How to cite this paper
Aigbogun, O., Xing, M., Fawehinmi, O., Ibeabuchi, C., Ehido, A., Ahmad, R & Abdullahi, M. (2022). A supply chain resilience model for business continuity: The way forward for highly regulated industries.Uncertain Supply Chain Management, 10(1), 1-12.
Refrences
Aigbogun, O., Ghazali, Z., & Razali, R. (2014). A framework to enhance supply chain resilience the case of Malaysian pharmaceutical industry. Global Business and Management Research, 6(3), 219.
Aigbogun, O., Ghazali, Z., & Razali, R. (2018). Collaborative Regulation and Supply Chain Resilience: A Conceptual Paper. In SHS Web of Conferences (Vol. 56, p. 05002). EDP Sciences.
Aigbogun, O., Ghazali, Z., & Razali, R. (2017). The Impact of Regulatory Function on Supply Chain Resilience: Reliability of Measurement Scales. Global Business and Management Research: An International Journal, 9(1s), 524-531
Adobor, H. (2019). Supply chain resilience: a multi-level framework. International Journal of Logistics Research and Applications, 22(6), 533-556.
Aldrich, H. E. & Pfeffer, J. (1976). Environments of organizations. Annual Review of Sociology, 2, 79-105.
Barroso, A. P., Machado, V. C., & Machado, V. H. (2011). Supply chain resilience using the mapping approach. InTech Open Access Publisher.
Becker, J.M., Klein, K. & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Planning, 45(5), 359-394.
Blackhurst, J., Craighead, C.W., Elkins, D. & Handfield, R.B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43(19), 4067-4081.
Blos, M. F., Wee, H. M., & Yang, W. H. (2012). Supply chain risk management: resilience and business continuity. In Handbook on decision making (pp. 219-236). Springer, Berlin, Heidelberg.
Burger, K., & Warner, J. (2012). Risk Governance of Food Supply Chains. International risk governance council (IRGC) as part of project work on public sector governance of emerging risks.
Burtles, J. (2016). Principles and Practice of Business Continuity: Tools and Techniques Second Edition. Rothstein Publishing.
Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163-180.
Chatterjee, S., & Chaudhuri, R. (2021). Supply chain sustainability during turbulent environment: Examining the role of firm capabilities and government regulation. Operations Management Research, 1-15.
Chen, H., Daugherty, P. J., & Roath, A. S. (2009). Defining and operationalizing supply chain process integration. Journal of Business Logistics, 30(1), 63-84.
Chowdhury, M.M.H. & Quaddus, M.A. (2016). Supply chain readiness, response and recovery for resilience. Supply Chain Management: An International Journal, 21(6), 709-731.
Christopher, M. & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1-13.
Christopher, M. (2016). Logistics & supply chain management. Pearson UK.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, Lawrence Erlbaum Associates, Hillsdale, NJ.
Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
Deloitte. Supply Chain Resilience (2012). A Risk Intelligent approach to managing global supply chains. White paper, 2012, http://www.deloitte.com/assets/DcomUnitedStates/Local%20Assets/Documents/us_consulting_supplychainresilience_052312.pdf (Accessed 25 Nov 2020).
DiMaggio, J., & Powell, W. (1983). The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 147-60.
Esper, T.L., Defee, C.C. & Mentzer, J.T. (2010). A framework of supply chain orientation. International Journal of Logistics Management, 21(2), 161-179.
Fakoor, A. M., Olfat, L., Feizi, K., & Amiri, M. (2013). A method for measuring supply chain resilience in the automobile industry. Journal of Basic and Applied Scientific Research, 3(2), 537-544
Fayezi, S., O'Loughlin, A., & Zutshi, A. (2012). Agency theory and supply chain management: a structured literature review. Supply Chain Management: An International Journal, 17(5), 556-570
Feyzioglu, O., Buyukozkan, G., & Ersoy, M. S. (2007, December). Supply chain risk analysis with fuzzy cognitive maps. In Industrial Engineering and Engineering Management, 2007 IEEE International Conference on (pp. 1447-1451). IEEE.
Fiksel, J. (2003). Designing resilient, sustainable systems. Environmental Science & Technology, 37(23), 5330-5339.
