1Department of Management Studies, Madurai Kamaraj University, Madurai, Tamil Nadu, India
2Department of Business Administration, Thiagarajar College, Madurai, Tamil Nadu, India
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This article offers a thorough review of the literature on product- and service-based supply chain (SC)-based capacity management (CM) solutions for the services industry. The primary objective is to address the research deficit concerning CM within SC operations, particularly given the escalating trend of SCs integrating service provision. The study aims to delineate the foundational principles and methodical approaches required for efficient capacity increase by synthesising knowledge across the disciplines of operations management, manufacturing SCs, services marketing and industrial engineering. The analysis indicates that CM is frequently underrepresented in SC literature, particularly as it relates to the burgeoning service economy. Crucially, research gaps exist concerning the evolving network-based SC systems prevalent in underdeveloped economies. The study affirms that building capacity, defined as enhancing the knowledge, skills and expertise of individuals and organisations, is critical for modern SC management (SCM). Effective capacity expansion is essential for improving operational efficiency, reducing costs, and providing customer value amidst intensified globalisation and technological change. This research proposes a value delivery technique utilising capacity management systems (CMSs) to effectively mitigate SC risks (SCRs) and enhance overall business performance.
The increasing proportion of consumer spending allocated to services has underscored their growing significance, leading to the assertion that services are relevant across all business sectors.
Supply chain, capacity management strategies, supply chain risk management (SCRM), services supply chains (SSC), capacity augmentation, value delivery frameworkts7
Afolayan, A., White, G. R. T., & Mason-Jones, R. (2016). Why knowledge acquisition is important to effective supply chain management: The role of supply chain managers as knowledge acquisitors. British Academy of Management Conference, Newcastle.
Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Production, manufacturing and logistics modelling the metrics of lean, agile and legal supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211–225.
Agrawal, A. K., Kumar, D., & Rahman, Z. (2017). An ISM approach for modelling the enablers of sustainability in market-oriented firm. International Journal of Business Excellence, 12(1), 23–45.
Ambulkar, S., Blackhurst, J., & Grawe, S. (2015, January). Firm’s resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33(2), 111–122.
Andersen, E. G., & Morris, D. J. (2000). A simulation game for service-oriented SCM: Does information sharing managers with service capacity decisions? The Journal of Production and Operations Management, 9(1), 40–55.
Anderson, E. G., Jr., Fine, C. H., Gilboy, G. J., & Parker, G. G. (1995). Upstream volatility in the supply chain: The machine tool industry as a case study. Production and Operations Management, 9(3), 239–261.
Ang, S., & Straub, D. W. (1998). Production and transaction economies and is outsourcing: A study of the US banking industry. MIS Quarterly, 22(4), 535–552.
Auramo, J., & Ala-risku, T. (2005). Challenges for going downstream. International Journal of Logistics Research and Applications, 8(4), 333–345.
Avery, S. L., & Swafford, P. M. (2009). Social capital impact on service supply chains. Journal of Service Science, 2(2), 9–16.
Bai, L., Liu, H., Tsui, K. L., & Ye, H. Q. (2008). Reducing bullwhip effect in supply chains using control variates. Quality Technology & Quantitative Management, 5(3), 221–241.
Baramichai, M., Zimmers, E. W., Jr., & Marangos, C. A. (2007). Agile supply chain transformation matrix: An integrated tool for creating an agile enterprise. Supply Chain Management: An International Journal, 12(5), 334–348.
Barve, A. (2010). Impact of supply chains agility on customer satisfaction. International Conference on E-business, Management and Economics.
Bhattacharya, R., & Bandyopadhyay, S. (2011). A review of the causes of bullwhip effect in a supply chain. International Journal of Advanced manufacturing Technology, 54(9), 1245–1261.
Bolumole, Y. A. (2003). Evaluating the supply chain role of logistics service providers. The International Journal of Logistics Management, 14(2), 93–107.
Boone, T., & Ganeshan, R. (2001). The effect of information technology on learning in professional service organizations. Journal of Operations Management, 19(4), 485–495.
Boukherroub, T., Ruiz, A., Guinet, A., & Fondrevelle, J. (2015, February). An integrated approach for sustainable supply chain planning. Computers & Operations Research, 54(2), 180–194.
Brausch, J. M., & Taylor, T. C. (1997). Who is accounting for the cost of capacity. Management Accounting, 44–50.
Bray, R. L., & Mendelson, H. (2012). Information transmission and the bullwhip effect: An empirical investigation. Management Science, 58(5), 860–875.
