同伴接纳与流动儿童外化问题行为的关系:自尊和物质主义的链式中介作用

本研究探讨同伴接纳对流动儿童的外化问题行为的影响,以及自尊、物质主义的链式中介作用。在武汉市三所小学选取478名五、六年级的流动儿童,运用同伴提名法、物质主义价值观量表-儿童版(MVS-c)、自尊量表(SES)、儿童青少年问题行为问卷(CB)进行问卷调查。结果发现,同伴接纳、物质主义价值观、自尊、外化问题行为四者均显著相关;同伴接纳对外化问题行为具有很强的直接预测作用,也会通过物质主义价值观和自尊的部分中介作用而影响外化问题行为,还会通过自尊、物质主义的链式中介作用影响外化问题行为。     

An empirical investigation of factors influencing the adoption of data mining tools

Previous studies explored the adoption of various information technologies. However, there is little empirical research on factors influencing the adoption of data mining tools (DMTs), particularly at an individual level. This study investigates how users perceive and adopt DMTs to broaden practical knowledge for the business intelligence community. First, this study develops a theoretical model based on the Technology Acceptance Model 3, and then examines its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs. The model's determinants include 4 categories: the task-oriented dimension (job relevance, output quality, result demonstrability, response time, and format), control beliefs (computer self-efficacy and perceptions of external control), emotion (computer anxiety), and intrinsic motivation (computer playfulness). This study also surveys the moderating effect of experience and output quality on the determinants of DMT adoption and use. An empirical study involving 206 DMT users was conducted to evaluate the model using structural equation modeling. Results demonstrate that the proposed model explains 58% of the variance. The findings of this study have interesting implications with respect to DMT adoption, both for researchers and practitioners.     

Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing

Social tagging systems enable users to assign arbitrary tags to various digital resources. However, they face vague-meaning problems when users retrieve or present resources with the keyword-based tags. In order to solve these problems, this study takes advantage of Semantic Web technology and the topological characteristics of knowledge maps to develop a system that comprises a semantic tagging mechanism and triple-pattern and visual searching mechanisms. A field experiment was conducted to evaluate the effectiveness and user acceptance of these mechanisms in a knowledge sharing context. The results show that the semantic social tagging system is more effective than a keyword-based system. The visualized knowledge map helps users capture an overview of the knowledge domain, reduce cognitive effort for the search, and obtain more enjoyment. Traditional keyword tagging with a keyword search still has the advantage of ease of use and the users had higher intention to use it. This study also proposes directions for future development of semantic social tagging systems.     

Demystifying blockchain: A critical analysis of challenges,applications and opportunities

The blockchain is considered to be the potential driver of the digital economy. The Blockchain technology outweighs the challenges associated with the traditional transaction business governed and regulated by the third trusted party. There is a growth in the interest among the researchers, the industry, and the academia to study and leverage the potential of Blockchain. Blockchain provides a decentralized and distributed public ledger for all the participating parties. Though it seems that blockchain is a viable choice and solution for all the centralized governed and regulated transactions (in digital online space), it has potential challenges that need to be resolved; opportunities to be explored, and applications to be studied. This paper utilizes a systematic literature review to study several research endeavors made in the domain of blockchain. To further research on blockchain adoption, the paper theoretically constructs an integrated framework of the blockchain innovation adoption process in an organization considering organizational and user acceptance perspectives. This would facilitate its widespread adoption, thereby achieving sustained leadership solutions. The paper offers 23 propositions to information systems (IS)/information management (IM) scholars with respect to innovation characteristics, organizational characteristics, environmental characteristics, and user acceptance characteristics. Further, the paper explores several areas of future research and directions that can provide deep insights for overcoming challenges and for the adoption of blockchain technology.     

Web日志挖掘在电子商务推荐中的应用

介绍电子商务和Web数据挖掘的概念,并介绍Web使用挖掘中应用最多的技术——Web日志挖掘.重点阐述了日志挖掘算法——关联规则的有关知识,以及改进的频繁项目集生成算法Apriori和强关联规则生成算法,并结合实例进行了分析研究.     

Effects of an Educational Experience Incorporating an Inventory of Factors Potentially Influencing Student Acceptance of Biological Evolution

This investigation provides an extensive review of scientific, religious, and otherwise non-scientific factors that may influence student acceptance of biological evolution. We also measure the extent to which students' levels of acceptance changed following an educational experience designed to address an inclusive inventory of factors identified as potentially affecting student acceptance of evolution (n = 81, pre-test/post-test) n = 37, one-year longitudinal). Acceptance of evolution was measured using the Measure of Acceptance of the Theory of Evolution (MATE) instrument among participants enrolled in a secondary-level academic programme during the summer prior to their final year of high school and as they transitioned to the post-secondary level. Student acceptance of evolution was measured to be significantly higher than initial levels both immediately following and over one year after the educational experience. Results reported herein carry implications for future quantitative and qualitative research as well as for cross-disciplinary instruction plans related to evolutionary science and non-scientific factors which may influence student understanding of evolution.     

User acceptance of SMS-based e-government services: Differences between adopters and non-adopters

Delivering public services through the SMS channel is popular in developed and developing countries, and it has demonstrated its benefits. However, citizens' acceptance of the services is still an issue. This paper presents a study on user acceptance of SMS-based e-government services. Constructs of the proposed model were derived from a survey on citizens' motivations for using SMS-based e-government services (142 respondents from 25 countries), prominent theories on individual acceptance of technologies, and current studies on user acceptance of SMS and e-government services. The model was validated using data from 589 citizens in three cities in Indonesia, who are non-adopters. The relationships between the factors then were compared with data from 80 adopters of SMS-based e-government services in Australia. The proposed model explains what factors influence non-adopters to accept SMS-based e-government services, and the comparison explains the relative importance of the factors for the adopters. The findings are promising for governments who wish to evaluate a new SMS-based e-government system very early in its development in order to assess potential acceptability and for governments who would like to diagnose the reasons why an existing SMS-based e-government service is not fully acceptable to citizens and to take corrective action to increase the acceptability of the service.     

基于随机游走增强型矩阵分解的混合服务预测

随着Web服务数量的急剧增长,如何在大量功能相似但非功能属性各异的服务中选择满足用户个性化需求的服务是亟需解决的问题。基于QoS（Quality of Service）预测的服务推荐方法成为研究热点。然而, QoS数据的稀疏性和“冷启动”问题阻碍其发展。针对当前主流的QoS预测模型预测精度不高和收敛速度较慢等问题,提出一种基于随机游走模型和矩阵分解技术的混合QoS预测方法。该方法首先基于矩阵分解获得用户及服务的潜因子矩阵,并将用户潜因子矩阵转化为用户相似度矩阵;然后基于用户相似度矩阵并结合Web服务的网络位置信息,使用随机游走模型提高用户相似度矩阵的准确性;最终结合协同过滤方法与矩阵分解模型进行QoS预测。在真实数据集上实验,结果表明,与当前主流的QoS预测方法相比,该方法具有更高的预测精度和效率。     

不同语种科技期刊稿件互荐刊登弊大于利——与董秀玥商榷

通过对国际生物医学期刊投稿的统一要求和中华医学会系列期刊稿约的解读,指出不同语种科技期刊稿件互荐刊登弊大于利,并与《编辑学报}2007年第6斯发表的《不同语种科技期刊稿件互荐刊登的意义及方法》一文的作者商榷。强调应按照国际惯例,允许作者以不同语种向不同期刊投稿,但不提倡、不鼓励、更不向其他期刊推荐发表论文。