An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry.

PURPOSE: Ever since National Health Insurance was introduced in 1995, the number of insurants increased to over 96% from 50 to 60%, with a continuous satisfaction rating of about 70%. However, the premium accounted for 5.77% of GDP in 2001 and the Bureau of National Health Insurance had pressing financial difficulties, so it reformed its expenditure systems, such as fee for service, capitation, case payment and the global budget system in order to control the rising medical costs. Since the change in health insurance policy, most hospitals attempted to reduce their operating expenses and improve efficiency. Introducing the electronic logistics information system is one way of reducing the cost of the department of central warehouse and the nursing stations. Hence, the study proposes a technology acceptance research model and examines how nurses' acceptance of the e-logistics information system has been affected in the medical industry. METHODS: This research combines innovation diffusion theory, technology acceptance model and added two research parameters, trust and perceived financial cost to propose a new hybrid technology acceptance model. Taking Taiwan's medical industry as an experimental example, this paper studies nurses' acceptance of the electronic logistics information system. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. RESULTS: The results of the survey strongly support the new hybrid technology acceptance model in predicting nurses' intention to use the electronic logistics information system. CONCLUSION: The study shows that 'compatibility', 'perceived usefulness', 'perceived ease of use', and 'trust' all have great positive influence on 'behavioral intention to use'. On the other hand 'perceived financial cost' has great negative influence on behavioral intention to use.

Nursing students' behavioral intention to use online courses: a questionnaire survey.

BACKGROUND: The development of network communication science and technology has accorded a special benefit to learning. Online courses have also become the most popular and important learning resource among students. OBJECTIVES: Overall, this research aims to explore what are the important factors making students use online courses. DESIGN: The research combines the technology acceptance model and the innovation diffusion theory, and adds four research variables, computer anxiety, computer self-efficacy, perceived financial cost and perceived information quality to propose a new hybrid technology acceptance model to study students' behavioral intention to use online courses. SETTINGS: Based on 228 questionnaires collected from nursing students in Taiwan. METHODS: The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. PARTICIPANTS: The survey began with e-mail and telephone interviews in January 2006. The interviewees were 348 students of Taiwan's universities. Because some of the replying subjects have never taken those courses and some did not complete the questionnaires, there were 228 valid questionnaires from students of Taiwan's universities who have taken online courses. The responding rate was 65.52%. RESULTS: This research found that computer anxiety had a negative effect on the behavioral intention to use online courses (gamma=-0.21, P<0.01). Computer self-efficacy had a positive effect on the behavioral intention to use online courses (gamma=0.37, P<0.01). Compatibility had a positive effect on both the behavioral intention to use online courses (gamma=0.18, P<0.01) and perceived usefulness (gamma=0.3, P<0.01). Perceived usefulness had a positive effect on the behavioral intention to use online courses (beta=0.14, P<0.05). Perceived ease of use had a positive effect on perceived usefulness (gamma=0.23, P<0.01), the behavioral intention to use online courses (gamma=0.24, P<0.01). Perceived financial cost had a negative effect on the behavioral intention to use online courses (gamma=-0.16, P<0.01). Perceived information quality had a positive effect on the behavioral intention to use online courses (gamma=0.11, P<0.05). The findings of this research help to develop more user friendly online courses for students. CONCLUSIONS: (1) Computer anxiety, computer self-efficacy, compatibility, perceived usefulness, perceived ease of use, perceived financial cost, and perceived information quality were the critical factors that impacted on students' behavioral intention to use online courses. (2) Computer anxiety and perceived financial cost had a negative effect on the behavioral intention to use online courses. (3) The present study added four new research constructs (computer anxiety, computer self-efficacy, perceived financial cost, and perceived information quality) to the research model so that it would be more complete; this improved the fit of the whole model. (4) Computer self-efficacy, compatibility, perceived usefulness, perceived ease of use, and perceived information quality had a positive effect on the behavioral intention to use online courses. By explaining students' behavioral intention from a user's perspective, the findings of this research help to provide insight into the best way to promote new e-learning tools for students.

A new hybrid model for exploring the adoption of online nursing courses.

With the advancement in educational technology and internet access in recent years, nursing academia is searching for ways to widen nurses' educational opportunities. The online nursing courses are drawing more attention as well. The online nursing courses are very important e-learning tools for nursing students. The research combines the innovation diffusion theory and technology acceptance model, and adds two research variables, perceived financial cost and computer self-efficacy to propose a new hybrid technology acceptance model to study nursing students' behavioral intentions to use the online nursing courses. Based on 267 questionnaires collected from six universities in Taiwan, the research finds that studies strongly support this new hybrid technology acceptance model in predicting nursing students' behavioral intentions to use the online nursing courses. This research finds that compatibility, perceived usefulness, perceived ease of use, perceived financial cost and computer self-efficacy are critical factors for nursing students' behavioral intentions to use the online nursing courses. By explaining nursing students' behavioral intentions from a user's perspective, the findings of this research help to develop more user friendly online nursing courses and also provide insight into the best way to promote new e-learning tools for nursing students. This research finds that compatibility is the most important research variable that affects the behavioral intention to use the online nursing courses.

Exploring adolescents' intentions regarding the online learning courses in Taiwan.

This research combines computer self-efficacy, computer anxiety, innovation diffusion theory, the technology acceptance model, and a proposed new hybrid technology acceptance model to study adolescents' behavioral intentions to use online learning courses. The results of the study show computer self-efficacy, compatibility, perceived usefulness, and perceived ease of use have a great positive effect, and computer anxiety has a great negative effect, on the behavioral intention to use online learning courses. By explaining adolescents' behavioral intentions from a user's perspective, the findings of this research provide insight into the best way to promote new e-learning tools for adolescents.