Buchmeister, P., & Palcic, P. (2008). Bullwhip effect problem in supply chains. Advances in Production Engineering and Management, 3(1), 45–55.
Butner, K. (2010). The smarter supply chain of the future. Strategy & Leadership, 38(1), 22–31.
Cachon, G. P., & Fisher, M. (2000). Supply chain inventory management and the value of shared information. Management Science, 46(8), 1032–1048.
Cachon, G. P., & Lariviere, M. A. (1999). Capacity choice and allocation: Strategic behaviour and supply chain performance. Management Science, 45(8), 1091–1108.
Cachon, G. P., Taylor, R., & Schmidt, G. M. (2007). In search of the bullwhip effect. Manufacturing and Service Operations Management, 9(4), 457–479.
Caridi, M., Crippa, L., Perego, A., Sianesi, A., & Tumino, A. (2010). Measuring visibility to improve supply chain performance: A quantitative approach. Benchmarking: An International Journal, 17(4), 593–615.
Carlsson, C., & Fuller, R. (2000). A fuzzy approach to the bullwhip effect. Conference Proceedings: 15th European Meet, Cybernetics and Systems Research (pp. 228–233).
Croom, S., Romano, P., & Giannakis, M. (2000). Supply chain management: An analytical framework for critical literature review. European Journal of Purchasing & Supply Management, 6(1), 67–83. https://doi.org/10.1016/S0969-7012(99)00030-1
Disney, S. M., & Towill, D. R. (2003b). Vendor-managed inventory and bullwhip reduction in a two-level supply chain. International Journal of Operations & Production Management, 23(6), 568–595.
Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration—An international study of supply chain strategies. Journal of Operations Management, 19(2), 185–200.
Frohlich, M. T., & Westbrook, R. (2002). Demand chain management in manufacturing and services: Web-based integration, drivers and performance. Journal of Operations Management, 20(1), 729–745.
Gravier, M. J., & Farris, M. T. (2008). An analysis of logistics pedagogical literature: Past and future trends in curriculum, content, and pedagogy. The International Journal of Logistics Management, 19(2), 233–253.
Gunasekaran, A., Lai, K. H., & Cheng, T. C. E. (2008). Responsive supply chain—A competitive strategy in networked economy. Omega, 36(1), 549–564.
Gunasekaran, A., & Ngai, E. W. T. (2005). Build-to-order supply chain management: A literature review and framework for development. Journal of Operations Management, 23(5), 423–451.
Guo, X., Ling, L., Dong, Y., & Liang, L. (2013, April). Cooperation contract in tourism supply chains: The optimal pricing strategy of hotels for cooperative third-party strategic websites. Annals of Tourism Research, 41(2), 20–41.
Holmström, J., Pertu, L., Antti, V., & William, H. (2001). The other end of the supply chain. Supply Chain Forum: An International Journal, 2(1), 22–25.
Holweg, M., & Bicheno, J. (2002). Supply chain simulation—A tool for education, enhancement and endeavour. International Journal of Production Economics, 78(2), 163–175.
Hope, C., & Mühlemann, A. (1997). Service operations management: Strategy, design, and delivery. Prentice Hall.
Hübner, A. H., Kuhn, H., & Sternbeck, M. G. (2011). Demand and supply chain planning in grocery retail: An operations planning framework. International Journal of Retail and Distribution Management, 41(7), 512–530.
Jallat, F., & Ancarani, F. (2008). Yield management, dynamic pricing and CRM in telecommunications. Journal of Services Marketing, 22(6), 465–478.
Johnston, R. (2005). UPDATE: Service operations management: From the roots up. International Journal of Operations & Production Management, 25(12), 1298–1308.
Kaipia, R., Korhonen, H., & Hartiala, H. (2006). Planning nervousness in a demand supply network: An empirical study. The International Journal of Logistics Management, 17(1), 95–113.
Kamath, V., Rodrigues, L. L. R., & Desai, P. V. (2016). The significance of knowledge management, innovation on firm performance in the Indian manufacturing sectors: An empirical analysis. International Journal of Business Excellence, 9(2), 178–191.
Kandampully, J. (2000). Case study—The impact of demand fluctuation on the quality of service: A tourism industry example. Managing Service Quality, 10(1), 10–18.
