{"title":"How do self-motivation and social motivation contribute to consumers’ acceptance of m-health services?","authors":"Da Tao , Kaifeng Liu","doi":"10.1016/j.hlpt.2024.100878","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>The study aimed to propose a unified model integrating the technology acceptance model (TAM), social-determination theory (SDT), and social motivation to examine the roles of self-motivation (i.e., autonomy, relatedness, and competency) and social motivation (i.e., social influence and social recognition) in consumer acceptance of m-health services. In addition, the study aimed to explore whether relationships among the antecedent factors and consumer acceptance of m-health services would be moderated by consumers’ demographic characteristics.</p></div><div><h3>Methods</h3><p>Partial least squares structural equation modelling (PLS-SEM) approach was used to test the proposed model with data from 614 Chinese m-health users. Multi-group analyses were performed to examine whether the results were different or equivalent across demographic backgrounds.</p></div><div><h3>Results</h3><p>Usage behavior was significantly influenced by behavioral intention. While self-motivations mostly exerted impacts on behavioral intention through the mediating roles of perceived usefulness and perceived ease of use, social motivations affected behavioral intention both directly and indirectly through the mediating roles of perceived usefulness. In addition, most of the hypothesized relations remained unchanged across gender, age, and usage experience.</p></div><div><h3>Conclusions</h3><p>This study reveals the important roles of varied self- and social motivations in developing consumer acceptance of m-health services. To facilitate consumers’ acceptance, m-health services should be designed to meet consumers’ internal requirements on autonomy and relatedness and earn recognition from social perspectives. The findings provide insights into the design and implementation of m-health services in support of consumer acceptance across different demographic backgrounds.</p></div><div><h3>Public interest summary</h3><p>M-health has long been considered as a promising tool to support individuals’ health care activities and achieve improved efficiency and quality in the delivery of health care services. However, the introduction of m-health to consumers has proven difficult, and wide acceptance has not been achieved. We conducted a field survey of 614 Chinese m-health users to identify the roles of self-motivation and social motivation in consumers’ acceptance of m-health services. We found that self-motivation can exert impacts on consumers’ acceptance through the mediating roles of perceived usefulness and perceived ease of use, while social motivation affected acceptance both directly and indirectly through the mediating roles of perceived usefulness. In addition, these effects mostly remained unchanged across consumers’ gender, age, and usage experience. Based on our findings, we propose implications to design and implement m-health services in support of consumer acceptance across different demographic backgrounds.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"13 3","pages":"Article 100878"},"PeriodicalIF":3.4000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883724000418","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
The study aimed to propose a unified model integrating the technology acceptance model (TAM), social-determination theory (SDT), and social motivation to examine the roles of self-motivation (i.e., autonomy, relatedness, and competency) and social motivation (i.e., social influence and social recognition) in consumer acceptance of m-health services. In addition, the study aimed to explore whether relationships among the antecedent factors and consumer acceptance of m-health services would be moderated by consumers’ demographic characteristics.
Methods
Partial least squares structural equation modelling (PLS-SEM) approach was used to test the proposed model with data from 614 Chinese m-health users. Multi-group analyses were performed to examine whether the results were different or equivalent across demographic backgrounds.
Results
Usage behavior was significantly influenced by behavioral intention. While self-motivations mostly exerted impacts on behavioral intention through the mediating roles of perceived usefulness and perceived ease of use, social motivations affected behavioral intention both directly and indirectly through the mediating roles of perceived usefulness. In addition, most of the hypothesized relations remained unchanged across gender, age, and usage experience.
Conclusions
This study reveals the important roles of varied self- and social motivations in developing consumer acceptance of m-health services. To facilitate consumers’ acceptance, m-health services should be designed to meet consumers’ internal requirements on autonomy and relatedness and earn recognition from social perspectives. The findings provide insights into the design and implementation of m-health services in support of consumer acceptance across different demographic backgrounds.
Public interest summary
M-health has long been considered as a promising tool to support individuals’ health care activities and achieve improved efficiency and quality in the delivery of health care services. However, the introduction of m-health to consumers has proven difficult, and wide acceptance has not been achieved. We conducted a field survey of 614 Chinese m-health users to identify the roles of self-motivation and social motivation in consumers’ acceptance of m-health services. We found that self-motivation can exert impacts on consumers’ acceptance through the mediating roles of perceived usefulness and perceived ease of use, while social motivation affected acceptance both directly and indirectly through the mediating roles of perceived usefulness. In addition, these effects mostly remained unchanged across consumers’ gender, age, and usage experience. Based on our findings, we propose implications to design and implement m-health services in support of consumer acceptance across different demographic backgrounds.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics