Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 745

The DOI matches its Crossref record.

Multi-Technology Corporations: Why They Have “Distributed” Rather Than “Distinctive Core” Competencies

Open access
Granstrand, Ove, Patel, Parl, Pavitt, Keith·1997·California Management Review

Abstract

Technological diversity in corporations is a driving force behind four major features of contemporary business: corporate growth; increasing R&D investment; increasing external linkage for new technologies by various means and opportunities to engage in technology-related new businesses. Corporate technological competencies are dispersed over a wider range of sectors than their production activities, and this range is increasing. Technologies are not the same as products arid must be dealt with differently. Increases in technological diversity in both companies and products challenge conventional wisdom and a number of widely accepted management concepts. This article challenges four of these notions: first, that for every company there exists a narrow set of core technological competencies on which the company should focus; second, that major new innovations are often associated with major "competence destruction;" third, that companies should not only downsize but disintegrate and out-source technological competencies just like production; and fourth, that companies should focus or specialize on a narrow set of core businesses. These notions do contain some truth, and they do apply in sonic companies in some periods of their life. However, as with any simple concept, they can be dangerous when carried to extremes

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 · 10.2307/41165908

Cites

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

Cited by

See all 745

Metadata

Authors
Granstrand, O., Patel, P., & Pavitt, K.
Venue
California Management Review
Published
1997-07
Volume
39
Issue
4
Pages
8-25
ISSN
  • 0008-1256 (ISSN-L)
  • 2162-8564
OpenAlex
W2037196671
Cited by
745
References
0
FWCI
71.13
Type
journal article
Language
en
Open access
green

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Multi-Technology Corporations: Why They Have “Distributed” Rather Than “Distinctive Core” Competencies. https://app.cochat.ai/papers/10.2307/41165908
The paper
Granstrand, O., Patel, P., & Pavitt, K. (1997). Multi-Technology Corporations: Why They Have “Distributed” Rather Than “Distinctive Core” Competencies. California Management Review. https://doi.org/10.2307/41165908

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.