Critical Success Factors on E-Government Application - From the View of Government Workers in Guangdong

This study used a sample of 293 government workers from Guangdong Province of Peoples Republic of China. Based on Delone and McLean\u27s IS success model, we constructed the measurement scale for evaluating E-Government Applications success. We also examined impacts of five critical success factors (i.e. internal organization and management, quality of product and technology of suppliers, external technical environment, the external policy environment, and coordination and supportive ability of information center) on E-Government Applications. Some government characteristics and personal backgrounds were also included and explored as control variables. It was found that these five critical success factors are significantly related among themselves. It was also found from the Pearson correlation coefficients that all but external policy environment were statistically related with E-Government Application. The level of government (the City government level) and personal role as a top leader were also found to be important government and personal factors associating with E-Government Application success. A multivariate regression analysis was conducted to test five factors and two control variables. It is found that the model was statistically significant. Since the correlation among independent variables, it was found that internal organization management, external policy environment, City level government (a dummy variable) and user as a top leader (a dummy variable) were final significant variables. This was a paper originated from a doctoral dissertation. Time and resources were limited. Some potential areas for improvements and suggestions for further study were also presented

One-way quantum computing with arbitrarily large time-frequency continuous-variable cluster states from a single optical parametric oscillator

One-way quantum computing is experimentally appealing because it requires only local measurements on an entangled resource called a cluster state. Record-size, but non-universal, continuous-variable cluster states were recently demonstrated separately in the time and frequency domains. We propose to combine these approaches into a scalable architecture in which a single optical parametric oscillator and simple interferometer entangle up to ($3\times 10^3$ frequencies) $\times$ (unlimited number of temporal modes) into a new and computationally universal continuous-variable cluster state. We introduce a generalized measurement protocol to enable improved computational performance on this new entanglement resource.Comment: (v4) Consistent with published version; (v3) Fixed typo in arXiv abstract, 14 pages, 8 figures; (v2) Supplemental material incorporated into main text, additional explanations added, results unchanged, 14 pages, 8 figures; (v1) 5 pages (3 figures) + 6 pages (5 figures) of supplemental material; submitted for publicatio

Multivariate Gaussian and Student-t process regression for multi-output prediction

Gaussian process model for vector-valued function has been shown to be useful for multi-output prediction. The existing method for this model is to re-formulate the matrix-variate Gaussian distribution as a multivariate normal distribution. Although it is effective in many cases, re-formulation is not always workable and is difficult to apply to other distributions because not all matrix-variate distributions can be transformed to respective multivariate distributions, such as the case for matrix-variate Student$-t$ distribution. In this paper, we propose a unified framework which is used not only to introduce a novel multivariate Student$-t$ process regression model (MV-TPR) for multi-output prediction, but also to reformulate the multivariate Gaussian process regression (MV-GPR) that overcomes some limitations of the existing methods. Both MV-GPR and MV-TPR have closed-form expressions for the marginal likelihoods and predictive distributions under this unified framework and thus can adopt the same optimization approaches as used in the conventional GPR. The usefulness of the proposed methods is illustrated through several simulated and real data examples. In particular, we verify empirically that MV-TPR has superiority for the datasets considered, including air quality prediction and bike rent prediction. At last, the proposed methods are shown to produce profitable investment strategies in the stock markets

E-Payment Acceptance Among German Millennials: Perception and Demographic Background

During the last twenty years, the growth of the internet and its ability to facilitate e-commerce transactions has had a profound impact on the way business is done by both corporations and individuals (Herhausen et al., 2015; Jeffus et al., 2017). The unprecedented growth of e-commerce has driven the creation of new payment systems to transfer funds electronically from person-to-person or person-to-business (Teoh et al., 2013; Sumanjeet, 2009). The intent of this research is to explore the factors surrounding e-payment use in specific geographical regions to provide a better understanding of that regions e-payment behaviors. This research centers on German millennials, how they value e-payment, and what factors influence their acceptance of electronic funds transfer technology. To reach this goal, a survey was conducted with German millennials exploring what behavior affects their usage of e-payment systems. The results of this survey can provide insights to understand attitudes and behaviors of young generations in their e-payment. The results of this exploratory study center on the descriptive statistics of the respondents

Digital Divide of Perceptions, Usage, and Purchase Items in Japanese E-Payment Adoption

The idea of a “digital divide” is a common issue in less developed countries but is also found in developed countries. We surveyed 151 Japanese to examine the effect of digital divide characteristics such as regional variations, age, and gender on the perception and behavior surrounding e-payments. We find that regional difference affects Japanese perceptions, especially ease of use and trust, but not use. Also, older people are more like to use e-payment in terms of weekly frequency and amount of money spent than younger consumers. Japanese males, in general, have higher average scores in ease of use, importance of incentives, and usage than females. Moreover, males are more likely to purchase electronics, books, groceries, and services using e-payments

E-payment Usage among Young Urban Chinese

The use of e-payment by young urban Chinese has grown exponentially in recent years. The purpose of this study is to investigate factors affecting individual usage of e-payments in a government-controlled market economy. The proposed research model was based on the technology acceptance model and was tested using regression analysis based on 325 college students in China. Results suggest that perceived benefit, self-efficacy, perceived quality, age and gender are significant predictors of e-payment usage and the percent of respondents’ personal monthly spend. The result provides practical implications for firms for promoting e-payment services in developed markets

Information and Communication Technologies (ICT): Components, Dimensions, and its Correlates

Information and Communication Technologies (ICT) has been identified as one of the crucial factors that affect teaching effectiveness and student learning worldwide. UNESCO, many international organizations, and many governments emphasized the importance of ICT and try to incorporate ICT into education systems. This study examined self-assessed computer competency in thirteen ICT areas from two samples, e.g., the United States and Mexico. Reliability tests were conducted, and rank analysis was done among them. By using factor analysis, these thirteen areas were grouped into three categories: “basic ICT skills”; “advanced ICT skills;” and “multimedia skills and attitudes towards ICT”. Subjects showed the highest scores in basic ICT skills, which include knowledge of computer systems, use of the operating system, search internet and communication and networking. The multimedia skills and attitudes towards ICT demonstrated the second highest scores. Advanced ICT skills that include image processing, use of database, technological platforms, and web 2.0 tools was found to have the lowest competency scores among subjects. Multivariate analysis was also conducted and found that age and gender are two significant factors to predict ICT competency, and age was found to have a non-linear relationship on advanced ICT skills