While the low profit times is coming, most of the enterprises hope to strengthen the interior information construction to promote the ability of obtaining profit or enhancing the management skill. With the progress of information technology, descent of hardware price, more friendly user interface, fast computer processing speed and the simplification of information technology, all these factors will aid business management for the enterprises. Recently electronic-business has turned into the mainstream, to implement the information system and build the e-business enterprise nowadays are becoming the hot topic in business management. When the macroeconomic environment is changing quickly, now the state-owned enterprise is facing the unprecedented pressure of reformation. The reformation includes the simplification of manpower, the objective effect management and running the state-owned enterprise by the private stockholder. In order to face the changes and promote the efficiency, all enterprises step into implementing all kind of information systems to enhance the management efficiency. With the electronic trend, a state-owned enterprise has also implemented many information systems, however, the process turned out to have some success and some failure. What are the critical success factors and how do they work? It is worth to do research in depth. This thesis will take ¡§technology acceptance model¡¨ for basis and add something like ¡§computer self-efficacy¡¨ and ¡§task-technology fit theory¡¨ for external variance to discuss what the critical success factors are to implement the information systems for the state-owned enterprise. Besides, we hope the conclusion of the critical success factors will be the reference for other state-owned enterprises or government departments.

The authority of domestic construction industry, the construction and planning agency, is in view of the behind degree than other industry in the wave of electronic business. The government especially has budgeted to subsidize and encourage the construction industries to combine the upper and lower supplier to cooperate and share the information with each other through the electronic business and then promote the competition. The research mainly takes technology acceptance model for basis to discuss the acceptance degree of the lower supplier and the utilization in ¡§electronic business information system construction industries¡¨. It is useful to understand and mobilize the success factors and the influential degree for ¡§the electronic business of construction industries¡¨. The conclusion of this thesis shows that the critical success factors of the electronic business of the construction industries are orderly external computer support and training, internal computer support and training, user experience, website quality, technology and task-technology fit theory. When the construction industries are implementing the relative information systems, the above influential factors could be used as the strategy reference of adjustment.

In the ever-changing environment, the mobile business market is burgeoning nowadays.In order to extend their management to end users, most enterprises decide to adopt mobility.During adoption, the greatest challenge happens to employees who are forced to make use of mobile equipment. What will affect employees when they are to accept new technological equipment? What is the implication of management? How should enterprises assist their employees when introducing new technology? Against the backdrop, more emphasis should be put on the study of user acceptance in order to enhance the benefits of new systems. At present, studies and theories concerning information technology acceptance are mostly applied to personal computers and systems, but seldom to mobility. In the filed of technology acceptance, numerous theoretical models have been established; however, each model is different from one another in constructs, variables and factors. As a result, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this Study discusses those factors that influence mobile staffers of the case study about PDA mobile system and equipment adoption. By means of literature collection and sorting, this Study adopts questionnaires to inspect a total of 185 mobile staffers of the case study. Because this Studyhas included all mobile staffers of the case study, the findings will make great contributions toboth the case study and relevant industries. According to the findings, Performance Expectancy, Social Influence, and Facilitating Conditions prove to be major influential factors of Behavioral Intention, while Effort Expectancy is not directly related to Behavioral Intention. In the analysis of moderators, this Study finds out that experience, educational background and age of users have apparent moderating effects on various paths of the model. As for the implication of management, in order to strengthen mobile staffers¡¦ intention to use new systems and to increase system benefits, enterprises should first promote the usage of new systems, communicate with and encourage their employees when introducing new systems. Second, enterprises should better the quality and quantity of vocational trainings.Third, new systems should be equipped with functions which help mobile staffers improve their performance. Fourth, new systems should be easy to use and learn according to different designs for usage. In addition, mobile staffers should realize those benefits which new systems offer, and have more opportunities to practice using new systems. Therefore, mobile staffers can have higher perception of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions concerning new systems. As for the analysis of moderators, this Study finds out that the variable of Social Influence has a strong indirect relationship to mobile staffers who are older, graduated from senior high school, or have worked for over 12 years. Hence, the management level should educate and encourage the above-mentioned staffers, in order to enhance their intention to use new systems.

As the continuous waves of new technology, there has been an explosion of electronic access to government information. It has undeniably not only led to a dramatic change in the way people communicate, but also increased the ability of institutions, businesses and individuals to channel information. Among various formats of electronic access, the World Wide Web (WWW) is the most powerful way to disseminate information. Governments are well placed to take advantage of the Internet's ability to disseminate electronic documents quickly, cheaply and efficiently. Moreover, as new communication technologies make it possible to establish a closer relationship between citizens and their governments, it is increasingly likely that the Internet's role in the political process will evolve beyond the mere dissemination of information. The intention of this study is to compare the Technology Acceptance Model to a traditional version and a decomposed version of the Theory of Planned Behavior in terms of their contribution to the understanding of the government web sites usage. Data from a field study of 207 students are used to test these models using structural equation modeling. The results are concluded as follows: The coefficient of determination R2BI of the Decomposed Theory of Planned Behavior is about 0.4, in other words, approximately 40% of the variation in behavioral intention is explained by linear regression of behavioral intention on attitude, subjective norm, and perceived behavioral control. In the view of behavioral intention, the explanatory power of the Decomposed Theory of Planned Behavior is equivalent to the Technology Acceptance Model, and is moderately better than the Theory of Planned Behavior. There are several managerial implication. First, the designers of the government web sites should pay more attention to understand the information need of users, not just put effort on technical level. Second, Ease of use with readable format is the best discipline of the government web sites design. Third,. The designers may have to enrich the content of the government web sites so as to enhance intention of users.

