, K., & Knemeyer, A. (2020). Resilience of medium-sized firms to supply chain disruptions: the role of internal social capital. International Journal of Operations and Production Management, 40(1), 68–91.
Ponis, S. (2010). Managing Risk in Virtual Enterprise Networks: Implementing Supply Chain Principles. Business Science Reference, 2010, 184–304.
Puviyarasu, S.A., & Cunha, C. (2021). Smart Factory: From concepts to operational sustainable outcomes using test-beds. Log Forum, 17(1), 7–23.
Qazi, A., Dickson, A., Qingley, J., & Gaudenzi, B. (2018). Supply chain risk network management: A Bayesian belief network and expected utility-based approach for managing supply chain risks. International Journal of Production Economics, 196, 24–42.
Reason, J. T. (1977). Skill and error in everyday life. In M. J. A. Howe (Ed.). Adult learning. London: Wiley.
Richter, N. F., Cepeda-Carrion, G., Roldán Salgueiro, J. L., & Ringle, C. M. (2016). European management research using partial least squares structural equation modeling PLS-SEM. European Management Journal, 34(6), 589–597.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor's comments: a critical look at the use of PLS-SEM in “MIS Quarterly”. MIS Quarterly, 36(1), 1–12.
Rogers, E. M. (2003). Diffusion of Innovations. 5th ed. New York: Free Press.
Sagan, S. D. (1995). The limits of safety: Organizations, Accidents, and Nuclear Weapons. Princeton University Press.
Sawik, T. (2020). Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming. 2nd Edition. Springer.
Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair Jr, J. F. (2014). Partial least squares structural equation modeling PLS-SEM: A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115.
Scheer, A.W., Kruppe, H., Jost, W., & Kindermann, H. (2006). Agility by ARIS Business Process Management. Springer.
Scholten, K. & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471–484.
Sheffi, Y. (2005). The Resilient Enterprise. Massachusetts Institute of Technology.
Sheffi, Y. & Rice, Jr. J. B. (2005). A supply chain view of the resilient enterprise. Sloan Management Review, 47(1), 41-48.
Simões, A., Soares, A., & Barros, A. (2020). Factors influencing the intention of managers to adopt collaborative robots(cobots) in manufacturing organizations, Journal of Engineering and Technology Management, 57, 1–15.
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Akman, I. & Mishra, A. (2014). Green information technology practices among IT professionals: Theory of planned behavior perspective. Problems of Sustainable Development, 9(2), 47–54.
Ali, A., Mahfouz, A., & Arisha, A. (2017). Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review. Supply Chain Management, 22(1), 16–39.
Ali, I. & Shukran, K. (2016). Managing supply chain risks and vulnerability through collaboration: Present and future scope. The Journal of Developing Areas, 50(5), 335–342.
Ali, M., Suleiman, N., Khalid, N., Tan, K., Tseng, M., & Kumar, M. (2021). Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis. Trends in Food Science & Technology, 109, 94–102.
Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111-122.
Argyris, C. & Schön, D. A. (1974). Theory in practice: Increasing professional effectiveness. Jossey-Bass.
Asadi, S., Nilashi, M., Safaei, M., Abdullah, R., Saeed, F., Yadegaridehkordi, E., & Samad, S. (2019). Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing Industry. Resources, Conservation and Recycling, 148, 36–54.
Barclay, M. J., Smith, C. W., & Watts, R. L. (1995). The determinants of corporate leverage and dividend Policies. Journal of Applied Corporate Finance, 7(4), 4–19.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 3–15.
Baz, J. & Ruel, S. (2021). Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era. International Journal of Production Economics, 233, 107972.
Belhadi, A., Kamble, S., Jabbour, C. Gunasekaran, A., Ndubisi, N., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting & Social Change, 163, 120447.
Blackhurst, J., Dunn, K. S., & Craighead, C. W. (2011). An empirically derived framework of global supply Resiliency. Journal of Business Logistics, 32(4), 374–391.
Blome, C., Schoenherr, T., & Rexhausen, D. (2013). Antecedents and enablers of supply Chain agility and its effect on performance: a dynamic capabilities perspective. International Journal of Production Research, 51(4), 1295–¬1318.
Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M. (2011). Understanding responses to supply chain disruptions: Insights from information processing and resource dependence perspectives. Academy of Management Journal, 54(4), 833–856.
Bret, A. J. (2020). COVID-19 Response and Recovery: Some views from UNCITRAL. International Trade Law, 148(3), 3–15.
