The Moderating effect of Digital and Financial Literacy on the Digital Financial Services and Financial Behavior of MSMEs
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.
Bibliographic record
Abstract
The rapid advancement of technology has become an integral part of society. Improved financial technology accelerates and plays a critical role in MSMEs' savings, financing, and investment. The efficient flow of funds from these sectors is vital to the growth and development of the economy. However, despite their benefits, digital finance and financial inclusion have not sufficiently permeated large segments of the population, indicating a gap between the availability, accessibility, and utilization of finance. Despite the benefits of digital financial services, there is a large disparity in one area that is gaining momentum, particularly in financial inclusion and digital finance. These barriers can impede an individual's ability to save, gain access to capital, and invest. The purpose of the study is to determine the extent to which digital financial services impact the savings, financing, and investing behavior of micro, small, and medium-sized enterprise (MSMEs) owners. The study explored a causal research design with moderation analysis to determine the impact of digital financial services and digital and financial literacy on the savings, borrowing, and investing behavior of MSME owners in the Philippines. The result of the study revealed that digital financial services do not stimulate savings, borrowing, and investing of the owners, however, digital and financial literacy significantly influence the financial behavior of the owners. The result of the study adds additional evidence to the existing literature highlighting the role of digital and financial literacy in enhancing the impact of digital financial services on the financial behavior of MSME owners.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it