The Experts below are selected from a list of 73296 Experts worldwide ranked by ideXlab platform
Kai I Huang - One of the best experts on this subject based on the ideXlab platform.
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applying the Technology acceptance model to the introduction of Healthcare information systems
Technological Forecasting and Social Change, 2011Co-Authors: Kai I HuangAbstract:Abstract With the rapid development of information systems and advances in Healthcare Technology paired with current concerns arise over patients' safety and how to cure them efficiently, the Healthcare information systems are attracting the attention of more and more people. The purpose of this study is to propose a conceptual model, appropriate for the intention to use Healthcare information systems, by adopting the system, service, and information qualities covered in the Information System Success Model proposed by DeLone and Mclean [1] as the external variables and integrating the three dimensions of perceived usefulness, perceived ease of use, and intention to use — referred to in Venkatesh and Davis' updated Technology Acceptance Model, TAM [2]. This study first analyzes relevant researches on the intention to use such systems as the basis for the questionnaire design, then conducts questionnaire survey among district hospital nurses, head directors, and other related personnel. After the questionnaires are collected, SEM is used to analyze the data. The analysis shows that the proposed factors positively influence users' intention to use a Healthcare system. Information, service and system quality influence user's intention through the mediating constructs, perceived usefulness and perceived ease-of-use. Managerial implications are provided accordingly. Suggestions for introducing Healthcare information system are then provided as well.
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Applying the Technology Acceptance Model to the introduction of Healthcare information systems
Technological Forecasting and Social Change, 2011Co-Authors: Fan-yun Pai, Kai I HuangAbstract:Abstract With the rapid development of information systems and advances in Healthcare Technology paired with current concerns arise over patients' safety and how to cure them efficiently, the Healthcare information systems are attracting the attention of more and more people. The purpose of this study is to propose a conceptual model, appropriate for the intention to use Healthcare information systems, by adopting the system, service, and information qualities covered in the Information System Success Model proposed by DeLone and Mclean [1] as the external variables and integrating the three dimensions of perceived usefulness, perceived ease of use, and intention to use — referred to in Venkatesh and Davis' updated Technology Acceptance Model, TAM [2]. This study first analyzes relevant researches on the intention to use such systems as the basis for the questionnaire design, then conducts questionnaire survey among district hospital nurses, head directors, and other related personnel. After the questionnaires are collected, SEM is used to analyze the data. The analysis shows that the proposed factors positively influence users' intention to use a Healthcare system. Information, service and system quality influence user's intention through the mediating constructs, perceived usefulness and perceived ease-of-use. Managerial implications are provided accordingly. Suggestions for introducing Healthcare information system are then provided as well.
Jen-her Wu - One of the best experts on this subject based on the ideXlab platform.
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Healthcare Technology management competency and its impacts on it Healthcare partnerships development
International Journal of Medical Informatics, 2009Co-Authors: Jen-her Wu, Yi-cheng Chen, Robert A GreenesAbstract:Abstract Objective This study presents a conceptual model to investigate the Healthcare Technology management (HTM) competency required by Healthcare IS professionals and the impact of such competency in gaining strategic advantages through information Technology (IT) by development of partnerships with people from different divisions of Healthcare organizations. Methods First, a scale to measure HTM competency was developed and validated, then it was used to collect the large-scale survey data. Second, the partial least squares (PLS) method was used to empirically test the conceptual model and hypotheses through the large-scale survey data collected. Results The empirical results support the proposed structure for HTM competency encompassing the four skills/knowledge domains: Healthcare organization overview, external knowledge networking, Healthcare Technology integration, and management and interpersonal. The findings indicate that HTM competency positively influences the attitudes of information system (IS) professionals towards their willingness to develop partnerships with Healthcare professionals. Conclusions The findings improve our understanding of the concept of HTM competency and its influence on IT–Healthcare partnerships. The conceptual model of HTM is of particular value to those concerned with skills/knowledge training and competency development for IS professionals in Healthcare organizations. Healthcare organizations can develop HTM profiles for individual IS professionals in accordance with their own organization contexts. Executive management can take advantage of such HTM profiles to assist in making succession-planning decisions by evaluating the competency levels and development needs of their employees.
Ka Yiu Lee - One of the best experts on this subject based on the ideXlab platform.
