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Record W3176218600 · doi:10.1080/09571264.2021.1971642

Market-oriented activities and communal wine consumption events: does coopetition make a difference?

2021· article· en· W3176218600 on OpenAlex
James M. Crick, Dave Crick

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

VenueJournal of Wine Research · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCoopetitionWineBusinessMarketingCompetitor analysisConsumption (sociology)Market orientationMarket segmentationEconomicsGame theorySociology

Abstract

fetched live from OpenAlex

Earlier work has indicated that communal wine consumption events (e.g. wine tourism) are driven through employing a market orientation, namely, the firm-wide implementation of the marketing concept. Although market-oriented activities are intended to create value for customers, many vineyards and wineries are small and lack the resources and capabilities that are needed to achieve these outcomes. Consequently, there could be merits in owner-managers employing a collaborative (rather than individualistic) business model to overcome their limited tangible and intangible assets. In practice, this could be undertaken via cooperating with their competitors (coopetition) to help them to host or participate in communal wine consumption events. Therefore, grounded in resource-based theory, this current investigation reviews the literature surrounding these issues (focusing on the wine industry) to develop a conceptual framework examining the relationship between market-oriented activities and communal wine consumption events under the moderating role of coopetition. This provides the wider alcohol-focused community of scholars with new evidence on how a market orientation can be enhanced by wine producers collaborating with rival businesses to create positive experiences for their chosen customer segments. This includes drawing upon ‘best practices’ from several wine-producing nations about how decision-makers can navigate these organisation-wide activities.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.321
Teacher spread0.268 · 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