Fornell, C. & Larcker, D.F. (1981). Evaluating structural equations models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gölgeci, I. & Ponomarov, S.Y. (2015). How does firm innovativeness enable supply chain resilience? The moderating role of supply uncertainty and interdependence. Technology Analysis & Strategic Management, 27(3), 267-282.
Gotz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of Structural Equation Models Using the Partial Least Partial Least Squares (PLS) Approach. In V.E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications in marketing and related fields (pp. 691-711). Berlin: Springer.
Hair, J., Hult, T., Ringle, C. & Sarstedt, M., (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). [online] Available at: http://hdl.handle.net/11420/4083
Hair, J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage, Thousand Oaks, CA.
Hair, J.F., Ringle, C.M. & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.
Henseler, J., Ringle, C. & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing (AIM), 20(1), 277-320.
Jackson, N. (1997). Academic regulation in UK higher education: part I ‐ the concept of collaborative regulation. Quality Assurance in Education, 5(3), 120 – 135
Jain, P., Vyas, V. & Chalasani, D. P. S. (2016). Corporate social responsibility and financial performance in SMEs: A structural equation modelling approach. Global Business Review, [e-journal] 17(3), 630–53. https://doi. org/10.1177/0972150916630827
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.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educ psychol meas.
Latan, H., & Ghozali, I. (2012a). Partial Least Squares: Concept, Technique and Application SmartPLS 2.0 M3, Badan Penerbit Universitas Diponegoro, Semarang.
Latan, H., & Ghozali, I. (2012b). Partial Least Squares: Concept, Metode and Application WarpPLS for Empirical Research, Badan Penerbit Universitas Diponegoro, Semarang.
Latan, H., & Ramli, N. A. (2013). The Results of Partial Least Squares-Structural Equation Modelling Analyses (PLS-SEM).
Li, G., Fan, H., Lee, P. K., & Cheng, T. C. E. (2015). Joint supply chain risk management: an agency and collaboration perspective. International Journal of Production Economics, 164, 83-94.
Mello, J. E., & Stank, T. P. (2005). Linking firm culture and orientation to supply chain success. International Journal of Physical Distribution & Logistics Management, 35(8), 542-554.
Mehralian, G., Moosivand, A., Emadi, S., & Asgharian, R. (2017). Developing a coordination framework for pharmaceutical supply chain: using analytical hierarchy process. International Journal of Logistics System Management, 26(3), 277–93.
Min, S., & Mentzer, J. T. (2004). Developing and measuring supply chain management concepts. Journal of business logistics, 25(1), 63-99.
Min, S., Mentzer, J. T., & Ladd, R. T. (2007). A market orientation in supply chain management. Journal of the Academy of Marketing Science, 35(4), 507.
OECD (2010). Regulatory Policy and the Road to Sustainable Growth. Organisation for Economic Co-operation and Development 2010 Report.
Perrow, C. (1986). Complex organizations: A critical essay, New York: Random House
Pettit, T. J. (2008). Supply chain resilience: development of a conceptual framework, an assessment tool and an implementation process (Doctoral dissertation, The Ohio State University).
Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013). Ensuring supply chain resilience: development and implementation of an assessment tool. Journal of Business Logistics, 34(1), 46-76.
Pettit, T.J., Fiksel, J. & Croxton, K.L. (2011). Ensuring supply chain resilience: development of a conceptual framework. Journal of Business Logistics, 31(1), 1-21.
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143.
Preacher, K.J. & Hayes, A.F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods Instruments, and Computers, 36(4), 717-731.
Preacher, K.J. & Hayes, A.F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.
Rice, J.B., & Caniato, F. (2003). Building a Secure and Resilient Supply Network. Supply Chain Management Review, 7(5), 22-30
Scholten, K., Sharkey Scott, P. & Fynes, B. (2014). Mitigation processes – antecedents for building supply chain resilience. Supply Chain Management: An International Journal, 19(2), 211-228.
Scott, W. R. (2008). Approaching adulthood: the maturing of institutional theory. Theory and Society, 37(5), 427.
Shapiro, S.P. (2005). Agency theory. Annual Reviews of Sociology, 31, 263-284.
Sheffi, Y. (2005). The resilient enterprise. MIT Sloan Management Review, 47(1).
