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Record W2113761769 · doi:10.5539/ijef.v3n3p3

Licensed Lenders' Services to Indonesian SMEs: 'Mystery Shopping' Results

2011· article· en· W2113761769 on OpenAlexvenueno aff
Raymond J. Struyk, Samuel R. Haddaway

Bibliographic record

VenueInternational Journal of Economics and Finance · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersNutrition Obesity Research Center, University of North Carolina
KeywordsLoanCompetition (biology)BusinessIndonesianService (business)Scope (computer science)Product (mathematics)Financial servicesQuality (philosophy)FinanceMarketing

Abstract

fetched live from OpenAlex

Formal Indonesian lenders see small firms in particular as the main opportunity for expanding their financial services business. How does this translate into the experience of a small firm owner who applies for a loan? This question is addressed by 52 “mystery shopping” visits to 26 lenders in the Jakarta region. Three areas are investigated: service quality, competition and cross selling. The results show that service quality has significant room for improvement. While there is considerable scope for competition among lenders, with substantial variation across banks in terms of products offered and loan requirements, there is very little variation within a bank branch, i.e., most banks offered just one product to the customer. Very little cross-selling is done, indicating a real opportunity for improvements in service. Overall, the lack of proactive service by lenders places the burden of identifying superior financial products squarely with small firms.

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)0.003
metaresearch head score (Gemma)0.013
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 score0.017
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.022
GPT teacher head0.209
Teacher spread0.187 · 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
Published2011
Admission routes1
Has abstractyes

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