Applying the Technology Acceptance Model to the introduction of healthcare information systems

Pai, Fan-Yun; Huang, Kai I.

doi:10.1016/j.techfore.2010.11.007

Cited by 420 publications

(283 citation statements)

References 32 publications

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“…AVE values are all well above acceptable minimum value of 50 % (Fornell and Larcker 1981). A significant Bartlett's Test of Sphericity value (i.e., significance value is 0.05 or smaller) of the KMO measure justifies the use of factor analysis (Pai and Huang 2011). Both the constructs have been found to have significant KMO measure.…”

Section: Convergent Validitymentioning

confidence: 79%

Understanding Complexity: the Curvilinear Relationship Between Environmental Performance and Firm Performance

Ramanathan

2016

J Bus Ethics

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The nature of the relationship between environmental performance (EP) and firm performance (FP) of corporations is a long standing and contentious issue in the literature. This study is intended to advance this debate by arguing for the existence of curvilinear relationship and empirically testing the same using survey data on UK manufacturing firms. FP is captured in terms of growth in sales and market share. Our results show evidence for a quadratic relationship-as firms improve their EP, they seem to achieve much higher levels of FP. These results are consistent with the resource-based view of a firm; as firms engage in EP activities, they are able to gain inimitable knowledge that helps in further learning to further improve performance. Based on our results, we suggest that new studies focus on strategies to extend the period of increasing returns and maximizing the benefits of the positive association between EP and FP.

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Section: Convergent Validitymentioning

confidence: 79%

Understanding Complexity: the Curvilinear Relationship Between Environmental Performance and Firm Performance

Ramanathan

2016

J Bus Ethics

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“…System and content quality were also identified as significant predictors of e-government services acceptance (Tan, Benbasat, & Cenfetelli, 2013). Pai and Huang (2011) also integrated the IS success model and TAM, and information quality, service quality, and system quality were mediated by perceived usefulness and ease of use to influence behavioural intention of a healthcare system. In a study to measure the acceptance of an organisation intranet, results reported that the intranet usability, design, and information quality were significant factors of behavioural intention, albeit with lower significant levels than perceived usefulness and social influence factors (Barnes & Vidgen, 2012).…”

Section: Delone and Mclean Information System (Is) Success Modelmentioning

confidence: 99%

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Gan

Balakrishnan

2017

AJET

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The current study sets out to identify determinants affecting tertiary students' behavioural intentions to use mobile technology in lectures. The study emphasises that the reason for using mobile technology in classrooms with large numbers of students is to facilitate interactions among students and lecturers. The proposed conceptual framework has four main antecedents of behavioural intention: system perception, intrinsic motivation, system and information quality, and uncertainty avoidance. Sample data was collected from 396 tertiary students in Malaysia. Results from structural equation modelling on the sample indicated that behavioural intention was significantly influenced by system and information quality, followed by intrinsic motivation, and uncertainty avoidance. System perception was not significantly predictive of behavioural intention. The proposed framework explained 54% of the variance in behavioural intention of mobile technology use in lecture classes. The study findings are indicative of the importance of system development efforts to ensure overall quality system design. The findings further suggest that mobile technology may serve as a tool to facilitate interaction among students and lecturers in large lecture classes.

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“…Within the most recent research, four constructs, perceived ease of use (PEOU), perceived usefulness (PU), attitude (ATT), and behavioral intentions (BI), are identified as internal factors of user acceptance and usage behavior. Perceived usefulness (PU) can be defined as the degree to which a user of a technology expect that using a particular system would enhance his or her job performance, while perceived ease of use (PEOU) can be explained as the degree to which a user of a technology expect that using a particular system will not have to make any special effort [3,10,28,33]. According to Davis [25], behavioral intention is determined by the attitude toward the PU and PEOU.…”

Section: Technology Acceptance Modelmentioning

confidence: 99%

A Behavioral Model of Managerial Perspectives Regarding Technology Acceptance in Building Energy Management Systems

Chin

Lin

2016

Sustainability

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Abstract:The Building Energy Management System (BEMS), a well-known system that has been implemented in some energy corporations, has become attractive to many companies seeking to better monitor their energy consumption efficiency. This study investigated the external factors that influence acceptance of the BEMS from managerial perspectives. An extended model based on the Technology Acceptance Model (TAM) was created to evaluate the implementation of the BEMS in the manufacturing industries. A structural equation modeling (SEM) approach was used to analyze the model by adopting compatibility, features, technology complexity, and perceived risk as the external variables, and integrating the five dimensions of perceived ease of use, perceived usefulness, attitude, user satisfaction, and behavioral intention. The analysis results indicated that the external factors positively influenced users' behavioral intention to use the BEMS through expected satisfaction, perceived ease of use, and perceived usefulness. Suggestions for BEMS developers are provided as well.

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Applying the Technology Acceptance Model to the introduction of healthcare information systems

Cited by 420 publications

References 32 publications

Understanding Complexity: the Curvilinear Relationship Between Environmental Performance and Firm Performance

Understanding Complexity: the Curvilinear Relationship Between Environmental Performance and Firm Performance

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

A Behavioral Model of Managerial Perspectives Regarding Technology Acceptance in Building Energy Management Systems

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