TY - JOUR
AU - Katerina Pramatari
AB - Purpose – The objective of this paper is to demonstrate the challenges when developing a common performance measurement system (PMS) in the context of a collaborative supply chain. Design/methodology/approach – The paper utilizes qualitative and quantitative data from a case study. The qualitative data refer to the assessment of collaborative performance measures based on interviews with experts, while the quantitative data demonstrate the use of two performance measures in a collaborative supply chain network. Findings – The development of a collaborative PMS is a challenging task. Through the systematic study of two significant performance measures for a supply chain, it was found that the one could not be supported due to reliability restrictions, while the other requires the development of a complex information system. Based on these, a discussion of specific challenges follows. Research limitations/implications – The paper has the general case study limitations. Practical implications – Companies operating in supply chain networks need to synchronize existing business processes and data before the design of a new PMS. Selecting the measures and the measurement method is not a trivial task. Important challenges reveal when dealing with, underlying data, business processes and the evaluation method of a PMS in supply chains. Originality/value – The management control function usually focuses on the design and development of PMSs for a single organization. Limited knowledge exists when more than two companies require the development of a PMS for a jointly agreed business process.
TI - Collaborative performance measurement in supply chain
JF - Industrial Management & Data Systems
DO - 10.1108/02635571011087400
DA - 2010-09-28
UR - https://www.deepdyve.com/lp/emerald-publishing/collaborative-performance-measurement-in-supply-chain-OEyMQRO7d0
SP - 1297
EP - 1318
VL - 110
IS - 9
DP - DeepDyve
ER -