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examining consumers adoption of wearable Healthcare Technology the role of health attributes
International Journal of Environmental Research and Public Health, 2019Co-Authors: Man Lai Cheung, Ka Yin Chau, Michael Huen Sum Lam, Gary Tse, Stuart W Flint, David Broom, Ejoe Kar Ho Tso, Ka Yiu LeeAbstract:With the advancement of information Technology, wearable Healthcare Technology has emerged as one of the promising technologies to improve the wellbeing of individuals. However, the adoption of wearable Healthcare Technology has lagged when compared to other well-established durable Technology products, such as smartphones and tablets, because of the inadequate knowledge of the antecedents of adoption intention. The aim of this paper is to address an identified gap in the literature by empirically testing a theoretical model for examining the impact of consumers’ health beliefs, health information accuracy, and the privacy protection of wearable Healthcare Technology on perceived usefulness. Importantly, this study also examines the influences of perceived usefulness, consumer innovativeness, and reference group influence on the adoption intention of wearable Healthcare Technology. The model seeks to enhance understanding of the influential factors in adopting wearable Healthcare Technology. Finally, suggestions for future research for the empirical investigation of the model are provided.
Md Shamim Talukder - One of the best experts on this subject based on the ideXlab platform.
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predicting antecedents of wearable Healthcare Technology acceptance by elderly a combined sem neural network approach
Technological Forecasting and Social Change, 2020Co-Authors: Md Shamim Talukder, Golam Sorwar, Yukun Bao, Jashim Uddin Ahmed, Md Abu Saeed PalashAbstract:Abstract Wearable Healthcare Technology (WHT) has the potential to improve access to Healthcare information especially to the older population and empower them to play an active role in self-management of their health. Despite their potential benefits, the acceptance and usage of WHT among the elderly are considerably low. However, little research has been conducted to describe any systematic study of the elderly's intention to adopt WHT. The objective of this study was to develop a theoretical model on the basis of extended Unified Theory of Acceptance and Use of Technology (UTAUT2) with additional constructs- resistance to change, Technology anxiety, and self-actualization, to investigate the key predictors of WHT adoption by elderly. The model used in the current study was analyzed in two steps. In the first step, a Structural Equation Modeling (SEM) was used to determine significant determinants that affect the adoption of WHT. In the second step, a neural network model was applied to validate the findings in step 1 and establish the relative importance of each determinant to the adoption of WHT. The findings revealed that social influence, performance expectancy, functional congruence, self-actualization, and hedonic motivation had a positive relationship with the adoption of WHT. In addition, Technology anxiety and resistance to change posed important but negative influences on WHT acceptance. Surprisingly, the study did not find any significant relationship between effort expectancy and facilitating conditions with behavioral intention to use WHT by the elderly. The results of this research have strong theoretical contributions to the existing literature of WHT. It also provides valuable information for WHT developers and social planners in the design and execution of WHT for the elderly.
Fan-yun Pai - One of the best experts on this subject based on the ideXlab platform.
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Applying the Technology Acceptance Model to the introduction of Healthcare information systems
Technological Forecasting and Social Change, 2011Co-Authors: Fan-yun Pai, Kai I HuangAbstract:Abstract With the rapid development of information systems and advances in Healthcare Technology paired with current concerns arise over patients' safety and how to cure them efficiently, the Healthcare information systems are attracting the attention of more and more people. The purpose of this study is to propose a conceptual model, appropriate for the intention to use Healthcare information systems, by adopting the system, service, and information qualities covered in the Information System Success Model proposed by DeLone and Mclean [1] as the external variables and integrating the three dimensions of perceived usefulness, perceived ease of use, and intention to use — referred to in Venkatesh and Davis' updated Technology Acceptance Model, TAM [2]. This study first analyzes relevant researches on the intention to use such systems as the basis for the questionnaire design, then conducts questionnaire survey among district hospital nurses, head directors, and other related personnel. After the questionnaires are collected, SEM is used to analyze the data. The analysis shows that the proposed factors positively influence users' intention to use a Healthcare system. Information, service and system quality influence user's intention through the mediating constructs, perceived usefulness and perceived ease-of-use. Managerial implications are provided accordingly. Suggestions for introducing Healthcare information system are then provided as well.
