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Record W206908678 · doi:10.17705/1thci.00031

The Effect of Customer Service and Content Management on Online Retail Sales Performance: The Mediating Role of Customer Satisfaction

2011· article· en· W206908678 on OpenAlexafffund
Anteneh Ayanso, Kevin Lertwachara, Narongsak Thongpapanl

Bibliographic record

VenueAIS Transactions on Human-Computer Interaction · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBusinessCustomer retentionTicketCustomer advocacyMarketingCustomer satisfactionCustomer equityCustomer to customerRevenueCustomer intelligenceService (business)Service qualityComputer scienceFinance

Abstract

fetched live from OpenAlex

This paper analyzes the mediating role of customer satisfaction by studying the relationship between IT-enabled customer service and content management efforts and online sales performance. Using data on the top performing Web retailers in the U.S. based on their online annual sales, we show that the extent of retailers’ efforts in online customer service and content management is positively linked to customer satisfaction, which in turn is positively related to the retailers’ online sales performance. In addition to directly increasing the revenue, our results indicate that customer service and content management features can also indirectly improve the retailers’ financial performance. Specifically, customer service management impacts the sales performance via the average ticket amount, while content management affects the sales via the repeat visit.

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)0.007
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.124
GPT teacher head0.352
Teacher spread0.228 · 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

Citations11
Published2011
Admission routes2
Has abstractyes

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