Norrman & Jansson (2004)Norrman, A., & Jansson, U. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution & Logistics Management, 34(5), 434-456. http://dx.doi.org/10.1108/09600030410545463. http://dx.doi.org/10.1108/09600030410545...
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Study the relationship between supply chain risk management and the principles of supply chain logistics management. |
Wu et al. (2006)Wu, T., Blackhurst, J., & Chidambaram, V. (2006). A model for inbound supply risk analysis. Computers in Industry, 57(4), 350-365. http://dx.doi.org/10.1016/j.compind.2005.11.001. http://dx.doi.org/10.1016/j.compind.2005...
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Explore the method in more companies, using historical data. |
Faisal et al. (2006)Faisal, M. N., Banwet, D. K., & Shankar, R. (2006). Supply chain risk mitigation: modeling the enablers. Business Process Management Journal, 12(4), 535-552. http://dx.doi.org/10.1108/14637150610678113. http://dx.doi.org/10.1108/14637150610678...
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Evaluate the proposed model from a statistical standpoint. |
Goh et al. (2007)Goh, M., Lim, J. Y. S., & Meng, F. (2007). A stochastic model for risk management in global supply chain networks. European Journal of Operational Research, 182(1), 164-173. http://dx.doi.org/10.1016/j.ejor.2006.08.028. http://dx.doi.org/10.1016/j.ejor.2006.08...
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Apply the model in a large-scale supply chain. |
Ritchie & Brindley (2007)Ritchie, B., & Brindley, C. (2007). An emergent frameworkfor supply chain risk management and performance measure. The Journal of the Operational Research Society, 58(11), 1398-1411. http://dx.doi.org/10.1057/palgrave.jors.2602412. http://dx.doi.org/10.1057/palgrave.jors....
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Concentrate less on the components of the proposed framework and more on the dynamics of interaction between them. |
Autry & Bobbitt (2008)Autry, C. W., & Bobbitt, L. M. (2008). Supply chain security orientation: conceptual development and a proposed framework. The International Journal of Logistics Management, 19(1), 42-64. http://dx.doi.org/10.1108/09574090810872596. http://dx.doi.org/10.1108/09574090810872...
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Continue studies about SCSO (supply chain security orientation). |
Manuj & Mentzer (2008a)Manuj, I., & Mentzer, J. T. (2008a). Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, 38(3), 192-223. http://dx.doi.org/10.1108/09600030810866986. http://dx.doi.org/10.1108/09600030810866...
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Refine and test the proposed model with quantitative and qualitative data about different industries. |
Manuj & Mentzer (2008b)Manuj, I., & Mentzer, J. T. (2008b). Global supply chain risk management. Journal of Business Logistics, 29(1), 133-155. http://dx.doi.org/10.1002/j.2158-1592.2008.tb00072.x. http://dx.doi.org/10.1002/j.2158-1592.20...
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Identify how the model proposed in the article is related to the performance of supply chains. |
Williams et al. (2008)Williams, Z., Lueg, J. E., & Lemay, S. A. (2008). Supply chain security : an overview and research agenda. The International Journal of Logistic Management, 19(2), 254-281. http://dx.doi.org/10.1108/09574090810895988. http://dx.doi.org/10.1108/09574090810895...
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Develop the research suggested in the article about risk management strategies. |
Ojha & Gokhale (2009)Ojha, D., & Gokhale, R. A. (2009). Logistical business continuity planning-scale development and validation. The International Journal of Logistics Management, 20(3), 342-359. http://dx.doi.org/10.1108/09574090911002814. http://dx.doi.org/10.1108/09574090911002...
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Assess the financial and operational impact of the model proposed in the article. |
Manuj et al. (2009)Manuj, I., Mentzer, J. T., & Bowers, M. R. (2009). Improving the rigor of discrete‐event simulation in logistics and supply chain research. International Journal of Physical Distribution & Logistics Management, 39(3), 172-201. http://dx.doi.org/10.1108/09600030910951692. http://dx.doi.org/10.1108/09600030910951...
