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Record W4213386423 · doi:10.17230/ad-minister.39.1

The influence of value co-creation on customer loyalty, behavioural intention, and customer satisfaction in emerging markets

2021· article· en· W4213386423 on OpenAlex

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

VenueAD-minister · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLoyaltyStructural equation modelingCustomer satisfactionBusinessValue (mathematics)Loyalty business modelCustomer valueConceptual modelAffect (linguistics)MarketingAdvertisingPsychologyComputer scienceService qualityEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

One of the current major trends in the media industry is customer value co-creation. User participation can significantly affect news media organisations. This study examines the impact of value co-creation on the loyalty, satisfaction, and behavioural tendencies of media consumers, using a survey of users of My Fars news platform. The conceptual model of this study is developed and tested by using survey data from 283 users of the news campaign in Fars News and Structural Equation Modelling (SEM) is employed to simultaneously test the hypothesized relationships. The results show that user participation in value co-creation significantly affects their satisfaction, loyalty, and behavioural tendencies.

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 score0.040
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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