Exploring the relationship between analytical orientation and supply chain resilience
the mediating role of anticipation and adaptation
DOI:
https://doi.org/10.5585/2024.22440Keywords:
supply chain resilience, analytical orientation, prevention, adaption, recoveryAbstract
The present study addresses the impact of analytical orientation on supply chains, a topic that has been relatively underexplored. The main objective of this work is to expand our understanding of how analytical orientation affects resilience in supply chains. To achieve this objective, a survey was conducted with 143 key professionals from manufacturing industries, and the data were analyzed using structural equation modeling. The results highlighted the significance of the tested mechanisms in explaining the relationship between analytical orientation and resilience. Thus, the main theoretical contribution of this article is the identification of prevention and adaptation as mediators in the relationship between analytical orientation and supply chain resilience. Recognizing the importance of prevention and adaptation as mediators, managers can implement practical strategies to strengthen these aspects and enhance the resilience of their supply chains in the face of challenges. This approach reduces vulnerabilities, improves responsiveness, and maintains operational efficiency, thereby generating a competitive advantage in the market.
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References
Acito, F., & Khatri, V. (2014). Business analytics: Why now and what next? Business Horizons, 57(5), 565–570. https://doi.org/10.1016/j.bushor.2014.06.001
Alvarenga, M. Z., Oliveira, M. P. V. de, Zanquetto-Filho, H., Desouza, K. C., & Ceryno, P. S. (2022). Is your supply chain ready for the next disruption? Building Resilient Chains. Journal of Business Management - RAE, 62(1), 1–17. https://doi.org/10.1590/S0034-759020220106 IS
Birkel, H. S., & Hartmann, E. (2020). Internet of Things – the future of managing supply chain risks. Supply Chain Management: An International Journal, 25(5), 535–548. https://doi.org/10.1108/SCM-09-2019-0356
Blumenthal, D., & Fowler, E. J. (2020). It’s Not Too Early to Prepare for the Next Pandemic. Retrieved April 28, 2020, from https://hbr.org/2020/04/its-not-too-early-to-prepare-for-the-next-pandemic
Bousquin, J. (2022). Ukraine war compounds supply chain issues in construction. Retrieved from https://www.supplychaindive.com/news/ukraine-war-supply-chain-construction/619726/
Brandon-Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness. Journal of Supply Chain Management, 50(3), 55–73. https://doi.org/10.1111/jscm.12050
Cao, G., Duan, Y., & Li, G. (2015). Linking Business Analytics to Decision Making Effectiveness: A Path Model Analysis. IEEE Transactions on Engineering Management, 62(3), 384–395. https://doi.org/10.1109/TEM.2015.2441875
Carvalho, H., Barroso, A. P., Machado, V. H. ., Azevedo, S., & Cruz-Machado, V. (2012). Supply chain redesign for resilience using simulation. Computers & Industrial Engineering, 62(1), 329–341. https://doi.org/10.1016/j.cie.2011.10.003
Castillo, C. (2023). Is there a theory of supply chain resilience? A bibliometric analysis of the literature. International Journal of Operations and Production Management, 43(1). https://doi.org/10.1108/IJOPM-02-2022-0136
Ceryno, P. S., Scavarda, L. F., Klingebiel, K., & Yüzgülec, G. (2013). Supply chain risk management: A content analysis approach. International Journal of Industrial Engineering and Management, 4(3), 141–150.
Chae, K., & Olson, D. (2013). Business Analytics for Supply Chains: A Dynamic-Capabilities Framework. International Journal of Information Technology & Decision Making, 12(01), 9–26. https://doi.org/10.1142/S0219622013500016
Chae, K., Olson, D., & Sheu, C. (2014). The impact of supply chain analytics on operational performance: a resource-based view. International Journal of Production Research, 52(16), 4695–4710. https://doi.org/10.1080/00207543.2013.861616
Chopra, S., & Sodhi, M. S. (2004). Managing risk to avoid supply-chain breakdown. MIT Sloan Management Review, 46(1), 52–61. https://doi.org/10.1108/IJOPM-10-2012-0449
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1–13. https://doi.org/10.1108/09574090410700275
Colicchia, C., Dallari, F., & Melacini, M. (2010). Increasing supply chain resilience in a global sourcing context. Production Planning & Control, 21(7), 680–694. https://doi.org/10.1080/09537280903551969
Côrte-Real, N., Oliveira, T., & Ruivo, P. (2016). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379–390. https://doi.org/10.1016/j.jbusres.2016.08.011
Craighead, C. W., Ketchen, D. J., & Darby, J. L. (2020). Pandemics and Supply Chain Management Research: Toward a Theoretical Toolbox*. Decision Sciences, 51(4), 838–866. https://doi.org/10.1111/deci.12468
Craven, M., Mysore, M., Singhal, S., & Wilson, M. (2020). COVID-19: Implications for business. EUA.
