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Record W2143097016 · doi:10.5539/ibr.v3n2p131

Delivering Customer Value Based on Service Process: The Example of Tesco.com

2010· article· en· W2143097016 on OpenAlexvenueno aff
Yan Ma, Jianxun Ding, Wenxia Hong

Bibliographic record

VenueInternational Business Research · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsBusinessCustomer retentionCustomer advocacyMarketingCustomer to customerService (business)Customer valuePurchasingCustomer intelligenceValue (mathematics)Process (computing)Product (mathematics)Customer profitabilityService qualityComputer scienceEconomics

Abstract

fetched live from OpenAlex

A number of researches of customer value start in recent years, and the concept of customer value is increasingly used in management and marketing lately. Customer value is considered central to acquire competitive advantage and long-term success of the company. There are comparatively less researches on delivering customer value based on service process and lack of systematization as a whole about purchasing online. This article attempts to identify likely purchasers of a product by using evaluation shopping experience and service process in memory to make decision commonly. This study investigates how the retailing delivering customer value to attach new customers and retain previous customers. Through offering different service process for the customers, the company could deliver superior customer value. Here this article gathers information from sampling customers and analyses questionnaire which are handed out to customers in Tesco supermarket or in the shopping centre. The findings suggest that good service process and shopping experience have the same number of the customers in memory, and they can help many companies deliver superior customer value.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.078
GPT teacher head0.353
Teacher spread0.275 · 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.

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

Citations25
Published2010
Admission routes1
Has abstractyes

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