Ability first or opportunity first in the m-health era? A hybrid SEM-ANN approach

Ping Li
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Abstract

Purpose The purpose of this study is to propose and test a model to explain users’ intention to adopt m-health devices and divide the importance of antecedents for users to adopt m-health devices based on the stimulus-organism-response (S-O-R) framework. Design/methodology/approach This research conducted an online survey with m-health app users and collected 562 valid responses. A hybrid SEM-ANN approach was employed to evaluate the research model and hypotheses. Findings The results show that motivation (M), opportunity (O), and ability (A) affect users’ flow experience and loyalty and further affect their adoption intention of m-health technology. Opportunity plays a more critical role in m-health adoption intention than ability. Originality/value This study comprehensively examined the factors that affect users’ deep engagement and m-health adoption from the perspective of MOA. It used the hybrid SEM-ANN method to divide the critical role of motivation, opportunity and ability, providing a new analysis approach for studying information technology (IT) behavior.
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移动医疗时代,能力优先还是机会优先?一种混合SEM-ANN方法
本研究的目的是基于刺激-有机体-反应(S-O-R)框架,提出并检验一个模型来解释用户采用移动医疗设备的意向,并划分用户采用移动医疗设备的前因的重要性。设计/方法/方法本研究对移动健康应用程序用户进行了在线调查,收集了562份有效回复。采用SEM-ANN混合方法对研究模型和假设进行评估。研究结果表明,动机(M)、机会(O)和能力(A)影响用户的流动体验和忠诚度,进而影响用户对移动健康技术的采用意愿。机会对移动医疗采用意愿的影响比能力更大。原创性/价值本研究从MOA的角度全面考察了影响用户深度参与和移动健康采用的因素。采用SEM-ANN混合方法对动机、机会和能力的关键作用进行了划分,为研究信息技术行为提供了一种新的分析方法。
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来源期刊
Aslib Proceedings
Aslib Proceedings 工程技术-计算机:信息系统
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>12 weeks
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