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Record W2019954432 · doi:10.1108/13552551111107525

Personal characteristics and strategic orientation: entrepreneurs in Canadian manufacturing companies

2011· article· en· W2019954432 on OpenAlexaffabout
David Di Zhang, Edward R. Bruning

Bibliographic record

VenueInternational Journal of Entrepreneurial Behaviour & Research · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of ManitobaUniversity of Saskatchewan
Fundersnot available
KeywordsLocus of controlExtant taxonEndowmentBusinessMarketingEntrepreneurial orientationOriginalityModerated mediationControl (management)Market orientationResource (disambiguation)Strategic managementIndustrial organizationEntrepreneurshipEconomicsManagementPsychologyQualitative researchSociology

Abstract

fetched live from OpenAlex

Purpose Extant theories suggest that entrepreneurs' personal characteristics have substantial impacts on their firm's performance. From a resource‐based view, the paper considers an entrepreneur's personal characteristics to be a unique resource endowment to their firm. The paper seeks to discuss these issues. Design/methodology/approach Data were collected through a national survey of owners and senior managers of small‐ to medium‐sized Canadian manufacturing companies. Mediation relationships were tested with hierarchical regression analyses. Findings Consistent with the authors' hypotheses, it is found that entrepreneurs' personal characteristics, such as need for achievement, need for cognition, and internal locus of control, have positive influences on firm performance. Furthermore, it is demonstrated that their strategic orientations mediated these influences. The data indicate that entrepreneurs with higher levels of internal locus of control are more likely to adopt an entrepreneurial orientation than a market orientation. Originality/value This paper helps to better understand why entrepreneurs make different strategic decisions under seemingly similar competitive environments. The findings suggest that entrepreneurs do not simply react mechanically to external environmental changes. Instead, how they seek and interpret information and formulate organizational strategies is partially influenced by their personal characteristics. Entrepreneurs develop their own ways of utilizing the human capital that they bring to their firms.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

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

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 head0.094
GPT teacher head0.327
Teacher spread0.234 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations115
Published2011
Admission routes2
Has abstractyes

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