The impact of supply chain relationships and automatic data communication and registration on forecast information quality
International Journal of Physical Distribution & Logistics Management
ISSN: 0960-0035
Article publication date: 16 May 2008
Abstract
Purpose
The purpose of this paper is to explain the effects of the customer‐supplier relationship and of automatic forecast data communication and registration on the perceived information quality of forecasts.
Design/methodology/approach
A conceptual model and three hypotheses are derived. The empirical analysis is based on survey data from 219 Swedish manufacturing companies.
Findings
Findings show that the customer‐supplier relationship and automatic data communication and registration have significant impact on the perceived quality of forecast information received from a downstream customer in the supply chain. The reliability and timeliness of the forecast information are affected to about the same extent by both the relationship type and the data communication and registration strategy. Credibility is correlated with the relationship type, while the completeness, validity and conciseness of the received forecast are operative issues depending mainly on the communication strategy.
Research limitations/implications
Using single informants, focal customers and some single‐item constructs in research design.
Practical implications
The paper explains how various dimensions of forecast information quality are affected by different factors, thus guiding how to differentiate information quality improvement work in diverse situations.
Originality/value
Detailed empirical studies of supply chain information exchange, especially focusing on explaining causes of high‐quality information exchange, are lacking in the literature and demanded in industry.
Keywords
Citation
Jonsson, P. and Gustavsson, M. (2008), "The impact of supply chain relationships and automatic data communication and registration on forecast information quality", International Journal of Physical Distribution & Logistics Management, Vol. 38 No. 4, pp. 280-295. https://doi.org/10.1108/09600030810875382
Publisher
:Emerald Group Publishing Limited
Copyright © 2008, Emerald Group Publishing Limited