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Use other simulation tools and other approaches to the proposed study. |
Trkman & McCormack (2009)Trkman, P., & McCormack, K. (2009). Supply chain risk in turbulent environments: a conceptual model for managing supply chain network risk. International Journal of Production Economics, 119(2), 247-258. http://dx.doi.org/10.1016/j.ijpe.2009.03.002. http://dx.doi.org/10.1016/j.ijpe.2009.03...
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Prepare an article with multiple case studies involving not only suppliers of a local firm, but also the suppliers of those suppliers. |
Sodhi & Tang (2009)Sodhi, M. S., & Tang, C. S. (2009). Modeling supply-chain planning under demand uncertainty using stochastic programming: A survey motivated by asset-liability management. International Journal of Production Economics, 121(2), 728-738. http://dx.doi.org/10.1016/j.ijpe.2009.02.009. http://dx.doi.org/10.1016/j.ijpe.2009.02...
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Use Monte Carlo analysis as another approach for the model in the article. |
Pujawan & Geraldin (2009)Pujawan, I. N., & Geraldin, L. H. (2009). House of risk: a model for proactive supply chain risk management. Business Process Management Journal, 15(6), 953-967. http://dx.doi.org/10.1108/14637150911003801. http://dx.doi.org/10.1108/14637150911003...
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Take into consideration the interdependency of the variables used in the study. |
Moeinzadeh & Hajfathaliha (2009)Moeinzadeh, P. B., & Hajfathaliha, A. (2009). A combined fuzzy decision making approach to supply chain risk assessment. World Academy of Science, Engineering and Technology, 60(12), 519-535.
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Reproduce the study using other methods and techniques; explore more cases and conduct more empirical studies using the proposed model. |
Jüttner & Maklan (2011)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. http://dx.doi.org/10.1108/13598541111139062. http://dx.doi.org/10.1108/13598541111139...
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Utilize more case studies; approach the theme from other perspectives. |
Olson & Wu (2011)Olson, D. L., & Wu, D. (2011). Risk management models for supply chain: a scenario analysis of outsourcing to China. Supply Chain Management: An International Journal, 16(6), 401-408. http://dx.doi.org/10.1108/13598541111171110. http://dx.doi.org/10.1108/13598541111171...
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Utilize real data from a specific organization to test the model in practice. |
Tummala & Schoenherr (2011)Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the Supply Chain Risk Management Process (SCRMP). Supply Chain Management: An International Journal, 16(6), 474-483. http://dx.doi.org/10.1108/13598541111171165. http://dx.doi.org/10.1108/13598541111171...
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Investigate how the information on the internal system of firms can be used to feed the model proposed in the article. |
Giannakis & Louis (2011)Giannakis, M., & Louis, M. (2011). A multi-agent based framework for supply chain risk management. Journal of Purchasing and Supply Management, 17(1), 23-31. http://dx.doi.org/10.1016/j.pursup.2010.05.001. http://dx.doi.org/10.1016/j.pursup.2010....
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Perform simulations to assess the performance of the proposed framework. |
Sawik (2011a)Sawik, T. (2011a). Selection of a dynamic supply portfolio in make-to-order environment withrisks. Computers & Operations Research, 38(4), 782-796. http://dx.doi.org/10.1016/j.cor.2010.09.011. http://dx.doi.org/10.1016/j.cor.2010.09....
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Utilize different approaches for the proposed model. |
Thun & Hoenig (2011)Thun, J. H., & Hoenig, D. (2011). An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, 131(1), 242-249. http://dx.doi.org/10.1016/j.ijpe.2009.10.010. http://dx.doi.org/10.1016/j.ijpe.2009.10...
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Utilize the same method in companies in other sectors, including an international study. |
Blome & Schoenherr (2011)Blome, C., & Schoenherr, T. (2011). Supply chain risk management in financial crises: a multiple case-study approach. International Journal of Production Economics, 134(1), 43-57. http://dx.doi.org/10.1016/j.ijpe.2011.01.002. http://dx.doi.org/10.1016/j.ijpe.2011.01...
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Replicate the study in other industries in other countries; conduct a large-scale international study. |
Sawik (2011b)Sawik, T. (2011b). Supplier selection in make-to-order environment with risks. Mathematical and Computer Modelling, 53(9-10), 1670-1679. http://dx.doi.org/10.1016/j.mcm.2010.12.039. http://dx.doi.org/10.1016/j.mcm.2010.12....
