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Data · dataset · 2026

Assessing perceptions of digital banking: Evidence from adopters and non-adopters in northern Thailand

Listed in Teesside University Research Data Repository

This dataset accompanies the study "Assessing Perceptions of Digital Banking: Evidence from Adopters and Non-adopters in Northern Thailand." It includes survey data from 426 smallholder households in Mae Hong Son Province, collected in March 2024.

Description

The study examines digital banking perceptions between adopters (n = 128) and non-adopters (n = 298), analyzing their perceived benefits and barriers. The data are structured around the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and key socioeconomic factors.

Benefits for adopters include convenience, cost savings, market access, financial services access, and knowledge access, while barriers for non-adopters include digital illiteracy, low transaction needs, fear of fraud, unstable Internet, and unaffordability. Multivariate probit (MVP) models are used to analyze these relationships. This repository includes six files: *Data file_adopter: description of the variables for adopter model *Data file_nonadopter: description of the variables for non-adopter model

Read the rest (1 more)
  • Dataset_adopter: data for adopters (n = 128).
  • Dataset_nonadopter: data for non-adopters (n = 298).
  • Do-file_adopter: Stata code for adopters' analysis.
  • Do-file_nonadopter: Stata code for non-adopters' analysis. All data are anonymized. The dataset supports replication of the study's analyses and can be used for research on digital banking, financial inclusion, rural development, and technology adoption.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Banking, finance and investment 75%
Provenance · 1 source records, 12 field assertions
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