MétaCan
Menu
Back to cohort
Record W3107695891 · doi:10.5539/ibr.v5n2p27

Strategic Groups Structure, Positioning of the Firm and Performance: A Review of Literature

2012· review· en· W3107695891 on OpenAlexvenueno aff
R Dornier, Noureddine Selmi, Thierry Delécolle

Bibliographic record

VenueInternational Business Research · 2012
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsNoticePremiseBusinessCognitionStrategic managementTheme (computing)Strategic planningMarketingIndustrial organizationPsychologyPolitical scienceComputer scienceEpistemology

Abstract

fetched live from OpenAlex

A central theme of the literature on strategic groups is that group membership affects performance. The basic premise of strategic groups and their main interest is in fact that performance can be attributed to strategic groups and not only to the idiosyncratic character of the individual firm. The aim of this paper is therefore to characterize and synthesize studies that examined the relationship between strategic groups, considered from the economic or cognitive perspectives, and performance. We notice that these studies have often yielded conflicting results. We will focus specifically on the relationship between the positioning of the firm, the strategic group and performance, a link that has hitherto been little studied in the literature. In other words, is there for the firm an optimal positioning in relation to strategic groups in its industry? The few empirical studies focusing on this relationship, emphasizing a cognitive approach, were able to show that firms moderately differentiated with respect to their belonging strategic group are more successful.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.834
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.375
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueInternational Business ResearchSame topicInnovation and Knowledge ManagementFrench-language works237,207