Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological Analysis

ABSTRACT Background Family caregiving, particularly among females in Bangladesh, is a crucial yet understudied area, especially in terms of internet‐based service adoption. Female caregivers face distinct sociocultural and economic challenges that influence their ability to utilize digital services....

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Main Authors: Mohammad Ishtiaque Rahman, Jahangir Alam, Khadija Khanom, Forhan Bin Emdad
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Health Science Reports
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Online Access:https://doi.org/10.1002/hsr2.70665
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author Mohammad Ishtiaque Rahman
Jahangir Alam
Khadija Khanom
Forhan Bin Emdad
author_facet Mohammad Ishtiaque Rahman
Jahangir Alam
Khadija Khanom
Forhan Bin Emdad
author_sort Mohammad Ishtiaque Rahman
collection DOAJ
description ABSTRACT Background Family caregiving, particularly among females in Bangladesh, is a crucial yet understudied area, especially in terms of internet‐based service adoption. Female caregivers face distinct sociocultural and economic challenges that influence their ability to utilize digital services. This study investigates the key factors affecting the adoption of internet‐based services among female family caregivers in Bangladesh, addressing a gap in the literature by examining the intersection of gender, caregiving, and technology use. Objective The study aims to empirically analyze the social, environmental, and economic factors influencing internet‐based service adoption among female family caregivers in Bangladesh. Methods A systematic narrative review was conducted to identify relevant individual factors influencing internet‐based service adoption among female caregivers in Bangladesh. This review informed the selection of predictor variables for the quantitative survey. The survey was administered to 392 female caregivers using purposive sampling. Data analysis employed advanced machine learning models, including Random Forest, Logistic Regression, Gradient Boosting, and Support Vector Regression. The models were evaluated using performance metrics such as precision, recall, F1‐score, and accuracy. Additionally, the feature importance of the best‐performing model was assessed using permutation importance and Shapley Additive Explanations (SHAP) analysis. Results The findings indicate that social influences, perceived usefulness, and family support significantly impact the adoption of internet‐based services. Higher internet literacy, accessibility, and favorable government policies were associated with increased adoption. Economic factors such as household income and affordability of services also played a crucial role. SHAP analysis revealed that social networks, service reliability, and cost‐effectiveness were the most influential factors driving adoption. Younger caregivers and those in urban areas demonstrated higher adoption rates due to better digital literacy and infrastructure. Conclusion This study highlights the complex interplay of socioeconomic and environmental factors in shaping internet service usage among female caregivers in Bangladesh. The findings emphasize the need for policies promoting digital literacy, service affordability, and infrastructure development to support caregivers' access to essential online services.
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spelling doaj-art-422aacdeb1014f68bec170aca8dbccec2025-08-20T01:48:34ZengWileyHealth Science Reports2398-88352025-04-0184n/an/a10.1002/hsr2.70665Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological AnalysisMohammad Ishtiaque Rahman0Jahangir Alam1Khadija Khanom2Forhan Bin Emdad3Department of Computer Information Systems Thomas More University Crestview Hills Kentucky USADepartment of Management Information Systems University of Dhaka Dhaka BangladeshDepartment of Business and Technology Management Islami University of Technology Gazipur BangladeshSchool of Information Florida State University Tallahassee Florida USAABSTRACT Background Family caregiving, particularly among females in Bangladesh, is a crucial yet understudied area, especially in terms of internet‐based service adoption. Female caregivers face distinct sociocultural and economic challenges that influence their ability to utilize digital services. This study investigates the key factors affecting the adoption of internet‐based services among female family caregivers in Bangladesh, addressing a gap in the literature by examining the intersection of gender, caregiving, and technology use. Objective The study aims to empirically analyze the social, environmental, and economic factors influencing internet‐based service adoption among female family caregivers in Bangladesh. Methods A systematic narrative review was conducted to identify relevant individual factors influencing internet‐based service adoption among female caregivers in Bangladesh. This review informed the selection of predictor variables for the quantitative survey. The survey was administered to 392 female caregivers using purposive sampling. Data analysis employed advanced machine learning models, including Random Forest, Logistic Regression, Gradient Boosting, and Support Vector Regression. The models were evaluated using performance metrics such as precision, recall, F1‐score, and accuracy. Additionally, the feature importance of the best‐performing model was assessed using permutation importance and Shapley Additive Explanations (SHAP) analysis. Results The findings indicate that social influences, perceived usefulness, and family support significantly impact the adoption of internet‐based services. Higher internet literacy, accessibility, and favorable government policies were associated with increased adoption. Economic factors such as household income and affordability of services also played a crucial role. SHAP analysis revealed that social networks, service reliability, and cost‐effectiveness were the most influential factors driving adoption. Younger caregivers and those in urban areas demonstrated higher adoption rates due to better digital literacy and infrastructure. Conclusion This study highlights the complex interplay of socioeconomic and environmental factors in shaping internet service usage among female caregivers in Bangladesh. The findings emphasize the need for policies promoting digital literacy, service affordability, and infrastructure development to support caregivers' access to essential online services.https://doi.org/10.1002/hsr2.70665BangladeshFamily caregiversfemale caregiversinternet‐based servicesmachine learningsocial influences
spellingShingle Mohammad Ishtiaque Rahman
Jahangir Alam
Khadija Khanom
Forhan Bin Emdad
Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological Analysis
Health Science Reports
Bangladesh
Family caregivers
female caregivers
internet‐based services
machine learning
social influences
title Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological Analysis
title_full Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological Analysis
title_fullStr Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological Analysis
title_full_unstemmed Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological Analysis
title_short Social Determinants Influencing Internet‐Based Service Adoption Among Female Family Caregivers in Bangladesh: A Sociodemographic and Technological Analysis
title_sort social determinants influencing internet based service adoption among female family caregivers in bangladesh a sociodemographic and technological analysis
topic Bangladesh
Family caregivers
female caregivers
internet‐based services
machine learning
social influences
url https://doi.org/10.1002/hsr2.70665
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