Abstract—The emphasis in supply chain and operations management is still strongly skewed toward the manufacturing sector. Thus, there has been little research to date on service supply chain related to the development of sound measurement constructs. The aim of this study is to develop a meaningful scale to measure service supply chain management processes. The finding of Q-Sort technique is a set of scales corresponding to a target dimension. However, four dimensions, including Demand Management, Capacity and Resource Management, Order Process Management, Service Performance Management have limited numbers of qualifying scales, indicating that the scales need to be reviewed, and another round of Q-Sort should be run to give a second chance. As the implication, the results indicate that the Q-Sort technique is a useful approach in eliminating the validity and reliability problem particularly in the early scale development stages for defining the constructs of supply chain management processes in the service context.
Index Terms—Service supply chain; Q-sort; scale development
Sakun Boon-itt is the with Department of Operations Management, Thammasat Business School, Thailand. He has published many papers ininternational journals, including conference papers.
Chanida Pongpanarat, is currently a MBA student at Thammasat Business School, Bangkok, Thailand.
Cite: Sakun Boon-itt and Chanida Pongpanarat, "Measuring Service Supply Chain Management Processes:The Application of the Q-Sort Technique," International Journal of Innovation, Management and Technology vol. 2, no. 3, pp. 217-221, 2011.