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Record W1989058609 · doi:10.1108/10662240010349381

A relationship‐building model for the Web retail marketplace

2000· article· en· W1989058609 on OpenAlexaff
Fang Wang, Milena Head, Norm Archer

Bibliographic record

VenueInternet Research · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBusinessMarketingCustomer baseThe InternetDigital marketingElectronic businessBusiness modelAdvertisingWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Electronic commerce has existed in the business‐to‐business marketplace since the 1970s, in forms such as electronic data interchange (EDI) and electronic funds transfer (EFT). With the emergence of the Internet, and the World Wide Web in particular, electronic commerce entered a new era which opened the door for an electronic business‐to‐consumer marketplace. Although the retail side of electronic commerce is still in its infancy, the Web medium offers great potential for building the customer‐base, promoting sales, and improving after‐sales service. Examines the concept of relationship marketing, which has caused a paradigm shift in business‐to‐business marketing during recent years. Extends the concepts of network marketing to the Web retail marketplace, and develops a market process model for Web retailing that outlines the stages of the relationship building process.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0060.011
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0190.005

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 head0.177
GPT teacher head0.379
Teacher spread0.203 · 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 designTheoretical or conceptual
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

Citations129
Published2000
Admission routes1
Has abstractyes

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