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Cited by 203

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Measuring Firm Performance at the Network Level: A Nomology of the Business Impact of Digital Supply Networks

STRAUB, DETMAR, RAI, ARUN, KLEIN, RICHARD·2004·Journal of Management Information Systems

Abstract

For decades, information technology has been posited to have a major impact on firm performance. Investigations into this line of inquiry have almost always used constructs related to individual firm performance as their dependent measures, an approach that made sense under historical economic conditions. In recent years, however, value chains are giving way to digital supply networks with electronic interactions between tiers in the flow of goods and services. Such an environment makes it imperative to develop sophisticated measures of the performance of entire networks of firms, as opposed to individual firm performance. Using game-theoretic concepts, this paper explores several dimensions of networked organizational performance as a construct, as a set of measures, and as a construct within a nomology. It describes a program of research in which some empirical validation has already been completed and other work is now underway. We first validate measures for a dyadic view of network performance, followed by an n-firm perspective.

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Metadata

Authors
STRAUB, D., RAI, A., & KLEIN, R.
Venue
Journal of Management Information Systems
Published
2004-07-01
Volume
21
Issue
1
Pages
83-114
ISSN
  • 0742-1222 (ISSN-L)
  • 1557-928X
OpenAlex
W2615597019
Cited by
203
References
7
FWCI
21.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring Firm Performance at the Network Level: A Nomology of the Business Impact of Digital Supply Networks. https://app.cochat.ai/papers/10.1080/07421222.2004.11045790
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STRAUB, D., RAI, A., & KLEIN, R. (2004). Measuring Firm Performance at the Network Level: A Nomology of the Business Impact of Digital Supply Networks. Journal of Management Information Systems. https://doi.org/10.1080/07421222.2004.11045790

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.