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Record W2167735411 · doi:10.1016/j.intmar.2015.09.004

Connecting with and Converting Shoppers into Customers: Investigating the Role of Regulatory Fit in the Online Customer's Decision-making Process

2015· article· en· W2167735411 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

VenueJournal of Interactive Marketing · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsBrock University
Fundersnot available
KeywordsRegulatory focus theoryBusinessMarketingPromotion (chess)PreferenceAdvertisingCustomer engagementContext (archaeology)PsychologySocial psychologySocial mediaEconomicsComputer scienceMicroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Drawing on regulatory focus and regulatory fit theories, this study illustrates that, through the mechanism of engagement, promotion-focused (prevention-focused) shoppers who are faced with a website offering a more hedonic (utilitarian) shopping experience are more likely to both have a favorable attitude towards it and a higher intention to make a purchase. Moreover, by extending the goal compatibility principle to the online shopping context, this study shows that shoppers experiencing fit are able to sustain their regulatory orientation in subsequent decisions, resulting in a preference for products that emphasize the same regulatory goal. This study will help e-retailers increase sales by clarifying why, when, and to what extent they should offer hedonic versus utilitarian shopping experiences. In doing so, this study documents a new source of regulatory fit: a match between the hedonic or utilitarian online shopping experience and a shopper's promotion versus prevention regulatory orientation.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
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 integrity0.0000.000
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 head0.026
GPT teacher head0.300
Teacher spread0.275 · 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