Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,117

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Types of Information Technology Capabilities and Their Role in Competitive Advantage: An Empirical Study

BHATT, GANESH D., GROVER, VARUN·2005·Journal of Management Information Systems

Abstract

During the past two decades, both business managers and academic researchers have shown considerable interest in understanding how information technologies (IT) help to create competitive advantage for a firm. While recently the idea of competitive differentiation through IT has been challenged, this study contrasts the traditional thinking about competitive advantage with the resource-based view. Specifically, it is argued that by demarcating specific types of capabilities, we can contribute to better understanding of the sources of IT-based competitive advantage. Conceptually, we distinguish here between value, competitive, and dynamic capabilities as three distinct types of capabilities. Within each type, we identify specific capabilities, such as quality of the IT infrastructure, IT business experience, relationship infrastructure, and intensity of organizational learning, and present a model that describes relationships between these capabilities and competitive advantage. We then empirically test the model using data collected via a national mail survey from chief IT executives from 202 manufacturing firms. While the quality of the IT infrastructure is hypothesized as a value capability and expectedly did not have any significant effect on competitive advantage, the quality of IT business expertise and the relationship infrastructure (competitive capabilities) did. The results of the study also indicate that the intensity of organizational learning (dynamic capability) was significantly related to all of the capabilities. These results point to the importance of delineating capabilities such as relationship infrastructure that can facilitate differentiation in the marketplace, and dynamic capabilities such as organizational learning as an important antecedent to IT capability building.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/07421222.2005.11045844

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 1,117

Metadata

Authors
BHATT, G. D., & GROVER, V.
Venue
Journal of Management Information Systems
Published
2005-11
Volume
22
Issue
2
Pages
253-277
ISSN
  • 0742-1222 (ISSN-L)
  • 1557-928X
OpenAlex
W2099941344
Cited by
1,117
References
6
FWCI
36.79
Type
journal article
Language
en
Open access
closed

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.