Stone, M., (1974). Cross-Validatory Choice and Assessment of Statistical Predictions. Journal of the Royal Statistical Society: Series B (Methodological), [e-journal] 36(2), 111–133. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x
Svensson, G. (2002). A conceptual framework of vulnerability in firms’ in-bound and out-bound logistics flows. International Journal of Physical Distribution and Logistics Management, 32(2), 110-3
Trucco, P., & Ward, D. (2011). A clustering approach to the operational resilience analysis of key resource supply chains (KRSC): The case of fast Moving Consumer Goods. In 2011 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 990-994). IEEE.
Tukamuhabwa, B.R., Stevenson, M., Busby, J. & Zorzini, M. (2015). Supply chain resilience: definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18), 5592-5623
Ubidia Batallas, J. A. (2014). How to define and measure supply chain resilience (Master's thesis, Burdeos/Kedge Business School/2014).
Umang, S., & Vipul, J. (2011). Minimizing the vulnerabilities of supply chain: A new framework for enhancing the resilience. Proceedings of the 2011 Institute of Electrical and Electronics
Wagner, S. & Bode, C., (2006). An empirical investigation into supply chain vulnerability. Journal of Purchasing & Supply Management, 12(6), 301-312
Waters, D. (2011). Supply chain risk management: vulnerability and resilience in logistics. Kogan Page Publishers
Wetzels, M., Odekerken-Schroder, G. & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quarterly, 33(1), 177-195.
Yunus, E. N. (2012). Drivers of supply chain integration and the role of organizational culture: empirical evidence from Indonesia. Southern Illinois University, Carbondale.
Yunus, E. N., & Tadisina, S. K. (2016). Drivers of supply chain integration and the role of organizational culture: Empirical evidence from Indonesia. Business Process Management Journal, 22(1), 89-115
Zailani, S., Premkumar, R., & Fernando, Y. (2008). Factors influencing the effectiveness of operational information sharing within supply chain channels in Malaysia. Operations and Supply Chain Management, 1(2), 85-100.
Zhao, H. (2016). Why collaborative regulation is critical. International Telecommunications Union, 3, 4-21
Zsidisin, G. A., Melnyk, S. A., & Ragatz, G. L. (2005). An institutional theory perspective of business continuity planning for purchasing and supply management. International Journal of Production Research, 43(16), 3401-3420.
Aigbogun, O., Ghazali, Z., & Razali, R. (2018). Collaborative Regulation and Supply Chain Resilience: A Conceptual Paper. In SHS Web of Conferences (Vol. 56, p. 05002). EDP Sciences.
Aigbogun, O., Ghazali, Z., & Razali, R. (2017). The Impact of Regulatory Function on Supply Chain Resilience: Reliability of Measurement Scales. Global Business and Management Research: An International Journal, 9(1s), 524-531
Adobor, H. (2019). Supply chain resilience: a multi-level framework. International Journal of Logistics Research and Applications, 22(6), 533-556.
Aldrich, H. E. & Pfeffer, J. (1976). Environments of organizations. Annual Review of Sociology, 2, 79-105.
Barroso, A. P., Machado, V. C., & Machado, V. H. (2011). Supply chain resilience using the mapping approach. InTech Open Access Publisher.
Becker, J.M., Klein, K. & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Planning, 45(5), 359-394.
Blackhurst, J., Craighead, C.W., Elkins, D. & Handfield, R.B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43(19), 4067-4081.
Blos, M. F., Wee, H. M., & Yang, W. H. (2012). Supply chain risk management: resilience and business continuity. In Handbook on decision making (pp. 219-236). Springer, Berlin, Heidelberg.
Burger, K., & Warner, J. (2012). Risk Governance of Food Supply Chains. International risk governance council (IRGC) as part of project work on public sector governance of emerging risks.
Burtles, J. (2016). Principles and Practice of Business Continuity: Tools and Techniques Second Edition. Rothstein Publishing.
Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163-180.
Chatterjee, S., & Chaudhuri, R. (2021). Supply chain sustainability during turbulent environment: Examining the role of firm capabilities and government regulation. Operations Management Research, 1-15.
