MétaCan
Menu
Back to cohort
Record W2149966006 · doi:10.5267/j.msl.2014.6.002

A study on examining interrelationships among customer satisfaction, loyalty, and switching intent in industrial food suppliers

2014· article· en· W2149966006 on OpenAlexvenueno aff
Hamid Reza Saeedniya, Somaye Abedini

Bibliographic record

VenueManagement Science Letters · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessLoyaltyMarketingCustomer satisfactionLoyalty business modelService qualityService (business)

Abstract

fetched live from OpenAlex

Brand loyalty is one of the most important concepts in brand literature.Customer's loyalty toward brand can increase firm's share price.In addition, firms' market share maintains close relationship with net profit and capital used return.Company efforts to motivate customers to switch from competitive brands to their own or to induce them to repurchase their own brands are very important in their marketing activities.Therefore, investigating customer varietyseeking orientation and level of involvement in decision-making plays essential role in explaining customers' product selection activities.This study intends to examine interrelationships among customer satisfaction, loyalty, and switching intent in industrial food suppliers and verifies the moderating effect of customer variety-seeking orientation and purchase decision involvement.The findings indicate that, the impact of purchase involvement was lower than variety seeking and the satisfaction had the highest negative impact on switching intent of customers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.259
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueManagement Science LettersSame topicCustomer Service Quality and LoyaltyFrench-language works237,207