Davenport, T. H. (2006). Competing on Analytics. Harvard Business Review, 1–10. Retrieved from http://libproxy.trinity.edu:80/login?url=http://search.ebscohost.com/login.aspx?
direct=true&db=a9h&AN=31316546&site=ehost-live
Davenport, T. H. (2013). Analytics 3.0. Harvard Business Review, 91(12), 64–72. https://doi.org/10.1017/CBO9781107415324.004
Davenport, T. H., Harris, J. G., De Long, D. W., & Jacobson, A. L. (2001). Data to Knowledge to Results: Building an Analytics Capability. California Management Review, 43.
Dennehy, D., Oredo, J., Spanaki, K., Despoudi, S., & Fitzgibbon, M. (2021). Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics. International Journal of Operations and Production Management, 41(9), 1417–1441. https://doi.org/10.1108/IJOPM-12-2020-0871
Donadoni, M., Caniato, F., & Cagliano, R. (2018). Linking product complexity, disruption and performance: the moderating role of supply chain resilience. Supply Chain Forum, 19(4), 300–310. https://doi.org/10.1080/16258312.2018.1551039
Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2021). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 59(1), 110–128. https://doi.org/10.1080/00207543.2019.1582820
Graeml, A. R., Peinado, J., Alexandre Reis, G., Jurandir, P., Graeml, A. R., & Peinado, J. (2014). O efeito das capacidades logísticas na construção de resiliência da cadeia de suprimentos. Revista de Administração (São Paulo), 49(4), 642–655. https://doi.org/10.5700/rausp1174
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. . (2009). Análise multivariada de dados (6th ed.). Porto Alegre: Bookman.
Hallikas, J., Karvonen, I., Pulkkinen, U., Virolainen, V. M., & Tuominen, M. (2004). Risk management processes in supplier networks. International Journal of Production Economics, 90(1), 47–58. https://doi.org/10.1016/j.ijpe.2004.02.007
Hamel, G., & Välikangas, L. (2003). The Quest for Resilience. Harvard Business Review.
Hayes, A. F., Montoya, A. K., & Rockwood, N. J. (2017). The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling. Australasian Marketing Journal. https://doi.org/10.1016/j.ausmj.2017.02.001
Institute, B. C. (2018). Supply chain resilience report 2018. Retrieved from https://www.thebci.org/uploads/assets/uploaded/c50072bf-df5c-4c98-a5e1876aafb15bd0.pdf
Ittmann, H. W. (2015). The impact of big data and business analytics on supply chain management. Journal of Transport and Supply Chain Management, 9(1), 1–9. https://doi.org/10.4102/jtscm.v9i1.165
Ivanov, D., Dolgui, A., Das, A., & Sokolov, B. (2019). Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. In Handbook of ripple effects in the supply chain (pp. 309–332). https://doi.org/10.1007/978-3-030-14302-2_15
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. https://doi.org/10.1108/13598541111139062
Jüttner, U., Peck, H., & Christopher, M. (2003). Supply Chain Risk Management : Outlining an Agenda for Future Research. International Journal of Logistics: Research and Applications, 6(4), 197–210.
Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116–133. https://doi.org/10.1016/j.ijpe.2015.10.023
Kumar, R., & Boudreau, J. (2019). CIOs: Time to Reinvent Your Supply Chains. Retrieved December 27, 2019, from https://www.informationweek.com/cios-time-to-reinvent-your-supply-chains/a/d-id/1335394
Kwak, D.-W., Seo, Y.-J., & Mason, R. (2018). Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains. International Journal of Operations & Production Management, 38(1), 2–21. https://doi.org/10.1108/IJOPM-06-2015-0390
Ladeira, M. B., Resende, P. T. V. de, Oliveira, M. P. V. de, Mccormack, K., Sousa, P. R. de, & Ferreira, R. L. (2016). Os efeitos da abordagem analítica e da gestão orientada para processos sobre o desempenho organizacional de micro e pequenas empresas brasileiras dos setores da indústria e de serviços. Gestão & Produção, 23(32), 486–502. https://doi.org/10.1590/S0104-530X2012000200012
Laursen, G. H. N., & Thorlund, J. (2010). Business Analytics for Managers: Taking Business Intelligence Beyond Reporting. In depth Report. Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:BUSINESS+ANALYTICS#7
Lavastre, O., Gunasekaran, A., & Spalanzani, A. (2012). Supply chain risk management in French companies. Decision Support
Systems, 52(4), 828–838. https://doi.org/10.1016/j.dss.2011.11.017
Martínez Sánchez, A., & Pérez Pérez, M. (2005). Supply chain flexibility and firm performance. International Journal of Operations & Production Management, 25(7), 681–700. https://doi.org/10.1108/01443570510605090
Merschmann, U., & Thonemann, U. W. (2011). Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms. International Journal of Production Economics, 130(1), 43–53. https://doi.org/10.1016/j.ijpe.2010.10.013
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, 434–456. https://doi.org/10.1108/09600030410545463
Oliveira, M. P. V. de P. V. de, & Handfield, R. (2019). Analytical foundations for development of real-time supply chain capabilities. International Journal of Production Research, 0(0), 1–19. https://doi.org/10.1080/00207543.2018.1493240
Papadopoulos, T., Gunasekaran, A., Dubey, R., Altay, N., Childe, S. J., & Fosso-Wamba, S. (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2016.03.059
Pettit, T. J., Croxton, K. L., & Fiksel, J. (2019). The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience. Journal of Business Logistics, 40(1), 56–65. https://doi.org/10.1111/jbl.12202
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143. https://doi.org/10.1108/09574090910954873
Raj, A., Dwivedi, G., Sharma, A., Lopes de Sousa Jabbour, A. B., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production
Economics, 224, 107546. https://doi.org/10.1016/j.ijpe.2019.107546
Ramasesh, R. V., & Browning, T. R. (2014). A conceptual framework for tackling knowable unknown unknowns in project management. Journal of Operations Management. https://doi.org/10.1016/j.jom.2014.03.003
Ringle, C. M., Wende, S., & Becker, J.-M. (2014). SmartPLS 3.0. Hamburg, Germany: SmartPLS.
Ruel, S., & El Baz, J. (2021). Disaster readiness’ influence on the impact of supply chain resilience and robustness on firms’ financial performance: a COVID-19 empirical investigation. International Journal of Production Research, 1–19. https://doi.org/10.1080/00207543.2021.1962559
Sodhi, M. S., Son, B.-G., & Tang, C. S. (2012). Researchers’ Perspectives on Supply Chain Risk Management. Production and Operations Management, 21(1), 1–13. https://doi.org/10.1111/j.1937-5956.2011.01251.x
Souza, G. C. (2014). Supply chain analytics. Business Horizons, 57(5), 595–605. https://doi.org/10.1016/j.bushor.2014.06.004
Swafford, P. M., Ghosh, S., & Murthy, N. (2006). The antecedents of supply chain agility of a firm: Scale development and model testing. Journal of Operations Management, 24(2), 170–188. https://doi.org/10.1016/j.jom.2005.05.002
Swafford, P. M., Ghosh, S., & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288–297. https://doi.org/10.1016/j.ijpe.2008.09.002
Tang, O., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25–34. https://doi.org/10.1016/j.ijpe.2010.06.013
Teo, T. S. H., Nishant, R., & Koh, P. B. L. (2016). Do shareholders favor business analytics announcements? Journal of Strategic Information Systems, 25(4), 259–276. https://doi.org/10.1016/j.jsis.2016.05.001
Thomé, A. M. T., Scavarda, L. F., Pires, S. R. I., Ceryno, P., & Klingebiel, K. (2014). A multi-tier study on supply chain flexibility in the automotive industry. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2014.07.024
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. https://doi.org/10.1016/j.ijpe.2009.10.010
Trkman, P., Mccormack, K., Paulo, M., Oliveira, V. De, & Bronzo, M. (2010). The impact of business analytics on supply chain
performance. Decision Support Systems, 49(3), 318–327. https://doi.org/10.1016/j.dss.2010.03.007
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. https://doi.org/10.1108/13598541111171165
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