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Record W2740662835 · doi:10.5430/ijba.v8n5p57

Enhancing Customer Retention through Electronic Service Delivery Channels in the Nigerian Banking Industry

2017· article· en· W2740662835 on OpenAlexvenueno aff
A. P. Olannye, S. E. Dedekuma, E. H. Ndugbe

Bibliographic record

VenueInternational Journal of Business Administration · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessCustomer retentionService qualityMarketingService (business)Service delivery frameworkControl (management)Customer advocacySample (material)The InternetComputer science

Abstract

fetched live from OpenAlex

Successful customer retention consists of more than just giving the customer what they expect. Electronic service delivery channels have become a means through which banks achieve their objectives of business renewal and providing effective and efficient services. The main objective of this study is to examine the effect of electronic service delivery channels on customer retention in the Nigerian banking industry. The study made use of a sample of 235 employees from some selected banks in Asaba Metropolis in Delta State, Nigeria. Cross sectional survey research design method was adopted, and the statistical tools used comprised simple percentage, correlation and multiple regression analysis. Findings showed that point of sales service exhibited the relatively highest positive effect on customer retention. It was also revealed that online banking service, point of sales service and mobile banking have significant relationships with customer retention. The study concluded that the demand for POS technology seems currently high, however banks are now taping into this opportunity by making POS available at all times, so as to reduce queuing time in the bank and give customers convenience and control. It is therefore recommended that banks should collaborate with internet service providers because it will enable banks to better control quality of service as well as enhance user’s accessibility.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0010.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.300
Teacher spread0.258 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

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