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Record W388454161

Untangling Utilitarian and Hedonic Consumption Behaviors in Online Shopping

2012· article· en· W388454161 on OpenAlex
Eric T.K. Lim, Dianne Cyr, Chee‐Wee Tan

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

VenuePacific Asia Conference on Information Systems · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsConsumption (sociology)EmotiveMarketingOrder (exchange)PsychologyConsumer behaviourAppealEmpirical researchCognitionAdvertisingRationalityBusinessSociology
DOInot available

Abstract

fetched live from OpenAlex

Increasingly, researchers have come to acknowledge that consumption activities comprise both utilitarian and hedonic elements. Whereas utilitarian consumption accentuates the achievement of predetermined outcomes typical of cognitive customer behavior, its hedonic counterpart relates to affective customer behavior in dealing with the emotive and multi-sensory aspects of the consumption experience. While utilitarian consumption activities appeal to the rationality of customers in inducing their intellectual buy-in of the consumption experience, customers’ emotional buy-in can only be attained through hedonic consumption activities. The same can be said for online shopping. Because the online shopping environment is characterized by the existence of an IT-enabled web interface that acts as the focal point of contact between customers and vendors, its design should embed utilitarian and hedonic elements in order to create a holistic consumption experience. Drawing on the Expectation Disconfirmation Theory (EDT), this study advances a model that not only delineates between utilitarian and hedonic customer expectations for online shopping but also highlights how these expectations can be best served through design elements of e-commerce websites catering to functional and aesthetic performance respectively. The model is then empirically verified via an online survey administered on a sample of 303 student respondents. Theoretical contributions and pragmatic implications to be gleaned from our empirical findings are discussed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.058
GPT teacher head0.274
Teacher spread0.216 · 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