ABSTRACT The main purpose of this study is to investigate the usage of web-based teachers' training in elementary and high school. This study adopts motivational orientations and TAM to explore the related factors that affect the usage of web-based teachers' training. The study depends on literature analysis and uses the questionnaire to collect data. A total of 658 subjects attending teachers' training courses are from K12 Digital School. The collected data is processed and analyzed with SPSS for Windows 10.0, and statistical methods adopted in this study are descriptive statistics, t-test, one-way ANOVA, regression analysis and so on. The main findings show that there are 8 motivational orientations for web-based teachers' training and motivational orientations are significant differences among subjects in different age, status, school level and teaching years. Furthermore, computer self-efficacy, social relationships and attitude toward using will significantly affect the usage of web-based teachers' training positively, and perceived usefulness and perceived ease of use toward web-based training system will significantly affect attitude. As for perceived ease of use toward web-based training system, it will significantly affect perceived usefulness toward web-based training system and be affected by computer self-efficacy positively. Finally, based on the research findings, this study proposes conclusions and suggestions for the related organizations and the follow-up research.

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This research investigated the decision process surrounding the self-regulated learning of new uses of existing technology. With firms investing up to 50% of their capital budgets on information technology (in excess of 1 trillion dollars in aggregate), understanding what factors motivate or inhibit more encompassing use of technology is of practical concern (Bowen 1986; Nambisan et al. 1999; Mahmood et a. 2001). I introduced a dynamic element to the technology adoption/acceptance literature by using a framework based upon deferral option theory. This framework allows for the decision to learn a new use of technology to occur over time. I found that potential users chose to defer learning new uses of technology even when usefulness was evident and ease of learning was not prohibitive. Further, an additional benefit to using the deferral option framework was its inclusion of both rewards and penalties; I found that not only do potential users consider what can be gained by learning, but also what can be lost by trying to learn and failing. In addition to using a framework premised on deferral option theory, I investigated the properties of time pressure and subjective norms on the decision to learn new uses of technology. As time pressure offered a possible alternate explanation for why potential users defer learning, I controlled for it experimentally and determined that time pressure did affect deferral choice. Further, as subjective norms have had limited success as a predictor of intent to use technology in prior literature, I investigated the separate pieces of the theoretical construct, referent group perceptions and the motivation to comply with those perceptions. By manipulating environment between work and play settings, different motivational sources were enacted by the potential users. Specifically, I found that when potential users were externally motivated subjective norms did influence deferral, and when internally motivated, subjective norms did not influence a potential user??s decision to defer learning a new use of technology.

In this day and age, information technology to daily life is now universal. The Internet is a global system that provides innovative services. This study focused on treating the feelings and intentions of new users that has not been used at the hedonic website. As well as expectations and intentions during and after a month of usage. Through this study, the self-developed innovative website has created called iMemory. During the first survey, the subjects were on display for users. After measuring the hearts of users show the expected feelings and intentions.A month later, the same measure by measuring the extent of use, the use of feelings and intentions. In this study, based on technology acceptance model, by adding perceived enjoyment that the period of one month longitudinal study. To compare the differences between two results. The results showed that the second measurement of the use of feelings and intentions are will be the first to use measurements of the feelings and intentions significant impact on the use of the past month and the remarkable degree of influence. The second measure of perceived ease of use and perceived usefulness of intent with the impact is not significant, but perceived enjoyment of intent are still significantly affected. Finally, this study based on data analysis for discussion.

The rapid development of information technology has created significant impact in most organizations. Several theories have been proposed to interpret the intention to accept technology by individuals. The two most popular ones are Technology Acceptance Model (TAM), and Theory of Planned Behavior (TPB). The purpose of this thesis is to investigate how well these two theories can analyze the intention of technology acceptance based on existing published primary studies. Thirty-seven studies that used TAM and twenty-three studies that used TPB were analyzed. Four variables associated with the user (student vs. non-student and oriental vs. western) and the technology applications (emotion vs. rational and individual vs. organizational applications) were used to differentiate the explanatory power of these models in different situations. The results show that these models have very different interpretation powers in different situations. For the relationship between attitude and intention in these two models, we found that TAM is more powerful than TPB only for individual. In all remaining situations, TAM can better explain the variance of intention. The findings are useful for researchers in selecting proper models for research and for practitioners to explore ways to increase the likelihood of technology being accepted by the user.