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Record W4411569204 · doi:10.3126/jbssr.v10i1.80313

The Effect of External CSR on Customer Loyalty in Nepalese Banking Sector: Mediating Roles of Reputation, Satisfaction, and Trust

2025· article· en· W4411569204 on OpenAlexaff
Ranjana Kumari Danuwar, Bal Ram Chapagain, Surendra Mahato, Udaya Raj Paudel

Bibliographic record

VenueJournal of Business and Social Sciences Research · 2025
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsBusinessLoyaltyReputationLoyalty business modelCustomer satisfactionMarketingBusiness administrationCorporate social responsibilityPublic relationsService qualityPolitical scienceService (business)

Abstract

fetched live from OpenAlex

Corporate Social Responsibility (CSR) is increasingly practised, with companies not only prioritizing profit growth but also contributing to society. Thus, this study examines the impact of external CSR on customer loyalty in Nepal’s banking sector, considering customer satisfaction, trust, and corporate reputation as mediating variables. This study uses explanatory research design, and data were collected from 403 bank’s customers in the Kathmandu Valley via Kobo Toolbox. Structural equation modelling (SEM) was applied to analyse relationships among the study variables. The results indicate that external CSR significantly enhances corporate reputation and customer satisfaction but has no direct impact on customer loyalty or trust. However, customer satisfaction positively influences trust. A key finding reveals that corporate reputation, customer satisfaction, and trust mediate the relationship between external CSR and customer loyalty. Additionally, awareness of CSR initiatives in the locality remains low. Respondents emphasised that banks shouldsupport local development by collaborating with municipalities to establish public amenities such as chautara (sitting areas), taps, and road maintenance. These insights help enhance customer loyalty and CSR effectiveness in Nepal’s banking sector.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.025
GPT teacher head0.343
Teacher spread0.318 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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