Development of a revised taxonomic approach for improving supply chain integration and collaboration
Abstract
Although integration and collaboration are considered critical factors in supply chain practice, improving integration and collaboration still encounters a dilemma that is ascribable to three problems, i.e., partners’ opportunistic behaviours, the complicated resource distribution and heavy workloads, and large time costs. To solve these problems and effectively improve integration and collaboration, a revised taxonomic approach will be developed in this research. Based on the case of East Asia, the revised taxonomic approach can produce guidelines to help manufacturers well know how to effectively improve integration and collaboration in a sequential manner and avoid encountering the three problems noted above. There are multiple implications of this study; the research results not only develop a new approach by revising theory but also provide convenient tools to help manufacturers effectively improve integration and collaboration when entering different markets. Thus, this study makes great contributions to the field.
Keyword : supply chain, integration, taxonomy, competitive performance, collaboration, opportunisitc behaviour
How to Cite
Chen, P.-K., & Lu, Y. Y. (2020). Development of a revised taxonomic approach for improving supply chain integration and collaboration. Journal of Business Economics and Management, 21(4), 945-966. https://doi.org/10.3846/jbem.2020.12427
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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McLaren, T., Head, M., & Yuan, Y. (2002). Supply chain collaboration alternatives: Understanding the expected costs and benefits. Internet Research, 12(4), 348–364. https://doi.org/10.1108/10662240210438416
Miller, J. G., & Roth, A. V. (1994). A taxonomy of manufacturing strategies. Management Science, 40(3), 285–304. https://doi.org/10.1287/mnsc.40.3.285
Miltenburg, J. (2005). Manufacturing strategy: How to formulate and implement a winning plan. CRC Press. https://doi.org/10.4324/9781482278392
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Nickerson, R. C., Muntermann, J., & Isaac, H. (2009). The emergence of a new form of IS offshore enterprise – The modern heterarchy. ECIS 2009 Proceedings.
Niu, B., Chan, F. T., Xie, T., & Liu, Y. (2017). Guided chemotaxis-based bacterial colony algorithm for three-echelon supply chain optimisation. International Journal of Computer Integrated Manufacturing, 30(2–3), 305–319. https://doi.org/10.1080/0951192X.2016.1145809
Oh, S., Ryu, Y. U., & Yang, H. (2016, January). Supply chain capabilities and information technology characteristics: Interaction effects on firm performance. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 1417–1425). IEEE. https://doi.org/10.1109/HICSS.2016.179
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Plott, C., Roll, R., Seo, H., & Zhao, H. (2019). Tick size, price grids and market performance: Stable matches as a model of market dynamics and equilibrium. Games and Economic Behavior, 118, 7–28. https://doi.org/10.1016/j.geb.2019.08.004
Prajogo, D., Oke, A., & Olhager, J. (2016). Supply chain processes: Linking supply logistics integration, supply performance, lean processes and competitive performance. International Journal of Operations & Production Management, 36(2), 220–238. https://doi.org/10.1108/IJOPM-03-2014-0129
Rakovska, M. A., & Stratieva, S. V. (2018, January). A taxonomy of healthcare supply chain management practices. Supply Chain Forum: An International Journal, 19(1), 4–24. https://doi.org/10.1080/16258312.2017.1395276
Sangari, M. S., Razmi, J., & Gunasekaran, A. (2016). Critical factors for achieving supply chain agility: Towards a comprehensive taxonomy. International Journal of Industrial and Systems Engineering, 23(3), 290–310. https://doi.org/10.1504/IJISE.2016.076870
Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of Operations Management, 30(1–2), 99–115. https://doi.org/10.1016/j.jom.2011.09.001
Schlegelmilch, B. B. (2016). Global supply chains and distribution networks. In Global Marketing Strategy (pp. 129–151). Springer. https://doi.org/10.1007/978-3-319-26279-6_7
Shin, J., & Lee, J. H. (2015). MDP formulation and solution algorithms for inventory management with multiple suppliers and supply and demand uncertainty. Computer Aided Chemical Engineering, 37, 1907–1912. https://doi.org/10.1016/B978-0-444-63576-1.50012-1
