2019
DOI: 10.1108/ijlm-12-2017-0343
|View full text |Cite
|
Sign up to set email alerts
|

Determinants of information quality in dyadic supply chain relationships

Abstract: Purpose The purpose of this paper is to explore how different determinants impact specific information quality (IQ) dimensions of shared demand-related information in dyadic supply chain relationships. Design/methodology/approach Through a qualitative case study of three manufacturer–supplier dyads in the European automotive industry, a range of methods are used to collect data about 168 possible IQ deficiency situations. IQ deficiencies are identified in 50 situations and determinants thereof are explored. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
9
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 17 publications
(11 citation statements)
references
References 60 publications
1
9
0
Order By: Relevance
“…The situation observed in companies A, C and D also allowed identifying the IQ as an intervening element in the dyadic relationship between integration and performance. This is in accordance with the study of Myrelid & Jonsson (2019). As IQ determinants, they defined factors related to information exchange, interorganizational collaboration and intraorganizational process support.…”
Section: Summary Of the Comparative Resultssupporting
confidence: 82%
See 1 more Smart Citation
“…The situation observed in companies A, C and D also allowed identifying the IQ as an intervening element in the dyadic relationship between integration and performance. This is in accordance with the study of Myrelid & Jonsson (2019). As IQ determinants, they defined factors related to information exchange, interorganizational collaboration and intraorganizational process support.…”
Section: Summary Of the Comparative Resultssupporting
confidence: 82%
“…The relationship between integration and IQ is explored by Myrelid & Jonsson (2019). By means of case studies, they investigated how different determinants of IQ affect specific dimensions of it, when demand-related information is shared in the supply chain by means of dyadic relationships.…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies commonly adopted the quality of information shared [30] to measure information sharing. Myrelid and Jonsson [31] argued that information quality is a general term for companies to measure the timeliness, accuracy, and completeness of information shared between supply chain partners. Improving information quality is important to help partners achieve supply chain cooperation objectives [32].…”
Section: Information-sharing Qualitymentioning
confidence: 99%
“…Information quality is defined as "desirable characteristics of the (information) system outputs" (Peter et al, 2013). It can be assessed by indicators such as relevance (Holliman & Rowley, 2014;Myrelid & Jonsson, 2019;Pazeraite & Repoviene, 2016;Peter et al, 2013), accuracy, currency, usefulness (Holliman & Rowley, 2014;Peter et al, 2013), sufficiency, comprehensibility (Myrelid & Jonsson, 2019;Peter et al, 2013), accessibility (Myrelid & Jonsson, 2019), and reliability (Myrelid & Jonsson, 2019;Pazeraite & Repoviene, 2016). An attempt to assess the quality of BIM objects is the BSI Kitemark for BIM objects, a third-party certification scheme to validate the accuracy and functionality of BIM objects (BSI, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%