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Record W4405627994 · doi:10.12928/jombi.v2i1.935

The effect of perceived usefulness, perceived ease of use, and lifestyle on purchase intention

2024· article· en· W4405627994 on OpenAlex
Zainal Abidin

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 Management and Business Insight · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsAssociation of Universities and Colleges of Canada
Fundersnot available
KeywordsPsychologyUsabilitySocial psychologyAdvertisingBusinessComputer scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

Purpose-Advances in digital technology impact various business activities, such as digital marketing through e-commerce. Digital marketing through e-commerce can expand consumer reach while reducing business operating costs. In digital marketing, each seller will try to attract consumers to buy their products. Many factors certainly influence consumer intention to buy. Therefore, this study aims to determine the effect of perceived usefulness, perceived ease of use, and lifestyle on purchasing intentions in e-commerce users. Design/Methodology/Approach-This study's population consisted of all e-commerce users in Asia, and the sample obtained was 100 people selected based on specific criteria. The data was collected by distributing questionnaires online and measuring them using a Likert scale. The data obtained from respondents was then processed using SPSS software. Findings-Based on the test results, perceived usefulness, perceived ease of use, and lifestyle positively affect the purchase intention of e-commerce users. The perceived usefulness of this study has proven to be positive but insignificant to consumer purchase intentions. This means that perceived usefulness only partially encourages consumer buying intentions because other factors highly influence buying intentions, such as perceived ease of use, lifestyle, and other factors not examined in this study. Research limitations/implications-This research is limited in that the respondents' sample only represents e-commerce users in Asia, so the respondents' answers cannot represent all e-commerce users worldwide. In addition, e-commerce currently circulating is diverse, and this research has not discussed specific e-commerce users, so future research is expected to use specific e-commerce user respondents. Originality/value-Research on the factors that influence purchase intention through e-commerce in Asia still needs to be improved. This research discusses e-commerce users in the Asian region by considering the aspects of perceived usefulness, perceived ease of use, and lifestyle.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.056
GPT teacher head0.321
Teacher spread0.265 · 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