Chen, H., Daugherty, P. J., & Roath, A. S. (2009). Defining and operationalizing supply chain process integration. Journal of Business Logistics, 30(1), 63-84.
Chowdhury, M.M.H. & Quaddus, M.A. (2016). Supply chain readiness, response and recovery for resilience. Supply Chain Management: An International Journal, 21(6), 709-731.
Christopher, M. & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1-13.
Christopher, M. (2016). Logistics & supply chain management. Pearson UK.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, Lawrence Erlbaum Associates, Hillsdale, NJ.
Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
Deloitte. Supply Chain Resilience (2012). A Risk Intelligent approach to managing global supply chains. White paper, 2012, http://www.deloitte.com/assets/DcomUnitedStates/Local%20Assets/Documents/us_consulting_supplychainresilience_052312.pdf (Accessed 25 Nov 2020).
DiMaggio, J., & Powell, W. (1983). The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 147-60.
Esper, T.L., Defee, C.C. & Mentzer, J.T. (2010). A framework of supply chain orientation. International Journal of Logistics Management, 21(2), 161-179.
Fakoor, A. M., Olfat, L., Feizi, K., & Amiri, M. (2013). A method for measuring supply chain resilience in the automobile industry. Journal of Basic and Applied Scientific Research, 3(2), 537-544
Fayezi, S., O'Loughlin, A., & Zutshi, A. (2012). Agency theory and supply chain management: a structured literature review. Supply Chain Management: An International Journal, 17(5), 556-570
Feyzioglu, O., Buyukozkan, G., & Ersoy, M. S. (2007, December). Supply chain risk analysis with fuzzy cognitive maps. In Industrial Engineering and Engineering Management, 2007 IEEE International Conference on (pp. 1447-1451). IEEE.
Fiksel, J. (2003). Designing resilient, sustainable systems. Environmental Science & Technology, 37(23), 5330-5339.
Fornell, C. & Larcker, D.F. (1981). Evaluating structural equations models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gölgeci, I. & Ponomarov, S.Y. (2015). How does firm innovativeness enable supply chain resilience? The moderating role of supply uncertainty and interdependence. Technology Analysis & Strategic Management, 27(3), 267-282.
Gotz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of Structural Equation Models Using the Partial Least Partial Least Squares (PLS) Approach. In V.E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications in marketing and related fields (pp. 691-711). Berlin: Springer.
Hair, J., Hult, T., Ringle, C. & Sarstedt, M., (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). [online] Available at: http://hdl.handle.net/11420/4083
Hair, J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage, Thousand Oaks, CA.
Hair, J.F., Ringle, C.M. & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.
Henseler, J., Ringle, C. & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing (AIM), 20(1), 277-320.
Jackson, N. (1997). Academic regulation in UK higher education: part I ‐ the concept of collaborative regulation. Quality Assurance in Education, 5(3), 120 – 135
Jain, P., Vyas, V. & Chalasani, D. P. S. (2016). Corporate social responsibility and financial performance in SMEs: A structural equation modelling approach. Global Business Review, [e-journal] 17(3), 630–53. https://doi. org/10.1177/0972150916630827
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.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educ psychol meas.
Latan, H., & Ghozali, I. (2012a). Partial Least Squares: Concept, Technique and Application SmartPLS 2.0 M3, Badan Penerbit Universitas Diponegoro, Semarang.
Latan, H., & Ghozali, I. (2012b). Partial Least Squares: Concept, Metode and Application WarpPLS for Empirical Research, Badan Penerbit Universitas Diponegoro, Semarang.
Latan, H., & Ramli, N. A. (2013). The Results of Partial Least Squares-Structural Equation Modelling Analyses (PLS-SEM).
Li, G., Fan, H., Lee, P. K., & Cheng, T. C. E. (2015). Joint supply chain risk management: an agency and collaboration perspective. International Journal of Production Economics, 164, 83-94.
Mello, J. E., & Stank, T. P. (2005). Linking firm culture and orientation to supply chain success. International Journal of Physical Distribution & Logistics Management, 35(8), 542-554.
Mehralian, G., Moosivand, A., Emadi, S., & Asgharian, R. (2017). Developing a coordination framework for pharmaceutical supply chain: using analytical hierarchy process. International Journal of Logistics System Management, 26(3), 277–93.