Soosay, C. A., & Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), 613–630. https://doi.org/10.1108/SCM-06-2015-0217
Sundram, V. P. K., Bahrin, A. S., Abdul Munir, Z. B., & Zolait, A. H. (2018). The effect of supply chain information management and information system infrastructure: The mediating role of supply chain integration towards manufacturing performance in Malaysia. Journal of Enterprise Information Management, 31(5), 751–770. https://doi.org/10.1108/JEIM-06-2017-0084
Tavana, M., Shabani, A., & Singh, R. (2019). The impact of interwoven integration practices on supply chain value addition and firm performance. Journal of Industrial Engineering International, 15, 1–13. https://doi.org/10.1007/s40092-019-0316-8
Wang, H., Mastragostino, R., & Swartz, C. L. (2016). Flexibility analysis of process supply chain networks. Computers & Chemical Engineering, 84, 409–421. https://doi.org/10.1016/j.compchemeng.2015.07.016
Xu, W., Chen, P. K., & Ye, Y. (2020). Effective improvement in supply chain integration through a revised taxonomy. In IEEE Engineering Management Review. https://doi.org/10.1109/EMR.2020.2968008
Zhao, X., Sum, C. C., Qi, Y., Zhang, H., & Lee, T. S. (2006). A taxonomy of manufacturing strategies in China. Journal of Operations Management, 24(5), 621–636. https://doi.org/10.1016/j.jom.2005.07.003
Zhao, X., Xie, J., & Lau, R. S. M. (2001). Improving the supply chain performance: Use of forecasting models versus early order commitments. International Journal of Production Research, 39(17), 3923–3939. https://doi.org/10.1080/00207540110072236
Avelar-Sosa, L., García-Alcaraz, J. L., & Maldonado-Macías, A. A. (2019). The importance of supply chains in global competitiveness. In Evaluation of supply chain performance (pp. 15–24). Springer. https://doi.org/10.1007/978-3-319-93876-9_2
Bai, X. J., & Gao, Y. P. (2017, October). Purchasing strategy analysis based on the relative value of the purchasing material. In 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017). Atlantis Press. https://doi.org/10.2991/mse-17.2017.20
Barratt, M. (2004). Understanding the meaning of collaboration in the supply chain. Supply Chain Management: an International Journal, 9(1), 30–42. https://doi.org/10.1108/13598540410517566
Boer, H., & Boer, H. (2019). Design-for-variety and operational performance. Journal of Manufacturing Technology Management, 30(2), 438–461. https://doi.org/10.1108/JMTM-03-2018-0065
Cao, Z., Huo, B., Li, Y., & Zhao, X. (2015). Competition and supply chain integration: A taxonomy perspective. Industrial Management & Data Systems, 115(5), 923–950. https://doi.org/10.1108/IMDS-10-2014-0315
Chen, P. K., Chou, F. D., Dai, X., & Ye, Y. (2018). Development of a supply chain integration process. IEEE Access, 6, 40226–40244. https://doi.org/10.1109/ACCESS.2018.2856262
Dowlatshahi, S., & Taham, F. (2009). The development of a conceptual framework for Just-In-Time implementation in SMEs. Production Planning and Control, 20(7), 611–621. https://doi.org/10.1080/09537280903034305
Echave, I., de los Santos, A., Garmendia, I., & Gil, A. M. (2006, June). Tools and practices for the product innovation process in the company’s network. In 2006 IEEE International Technology Management Conference (ICE) (pp. 1–8). IEEE. https://doi.org/10.1109/ICE.2006.7477045
Edmunds, P. (2015). Achieving a competitive supply chain network for a manufacturer. Journal of Manufacturing Technology Management, 26(5), 744–762. https://doi.org/10.1108/JMTM-01-2013-0004
Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: An international study of supply chain strategies. Journal of Operations Management, 19(2), 185–200. https://doi.org/10.1016/S0272-6963(00)00055-3
Grant, N., Cadden, T., McIvor, R., & Humphreys, P. (2013). A taxonomy of manufacturing strategies in manufacturing companies in Ireland. Journal of Manufacturing Technology Management, 24(4), 488–510. https://doi.org/10.1108/17410381311327378
Huo, B., Gu, M., & Wang, Z. (2018). Supply chain flexibility concepts, dimensions and outcomes: An organisational capability perspective. International Journal of Production Research, 56(17), 5883–5903. https://doi.org/10.1080/00207543.2018.1456694
Huo, B., Ye, Y., Zhao, X., & Zhu, K. (2019). Supply chain quality integration: A taxonomy perspective. International Journal of Production Economics, 207, 236–246. https://doi.org/10.1016/j.ijpe.2016.05.004
Ye, Z., Ming, L., & Meiging, Z. (2008, July). Coupling evaluation and optimization strategy of the Supply Chain System. In 2008 Chinese Control and Decision Conference (pp. 1156–1159). IEEE.
