基于IP核的芯片级测试结构研究

分析了芯片级测试的特点以及与传统板级测试区别,对SOC测试结构的核心部分测试访问机制(TAM)和Wrapper进行了详细的论述,分析了系统级芯片的测试结构及其优化.     

Acceptance of Corporate Blogs for Collaboration and Knowledge Sharing

ABSTRACT

This study investigates employees’ acceptance of corporate Web 2.0 applications for collaboration and knowledge sharing. Results show that altruism, managerial support, and perceived usefulness are good predictors of the intention to use corporate blogs as tools for collaboration and knowledge sharing. The study further explores differences between employees from companies with low and high adoption rates, and uses prediction-oriented segmentation to unveil two different paths to adoption of Web 2.0 collaborative tools in companies.     

Imaginal and emotional experiences in pleasure-oriented IT usage: A hedonic consumption perspective

Based on the marketing theory of hedonic consumption, this study examines the effects of six types of imaginal and emotional experiences on using pleasure-oriented IT. Associated hypotheses are tested using questionnaire responses from 443 online game players. The results provide strong support for the major hypotheses and indicate that the determinants of behavior may differ in using pleasure-oriented versus productivity-oriented IT. This paper contributes not only to the application of a marketing theory to IS research, but also to improved understanding of using pleasure-oriented IT and of why people use technologies that are not particularly useful from a productivity standpoint.     

Behavioral intention,use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning

Widespread implementation of e-learning systems – learning management systems, virtual learning environments – across higher education institutions has aroused great interest on the study of e-learning acceptance. Acceptance studies focus on the predictors of system adoption and use, with behavioral intention to use the system as a proxy for actual use. This study proposes a TAM3-based model – with the inclusion of two additional variables: personal innovativeness in the domain of information technology and perceived interaction – to study the factors influencing the acceptance of e-learning systems. Attention is also brought towards the role of behavioral intention, especially in its relation with use behavior. In order to do so, two different settings were considered: higher education and lifelong learning; data was gathered from a survey administrated to Spanish graduate and lifelong learning students, and partial least squares analysis was used to test the research model. Results supported TAM relations, except for the intention-behavior linkage, and unveiled a dual nature of perceived usefulness – with one component related to efficiency and performance, and another component related to flexibility. The adequacy of applying TAM3-based models in educational contexts and suitability of actual system usage measures are also discussed.     

Toward an Understanding of Consumer Attitudes on Online Review Usage

ABSTRACT

With the rapid e-commerce growth and changes in consumers’ behaviors, many businesses are forced to adapt their business model to match their target customers’ needs. To provide consumers with more product details and increase their confidence in making online purchases, online businesses offer an online review as an alternative to physically interacting with a product. Although consumers have become familiar with the use of online product reviews, many aspects of user behavior toward the usage of online reviews are still not well understood. This study explores the factors underlying the acceptance of consumers’ online review usage when considering purchasing an item. The study results provide insight into the factors that affect customers’ use of online reviews prior to a purchase. This study furthers the body of knowledge that deals with online reviews and system usage, providing results that allow e-commerce businesses to adapt their business model to better fit consumers’ expectations.     

Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches

Smartwatches, among many wearable form factors, have become an important starting point for the wide dissemination of wearable devices. Not only are smartwatches a new IT product, they are also a fashion product. Recognizing the smartwatch as the converging point of IT innovation and fashion, the current study examines whether factors germane to the characteristics of fashion products affect the intention to use smartwatches. Utilizing the technology acceptance model (TAM) as the base framework, the current study extended the model by incorporating perceived enjoyment and perceived self-expressiveness, which are influenced by an individual’s vanity and need for uniqueness. The findings from 562 Korean respondents indicated that the characteristics of smartwatches as fashion products significantly explain the intention to use a smartwatch, particularly the individual’s desire for uniqueness. A limited effect of vanity on self-expressiveness implies that the smartwatch is not yet deemed a luxury commodity. Theoretical and practical implications, as well as the limitations of the study are further discussed.     

Perceived derived attributes of online customer reviews

The influence of online customer reviews (OCRs) on customers' purchase intention has recently gained considerable attention, in both academic and business communities. Technology allows customers to freely and easily post their comments and opinions online about any product or service; this type of customer review can have a significant effect on customers' purchase decisions. Previous studies, however, have mainly focused on the influence of the virtual attributes of OCRs such as volume and valence on consumers' intentions, while limited attention has been paid to understanding the effects of the derived attributes. This study, thus, aims to understand the impact of the perceived derived attributes of OCRs on customer trust and intention. This study develops a – Perceived Derived Attributes (PDA) - model, based on the inclusion of perceived control from the Theory of Planned Behaviour (TPB) with the Technology Acceptance Model (TAM), in order to investigate the effects of OCRs on customers’ purchasing intention. A total of 489 responses to a survey were collected from users of amazon.com. The findings from this study suggest that customer trust in an e-vendor and their intention to shop online are significantly affected by perceived usefulness, perceived ease of use and perceived enjoyment of OCRs. Furthermore, the sense of control derived from OCRs significantly affects customer intention and significantly affects customer trust in e-vendors, particularly for customers who frequently check OCRs before making a purchase. Clearly, those attributes of OCRs are linked to the development of the shopping environment, which consequently can affect sales.     

Adapting the Technology Acceptance Model to evaluate the innovative potential of e-learning systems

This paper describes an experience where the Technology Acceptance Model (TAM) has been adapted for use in the evaluation of methodological and technological innovations determined by the introduction of a new e-learning system in an Italian online university. While the original TAM allows one to assess acceptance and adoption of a new technology, in this case there was also a need to consider all the phases of use of the system (course design, running and evaluation), all the users of the system (students, teachers and e-learning management), and all the system’s components (the e-learning platform, the learning resources and mostly the underlying pedagogical approach). The resulting model, which is an extension of the original TAM, is a three-dimensional one, with three aspects to be considered on each axis (phases of use, users and components). For each of the 27 combinations of these aspects, indicators of usefulness and ease-of-use have been identified. When available, data concerning actual use (derived from the tracking functions of the platform) and effectiveness (based on teachers’ adoption of new tools and students’ learning outcomes) have also been used to complement the data.     

Book review

Over the last few years, we have built and tested two systems designed to make Web content more accessible for people with limited vision and dexterity. The first system, based on content transcoding via a proxy server, possessed several attractive features but proved to be unacceptably complex, error prone, and slow. The second system, based on client-side transformations, worked well enough to be broadly deployed. We report here on lessons learned and on the current state of the research effort. We review the two systems, discuss their strengths and weaknesses, and examine how the second system is being used.     

Remote health monitoring adoption model based on artificial neural networks

The purpose of this research is to utilize the adoption model of remote health monitoring established by artificial neural networks (ANNs). The adoption model by the naming is the healthcare information adoption model (HIAM) that it is created first time by myself. The HIAM focused on citizens in Taiwan as research subjects. The main research result showed that people’s perceived usefulness and benefits (PUB) must be raised in order to effectively increase the adoption of remote health monitoring. Moreover, this research has proved that the utilization of the adoption model of remote health monitoring established by ANN based on the HIAM is feasible. These findings may offer significant reference for subsequent studies.