Exploring the relationship of supply chain capabilities: A case study of Japanese car manufacturer in Thailand
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Abstract
Due to intense competition internal and external uncertainty factors or even changes in the environment and technology, companies are increasingly focusing on the development and management of supply chain capabilities in order to reduce the cost of operating the organization and the expenses incurred in each process of the supply chain operation. Numerous studies have addressed the benefits and interrelationships of mutually beneficial supply chain capabilities. However, few studies have been explored the causal relationship among the supply chain capabilities factors. Therefore, the objectives of this paper are (i) to study the factors that determine supply chain capabilities (ii) to analyze and examine the causal relationship between the supply chain capabilities factors. In this study, a Japanese car manufacturer in Thailand is used as a case study. The in-depth interviews were conducted with 6 experts from the case companies. Then, data obtained were analyzed the causal relationship between supply chain capabilities factors using Fuzzy DEMATEL approach. The findings from this study shows that inter-firm relationship skills/relationship management should be improved as the first priority because it has an impact on the other supply chain capabilities in organization. Moreover, industry can be used as a guideline to improve supply chain capabilities by considering the interrelationship among factors. Although the present work carries out in a Japanese car manufacturer in Thailand but the proposed framework can be applied to other similar industries.
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References
Afshan, N., Chatterjee, S. & Chhetri, P. (2018). Impact of information technology and relational aspect on supply chain collaboration leading to financial performance A study in Indian context. Benchmarking: An International Journal, 25(7), 2496-2511.
Aitken, J., Bozarth C. & Garn, W. (2016). To eliminate or absorb supply chain complexity: a conceptual model and case study. Supply Chain Management: An International Journal, 21(6), 759-774.
Alexander, K. (1992). Facilities Risk Management. Facilities, 10(4), 14-18.
Alsaad, A.K., Yousif, K.J. & Aljedaiah, M.N. (2018). Collaboration: the key to gain value from IT in supply chain. EuroMed Journal of Business, 13(2), 214-235.
Barrutia, J.M. & Echebarria, C. (2015). Resource-based view of sustainability engagement. Global Environmental Change, 70-82.
Baz, J.E. & Ruel, S. (2020). 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, 1-12.
Cao, M., Vonderembse, M.A., Zhang, Q. & Nathan, T.S. (2009). Supply chain collaboration: conceptualization and instrument development. International Journal of Production Research, 48(22), 6613-6635.
Cao, M., & Zhang, Q. (2010). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163-180.
Dekkers, R., Boer, R.D., Gelsomino, L.M., Goeij, C.D., Steeman, M., Zhou, Q., Sinclair, S. & Souter, V. (2020). Evaluating theoretical conceptualisations for supply chain and finance integration: A Scottish focus group. International Journal of Production Economics, 220.
Dey, P.K., Luque, R.A. & Lopez, C.M. (2012). Supply chain integration framework using literature review. The Management of Operations, 24(8), 800-817.
Doepgen, M., Clauss, T., Kraus, S. & Cheng, C. (2020). Knowledge management capabilities and organizational risk-taking for business model innovation in SMEs. Journal of Business Research, 130, 683-697.
Ganbold, O., Matsui, Y. & Rotaru, K. (2019). Effect of information technology-enabled supply chain integration on firm’s operational performance. Journal of Enterprise Information Management, 34(3), 948-989.
Gunasekaran, A., Subramanian, N. & Rahman, S. (2017). Improving supply chain performance through management capabilities. Production Planning & Control The Management of Operations, 28(6), 473-477.
Hao, H., Wu, X. & Li, H. (2012). Research on the Collaborative Plan of Implementing High Efficient Supply Chain. 2012 International Conference on Future Energy, Environment, and Materials, 1118-1123.
Hendijani, R. & Saei R.S. (2020). Supply chain integration and firm performance: the moderating role of demand uncertainty. Cogent Business & Management, 7, 1-21.
Jarratt, D. (2008). Testing a theoretically constructed relationship management capability. European Journal of Marketing, 42(9), 1106-1132.
Kazancoglu, Y. & Ozen, Y. (2017). Analyzing workforce 4.0 in the fourth industrial revolution and proposing a road map from operations management perspective with fuzzy DEMATEL. Journal of Enterprise Information Management, 31(6), 891-907.
Lee, O. -K. D., Choi, B. & Lee, H. (2019). How do knowledge management resources and capabilities pay off in short term and long term?. Information & Management, 57(2).
McKenna, S.D. (1999). Maps of complexity and organization learning. The Journal of Development Management, 18(9), 772-793.
Mishra, B., Rolland, E., Satpathy, A. & Moore, M. (2019). A framework for enterprise risk identification and management: the resource-based view. Managerial Auditing Journal, 34(2), 162-188.
Nudurupati, S., Garengo, P. & Bititci, U. (2020). Impact of the changing business environment on performance measurement and management practices. International Journal of Production Economics, 232, 1-15.
Omotunde, O. & Alegbeleye, G. (2021). Talent management practices and job performance of librarians in university libraries in Nigeria. The Journal of Academic Librarianship, 47(2), 1-13.
Prajogo, D. & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1). 514-522.
Rivard, S., Raymond, L. & Verreault, D. (2006). Resource-based view and competitive strategy: An integrated model of the contribution of information technology to firm performance. Journal of Strategic Information Systems, 15(1), 29-50.
Robinson, J. C. & Malhotra, K. M. (2004). Defining the concept of supply chain quality management and its relevance to academic and industrial practice. International Journal of Production Economics, 96(3) 315-337.
Schmidt, C.G. & Wagner, S.M. (2019). Blockchain and supply chain relations: A transaction cost theory perspectives. Journal of Purchasing and Supply Management, 25(4).
Silvestre, H.C. & Gomes, R.C. (2017). A resource-based view of utilities: The key-determinant factors for customer process and organizational costs in the Portuguese water industry. Water Resources and Economics, 19, 41-50.
Simatupang, T. & Sridharan, R. (2005). Benchmarking supply chain collaboration An empirical study. Benchmarking An International Journal, 11(5), 484-503.
Swanepoel, K.T. (2004). Decision support system: real-time control of manufacturing processes. Journal of Manufacturing Technology Management, 15(1), 68-75.
Vactor, J. (2011). A case study of collaborative communications within healthcare logistics. Leadership in health Services, 24(1), 51-63.
Vlachos, L.P. (2016). Reserve logistics capabilities and firm performance: the mediating role of business strategy. International Journal of Logistics Research and Applications, 19(5), 424-442.
Yasminm, M., Tatoglu, E., Kilic, H.S., Zaim, S. & Delen, D. (2020). Big data analytics capabilities and firm performance: An integrated MCDM approach. Journal of Business Research, 114, 1-15.
Yeh, C., Lee, G. & Pai, J. (2012). How information system capability affects e-business information technology strategy implementation An empirical study in Taiwan. Business Process Management Journal, 18(2), 197-218.
Yu, W., Chavez, R., Jacobs, M.A. & Feng, M. (2018). Data-driven supply chain capabilities and performance: A resource-based view. Transportation Research Part E, 114, 371-385.
Zolkiewski, J. & Turnbull, P. (2002). Do relationship portfolios and networks provide the key to successful relationship management. Journal of Business & Industrial Marketing, 17(7), 575-597.