Yuen, K. F., & Thai, V. (2017). Barriers to supply chain integration in the maritime logistics industry. Maritime Economics & Logistics, 19(3), 551–572. https://doi.org/10.1057/mel.2016.10
Kasemsap, K. (2016). Fostering supply chain management in global business. In Handbook of research on global supply chain management (pp. 45–71). IGI Global. https://doi.org/10.4018/978-1-4666-9639-6.ch003
Kathuria, R. (2000). Competitive priorities and managerial performance: A taxonomy of small manufacturers. Journal of Operations Management, 18(6), 627–641. https://doi.org/10.1016/S0272-6963(00)00042-5
Kumar, V., Holt, D., Ghobadian, A., & Garza-Reyes, J. A. (2015). Developing green supply chain management taxonomy-based decision support system. International Journal of Production Research, 53(21), 6372–6389. https://doi.org/10.1080/00207543.2014.917215
Lee, A. B. S., Chan, F. T., & Pu, X. (2018). Impact of supplier development on supplier’s performance. Industrial Management & Data Systems, 118(6), 1192–1208. https://doi.org/10.1108/IMDS-05-2017-0229
Liu, C., Huo, B., Liu, S., & Zhao, X. (2015). Effect of information sharing and process coordination on logistics outsourcing. Industrial Management & Data Systems, 115(1), 41–63. https://doi.org/10.1108/IMDS-08-2014-0233
McLaren, T., Head, M., & Yuan, Y. (2002). Supply chain collaboration alternatives: Understanding the expected costs and benefits. Internet Research, 12(4), 348–364. https://doi.org/10.1108/10662240210438416
Miller, J. G., & Roth, A. V. (1994). A taxonomy of manufacturing strategies. Management Science, 40(3), 285–304. https://doi.org/10.1287/mnsc.40.3.285
Miltenburg, J. (2005). Manufacturing strategy: How to formulate and implement a winning plan. CRC Press. https://doi.org/10.4324/9781482278392
Mora‐Monge, C. A., Hong, P., Tran, O., & Park, K. (2010). Electronic commerce applications for supply chain integration and competitive capabilities. Benchmarking: An International Journal, 17(4), 539–560. https://doi.org/10.1108/14635771011060585
Nguyen, M. A. T., Lei, H., Vu, K. D., & Le, P. B. (2019). The role of cognitive proximity on supply chain collaboration for radical and incremental innovation: A study of a transition economy. Journal of Business & Industrial Marketing, 34(3), 591–604. https://doi.org/10.1108/JBIM-07-2017-0163
Nickerson, R. C., Muntermann, J., & Isaac, H. (2009). The emergence of a new form of IS offshore enterprise – The modern heterarchy. ECIS 2009 Proceedings.
