Cited by 107Quality and Supply ManagementCollaboration in agile enterprisesSupply Chain and Inventory Management

Investigating the impact of e‐business applications on supply chain collaboration in the German automotive industry

Wiengarten, Frank, Humphreys, Paul, McKittrick, Alan, Fynes, Brian·2013·International Journal of Operations & Production Management

Abstract

Purpose The internet and web‐based technologies have enabled the integration of information systems across organisational boundaries in ways that were hitherto impossible. The measurement of e‐business (EB) value has been traditionally considered as a single construct. However, the desire to develop a comprehensive understanding of the impact of EB applications from a theoretical perspective has resulted in the modelling of multiple EB constructs. The impact of EB enabled collaboration on operational performance was also investigated. The purpose of this paper is to explore the enabling role of multiple dimensions of EB investigating if all EB applications impact directly and positively on supply chain collaboration. Design/methodology/approach A web‐based survey was carried out to collect data within the German automotive industry. Structural equation modelling was conducted to test the measurement and structural model. Findings The results provide justification for the modelling of EB in multiple dimensions. Furthermore, some EB applications impacted positively on supply chain collaboration whilst some did not. The results also proved that EB enabled collaboration impacted directly and positively on the multiple dimensions of operational performance tested. Practical implications EB applications cannot be viewed by practising managers as being universally beneficial in improving collaboration across a buyer‐supplier boundary. However, the results reveal that, by carefully s…

Integrity signals

Registry

Crossref · 10.1108/01443571311288039

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • This explanatory power compares well with other eSCM studies.

    “This explanatory power compares well with other eSCM studies (See for example, Kauppi et al., 2013; Martínez-Caro and Cegarra-Navarro, 2009; Wiengarten et al., 2013).”

    From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Wiengarten et al., 2013

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wiengarten, F., Humphreys, P., McKittrick, A., & Fynes, B.
Affiliations
  • Esade (ES)
  • University of Ulster (GB)
  • University College Dublin (IE)
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
2013-01-04
Volume
33
Issue
1
Pages
25-48
ISSN
0144-3577 (ISSN-L)
OpenAlex
W2049634166
Cited by
107
References
2
Citations by year
2026: 1 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 6 · 2021: 8 · 2020: 8 · 2019: 5 · 2018: 11 · 2017: 11 · 2016: 8 · 2015: 19 · 2014: 8 · 2013: 6
FWCI
27.55
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Operations & Production Management (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Collaboration in agile enterprises
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Supply Chain and Inventory Management
Keywords
e-commerce, supply chain collaboration, buyer-supplier relationships, operational performance, automotive industry, German automotive industry, web technologies, information systems integration

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review