바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Profiling Approach for the Choice between Speculation and Postponement Strategy in Supply Chain Management

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2014, v.12 no.4, pp.47-54
https://doi.org/https://doi.org/10.15722/jds.12.4.201404.47
Kang, Sung-Wook
Kim, Gyu-Bae
  • Downloaded
  • Viewed

Abstract

Purpose - The postponement strategy, which delays the form, place, and production of products as late as possible, has been widely considered as a competitive supply chain management scheme in an era of mass customization and modular manufacturing. An interesting business phenomenon is that not all manufacturing/logistics firms choose the postponement strategy. Given that postponement is a counter-measure to speculation, which has some advantages under certain environments, the current imprudent inclination toward the postponement strategy may cause firms to lose the potential of the speculation strategy, an alternative strategy in supply chain management. Building on the logistics and manufacturing literature, this study examines characteristics of two contrasting strategies, postponement and speculation, and major factors favoring each strategy. Research design, data, and methodology - We apply the profiling approach to two business cases, HP printer and LG mobile phone. The profiling approach is a method of choosing a particular strategy aligned with environmental factors. While various approaches have been used to check the fit between a business strategy and environmental factors, the literature on manufacturing strategy and logistics has commonly adopted the profiling approach. Major factors used in profiling variables are derived from the literature. Two samples, HP printer and LG mobile phone, are selected, because they represent major characteristics appropriate for each strategy. The profiling is based on data from semi-organized interviews with managers. Results - The profiling approach shows that the postponement strategy is a suitable one for HP printers. Most factors, such as product life cycle, large production volume, low-price, product value, and monetary density, support delaying end products until as late as possible. Despite some exceptions, such as delivery time and economy of scale, our analysis states that the overall profile of HP printer is favorable for the postponement strategy. On the other hand, LG mobile phone may adapt the speculation strategy. Although it has large production volume and low delivery frequency, most characteristics support the speculation strategy for this product. An interesting finding is that, despite common perception that advanced technology products such as mobile telephones favor the postponement strategy, profiling proposes the speculation strategy for this product. Conclusions - Our analysis shows that speculation is not the universal option for supply chain management, and that, when choosing a specific strategy, one should consider many factors simultaneously. A major implication of our work is to emphasize the role of environmental factors such as supply chain variables in choosing an inventory strategy, and the importance of fit rather than solely strategic orientation. A theoretical contribution is to demonstrate the benefit of the simultaneous consideration of business variables in choosing specific strategies. For practitioners, our work leads us to consider the existence and the potential of speculation as a counter-measure to postponement. In addition, the comprehensive framework in this research may be instantly used in examining a practical strategy.

keywords
Supply Chain Management, Postponement, Speculation, Profiling Model, Fit

Reference

1.

Bailey, J., & Rabinovich, E. (2006). The adoption of inventory postponement and speculation: an empirical assessment of oligopolistic internet retailer. Transportation Research Part E, 42, 258-271.

2.

Bucklin, L. P. (1965). Postponement, speculation and the structure of distribution channels. Journal of Marketing Research, 2(2), 26-31.

3.

Earnst, R., & Kamrad, B. (2000). Evaluation of supply chain structures through modularization and postponement. European Journal of Operational Research, 124, 495-510.

4.

Feitzinger, E., & Lee, H. L. (1997). Mass customization at Hewlett-Packard: The power of postponement. Harvard Business Review, 75(1), 116-121.

5.

Ham, Min-Je, & Lee, Ji-Hoon (2012). A study on the optimized demand fulfillment process considering integrated supply chain visibility: based on a case study on the electronics industry. Entrue journal of Information technology, 11(3), 161-173.

6.

Hill, T. (2000). Manufacturing Strategy: Text and cases(2nd ed.). Houndmills, Hampshire, UK: Palgrave Macmillan.

7.

Hoek, R. I. V. (2001). The rediscovery of postponement: a literature review and directions for research. Journal of Operations Management. 19, 161-184.

8.

Hoek, R. I. V., Commandeur, H. R., & Voss, R. (1998). Reconfiguring logistics systems through postponement strategies. Journal of Business Logistics. 19(1), 33-54,

9.

Huang, Y., & Li, S. (2009). The current status and affecting factors of postponement application in Greater China. Asian Pacific Management Review, 14(3), 363-378.

10.

Kim, Chang-Suk. (2012). A study on transportation uncertainty and postponement strategy. Korean Logistics Review, 22(5), 229-256.

11.

Kim, Dong-Yun, Moon, Mi-Jin, & Lee, Sang-Youn (2013). A study on the retailer’s global expansion strategy and supply chain management: focus on the Metro Group. Journal of Distribution Science, 11(12), 25-37.

12.

Kim, Tae-Ryong, & Song Jang-Gwen (2013). The effect of asset specificity, information sharing, and a collaborative environment on supply chain management (SCM): An integrated SCM performance model. Journal of Distribution Science, 11(4), 51-60.

13.

Kristal, M. M., Huang, X., & Roth, A, V. (2010). The effect of an ambidextrous supply chain strategy on combinative competitive capabilities and business performance. Journal of Operations Management, 28, 415-429.

14.

Lee, Gi-Wan, & Lee, Sang-Youn (2011). A study of SCM strategicplan:Focusing on the case of LG electronics. Journal of Distribution Science, 9(3), 83-96.

15.

Nickerson, A., Hamilton, B. H., & Wada, T. (2001). Market position, resource profile and governance: linking Porter and Williamson in the context of international courier and small package services in Japan. Strategic Management Journal, 22(3), 251-273.

16.

Pagh, J.D., & Cooper, M.C. (1998). Supply chain postponement and speculation strategies: how to choose the right strategy. Journal of Business Logistics. 19(2), 13-32.

17.

Silveira, G. (2005). Market priorities, manufacturing configuration, and business performance: an empirical analysis of the order-winner framework, Journal of Operations Management, 23, 662-675.

18.

Venkatraman, N. (1989). The concept of the fit in strategy research:toward verbal and statistical correspondence. Academy of Management Review, 14(3), 423-444.

19.

Waller, M. A., Dabholkar, P. A., & Gentry, J. J. (2000). Postponement, product customization, and market-oriented supply chain management. Journal of Business Logistics, 21(2),133-159.

The Journal of Distribution Science