Khan, M. Z., Kumar, A., Liu, Y., Gupta, P., & Sharma, D. (2024). Modelling enablers of agile and sustainable sourcing networks in a supply chain: A case of the plastic industry. Journal of Cleaner Production, 435, 140522. https://doi.org/10.1016/j.jclepro.2023.140522
Kim, H. J. (2017). The complementary effects of transaction cost economics and resource-based view: A technological alliance perspective. International Journal of Business Excellence, 13(3), 355–376.
Kim, H., & Bang, Y. (2025). Examining barriers and facilitators of capacity building in development: A systematic review of international development projects. Development Studies Research, 12(1). https://doi.org/10.1080/21665095.2025.2517766
Kok, T. D., Janssen, F., Doremalen, J. V., Wachem, E. V., Clerkx, M., & Peeters, W. (2005). Philips electronics synchronizes its supply chain to end the bullwhip effect. Interfaces, 35(1), 37–48.
Kothandaraman, K., & Kamalanabhan, T. J. (2018). People process excellence and business outcomes—A structural equation modelling-based analysis. International Journal of Business Excellence, 15(1), 1–17.
Lee, H. L. (2001). Ultimate enterprise value creation using demand-based management (Stanford Global Supply Chain Management Forum, SGSCMF-W1-2001). Stanford University.
Lee, H. L. (2002). Aligning supply chain strategies with product uncertainties. California Management Review, 44(3), 105–119.
Leech, D. P., Link, A. N., Scott, J. P., & Reed, L. S. (1998). TASC Inc.—The economics of a technology-focused services sector, a planning report for NIST.
Leishman, J., Robison, R., Rogers, C., & Zarbock, S. (2005). Bullwhip effect BUSM, 361, Sec 2. Bahria University.
Lim, D., & Palvia, P. (2001). EDI in strategic supply chain: Impact on customer service. International Journal of Information Management, 21(3), 193–211.
Liu, S., Moizer, J., Megicks, P., Kasturiratne, D., & Jayawickrama, U. (2014). A knowledge chain management framework to support integrated decisions in global supply chains. Production Planning & Control, 25(8), 639–649.
Lovelock, C. H. (1983). Classifying services to gain strategic marketing insights. Journal of Marketing, 47(3), 9–20.
More, E., & McGrath, M. (2002). An Australian case in e-health communication and change. Journal of Management Development, 21(8), 621–632.
Moreau, A. D. (1999). Waiting for service: Ten years of empirical research. International Journal of Service Industry Management, 10(2), 171–189.
Moyaux, T., Chaib-draa, B., & D’Amour, S. (2007). Information sharing as a coordination mechanism for reducing the bullwhip effect in a supply chain. IEEE Transactions on Systems, Man and Cybernetics—Part C: Applications and Reviews, 37, 396–409.
Murdick, R. G., Render, B., & Russell, R. S. (1990). Service operations management. Operations management series. Allyn and Bacon.
Rajani, R. L., & Heggde, G. S. (2020). Capacity management strategies in supply chains—A critical review and directions for future. International Journal of Business Excellence, 21(1), 81. https://doi.org/10.1504/ijbex.2020.106951
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
Vickery, S. K., Jayaram, J., Droge, C., & Calantone, R. (2003). The effects of an integrative supply chain strategy on customer service and financial performance: An analysis of direct versus indirect relationships. Journal of Operations Management, 21(5), 523–539.
Wang, Y., Wallace, S. W., Shen, B., & Choi, T. M. (2015). Service supply chain management: A review of operational models. European Journal of Operational Research, 247(3), 685–698.
Wu, D. Y., & Katok, E. (2006). Learning, communication, and the bullwhip effect. Journal of Operations Management, 24(6), 839–850.
Youssef, M. A., Youssef, E. M., & Motwani, J. G. (2015). A structural equation model for measuring the JIT intensity and its impact on manufacturing flexibility. International Journal of Business Excellence, 8(3), 324–356.
Yu, M. C., & Goh, M. (2014). A multi-objective approach to supply chain visibility and risk. European Journal of Operational Research, 233(1), 125–130.
Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1985). Problems and strategies in services marketing, Journal of Marketing, 49(2), 33–46.
Zhao, L., Huo, B., Sun, L., & Zhao, X. (2013). The impact of supply chain risk on supply chain integration. Supply Chain Management: An International Journal, 18(2), 115–131.
Annexure: Coding Scheme Summary
Themes: Supply Chain Risks (Demand Variability, Capacity Mismatch, Quality); CMS Strategies (Planning, Information Sharing, Augmentation); and Performance Results (Financial, Customer Satisfaction).