A private versus a public space: Anonymity and buying decorative symbolic goods for avatars in a virtual world

The virtual world has become a new channel in which people can contact with others, and organizations can provide service to their customers. Selling symbolic virtual goods has also emerged as a new economy in the virtual world. Such symbolic goods cannot facilitate people to accomplish any specific tasks; people buy them simply to decorate their avatars. This study is based on the theories of symbolic consumption, self-presentation, and computer-mediated environment, to investigate why people buy decorative symbolic goods in the virtual world. The results show that people buy symbolic virtual goods for both emotional and social values. While user perceived social presence and telepresence affect both social and emotional value of symbolic goods, individual self-presentation motivation affects only social value. Besides, anonymous users in the virtual world show behaviors that differ with non-anonymous ones.     

新乡市旅游产业转型升级的对策研究

实现旅游产业的转型升级是新乡市旅游业发展到一定阶段的必然选择。文章从新乡旅游产业转型升级的背景入手,对制约新乡市旅游产业转型升级的因素进行了深入的分析论证,并提出了相关的对策和建议。     

文化创意产业园区协同创新平台的构建——以江西服装创意产业为例

江西省服装产业正处于由劳动密集型产业向知识密集型产业过渡的关键时期.在此发展阶段,江西省应在大力发展服装制造加工业的同时积极培育服装创意产业的发展,尽力提升知识、技术、创意等生产要素对服装产业的贡献,摆脱对劳动力、土地、自然资源等初级生产要素的过度依赖.探究了如何构建服装创意园区的协同创新平台并促进服装产业的转型升级.     

核电行业非连续性需求的供应风险

任何企业的供应需求都可以分为连续性需求和非连续性需求.在分析目前一般供应风险研究成果的基础上,对于非连续性需求的定义、特征以及在非连续性需求条件下更加突出的供应风险和后果进行了初步探讨,并分析了核电站行业供应的非连续性特点以及相应的风险防范措施.非连续性需求条件下供应风险的分析和研究,有助于相关企业重视和防范由此导致的风险.     

统计工作如何适应铝工业发展的变化

指出了随着企业产品结构的调整，统计工作的不适应性，并提出了相应的解决办法。旨在提高统计人员的素质，从而更好地顺应铝工业的发展趋势。     

现代钢铁生产流程的优化与发展

现代钢铁生产流程进入新世纪后正加快优化的进程.紧凑、高效和智能化是主要发展方向;新流程发展和现有流程的改造相结合,是流程变革的主要特点;与多学科新技术的结合,将成为发展的主要特征;符合社会可持续发展的要求是钢铁流程优化最重要的目标.     

从国际铜加工行业的重组看我国铜加工行业的可持续发展

介绍了近年来国际铜加工行业的资产重组以及我国铜加工行业的特点,对正处于调整期的我国铜加工行业的可持续发展提出了一些建议。     

氧气在浮法玻璃生产中的应用

介绍了国内某玻璃厂浮法玻璃熔窑使用氧气助燃的一次尝试,简介了其中底烧法的使用方法、过程和效果,列举了有待改进的内容。     

Predicting the Outcome of Construction Litigation Using Boosted Decision Trees

Construction litigation has become commonplace in numerous construction projects, particularly in large contracts. Miscommunication, inadequate plans and specifications, rigid contracts, changes in site conditions, nonpayment, catch up profits, limitations on manpower, tools, and equipment, improper supervision, notice requirements, constructive changes not recognized as such by owner, delays, and acceleration measures provoke claims and often result in disputes. A boosted decision tree system was used to predict the outcome of construction litigation. The study was conducted by using the same 114 Illinois court cases that were used in earlier prediction studies conducted with artificial neural networks in 1998 and case-based reasoning in 1999, augmented by an additional 18 cases that were filed in 1990–2000. All cases were extracted from the Westlaw on-line service. The best prediction result obtained with boosted decision trees was 90%. The boosted decision tree model appears to be a promising tool to help create a dispute-free construction industry.