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Increase the size of the sample and the number of variables used to apply the model. |
Tse et al. (2011)Tse, Y. K., Tan, K. H., Chung, S. H., & Lim, M. K. (2011). Quality risk in global supply network. Journal of Manufacturing Technology Management, 22(8), 1002-1013. http://dx.doi.org/10.1108/17410381111177458. http://dx.doi.org/10.1108/17410381111177...
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Test the model proposed in the article empirically. |
Sodhi et al. (2012)Sodhi, M. S., Son, B., & Tang, C. (2012). Researchers’ perspectives on supply chain risk management. Production and Operations Management, 21(1), 1-13. http://dx.doi.org/10.1111/j.1937-5956.2011.01251.x. http://dx.doi.org/10.1111/j.1937-5956.20...
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Carry out the same study in other companies in different contexts. |
Lockamy & Mccormack (2012)Lockamy, A. 3rd, & Mccormack, K. (2012). Modeling supplier risks using Bayesian networks. Industrial Management & Data Systems, 112(2), 313-333. http://dx.doi.org/10.1108/02635571211204317. http://dx.doi.org/10.1108/02635571211204...
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Examine supply risk profiles and supply networks by the Bayesian network method. |
Kern et al. (2012)Kern, D., Moser, R., Hartmann, E., & Moder, M. (2012). Supply risk management: model development and empirical analysis. International Journal of Physical Distribution & Logistics Management, 42(1), 60-82. http://dx.doi.org/10.1108/09600031211202472. http://dx.doi.org/10.1108/09600031211202...
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Replicate the study on a global scale, gathering information on the participating companies from various sources. |
Khan et al. (2012)Khan, O., Christopher, M., & Creazza, A. (2012). Aligning product design with the supply chain: a case study. Supply Chain Management: An International Journal, 17(3), 323-336. http://dx.doi.org/10.1108/13598541211227144. http://dx.doi.org/10.1108/13598541211227...
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Conduct similar case studies to compare the level of alignment of the supply chain, analyzing this information from the perspective of risk management. |
Wieland & Wallenburg (2012)Wieland, A., & Wallenburg, C. M. (2012). Dealing with supply chain risks: linking risk management practices and strategies to performance. International Journal of Physical Distribution & Logistics Management, 42(10), 887-905. http://dx.doi.org/10.1108/09600031211281411. http://dx.doi.org/10.1108/09600031211281...
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Test the proposal of the study empirically; analyze industries in other countries. |
Schmitt & Snyder (2012)Schmitt, A. J., & Snyder, L. V. (2012). Infinite-horizon models for inventory control under yield uncertainty and disruptions. Computers & Operations Research, 39(4), 850-862. http://dx.doi.org/10.1016/j.cor.2010.08.004. http://dx.doi.org/10.1016/j.cor.2010.08....
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Perform a case study comparing two suppliers: one using the method proposed by the article and the other using a different method. |
Schmitt & Singh (2012)Schmitt, A. J., & Singh, M. (2012). A quantitative analysis of disruption risk in a multi-echelon supply chain. International Journal of Production Economics, 139(1), 22-32. http://dx.doi.org/10.1016/j.ijpe.2012.01.004. http://dx.doi.org/10.1016/j.ijpe.2012.01...
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Apply the proposed method to other types of industries. |
Tang et al. (2012)Tang, O., Musa, S. N., & Li, J. (2012). Dynamic pricing in the newsvendor problem with yield risks. International Journal of Production Economics, 139(1), 127-134. http://dx.doi.org/10.1016/j.ijpe.2011.01.018. http://dx.doi.org/10.1016/j.ijpe.2011.01...
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Investigate the pricing policy of a company and its influence in a system containing two substitute products. |
Kumar & Harrison (2012)Kumar, S., & Harrison, G. (2012). Expect the unexpected: supply chain disruption and opportunity for US companies: a business case. Transportation Journal, 51(1), 118-136.
