MétaCan
Menu
Back to cohort
Record W2336879902 · doi:10.1108/ejim-12-2014-0119

Effectuation, innovation and performance in SMEs: an empirical study

2016· article· en· W2336879902 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Innovation Management · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsDalhousie University
Fundersnot available
KeywordsLeverage (statistics)Product innovationService innovationBusinessExplicationStructural equation modelingNew product developmentIndustrial organizationSample (material)Product (mathematics)Service (business)MarketingScale (ratio)Construct (python library)Entrepreneurial orientationComputer scienceEntrepreneurship

Abstract

fetched live from OpenAlex

Purpose – Ever since Sarasvathy’s (2001) seminal article, scholars have sought to test effectuation’s affect on firm performance. Although recent work has begun the arduous process of testing effectuation’s effect on entrepreneurial performance, there is still much to learn about its impact on firm performance. One such area is the relationship between effectuation and innovation. The purpose of this paper is to first, propose a scale suitable to the explication of the effectuation construct relative to innovation. Second, it proposes a more parsimonious scale for the measurement of innovation. Third, these scales are tested relative to firm performance. Design/methodology/approach – This paper develops and tests a structural model, which investigates aspects of effectuation as mediators between innovation orientation and product/service innovation. This is accomplished using a sample of 169 electronic product manufacturing-based small and medium-sized enterprises (SMEs). Subjective measures of performance are used as the dependent variable. Findings – The three most widely used measures of innovativeness were found to break cleanly into two sub-constructs, namely innovation orientation and product/service innovation. Effectuation measures included means (who I know), leverage contingencies (experimentation), pre-commitments and affordable loss. Means and leverage contingencies were found to positively mediate innovation orientation and product/service innovation leading to increased firm performance. Affordable loss did not show a mediating role, but had a direct effect on firm performance. Research limitations/implications – This study establishes two distinct sub-constructs of firm-level innovation; namely innovation orientation and product/service innovation. Second, by testing an innovation-centric effectuation model, this research establishes an empirical relationship between effectuation, innovation and firm performance. Practical implications – Practical implications include establishing a relationship between means, leverage contingencies and innovation-performance, indicating that the ways through which small and medium-sized enterprises use their innovation networks may affect innovation outcomes and ultimately firm performance. Originality/value – This research establishes an empirical relationship between effectuation, innovation and firm performance, extending effectuation theory from the entrepreneurship to the innovation literature.

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.

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)0.003
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 score0.169
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.276
Teacher spread0.242 · 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