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Record W3111522454

The Service Quality and its Impact on Customer Satisfaction in Select Commercial Banks

2020· article· en· W3111522454 on OpenAlexvenueno aff
ya Nayak

Bibliographic record

VenueThe Journal of Internet Banking and Commerce · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsSERVQUALCustomer satisfactionService qualityBusinessProfitability indexMarketingQuality (philosophy)Loyalty business modelReliability (semiconductor)Sample (material)Service (business)Competitive advantageEmpathyComputer sciencePsychologyFinance
DOInot available

Abstract

fetched live from OpenAlex

Consumer all over the world has become more quality conscious; hence there has been increasing customer demand for the higher quality service (SERVQUAL). It is not an exception to Bankers to consider customer satisfaction and loyalty as important to market share maintenance and profitability. This study is of exploratory research whereby different aspects of SERVQUAL in the select commercial banks are studied with a sample size of both customers and bankers to get an indication of how far SERVQUAL is implemented with a aim to secure a competitive advantage. The concept of SERVQUAL is five important dimensions which include: (i) Reliability,(ii)Assurance,(iii) Tangibles, (iv) Empathy and (v) Responsiveness. In this study it was measured in terms of banking operations, transactions, and commercially developed so the SERVQUAL its impact on customer satisfaction in select commercial banks in Hyderabad city.

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)0.003
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 score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.049
GPT teacher head0.311
Teacher spread0.262 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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