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Record W2165089668 · doi:10.5539/ass.v8n1p73

Comparative Analysis of Customer Satisfaction on Islamic and Conventional Banks in Malaysia

2011· article· en· W2165089668 on OpenAlexvenueno aff
Norma Saad

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersInternational Islamic University Malaysia
KeywordsCustomer satisfactionBusinessIslamMarketingService qualityProduct (mathematics)Sample (material)Quality (philosophy)Order (exchange)Islamic bankingService (business)Customer retentionFinance

Abstract

fetched live from OpenAlex

Customer satisfaction is critically important for banks to stay competitive as the customer is the ultimate source of income for any organization. Islamic banking system and conventional banking system are considered as rival systems working in the same banking industry. In order for Islamic banks to compete successfully with conventional banks, Islamic banks must give extremely high consideration to their primary customers. Whenever either Islamic banks or conventional banks offer any product or service, its success depends upon the customer satisfaction towards that product or service. This study examines the level of customer satisfaction on Islamic banks as well as conventional banks in Malaysia. It also investigates the relationship between different demographic variables and the satisfaction of customers. A sample of 1,153 respondents from various cities representing different states in Malaysia was selected. The results in this study suggest that customers are mostly satisfied with the quality of services which include competency, friendliness, and efficiency of the staff of the Islamic and conventional banks.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.264
Teacher spread0.241 · 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.

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

Citations24
Published2011
Admission routes1
Has abstractyes

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