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The impact of forecast information quality on supply chain performance
Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. (Supply Chain Studies)ORCID iD: 0000-0003-4255-1516
Chalmers University of Technology. (Supply Chain Studies)
2007 (English)In: International Journal of Operations & Production Management, ISSN 0144-3577, E-ISSN 1758-6593, Vol. 27, no 1, p. 90-107Article in journal (Refereed) Published
Abstract [en]

Purpose – This paper aims to describe the extent of supplier access to customer forecast information and the perceived quality of such information and also to explain the impact of forecast information access and forecast information quality (FIQ) on supply chain performance.

Design/methodology/approach – FIQ is defined, and a measurement instrument is developed from theory. The analysis is based on a survey of the most important suppliers of 136 Swedish companies.

Findings – Findings show that a large proportion of the suppliers receive customer forecasts, but that the FIQ is lower further upstream in the supply chain and, in some variables, lower for make‐to‐order suppliers. The greatest information quality deficiency of the forecast was that it was considered unreliable. The only significant difference in supply chain performance found between make‐to‐stock suppliers with and without access to forecast was related to the use of safety stock in finished goods inventory.

Research limitations/implications – The study contains two types of conclusions: those developed from the conceptual discussion in the theoretical framework and those of the empirical study. In the theoretical framework, measurement instruments for FIQ and supply chain performance (corrective actions, preventive actions and customer service performance) were developed. The study identified several empirical relationships, but it was conducted on a sample with a lot of variation.

Practical implications – The understanding of the performance impact of FIQ. FIQ shows quality deficiencies on all variables, which indicates room for improvement.

Originality/value – Research on supply chain information quality as well as dyadic research approaches are rare.

Place, publisher, year, edition, pages
2007. Vol. 27, no 1, p. 90-107
National Category
Transport Systems and Logistics
Research subject
Economy, Logistics
Identifiers
URN: urn:nbn:se:vxu:diva-2732DOI: 10.1108/01443570710714556OAI: oai:DiVA.org:vxu-2732DiVA, id: diva2:202688
Available from: 2007-12-13 Created: 2007-12-13 Last updated: 2017-12-13Bibliographically approved

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Forslund, HelenaJonsson, Patrik

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CiteExportLink to record
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