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Record W2193285558 · doi:10.1111/caim.12156

The Role of Non‐Technological Innovations in Services: The Case of Food Retailing

2015· article· en· W2193285558 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

VenueCreativity and Innovation Management · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsYork University
Fundersnot available
KeywordsBusinessMarketingCore productProduct (mathematics)Service (business)Database transactionProduct innovationCore (optical fiber)Industrial organizationGoods and servicesCommerceTransaction costObject (grammar)Focus (optics)EconomicsMarket economy

Abstract

fetched live from OpenAlex

A growing proportion of innovation, especially in consumer‐based industries, is linked to both aesthetic and symbolic components, yet there is still wide uncertainty as to how consumers respond to the design of products and whether their product choices are consistent across product categories. We draw attention to instances whereby less technology‐intensive initiatives can convey innovation in services industries. The focus is on the case of Eataly, a food retailer in which, it is argued, non‐technological innovations have shaped the firm's core values and triggered consumer interest towards a supermarket where, besides physical goods, experience has become the object of transaction. By emphasizing the importance for retailers of focusing not only on single products, but also on other dimensions of the firm's organization, we intend to contribute to the literature that explores changing facets of innovation in service industries.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.048
GPT teacher head0.274
Teacher spread0.226 · 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