{"title":"Applying the technology acceptance model to the introduction of mobile healthcare information systems","authors":"Mohammed-Issa Riad Mousa Jaradat, Z. Smadi","doi":"10.1504/IJBHR.2013.057363","DOIUrl":null,"url":null,"abstract":"This study presents an extended technology acceptance model (TAM) for exploring the factors that affect users’ intention to employ mobile healthcare information systems. This study aims at exploring the utilisation of mobile phones in healthcare environments and investigating the expectations and intentions regarding the implementation of mobile healthcare information systems in Jordan. Therefore, a questionnaire was designed using a Likert-scale method. The questionnaire was distributed through convenience sampling. The proposed model was empirically tested using data collected from a survey of 25 questions. Through this survey, 450 questionnaires were distributed and 366 ones were returned, or about (81.3%) were valid for analysis. The partial least squares (PLS) structural equation analysis (Ringle et al., 2005) was used to evaluate the causal model. The researchers find that the perceived ease of use has the most significant influence on the respondents’ behavioural intention to use mobile healthcare information systems. This study provides quantified indicators about mobile healthcare information systems and suggests a model that might help in understanding mobile healthcare information systems environment in Jordan.","PeriodicalId":90540,"journal":{"name":"International journal of behavioural & healthcare research","volume":"4 1","pages":"123"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJBHR.2013.057363","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of behavioural & healthcare research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJBHR.2013.057363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
This study presents an extended technology acceptance model (TAM) for exploring the factors that affect users’ intention to employ mobile healthcare information systems. This study aims at exploring the utilisation of mobile phones in healthcare environments and investigating the expectations and intentions regarding the implementation of mobile healthcare information systems in Jordan. Therefore, a questionnaire was designed using a Likert-scale method. The questionnaire was distributed through convenience sampling. The proposed model was empirically tested using data collected from a survey of 25 questions. Through this survey, 450 questionnaires were distributed and 366 ones were returned, or about (81.3%) were valid for analysis. The partial least squares (PLS) structural equation analysis (Ringle et al., 2005) was used to evaluate the causal model. The researchers find that the perceived ease of use has the most significant influence on the respondents’ behavioural intention to use mobile healthcare information systems. This study provides quantified indicators about mobile healthcare information systems and suggests a model that might help in understanding mobile healthcare information systems environment in Jordan.
本研究提出一个扩展的技术接受模型(TAM)来探索影响用户使用移动医疗信息系统意愿的因素。本研究旨在探索移动电话在医疗环境中的利用,并调查约旦移动医疗信息系统实施的期望和意图。因此,采用李克特量表法设计问卷。问卷采用方便抽样的方式发放。我们利用一项包含25个问题的调查收集的数据对提出的模型进行了实证检验。本次调查共发放问卷450份,回收问卷366份,有效分析问卷约占81.3%。使用偏最小二乘(PLS)结构方程分析(Ringle et al., 2005)来评估因果模型。研究人员发现,感知易用性对受访者使用移动医疗信息系统的行为意向有最显著的影响。本研究提供了关于移动医疗信息系统的量化指标,并提出了一个可能有助于了解约旦移动医疗信息系统环境的模型。