Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,095

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

The Interorganizational Learning Dilemma: Collective Knowledge Development in Strategic Alliances

Larsson, Rikard, Bengtsson, Lars, Henriksson, Kristina, Sparks, Judith·1998·Organization Science

Abstract

Alliances are volatile key components of many corporations' competitive strategies. They offer fast and flexible means of achieving market access, scale economies, and competence development. However, strategic alliances can encounter difficulties that often lead to disappointing performance. The authors suggest that the way partners manage the collective learning process plays a central role in the success and failure of strategic alliances. Present understanding of interorganizational learning primarily focuses on how the individual organization can be a “good partner” or try to win the internal “race to learn” among the partners. The interorganizational learning dilemma is that (1) being a good partner invites exploitation by partners attempting to maximize their individual appropriation of the joint learning, and (2) such opportunistic learning strategies undercut the collective knowledge development in the strategic alliance. The authors develop a framework for understanding the dilemma through consideration of trade-offs between how collective learning is developed in alliances and how the joint learning outcomes are divided among the partners. They create a typology of five different learning strategies based on how receptive as well as how transparent an organization is in relation to its partners. The strategies are: collaboration (highly receptive and highly transparent); competition (highly receptive and nontransparent); compromise (moderately receptive and transparent); accommodation (nonreceptive and highly transparent); and avoidance (neither receptive nor transparent). Interorganizational learning outcomes are proposed to be the interactive results of the respective partners' type of adopted learning strategy. By synthesizing strategic alliance, organizational learning, collective action, and game theories, the framework contributes to understanding the variety in alliance development, performance, and longevity. Interorganizational learning is likely to be hindered by lack of either motivation or ability to absorb and communicate knowledge between the partner organizations. The dynamics of power, opportunism, suspicion, and asymmetric learning strategies can constitute processual barriers to collective knowledge development. In contrast, prior related interaction between the partners, high learning stakes, trust, and long-term orientation are likely to empower the collective learning process. Comparison of previous case studies and surveys of interorganizational learning provides partial empirical support for the proposed framework. The comparison also indicates several omissions in previous research, such as failure to consider either how receptive or how transparent the partners are, the interaction between their learning strategies, and their dynamic processes over time. Because these omissions are due partly to the methodological limitations of traditional case studies and crosssectional surveys, the authors suggest a bridging case survey design for a more comprehensive test of their interactive, dynamic, and situational framework.

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 · 10.1287/orsc.9.3.285

Cites

7 of 7 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 7 references

Cited by

See all 1,095

Metadata

Authors
Larsson, R., Bengtsson, L., Henriksson, K., & Sparks, J.
Venue
Organization Science
Published
1998-06
Volume
9
Issue
3
Pages
285-305
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2102532467
Cited by
1,095
References
7
FWCI
65.37
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

How to cite

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

This page
CoChat. (2026). Citation check: The Interorganizational Learning Dilemma: Collective Knowledge Development in Strategic Alliances. https://app.cochat.ai/papers/10.1287/orsc.9.3.285
The paper
Larsson, R., Bengtsson, L., Henriksson, K., & Sparks, J. (1998). The Interorganizational Learning Dilemma: Collective Knowledge Development in Strategic Alliances. Organization Science. https://doi.org/10.1287/orsc.9.3.285

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.