Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Technological Diversification, Coherence, and Performance of Firms

Open access
Leten, Bart, Belderbos, Rene, Van Looy, Bart·2007·Journal of Product Innovation Management

Abstract

Technological diversification at the firm level (i.e., the expansion of a firm's technology base into a wide range of technology fields) is found to be a prevailing phenomenon in all three major industrialized regions,—the United States, Europe, and Japan—prompting the term multitechnology corporation. Whereas previous studies have provided insights into the composition of technology portfolios of multitechnology firms, little is known about the relationship between technological diversification and firms' technological performance. Against a backdrop of the technology and innovation management literature, the present article investigates the relationship between technological diversification and technological performance, taking into account the moderating role of technological coherence in firms' technology portfolios. Hereby, technological coherence is defined as the degree to which technologies in a technology portfolio are technologically related. To measure the technological coherence of portfolios, a measure of technological relatedness of technology fields is constructed based on patent citation patterns found in 450,000 European Patent Office (EPO) patent grants. Two hypotheses are presented here: (1) Technological diversification has an inverted U‐shaped relationship with technological performance; and (2) technological coherence moderates the relationship between technological diversification and technological performance positively. These hypotheses are tested empirically using a panel data set (1995–2003) on patent portfolios pertaining to 184 U.S., European, and Japanese firms. The firms selected are the largest research and development (R&D) actors in five industries: pharmaceuticals and biotechnology; chemicals; engineering and general machinery; information technology (IT) hardware (i.e., computers and communication equipment); and electronics and electrical machinery. Empirical results, obtained by fixed‐effects negative binomial regressions, support both hypotheses in the present article. Technological diversification has an inverted U‐shaped relationship with technological performance. Technological diversification offers opportunities for cross‐fertilization and technology fusion, but high levels of diversification may yield few marginal benefits as firms risk lacking sufficient levels of scale to benefit from wide‐ranging technological diversification, and firms may encounter high levels of coordination and integration costs. Further, the results show that the net benefits of technological diversification are higher in technologically coherent technology portfolios. If firms build up a technologically coherent diversified portfolio, the presence of sufficient levels of scale is ensured and coordination costs are limited. At the same time, technologically coherent diversification puts firms in a better position to benefit form cross‐fertilization between technologies. The present article clearly identifies the important role of technological coherence in technology diversification strategies of firms.

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 · 10.1111/j.1540-5885.2007.00272.x

Cites

44 of 44 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

Show all 44 references

Cited by

See all 346

Metadata

Authors
Leten, B., Belderbos, R., & Van Looy, B.
Venue
Journal of Product Innovation Management
Publisher
Wiley
Published
2007-10-10
Volume
24
Issue
6
Pages
567-579
ISSN
  • 0737-6782 (ISSN-L)
  • 1540-5885
OpenAlex
W3122120597
Cited by
346
References
44
FWCI
18.16
Type
journal article
Language
en
Open access
bronze

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: Technological Diversification, Coherence, and Performance of Firms. https://app.cochat.ai/papers/10.1111/j.1540-5885.2007.00272.x
The paper
Leten, B., Belderbos, R., & Van Looy, B. (2007). Technological Diversification, Coherence, and Performance of Firms. Journal of Product Innovation Management. https://doi.org/10.1111/j.1540-5885.2007.00272.x

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.