MétaCan
Menu
Back to cohort
Record W786198868

Restaurant Daily Deals: Customers' Responses to Social Couponing

2011· article· en· W786198868 on OpenAlexfundno aff
Sheryl E. Kimes, Utpal M. Dholakia

Bibliographic record

VenueCornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsnot available
FundersMcGill University
KeywordsCouponCasualBusinessMarketingAdvertisingCannibalizationBalance (ability)Service (business)Value (mathematics)Finance
DOInot available

Abstract

fetched live from OpenAlex

A survey of 931 U.S. consumers finds that those who have purchased daily deals from a casual dining, fast-casual, or quick-service restaurant are not noticeably different in behavior or attitudes from those who have not done so. One difference in attitudes provides insight into those who purchase social coupons: they like to be “market mavens,” who stay on the cusp of market trend and price information. Those who purchased daily deals were significantly more likely to be younger, be married, and have a higher income than non-purchasers. On balance, the study indicated that the benefits of offering a social coupon seem to outweigh the disadvantages. Many of the potential concerns about offering a social coupon, including poor tipping, overwhelming the staff, and customer disloyalty, are not substantiated. There was some evidence of cannibalization, as 44 percent of those using a social coupon reported being frequent customers, but the coupons also brought back infrequent customers and attracted a substantial percentage of new customers. Most critically, many of the new and infrequent customers said they would return to the restaurant and pay regular prices, as well as recommend the restaurant to friends. New customers in particular would not have tried the restaurant without the daily deal offer. All customer groups said they considered the restaurant to be a good value, even without the discount offer.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.103
GPT teacher head0.289
Teacher spread0.186 · 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.

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

Citations20
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)Same topicPsychology of Social InfluenceFrench-language works237,207