Brusset, X. & Teller, C. (2017). Supply chain capabilities, risks, and resilience. International Journal of Production Economics, 184, 59–68.
Cepeda-Carrion., G., Juan, -G. C. -N., & Cillo, V. (2018). Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management. Journal of Knowledge Management, 23(1), 67–89.
Chandra, C. & Grabis, J. (2007). Supply Chain Configuration: concepts, solutions, and applications. Springer.
Chen, Y., Duan, L., & Zhang, W. (2020). Effect of User Involvement in Supply Chain Cloud Innovation: A Game Theoretical Model and Analysis. Journal of Global Information Management, 28(1), 23–38.
Chen, Y., Tang, G., Jin, J., Li, J., & Paillé, P. (2015). Linking market orientation and environmental performance: The influence of environmental strategy, employee’s environmental involvement, and environmental product quality. Journal of Business Ethics, 127(2), 479–500.
Chopra, S. & Meindl, P. (2010). Supply Chain Management: Strategy, Planning, and Operation, Pearson Education.
Chowdhury, M., Quaddus, M., & Agaarwal, R. (2019). Supply chain resilience for performance: role of relational practices and network complexities. Supply Chain Management: An International Journal, 24(5), 659–676.
Cooper, M. C., Lambert, D. M., & Pagh, J. D. (1997). Supply chain management: More than a new name for Logistics. The International Journal of Logistics Management, 8(1), 1–14.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information Technology. MIS Quarterly, 13(3), 319–339.
DiMaggio, P. J. & Powell, W. W. (1983). And collective rationality in organizational fields. American Sociological Review, 48(2). 147–160.
European Journal of Operational Research, 247, 1–15.
Flynn, B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28, 58–71.
Fornell, C. & Larcker, D. F. (1981). Structural equation models with unobservable variables and Measurement error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388.
Galbraith, J. R. (1974). Organization Design: An Information Processing View. Interfaces, 4(5), 28–36.
Galbraith, J. R. (1973). Designing Complex Organizations. Addison-Wesley. MA. USA.
Golgeci, I. & Y. Ponomarov, S. (2013). Does firm innovativeness enable effective responses to supply chain disruptions? An empirical study. Supply Chain Management, 18(6), 604–617.
Goodman, P. S., Stephenson, A., Chokshi, N., & Corkery. M. (2021). I’ve Never Seen Anything Like This’: Chaos Strikes Global Shipping. The New York Times. Retrieved March 15. 2021: https://www.nytimes.com/2021/03/06/business/global-shipping.html
Gu, M. & Huo, B. (2021). The impact of information technology usage on supply chain resilience and performance: an ambidextrous view. International Journal of Production Economics, 232, 107956.
Gu, M. & Huo, B. (2017). The impact of supply chain resilience on company performance: a dynamic capability perspective. Academy of Management Proceedings, 2017(1).
Han, H. & Hyun, S. S. (2017). Impact of hotel-restaurant image and quality of physical-environment, service, and food on satisfaction and intention. International Journal of Hospitality Management, 63, 82–92.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing. Emerald Group Publishing Limited.
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580.
Hair. Jr., J. Hult, G., Ringle, C., & Sarstedt, M. (2014). A primer on Partial Least Squares Structural Equation Modeling PLS-SEM. Sage publications Ltd.
Hosseinian, S. S. & Zahra, J.J. (2012). Major theories of construction accident causation models: A literature review. International Journal of Advances in Engineering and Technology, 4(2), 55–66.
Jee, J. & Bae, E. (2020). 감염병 확산 모형을 이용한 경제전망. Bank of Korea, 74(6), 16–38.
Jermsittiparsert, K., Sutduean, J., & Sriyakul, T. (2019). Effect of Service Innovation and Market Intelligence on Supply Chain Performance in Indonesian Fishing Industry. Industrial Engineering and Management Systems 18(3), 407–416.
Jihadi, M., Usman, I., Asrini, A. Musnaini, M. Lutfi, L., Indrawijaya, S., & Dahmiri, D. (2020). The Effect of Supply Chain Dynamism and Supply Chain Disruption Orientation on Supply Chain Resilience in Indonesian Manufacturing Industry. International Journal of Supply Chain Management, 9(4), 2051–3771.
Jüttner, U., Peck, H., & Martin, C. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics: Research and Application, 6(4), 197–210.
Jüttner, U. & Maklan, S. (2011). Supply chain resilience in the global financial crisis: an empirical study. Supply Chain Management: An International Journal, 16(4), 246¬–259.
