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Record W3181709331 · doi:10.5267/j.msl.2021.6.002

A study on game consumer behavior

2021· article· en· W3181709331 on OpenAlexvenueno aff
Phuong Mai Nguyen, Luong Hoang Lien Nguyen

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsnot available
Fundersnot available
KeywordsAffect (linguistics)VietnameseConsumer behaviourVideo gameCustomer satisfactionMarketingEntertainmentBusinessAdvertisingPsychologyComputer scienceMultimedia

Abstract

fetched live from OpenAlex

In the world, the video game industry has really exploded until about 2000, and since then has achieved great strides, becoming one of the leading forms of the entertainment industry, at least in terms of revenue. The main purpose of this paper is to examine the consumer behavior in the case of video games with three objectives: identify the factors affecting customer satisfaction for video games; analyze these factors to understand how they affect consumer behavior and propose some recommendations to improve the customer satisfaction for video games. Data was collected from 205 Vietnamese gamers addressing the variables of individual, psychological, cultural, and social factors. Regression analysis found that all four factors positively affect consumer behavior, in terms of customer satisfaction, especially cultural factors. The findings of this research analyzed the theoretical foundations of the theory of behavior, based on which investigated the study of consumer behavior of video game services of players in Vietnam by market research, analyze data, thereby helping businesses understand the psychological response, consumer behavior of customers, and can devise appropriate strategies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.496

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 studies0.0010.001
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 head0.031
GPT teacher head0.327
Teacher spread0.295 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

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