Factors contributing to IT industry success in developing countries: The case of Thailand

A stream of research exists that explores a country's information technology (IT) industry success. The theoretical model used in these studies is primarily focused on small developed countries. We contend that the factors that contribute to IT industry success in developing countries are likely to differ somewhat from those that play a role in small developed countries. Research to date on IT industry success has neglected developing countries. This study therefore presents an alternative IT industry success model for developing countries. It adapts Ein-dor, Myers, and Raman's (1997) model in developing such a conceptual model. The adapted framework is then applied in a study of IT industry in a developing country—Thailand. We found IT-related foreign direct investment to be vital to IT industry success in Thailand. Unlike findings from earlier studies on small developed countries, geographical location and to a lesser extent government investment promotion policies are also important to IT industry success in a developing country. These findings support the view that there are differences in the factors that affect IT industry success in developed and developing countries. Implications for research and practice are discussed. © 2005 Wiley Periodicals, Inc.     

物理学中的一些首创应如何冠名

本文通过许多史实说明,只有用双名冠名法(即:首创者——完成者)才能比较客观合理地解决物理学中的一些首创冠名问题.     

Comparing e-Learning tools’ success: The case of instructor–student interactive vs. self-paced tools

e-Learning tools have profoundly transformed modern pedagogical approaches. Vendors provide different types of systems, such as self-paced (SP) and instructor–student interactive (ISI) e-Learning tools. Although both types of tools represent promising solutions to facilitate the learning process, it is important to theoretically identify a framework to evaluate the success of these tools and assess whether one type of tool is more effective than another. Toward this end, we (1) propose a model to evaluate e-Learning tools’ success by extending and contextualizing Seddon’s information systems (IS) success model for the e-Learning environment and (2) formulate four hypotheses to predict the differences in the success factors between SP and ISI tools. We test the model and hypotheses using data from 783 students across seven higher education institutions in Hong Kong. The results support the proposed e-Learning tool success model and three of the four hypotheses. ISI tools outperform SP tools in terms of system quality, perceived usefulness, satisfaction, and learning outcome.     

基于成功概率的配电系统可靠性评估新方法

针对传统方法对于复杂配电系统建模复杂或难以克服精度与速度关系的问题,提出了一种配电网可靠性评估的新方法.引入"元件平均成功运行概率"的概念,在进行网络拓扑分析的基础上,只需要一次遍历,即可得到负荷点的故障率和成功运行概率,进而可得负荷点的故障持续时间等所有可靠性指标.该方法的网络模型不会因分支馈线的增多而变得复杂,通过简单的数学运算即可快速准确地得到可靠性指标.通过IEEE RBTS测试系统中的一条主馈线和一条实际系统馈线的计算,证明了该方法具有原理清晰、编程简单、结果准确、计算快速的特点,可有效地进行配电网可靠性分析.     

电站保护装置可靠性指标体系的拓扑分析

对电站保护装置可靠性指标体系引用拓扑理论进行了概要分析，其中针对平均寿命值的弊端提出了平均寿命当时值的概念及算法。     

实验室环境下的智能电表载波模块通信测试

随着智能电网的建设,智能电表在国内居民用户大批量推广并已开始全面挂网运行,而作为智能电表最主要的通信模块之一的低压电力线载波模块的通信性能将直接影响使用效果。本文在实验室内模拟居民用户用电情况搭建了一个低压电力线载波测试环境,采集了6种居民用户常用的用电设备电力线噪声,并在此环境下对国内6种载波模块进行了通信成功率测试,得到了载波信号在线路衰减和用电设备噪声干扰情况下的通信数据。通过测试有助于深入了解低压电力线载波通信的特点以及为现场通信方案的选择实施与故障分析提供了参考依据。     

一种全事件采集测试系统的设计与实现

介绍了一种用于用电信息采集系统全事件采集测试系统的设计。该系统重现现场噪声、模拟现场接线方式、模拟信号衰减。整个测试系统仿真现场环境影响、自动产生事件、比对事件采集结果、记录采集设备采集过程,较好的验证不同采集方案的全事件采集效果。文中的测试系统已经应用于实际测试工作中,研究成果对相关电力载波通信产品的评估、选型以及对于促进全事件采集效果提升具有重要意义。     

考虑机组恢复成功率的黑启动阶段待恢复机组优选

待恢复机组的选择是制订黑启动方案的首要任务。分析了影响黑启动阶段机组成功恢复的主要因素,其中重点分析了变压器空载投入时励磁涌流引起的黑启动机组机端电压波形畸变的影响。在此基础上,定义了线路权重、变压器权重和辅机权重,提出了黑启动阶段机组恢复成功率的概念。综合考虑机组恢复成功率和机组容量等因素,对黑启动阶段待恢复机组进行优选。为了减小计算量,首先从所有待恢复机组中筛选部分机组作为寻优集合,并使用前K最短路径算法搜索寻优集合中机组的可选恢复路径。山东电网实际仿真证明了定义的机组恢复成功率的有效性和所述方法的快速性。     

An empirical examination of application frameworks success based on technology acceptance model

Framework-based development is currently regarded as one of the most promising software development approaches when it comes to improvements in lead time, productivity and quality. However, many frameworks and projects based on frameworks still report failures, which indicate that there are problems related to both frameworks technology and frameworks usage. The objective of our research was to examine the major drivers that have an impact on a framework’s acceptance and a framework’s success. We used the technology acceptance model (TAM) and Seddon’s information systems success model as our underlying theory. Data collected from an online survey of 389 active framework users was used to test hypothesized models. Data analysis was performed via structural equation modeling. Our findings support the post-adoption version of TAM and the relationship between continuous use and the successful use of systems, where more use also means more net benefits. We found that the successful use of frameworks is mainly dependent on two factors: continuous framework usage intention and the perceived usefulness of the framework. Several practical and theoretical implications can be foreseen including advances in framework development guidelines and insight into the relationship between the acceptance and success of frameworks.