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Record W2110924889 · doi:10.5539/ass.v10n23p255

Consumer Loyalty as a Factor of Establishing the Competitive Advantages in a Company under the Market Conditions

2014· article· en· W2110924889 on OpenAlex
Alina V. Chesnokova, Оксана Ивановна Радина, Regina I. Serdyuk

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCultural, Linguistic, Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessMarketingCompetitor analysisLoyalty business modelLoyaltyProfitability indexProfit (economics)Competitive advantageProduct (mathematics)Quality (philosophy)Order (exchange)Market shareAdvertisingService (business)Service qualityEconomics

Abstract

fetched live from OpenAlex

The objective of the work is the theoretical rationale for the ratio of the customer loyalty to a number of the major factors of establishing the competitive advantages of a company and developing the practical guidelines for managing the consumer loyalty. As a result of the study it has been found, that the consumer loyalty determines their commitment to the company and its products, which is developed while building the relationships between the company and its consumers through the relationship marketing. There are four major factors of establishing the competitive advantages of a company under the market conditions: product quality, service quality, product price and consumer loyalty. In this study the following guidelines are suggested to companies in order to ensure consumer loyalty: impress the consumers, ensure consistently high quality of goods and services, earn confidence of the consumers, hear the consumers' criticism, build your own distribution network and surprise them with understanding. While managing the consumer loyalty companies not only draw new consumers, entice consumers away from the rival companies, but also retain its customers. While retaining the consumers companies get a double advantage, as: the process of retaining consumers is less complicated and costly, than the process of drawing and particularly enticing the consumers away from the competitors; the consumers, who are loyal to the company for a long period of time, regularly buy its products, ensuring the stability of its sales, profit and profitability.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.007
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 head0.025
GPT teacher head0.337
Teacher spread0.312 · 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