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Apply the proposed model more deeply and help firms that want to invest in strategies for a rupture contingency plan. |
Vilko & Hallikas (2012)Vilko, J. P. P., & Hallikas, J. M. (2012). Risk assessment in multimodal supply chains. International Journal of Production Economics, 140(2), 586-595. http://dx.doi.org/10.1016/j.ijpe.2011.09.010. http://dx.doi.org/10.1016/j.ijpe.2011.09...
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Collect more data on companies and include more geographic locations; analyze qualitative and financial factors of risks and their effects in the context of supply chains. |
Wever et al. (2012)Wever, M., Wognum, N., Trienekens, J., & Omta, O. (2012). Managing transaction risks in interdependent supply chains: an extended transaction cost economics perspective. Journal on Chain and Network Science, 12(3), 243-260. http://dx.doi.org/10.3920/JCNS2012.x214. http://dx.doi.org/10.3920/JCNS2012.x214...
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Take into consideration the structure of the supply chain. |
Liew & Lee (2012)Liew, K. C., & Lee, C. K. M. (2012). Modelling and risk management in the offshore and marine industry supply chain. International Journal of Engineering Business Management, 4(1), 1-7.
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Include other raw materials in the analysis proposed by the article; study the efficiency of risk management in mitigating the risk of price fluctuations of raw materials. |
Aloini et al. (2012)Aloini, D., Dulmin, R., Mininno, V., & Ponticelli, S. (2012). Supply chain management: a review of implementation risks in the construction industry. Business Process Management Journal, 18(5), 735-761. http://dx.doi.org/10.1108/14637151211270135. http://dx.doi.org/10.1108/14637151211270...
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Conduct case studies to support the discoveries from analysis of the literature in question. |
Son & Orchard (2013)Son, J. Y., & Orchard, R. K. (2013). Effectiveness of policies for mitigating supply disruptions. International Journal of Physical Distribution & Logistics Management, 43(8), 684-706. http://dx.doi.org/10.1108/IJPDLM-04-2012-0109. http://dx.doi.org/10.1108/IJPDLM-04-2012...
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Conduct comparative studies where only some firms are exposed to the proposed mode and others not. |
Ghadge et al. (2013)Ghadge, A., Dani, S., Chester, M., & Kalawsky, R. (2013). A systems approach for modelling supply chain risks. Supply Chain Management: An International Journal, 18(5), 523-538. http://dx.doi.org/10.1108/SCM-11-2012-0366. http://dx.doi.org/10.1108/SCM-11-2012-03...
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Apply the model in multiple companies instead of just one. |
Ekwall & Lantz (2013)Ekwall, D., & Lantz, B. (2013). Seasonality of cargo theft at transport chain locations. International Journal of Physical Distribution & Logistics Management, 43(9), 728-746. http://dx.doi.org/10.1108/IJPDLM-06-2012-0175. http://dx.doi.org/10.1108/IJPDLM-06-2012...
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Utilize other data sources and develop a multidisciplinary approach. |
Golgeci & Ponomarov (2013)Golgeci, I., & Ponomarov, S. Y. (2013). Does firm innovativeness enable effective responses to supply chain disruptions? an empirical study. Supply Chain Management: An International Journal, 18(6), 604-617. http://dx.doi.org/10.1108/SCM-10-2012-0331. http://dx.doi.org/10.1108/SCM-10-2012-03...
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Perform new studies on the relationship of the concept of innovation with risk management. |
Ruiz-Torres et al. (2013)Ruiz-Torres, A. J., Mahmoodi, F., & Zeng, A. Z. (2013). Supplier selection model with contingency planning for supplier failures. Computers & Industrial Engineering, 66(2), 374-382. http://dx.doi.org/10.1016/j.cie.2013.06.021. http://dx.doi.org/10.1016/j.cie.2013.06....
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Analyze more complex supply chains and consider other variables in the analysis of suppliers. |
Wu et al. (2013)Wu, T., Huang, S., Blackhurst, J., Zhang, X., & Wang, S. (2013). Supply chain risk management: an agent-based simulation to study the impact of retail stockouts. IEEE Transactions on Engineering Management, 60(4), 676-686. http://dx.doi.org/10.1109/TEM.2012.2190986. http://dx.doi.org/10.1109/TEM.2012.21909...