Niu, B., Chan, F. T., Xie, T., & Liu, Y. (2017). Guided chemotaxis-based bacterial colony algorithm for three-echelon supply chain optimisation. International Journal of Computer Integrated Manufacturing, 30(2–3), 305–319. https://doi.org/10.1080/0951192X.2016.1145809
Oh, S., Ryu, Y. U., & Yang, H. (2016, January). Supply chain capabilities and information technology characteristics: Interaction effects on firm performance. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 1417–1425). IEEE. https://doi.org/10.1109/HICSS.2016.179
Paulraj, A., Chen, I. J., & Lado, A. A. (2012). An empirical taxonomy of supply chain management practices. Journal of Business Logistics, 33(3), 227–244. https://doi.org/10.1111/j.0000-0000.2012.01046.x
Plott, C., Roll, R., Seo, H., & Zhao, H. (2019). Tick size, price grids and market performance: Stable matches as a model of market dynamics and equilibrium. Games and Economic Behavior, 118, 7–28. https://doi.org/10.1016/j.geb.2019.08.004
Prajogo, D., Oke, A., & Olhager, J. (2016). Supply chain processes: Linking supply logistics integration, supply performance, lean processes and competitive performance. International Journal of Operations & Production Management, 36(2), 220–238. https://doi.org/10.1108/IJOPM-03-2014-0129
Rakovska, M. A., & Stratieva, S. V. (2018, January). A taxonomy of healthcare supply chain management practices. Supply Chain Forum: An International Journal, 19(1), 4–24. https://doi.org/10.1080/16258312.2017.1395276
Sangari, M. S., Razmi, J., & Gunasekaran, A. (2016). Critical factors for achieving supply chain agility: Towards a comprehensive taxonomy. International Journal of Industrial and Systems Engineering, 23(3), 290–310. https://doi.org/10.1504/IJISE.2016.076870
Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of Operations Management, 30(1–2), 99–115. https://doi.org/10.1016/j.jom.2011.09.001
Schlegelmilch, B. B. (2016). Global supply chains and distribution networks. In Global Marketing Strategy (pp. 129–151). Springer. https://doi.org/10.1007/978-3-319-26279-6_7
Shin, J., & Lee, J. H. (2015). MDP formulation and solution algorithms for inventory management with multiple suppliers and supply and demand uncertainty. Computer Aided Chemical Engineering, 37, 1907–1912. https://doi.org/10.1016/B978-0-444-63576-1.50012-1
Soosay, C. A., & Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), 613–630. https://doi.org/10.1108/SCM-06-2015-0217
Sundram, V. P. K., Bahrin, A. S., Abdul Munir, Z. B., & Zolait, A. H. (2018). The effect of supply chain information management and information system infrastructure: The mediating role of supply chain integration towards manufacturing performance in Malaysia. Journal of Enterprise Information Management, 31(5), 751–770. https://doi.org/10.1108/JEIM-06-2017-0084
Tavana, M., Shabani, A., & Singh, R. (2019). The impact of interwoven integration practices on supply chain value addition and firm performance. Journal of Industrial Engineering International, 15, 1–13. https://doi.org/10.1007/s40092-019-0316-8
Wang, H., Mastragostino, R., & Swartz, C. L. (2016). Flexibility analysis of process supply chain networks. Computers & Chemical Engineering, 84, 409–421. https://doi.org/10.1016/j.compchemeng.2015.07.016
Xu, W., Chen, P. K., & Ye, Y. (2020). Effective improvement in supply chain integration through a revised taxonomy. In IEEE Engineering Management Review. https://doi.org/10.1109/EMR.2020.2968008
Zhao, X., Sum, C. C., Qi, Y., Zhang, H., & Lee, T. S. (2006). A taxonomy of manufacturing strategies in China. Journal of Operations Management, 24(5), 621–636. https://doi.org/10.1016/j.jom.2005.07.003
Zhao, X., Xie, J., & Lau, R. S. M. (2001). Improving the supply chain performance: Use of forecasting models versus early order commitments. International Journal of Production Research, 39(17), 3923–3939. https://doi.org/10.1080/00207540110072236