¡@In pace with the digital service development and technology expansion, the traditional media environment is in a transformation period. Along with the innovation of mobile reading, there is coming an emerging trend, digital mobile reading in the entire world. Therefore, it is clear that print media is toward to the digital convergence trend. ¡@ ¡@It is iPad, first launch tablet in 2011. Apr., contributed to the highest tablet market share among all for Apple Inc. In the future, tablet is going to be a kind of innovative and leading media tools. For that reason, there are plenty of traditional print media companies plan to launch iPad applications. Then, print media not only becomes the potential novel media technology but also leads the trend of print media transformation. However, print media application at present is still in the primary stage. It is still waiting for market test that print media application could be the main stream or not, in the coming future. ¡@¡@This research, on the basis of Rogers¡¦ ¡§Diffusion of Innovations,¡¨ investigates and analyzes the print media applications. Also, setting United Daily News iPad Application as an example, it is focus on the relationship among the features of the early adopters, demographic variables, perceived characteristics of innovations, lifestyle and the willing of print media applications intension. Through the collaboration between academy and industry, UDN. COM, it is 396 effective samples after collecting that distributes to United Daily News iPad Application and UDN. COM. (digital information area) ¡@¡@The result shows that the profiles of the early adopters using United Daily News iPad Application are middle-aged males, well-educated and high income. It is demographic variables, perceived characteristics of innovations and media usage behavior that significantly impact on the willing of print media applications intension. Further, the lifestyle prototype, much closer to sophisticated and fashionable, life expansionists and preference for foreign products, owns superior adoption intensions to United Daily News iPad Application.

Background: The emerging cryptocurrency market becomes more and more recognized around the globe. Therefore, it has become of great interest to policymakers, institutional investors, and individual investors. The new encrypted blockchain technology offers individual investors contemporary opportunities to invest contrary to traditional means. However, the volatile market presents instabilities and uncertainty for market participants creating a research gap for academics to investigate what poses these difficulties.  Purpose: The objective of the study is to investigate the determinants that affect individual investors' adoption intention of Bitcoin. By incorporating theories to understand investment behaviors and attitudes.  Methodology: The thesis utilized a quantitative methodology and collected data through an online questionnaire with the help of a Likert-scale instrument. The survey participants ended with a number of 114 respondents that are characterized as young adult investors. Interpretation and evaluation of the results were analyzed through an OLS linear regression with the help of a software program, Minitab.  Findings: Theresearchquestionwasansweredtoasatisfactorylevel,whereresultsattested to past works of literatures. The study found that consumer characteristic is a driving cause for individual investors' adoption intention of Bitcoin. To elaborate, subjective norms of individuals navigate their attitude towards Bitcoin, and investors’ peers’ opinions and acceptance play a crucial role in their engagement in the market. The herding trend was the most significant variable that contributed to investors’ adoption intention. The results also showed a significant correlation toward the technology acceptance model. Nonetheless, the study lacked empirical evidence to support market characteristics steering private investors’ adoption intention.  Implications & Future Research suggestions: The main implications of the study were factors that regarded data collection and methods. Due to a time limitation, the survey was not available for a longer period of time, a longitudinal study could be of interest whilst incorporating more consumer characteristics into the analysis. In addition, future scholars ought to focus on market characteristics and how they influence varying cryptocurrencies such as Ethereum and Tether alongside Bitcoin. To conclude, a larger scope of the study could bring about more significant results and interesting findings.

This dissertation consists of three studies that collectively investigate the factors influencing the consumer adoption intention towards emerging healthcare technologies. Essay 1 systematically reviews the extent literature on healthcare technology adoption and serves as the theoretical foundation of the dissertation. It investigates different models that have been previously applied to study healthcare technology acceptance. Meta-analysis method is used to quantitatively synthesize the findings from prior empirical studies. Essay 2 posits, develops, and tests a comprehensive biotechnology acceptance model from the end-user's perspective. Two new constructs, namely, perceived risk and trust in technology, are integrated into the unified theory of acceptance and use of technology. Research hypotheses are tested using survey data and partial least square – structural equation modeling (PLS-SEM). Essay 3 extends the findings from the Essay 2 and further investigates the consumer's trust initiation and its effect on behavioral adoption intention. To achieve this purpose, Essay 3 posits and develops a trust model. Survey data allows testing the model using PLS-SEM. The models developed in this dissertation reflect significant modifications specific to the healthcare context. The findings provide value for academia, practitioners, and policymakers.

Yes / Purpose The purpose of this paper is to identify and examine the most important factors that could predict the Saudi customer’s continued intention towards adoption of mobile banking. Design/methodology/approach The proposed conceptual model was based on the technology acceptance model (TAM) and task-technology fit (TTF) model. This is also expanded by considering two additional factors: perceived privacy and perceived security. By using a self-administered questionnaire, the data were collected from a convenience sample of Saudi banking customers from different parts of Saudi Arabia. Findings The main results based on structural equation modelling analyses supported the impact of perceived privacy, perceived security, perceived usefulness and TTF on the customers’ continued intention to use mobile banking. Research limitations/implications The moderation influence of the demographic factors (i.e. age, gender, income level, educational level) was not tested. The data were also collected using a self-report questionnaire; however, it would be more accurate to utilise more statistics from the bank database about the users of m-banking. Originality/value This study represents a worthy attempt to test such novel technology (m-banking) in the KSA where there is a scarcity of literature. A considerable theoretical contribution was also made by integrating the TTF model with the TAM in addition to consider privacy and security in one single model. Moreover, considering both perceived privacy and security in the current model creates an accurate picture about the adoption of m-banking especially as there are a limited number of m-banking studies that have considered privacy and security alongside the TTF model and TAM in the same model.

<p>Drawing from research on the halo effect and protected values, consumers’ adoption intentions and willingness to pay a premium for renewable energy were explored. A moderated mediation was tested through two-instance repeated-measures linear regressions in a behavioral experiment with an Amazon MTurk sample. Besides, non-parametric tests were also used to test moderations of protected values and consumers’ demographics. In line with the expected halo effect, the effects of the renewability of the energy sources on consumers’ adoption intentions were mediated through consumers’ perceived comfort. These mediation effects were stronger among consumers with high protected values compared to those with low protected values. The non-parametric tests revealed that people with protected values were also found reluctant to pay a premium price for fossil fuels. Future directions to study the relationship between the renewability of energy sources and consumers’ willingness to pay a premium considering consumers’ demographics are also discussed </p>

The goal of this thesis was to investigate the factors that influence the adoption of big data analytics by public sector employees based on the adapted Unified Theory of Acceptance and Use of Technology (UTAUT) model. A mixed method of survey and interviews were used to collect data from employees of a Canadian provincial government ministry. The results show that performance expectancy and facilitating conditions have significant positive effects on the adoption intention of big data analytics, while effort expectancy has a significant negative effect on the adoption intention of big data analytics. The result shows that social influence does not have a significant effect on adoption intention. In terms of moderating variables, the results show that gender moderates the effects of effort expectancy, social influence and facilitating condition; data experience moderates the effects of performance expectancy, effort expectancy and facilitating condition; and leadership moderates the effect of social influence. The moderation effects of age on performance expectancy, effort expectancy is significant for only employees in the 40 to 49 age group while the moderation effects of age on social influence is significant for employees that are 40 years and more. Based on the results, implications for public sector organizations planning to implement big data analytics were discussed and suggestions for further research were made. This research contributes to existing studies on the user adoption of big data analytics.