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Record W1979518194 · doi:10.1108/jrme-01-2014-0002

Culture, conduct and innovation: a deconstruction of market orientation

2014· article· en· W1979518194 on OpenAlexaffabout
David C. Roach, Joel Ryman, Joshua V. White

Bibliographic record

VenueJournal of Research in Marketing and Entrepreneurship · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMarket orientationOperationalizationMarketingOriginalityCompetitive advantagePremiseContext (archaeology)BusinessValue (mathematics)Service (business)Organizational cultureSample (material)Industrial organizationEconomicsManagementCreativityPsychology

Abstract

fetched live from OpenAlex

Purpose – This purpose of this study is to deconstruct market orientation to explore how culture interrelates with conduct and value-creating innovation and its effect on performance. The authors suggest that market orientation is an organizational identity that can be built and managed for sustained competitive advantage. Design/methodology/approach – The authors use a split sample of 553 Canadian small- and medium-sized enterprises (SMEs) in both the manufacturing and technical service sectors. Hierarchical moderated regression analysis is used to test the main hypothesis that culture moderates the relationship between conduct and innovation. Support for the respective hypotheses is determined by the statistical significance of each focal variable. Findings – The study finds that culture does in fact moderate the relationship between conduct and innovation but only in service firms, not in manufacturing firms. Research limitations/implications – Theoretical implications include establishing support for the main premise of the paper, namely, that market-oriented culture interacts with the behavioral component of market orientation influencing the firm’s ability to create value through innovation. Practical implications – Managerial implications include the refinement of the many conceptualizations of the innovation construct by establishing innovation as value-creating. It also provides insight on how firm culture relates to the systems and processes used to operationalize both a market and innovation conduct within the firm. Originality/value – This paper provides a unique insight into the marketing/innovation interface, specifically in the context of SMEs.

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)0.011
metaresearch head score (Gemma)0.003
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 score0.136
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.077
GPT teacher head0.345
Teacher spread0.269 · 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

Citations22
Published2014
Admission routes2
Has abstractyes

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