Measuring the willingness to use artificial intelligence devices in healthcare services of an emerging economy: the case of Bangladesh

Purpose This study aims to determine the willingness to use artificial intelligence (AI) devices in healthcare services. The present study also measures the willingness to use AI health devices in an emerging nation based on gender, marital status and age groups. Design/methodology/approach An online self-administered survey questionnaire was used to collect data from the respondents. A total of 400 survey questionnaires were issued to the participants, resulting in 242 valid responses, indicating a response rate of 60.05%. After collecting data, descriptive analysis, independent samples t-tests and one-way ANOVA tests were performed using SPSS version 26. Findings This study’s findings indicate that male respondents are more willing to use AI devices during healthcare service transactions than female respondents. This study’s findings also indicate that respondents aged between 41 and 50 believe that using AI health devices will ensure more accuracy than a human being compared to other age groups (i.e. 18–30 years, 31–40 years and above 50 years). Practical implications The findings of this study provide useful and valuable insights for healthcare professionals and policymakers regarding the willingness to use AI health devices in an emerging country. Originality/value This study contributes to the understanding and implementation of AI devices in healthcare services. By examining the regulatory, infrastructural and educational challenges, this study provides a comprehensive overview of the prospects and challenges that need to be addressed for the effective integration of AI into healthcare.

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Publication Details

Journal
Journal of Science and Technology Policy Management
Published
2026-09-09
DOI
https://doi.org/10.1108/jstpm-08-2024-0320
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Measuring the willingness to use artificial intelligence devices in healthcare services of an emerging economy: the case of Bangladesh

Selim Ahmed, Dewan Mehrab Ashrafi, Ibrahim Alqasmi, Bablu Kumar Dhar et al.
Journal of Science and Technology Policy Management
Artificial Intelligence in Healthcare and Education
article

Measuring the willingness to use artificial intelligence devices in healthcare services of an emerging economy: the case of Bangladesh

Selim Ahmed, Dewan Mehrab Ashrafi, Ibrahim Alqasmi, Bablu Kumar Dhar, Tazrian Shahid
article en

Abstract

Purpose This study aims to determine the willingness to use artificial intelligence (AI) devices in healthcare services. The present study also measures the willingness to use AI health devices in an emerging nation based on gender, marital status and age groups. Design/methodology/approach An online self-administered survey questionnaire was used to collect data from the respondents. A total of 400 survey questionnaires were issued to the participants, resulting in 242 valid responses, indicating a response rate of 60.05%. After collecting data, descriptive analysis, independent samples t-tests and one-way ANOVA tests were performed using SPSS version 26. Findings This study’s findings indicate that male respondents are more willing to use AI devices during healthcare service transactions than female respondents. This study’s findings also indicate that respondents aged between 41 and 50 believe that using AI health devices will ensure more accuracy than a human being compared to other age groups (i.e. 18–30 years, 31–40 years and above 50 years). Practical implications The findings of this study provide useful and valuable insights for healthcare professionals and policymakers regarding the willingness to use AI health devices in an emerging country. Originality/value This study contributes to the understanding and implementation of AI devices in healthcare services. By examining the regulatory, infrastructural and educational challenges, this study provides a comprehensive overview of the prospects and challenges that need to be addressed for the effective integration of AI into healthcare.

Journal of Science and Technology Policy Management
Saudi Electronic University (SA), INTI International University (MY), Mahidol University (TH), University of Liberal Arts Bangladesh (BD), World University of Bangladesh (BD), United International University (BD), East West University (BD)
Gender equality
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
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