Min, S., & Mentzer, J. T. (2004). Developing and measuring supply chain management concepts. Journal of business logistics, 25(1), 63-99.
Min, S., Mentzer, J. T., & Ladd, R. T. (2007). A market orientation in supply chain management. Journal of the Academy of Marketing Science, 35(4), 507.
OECD (2010). Regulatory Policy and the Road to Sustainable Growth. Organisation for Economic Co-operation and Development 2010 Report.
Perrow, C. (1986). Complex organizations: A critical essay, New York: Random House
Pettit, T. J. (2008). Supply chain resilience: development of a conceptual framework, an assessment tool and an implementation process (Doctoral dissertation, The Ohio State University).
Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013). Ensuring supply chain resilience: development and implementation of an assessment tool. Journal of Business Logistics, 34(1), 46-76.
Pettit, T.J., Fiksel, J. & Croxton, K.L. (2011). Ensuring supply chain resilience: development of a conceptual framework. Journal of Business Logistics, 31(1), 1-21.
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143.
Preacher, K.J. & Hayes, A.F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods Instruments, and Computers, 36(4), 717-731.
Preacher, K.J. & Hayes, A.F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.
Rice, J.B., & Caniato, F. (2003). Building a Secure and Resilient Supply Network. Supply Chain Management Review, 7(5), 22-30
Scholten, K., Sharkey Scott, P. & Fynes, B. (2014). Mitigation processes – antecedents for building supply chain resilience. Supply Chain Management: An International Journal, 19(2), 211-228.
Scott, W. R. (2008). Approaching adulthood: the maturing of institutional theory. Theory and Society, 37(5), 427.
Shapiro, S.P. (2005). Agency theory. Annual Reviews of Sociology, 31, 263-284.
Sheffi, Y. (2005). The resilient enterprise. MIT Sloan Management Review, 47(1).
Stone, M., (1974). Cross-Validatory Choice and Assessment of Statistical Predictions. Journal of the Royal Statistical Society: Series B (Methodological), [e-journal] 36(2), 111–133. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x
Svensson, G. (2002). A conceptual framework of vulnerability in firms’ in-bound and out-bound logistics flows. International Journal of Physical Distribution and Logistics Management, 32(2), 110-3
Trucco, P., & Ward, D. (2011). A clustering approach to the operational resilience analysis of key resource supply chains (KRSC): The case of fast Moving Consumer Goods. In 2011 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 990-994). IEEE.
Tukamuhabwa, B.R., Stevenson, M., Busby, J. & Zorzini, M. (2015). Supply chain resilience: definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18), 5592-5623
Ubidia Batallas, J. A. (2014). How to define and measure supply chain resilience (Master's thesis, Burdeos/Kedge Business School/2014).
Umang, S., & Vipul, J. (2011). Minimizing the vulnerabilities of supply chain: A new framework for enhancing the resilience. Proceedings of the 2011 Institute of Electrical and Electronics
Wagner, S. & Bode, C., (2006). An empirical investigation into supply chain vulnerability. Journal of Purchasing & Supply Management, 12(6), 301-312
Waters, D. (2011). Supply chain risk management: vulnerability and resilience in logistics. Kogan Page Publishers
Wetzels, M., Odekerken-Schroder, G. & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quarterly, 33(1), 177-195.
Yunus, E. N. (2012). Drivers of supply chain integration and the role of organizational culture: empirical evidence from Indonesia. Southern Illinois University, Carbondale.
Yunus, E. N., & Tadisina, S. K. (2016). Drivers of supply chain integration and the role of organizational culture: Empirical evidence from Indonesia. Business Process Management Journal, 22(1), 89-115
Zailani, S., Premkumar, R., & Fernando, Y. (2008). Factors influencing the effectiveness of operational information sharing within supply chain channels in Malaysia. Operations and Supply Chain Management, 1(2), 85-100.
Zhao, H. (2016). Why collaborative regulation is critical. International Telecommunications Union, 3, 4-21
Zsidisin, G. A., Melnyk, S. A., & Ragatz, G. L. (2005). An institutional theory perspective of business continuity planning for purchasing and supply management. International Journal of Production Research, 43(16), 3401-3420.