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Record W4382249015 · doi:10.1108/jstpm-10-2022-0170

Generation Y’s behavioural usage of small businesses’ retail websites: gender difference

2023· article· en· W4382249015 on OpenAlexaffabout
Allen Chong Guan Lim, Chai Lee Goi, Peter Dell, Mei Teh Goi

Bibliographic record

VenueJournal of Science and Technology Policy Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsExpectancy theoryHabitMarketingLoyaltyUnified theory of acceptance and use of technologyPsychologyThe InternetGeneration yPleasureBusinessService (business)Social mediaAdvertisingSocial psychologyComputer science

Abstract

fetched live from OpenAlex

Purpose To better understand continuities and changes in consumer behaviour, it is also important to examine the original antecedents of unified theory of acceptance and use of technology 2 (UTAUT2). Studying Generation Y is crucial for developing competitive online marketing strategies, as Generation Y plays a substantial role in online purchases. Therefore, this study aims to examine the actual use of small business websites based on the UTAUT2 among Generation Y. Design/methodology/approach A total of 375 valid questionnaires were collected via a systematic sampling among Generation Y in Canada. All participants in the study had at least a high school education, were internet and computer literate, and had purchased a good/service from the retail websites of Canadian small businesses. Findings The results show performance expectancy, hedonic motivation, social influence and habit have significant effects on behavioural intentions. The habit and behavioural intentions also have significant effects on actual usage of small businesses’ retail websites. Additionally, this study supported the significant difference between male and female UTAUT2 models. Practical implications The study examines how small retail businesses can attract and retain Generation Y customers by improving their website’s performance. Performance expectancy, hedonic motivation and social influence are significant factors in determining behavioral intention. Small businesses can enhance their website usability, design and content to increase customer satisfaction and loyalty. Hedonic motivation is crucial for Generation Y customers, who seek pleasure and excitement when visiting websites. Social influence is crucial for male customers, whereas performance expectancy, hedonic motivation and habit are more important for female customers. The study also suggests that Canadian governments should encourage online purchasing to increase the usage of small retail business websites. Originality/value This study provided few valuable insights into small businesses’ retail websites behavioural intentions and actual usage between males and females in Canada.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.663
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.099
GPT teacher head0.332
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2023
Admission routes2
Has abstractyes

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