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Record W4389250563 · doi:10.37641/jimkes.v11i2.2104

MSME’s Financing Decisions and the Roles of Financial Literacy and Microbusiness Demographics

2023· article· en· W4389250563 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Ilmiah Manajemen Kesatuan · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsFinancial literacyBusinessDemographicsBusiness administrationAccountingFinanceSociologyDemography

Abstract

fetched live from OpenAlex

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the Indonesian economy, contributing 60.5% to the GDP, employing 96.9% of the workforce, and accounting for 15.69% of exports. However, MSMEs still face capital problems. Many of them struggle to access financial institutions due to their limited financial literacy. This research aims to identify the level of financial literacy among microbusinesses. The survey involved 60 respondents in the Cibinong District of Bogor Regency and analyzed how financial literacy levels and demographic factors influence microbusinesses’ decisions regarding the use of financing products from micro financial institutions (MFIs). The analytical method employed in this study is logistic regression. The research results indicate that financial attitudes, education, and income have a significant positive impact on financing decision from micro financial institutions, while financial knowledge and behavior have a significant negative impact. Keywords: MSME, MFI, financial literacy, demography, micro businesses ABSTRAK Usaha Mikro, Kecil dan Menengah (UMKM) memiliki peran penting dalam perekonomian Indonesia dengan kontribusi terhadap PDB 60,5%, penyerapan tenaga kerja 96,9%, dan ekspor 15,69%. Namun, UMKM masih menghadapi masalah permodalan. Banyak UMKM masih belum mampu mengakses lembaga keuangan karena literasi keuangannya yang rendah. Penelitian ini bertujuan mengidentifikasi tingkat literasi keuangan usaha mikro, dengan menyebarkan kuesioner kepada 60 responden di Kecamatan Cibinong, Kabupaten Bogor dan menganalisis pengaruh tingkat literasi serta faktor demografi terhadap keputusan usaha mikro dalam menggunakan produk pembiayaan di lembaga keuangan mikro (LKM). Metode analisis yang digunakan adalah regresi logistik. Hasil penelitian menunjukkan bahwa sikap keuangan, pendidikan, dan pendapatan berpengaruh signifikan positif terhadap pengambilan keputusan menggunakan produk pembiayaan lembaga keuangan mikro, sementara pengetahuan dan perilaku keuangan berpengaruh signifikan negatif. Kata kunci: UMKM, LKM, literasi keuangan, demografi, bisnis mikro

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.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.572
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.018
GPT teacher head0.280
Teacher spread0.261 · 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