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Expand the scope of the study and include more variables in the analysis. |
Chen & Wu (2013)Chen, P. S., & Wu, M. T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers & Industrial Engineering, 66(4), 634-642. http://dx.doi.org/10.1016/j.cie.2013.09.018. http://dx.doi.org/10.1016/j.cie.2013.09....
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Give more attention to the supplier selection criteria used by firms; utilize other methods to learn whether they generate similar results to those of the article. |
Urciuoli et al. (2014)Urciuoli, L., Mohanty, S., Hintsa, F., & Boekesteijn, E. G. (2014). The resilience of energy supply chains: a multiple case study approach on oil and gas supply chains to Europe. Supply Chain Management: An International Journal, 19(1), 46-63. http://dx.doi.org/10.1108/SCM-09-2012-0307. http://dx.doi.org/10.1108/SCM-09-2012-03...
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Develop new risk management tools; utilize simulations and mathematical approaches besides case studies. |
Vilko et al. (2014)Vilko, J., Ritala, P., & Edelmann, J. (2014). On uncertainty in supply chain risk management. International Journal of Logistics Management, 25(1), 3-19. http://dx.doi.org/10.1108/IJLM-10-2012-0126. http://dx.doi.org/10.1108/IJLM-10-2012-0...
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Empirically test the arguments presented in the article and perform qualitative studies to explore the various types of processes related to reaching decisions faced with different levels of uncertainty. |
Liu et al. (2014)Liu, F., Wang, J. J., Chen, H., & Yang, D. L. (2014). Machine scheduling with outsourcing. The International Journal of Logistics Management, 25(1), 133-159. http://dx.doi.org/10.1108/IJLM-12-2012-0142. http://dx.doi.org/10.1108/IJLM-12-2012-0...
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Consider other types of vehicles in the analysis; study the same topic using different methods; perform a study using real data. |
Cantor et al. (2014b)Cantor, D. E., Blackhurst, J. V., & Cortes, J. D. (2014b). The clock is ticking: the role of uncertainty, regulatory focus, and level of risk on supply chain disruption decision making behavior. Transportation Research Part E, Logistics and Transportation Review, 72, 159-172. http://dx.doi.org/10.1016/j.tre.2014.10.007. http://dx.doi.org/10.1016/j.tre.2014.10....
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Evaluate the proposed model from a statistical perspective and expand the research regarding the number of companies studied. |
Peng et al. (2014)Peng, M., Peng, Y., & Chen, H. (2014). Post-seismic supply chain risk management: a system dynamics disruption analysis approach for inventory and logistics planning. Computers & Operations Research, 42, 14-24. http://dx.doi.org/10.1016/j.cor.2013.03.003. http://dx.doi.org/10.1016/j.cor.2013.03....
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Collect the opinions of specialists on logistics planning through questionnaires. |
Benedek et al. (2014)Benedek, G., Lublóy, Á., & Vastag, G. (2014). The importance of social embeddedness: churn models at mobile providers. Decision Sciences, 45(1), 175-201. http://dx.doi.org/10.1111/deci.12057. http://dx.doi.org/10.1111/deci.12057...
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Continue the study covering other points of view in different companies. |
Hofmann et al. (2014)Hofmann, H., Busse, C., Bode, C., & Henke, M. (2014). Sustainability-related supply chain risks: conceptualization and management. Business Strategy and the Environment, 23(3), 160-172. http://dx.doi.org/10.1002/bse.1778. http://dx.doi.org/10.1002/bse.1778...
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Focus studies on companies that have had success in managing their risks relate to the concept of sustainability. |
Manuj et al. (2014)Manuj, I., Esper, T. L., & Stank, T. P. (2014). Supply chain risk management approaches under different conditions of risk. Journal of Business Logistics, 35(3), 241-258. http://dx.doi.org/10.1111/jbl.12051. http://dx.doi.org/10.1111/jbl.12051...
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Develop complementary methods outside the simulated environment; increase the number of variables considered. |
Cantor et al. (2014a)Cantor, D. E., Blackhurst, J., Pan, M., & Crum, M. (2014a). Examining the role of stakeholder pressure and knowledge management on supply chain risk and demand responsiveness. International Journal of Logistics Management, 25(1), 202-223. http://dx.doi.org/10.1108/IJLM-10-2012-0111. http://dx.doi.org/10.1108/IJLM-10-2012-0...
