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Measuring supply chain performance: a lifecycle framework and a case study
- Source :
- International Journal of Operations & Production Management. 38:934-956
- Publication Year :
- 2018
- Publisher :
- Emerald, 2018.
-
Abstract
- Purpose The purpose of this paper is to provide a conceptual framework of the supply chain performance measurement system (SCPMS) lifecycle (highlighting key activities of the design, implementation, use and review phases) and to investigate how the different actors involved in the SCPMS perceive the system and can act to allow for an effective adoption. Design/methodology/approach The SCPMS lifecycle framework is developed grounding on performance measurement and supply chain (SC) management literature. To answer the two theory-building research questions, an in-depth case study involving seven firms across three tiers of the mass retail SC has been conducted. Findings The empirical evidence highlighted potential SCPMS benefits (including operational performance improvement, higher control, lower information overloading and higher SC integration) and criticalities/barriers to an effective adoption (lack of industry standards, lack of trust regarding data reliability, SCPMS as a tool of power, lack of interest in the system and the performance metrics). Several elements characterizing the SCPMS lifecycle could increase its effective adoption: engaging SC partners in the design phase; relying on a rigorous primary data collection and performance measures calculation; and actively exploiting the tool through a systematic discussion on performance and establishing incentive/disincentives plans. Originality/value The paper contributes to the conceptualization of SCPMSs and to clarify how to ensure an effective SCPMS adoption: apart from relationship-specific attributes, SCPMS lifecycle phases are suggested to have a key role.
- Subjects :
- Lifecycle
0209 industrial biotechnology
Data collection
Process management
Conceptualization
Computer science
Strategy and Management
Supply chain
Case study
05 social sciences
Control (management)
General Decision Sciences
Performance measurement system
02 engineering and technology
020901 industrial engineering & automation
Incentive
Conceptual framework
Management of Technology and Innovation
0502 economics and business
Performance measurement
Empirical evidence
050203 business & management
Subjects
Details
- ISSN :
- 01443577
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- International Journal of Operations & Production Management
- Accession number :
- edsair.doi.dedup.....193e23aa8b97c529c646feca41e82e53
- Full Text :
- https://doi.org/10.1108/ijopm-07-2015-0455