Kamalahmadi, M. & Mellat-Parast, M. (2016). Developing a resilient supply chain through Supplier flexibility and reliability assessment. International Journal of Production Research, 54(1), 302¬–321.
Kang, M. & Kim, S. (2017). A Study of the Effects of Relational Characteristics as an Antecedent to SCM Activity and Performance among Taiwanese Manufacturing Companies. International Business Review, 21(4), 167–191.
Kaplan, R. S. & Norton, D. P. (1996). Using the balanced scorecard as a strategic management system. Harvard Business Review, 35–47.
Liu, S., Zhang, J., Keil, M., & Chen, T. (2010). Comparing senior executive and project manager perceptions of IT project risk: a Chinese Delphi study. Information Systems Journal, 20(4), 319–355.
Nitzl, C., Roldan, J.L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management and Data Systems, 116(9), 1849–1864.
Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric theory, 3rd. New York. NY: McGraw-Hill.
Manners-Bell, J. (2020). Supply Chain Risk Management: How to design and manage resilient supply Chains. 3rd edition. Kogan Page.
Marcoulides, G. A. & Saunders, C. (2006). Editor's comments: PLS: a silver bullet? MIS Quarterly, 30(2). 3-4.
Mentzer, J., DeWitt, W., Keebler, J., Min, S., Nix, N., Smith, C., & Zacharia, Z. (2001). Defining supply chain Management. Journal of Business Logistics, 22(2), 1–25.
Melnyk, S. A., Closs, D. J., Griffs, S.E., Zobel, C. W., & Macdonal, J. R. (2014). Understanding supply chain Resilience. Supply Chain Management Review, 18(1), 34–41.
Mubarik, M., Naghavi, N., Mubarik, M., Kusi-Sarpong, S., Khan, S., Zaman, S., & Kazmi, S. (2021). Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility. Journal of Cleaner Production, 292, 1–12.
Ocasio, W. (1997). Towards an attention‐based view of the firm, Strategic Management Journal, 18 (1), 187–206.
Parast, M. M. (2020). The impact of R&D investment on mitigating supply chain disruptions: Empirical evidence from US firms. International Journal of Production Economics, 227, 107671.
Perrow, C. (1994). Accidents in high-risk systems. Technology Studies, 1(1), 1–20.
Pike, J., Bogich, T., Elwood, S., Finnoff, D., & Daszak, P. (2014). Economic optimization of a global strategy to address the pandemic threat. Proceedings of the National Academy of Sciences of the United States of America, 111(52), 18519–18523.
Polyviou, M., Croxton, K., & Knemeyer, A. (2020). Resilience of medium-sized firms to supply chain disruptions: the role of internal social capital. International Journal of Operations and Production Management, 40(1), 68–91.
Ponis, S. (2010). Managing Risk in Virtual Enterprise Networks: Implementing Supply Chain Principles. Business Science Reference, 2010, 184–304.
Puviyarasu, S.A., & Cunha, C. (2021). Smart Factory: From concepts to operational sustainable outcomes using test-beds. Log Forum, 17(1), 7–23.
Qazi, A., Dickson, A., Qingley, J., & Gaudenzi, B. (2018). Supply chain risk network management: A Bayesian belief network and expected utility-based approach for managing supply chain risks. International Journal of Production Economics, 196, 24–42.
Reason, J. T. (1977). Skill and error in everyday life. In M. J. A. Howe (Ed.). Adult learning. London: Wiley.
Richter, N. F., Cepeda-Carrion, G., Roldán Salgueiro, J. L., & Ringle, C. M. (2016). European management research using partial least squares structural equation modeling PLS-SEM. European Management Journal, 34(6), 589–597.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor's comments: a critical look at the use of PLS-SEM in “MIS Quarterly”. MIS Quarterly, 36(1), 1–12.
Rogers, E. M. (2003). Diffusion of Innovations. 5th ed. New York: Free Press.
Sagan, S. D. (1995). The limits of safety: Organizations, Accidents, and Nuclear Weapons. Princeton University Press.
Sawik, T. (2020). Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming. 2nd Edition. Springer.
Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair Jr, J. F. (2014). Partial least squares structural equation modeling PLS-SEM: A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115.
Scheer, A.W., Kruppe, H., Jost, W., & Kindermann, H. (2006). Agility by ARIS Business Process Management. Springer.
Scholten, K. & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471–484.
Sheffi, Y. (2005). The Resilient Enterprise. Massachusetts Institute of Technology.
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