Determinants of information quality in dyadic supply chain relationships
Journal article, 2019

The purpose of the paper is to explore how different determinants impact specifc information quality (IQ) dimensions of shared demand-related information in dyadic supply chain relationships. Through a qualitative case study of three manufacturersupplier dyads in the European automotive industry, a range of methods are used to collect data about 168 possible information quality deficiency situations. IQ deficiencies are identified in 50 situations and determinants thereof are explored. Findings show how inter-organisational collaboration, intra-organisational process support and composite information sharing directly impact five pragmatic IQ dimensions (relevance, accessibility, credibility, understandability, and ease of operation) - at times beneficially, varyingly, and conflictingly. Furthermore, the findings show how the determinant impact on ease of use-related IQ dimensions is moderated by information sharing facets. The paper extends previous research by showing how information sharing acts as both a determinant and moderator of pragmatic IQ. It furthermore details previous research by showing how previously examined determinants of IQ impact specific IQ dimensions. The generated propositions of how determinants impact pragmatic IQ can guide managers to identify key drivers of successful information sharing. Since IQ mediates the linkage between information sharing and performance, this research helps explaining conflicting results regarding the value of information sharing. It also guides several strands of future research, such as hypothesis testing and exploratory and conceptualizing studies.


Paulina Myrelid

Chalmers, Technology Management and Economics, Supply and Operations Management

Patrik Jonsson

Chalmers, Technology Management and Economics, Supply and Operations Management

International Journal of Logistics Management

0957-4093 (ISSN)

Vol. 30 1 356-380

Future of sharing schedule information in automotive industry supply chains using advanced data analytics

VINNOVA, 2018-10-01 -- 2021-05-31.

FFI - Strategic Vehicle Research and Innovation, 2018-10-01 -- 2021-05-31.

Areas of Advance



Subject Categories

Transport Systems and Logistics

Business Administration



More information

Latest update