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Consider other variables, to deepen the study presented in the article. |
Chan et al. (2015)Chan, F. T. S., Samvedi, A., & Chung, S. H. (2015). Fuzzy time series forecasting for supply chain disruptions. Industrial Management & Data Systems, 115(3), 419-435. http://dx.doi.org/10.1108/IMDS-07-2014-0199. http://dx.doi.org/10.1108/IMDS-07-2014-0...
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Test the proposed method in other supply chains. |
Marija et al. (2015)Marija, M., Ivan, B., & Dušan, R. (2015). Supply chain risk management using software tool historical perspective of risk management. Acta Polytechnica Hungarica, 12(4), 167-182.
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Utilize the same method in other firms to compare with the results presented in the article. |
Davarzani et al. (2015)Davarzani, H., Farahani, R. Z., & Rahmandad, H. (2015). Understanding econo-political risks: impact of sanctions on an automotive supply chain. International Journal of Operations & Production Management, 35(11), 1567-1591. http://dx.doi.org/10.1108/IJOPM-01-2013-0021. http://dx.doi.org/10.1108/IJOPM-01-2013-...
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Conduct empirical studies to test the proposal of the article. |
Nooraie & Parast (2015)Nooraie, S. V., & Parast, M. (2015). A multi-objective approach to supply chain risk management: integrating visibility with supply and demand risk. International Journal of Production Economics, 161, 192-200. http://dx.doi.org/10.1016/j.ijpe.2014.12.024. http://dx.doi.org/10.1016/j.ijpe.2014.12...
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Increase the number of contextual and organizational variables considered. |
Mizgier et al. (2015)Mizgier, K. J., Wagner, S. M., & Jüttner, M. P. (2015). Disentangling diversification in supply chain networks. International Journal of Production Economics, 162, 115-124. http://dx.doi.org/10.1016/j.ijpe.2015.01.007. http://dx.doi.org/10.1016/j.ijpe.2015.01...
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Apply the model presented in a real case; consider a larger number of variables. |
Li et al. (2015)Li, G., Fan, H., Lee, P. K. C., & Cheng, T. C. E. (2015). Joint supply chain risk management: an agency and collaboration perspective. International Journal of Production Economics, 164, 83-94. http://dx.doi.org/10.1016/j.ijpe.2015.02.021. http://dx.doi.org/10.1016/j.ijpe.2015.02...
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Investigate other practices to identify risks; use other theories in the same context as that of the article. |
Chae (2015)Chae, B. K. (2015). Insights from hashtag #supplychain and Twitter analytics: considering Twitter and Twitter data for supply chain practice and research. International Journal of Production Economics, 165, 247-259. http://dx.doi.org/10.1016/j.ijpe.2014.12.037. http://dx.doi.org/10.1016/j.ijpe.2014.12...
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Increase the number of keywords used in the study; increase the number of studies relating supply chains with social networks. |
Rajesh & Ravi (2015)Rajesh, R., & Ravi, V. (2015). Modeling enablers of supply chain risk mitigation in electronic supply chains: a Grey-DEMATEL approach. Computers & Industrial Engineering, 87, 126-139. http://dx.doi.org/10.1016/j.cie.2015.04.028. http://dx.doi.org/10.1016/j.cie.2015.04....
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Increase the number of case studies to validate the study; use computer programs to help build models. |
Yu et al. (2015)Yu, Y., Xiong, W., & Cao, Y. (2015). A conceptual model of Supply Chain Risk Mitigation: the role of supply chain integration and organizational risk propensity. Journal of Coastal Research, 73, 95-98. http://dx.doi.org/10.2112/SI73-017.1. http://dx.doi.org/10.2112/SI73-017.1...
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Apply empirical tests of the theory presented. |
Kilubi & Haasis (2015)Kilubi, I., & Haasis, H. D. (2015). Supply chain risk management enablers: a framework development through systematic review of the literature from 2000 to 2015. International Journal of Business Science and Applied Management, 10(1), 35-54.
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Carry out more studies relating risk management with the performance of supply chains. |