浅谈集邮业务的个性化服务

文章回顾了我国集邮业务的历史演变和发展状况,分析了集邮业务的业务结构变化及其所带来的经营方式和经营策略的变化,提出个性化服务是集邮业务的发展方向,论述了个性化服务的社会需求、市场前景和发展空间,探讨了个性化服务的发展措施及经营思路。     

外贸生意难做是价格竞争引起的吗

外贸生意越来越难做了。如何看待这种现象？有人说，这是由于在高度竞争压力下的角色变形；也有人说．为了减少成本．大家都走捷径．最终导致恶意价格竞争。还有人说．企业不论大小．核心问题是要发展．增强市场竞争的能力。[编者按]     

亚洲货币一体化的前景分析

从国际货币体系改革的大趋势——区域性货币一体化入手，分析亚洲货币一体化的现状，认为创造亚洲的共同货币——亚元是亚洲货币一体化的理想选择。并阐述亚洲货币一体化仍然要大致经历欧洲货币一体化所走过的几个阶段。分析中国在东亚货币一体化进程中的地位和作用。     

加入世贸组织新形势下加强银行业人力资源管理的思考

入世后银行业面临激烈挑战,现行人力资源管理状况难以适应竞争要求,本文以入世为契机,论述了深入推进人力资源管理的改革方法,加强银行业人力资源管理的思考.     

浅谈图书馆知识服务在培训教学的作用

知识服务作为新世纪图书馆的一种全新的服务模式，必须有一支高素质的专科馆员队伍，不仅有扎实的图书馆学、情报学、计算机等方面的基础知识和技能，还要具备能独立获取知识信息的能力，知识信息处理和语言文字表达能力，捕捉信息能力，合成信息能力及良好的职业道德和敬业精神．在提升的过程中不断地自我完善。拓宽专科馆员的思维模式，醒悟领会到学习连续性，重要性和前瞻性，提高自身修养。     

广东本地服装品牌的市场培育

本地原创品牌的发展塑造需要坚持,也需要本地市场的支持。品牌经营者必须充分了解市场需求,有针对性地进行市场培育,同时结合自身条件进行品牌营销,才能在市场上取胜。文章基于服装品牌消费者层次分析,提出以差异性的品牌推广方式来培育忠诚顾客的若干策略,从而提升原创品牌的市场竞争力。     

适应金融市场环境 提升风险管理能力

进入新的五年计划时期，中国金融市场化环境已经并将继续发生新的深刻变化，包括利率和汇率市场化的进程不断加快，在此形势下，政府、银行和企业都面临一个更好地转变外部宏观金融市场环境，深入培育市场，更好地适应利率市场化和人民币汇率市场化的任务，只要积极主动应对，构建明晰的金融风险管理框架、提升风险计量与管理技术、方法、手段、工具，有效管理利率汇率风险，才能促进商业银行和全社会整体资金效益的提高和企业的可持续发展。     

从经济角度看政府职能的转变

如何提高经济效率,在经济活动中,政府行为应怎样合理定位,综观世界各国政府行为在经济中的职能不外有三种即轻视政府在经济中的职能模式;重视政府在经济中的职能模式;既有政府干预的必要,又相信市场调节能力的职能模式.中国政府应根据自己的国情,切实做好政府职能转变.     

Tolerance for uncertainty and the growth of informationally opaque industries

Hofstede's [Hofstede, Geert H. 1980. Culture's consequences: international differences in work-related values. Thousand Oaks, CA: Sage.] cross-country psychological survey of IBM employees finds that some countries (societies) are systematically less tolerant of uncertainty, while uncertainty-tolerance is shown by some theoretic models to be essential to the growth of emerging sectors about which less is known. This paper first uses Durnev, Morck, and Yeung's [Durnev, Art, Morck, Randall, and Yeung, Bernard. 2004. Value-enhancing capital budgeting and firm-specific stock return variation. The Journal of Finance. 59(1): 65–105.] methodology to identify these informationally opaque industries. The hypothesis is then made that countries characterized by high uncertainty aversion (measured by Hofstede's indicator, and two other alternative indicators) will grow disproportionately slower in industrial sectors where information is less available. Using the Rajan and Zingales [Rajan, Raghuram G. and Zingales, Luigi. 1998. Financial Dependence and Growth. American Economic Review. Vol. 88(3): 559–586.] “difference-in-differences” methodology, which is relatively free from the endogeneity problem, the study provides robust evidence of such an industrial growth pattern in 34 countries and 36 manufacturing industries. It also shows that national uncertainty aversion is not driven by underdevelopment of financial sector, inadaptability of civil law systems, lower level of economic or human capital development, labor market inflexibility, or any of many other institutional factors. The results remain robust when religious (Catholic vs. Protestant) composition is used as an instrumental variable for national uncertainty aversion. The international evidence presented helps explain why some countries are slower in embracing “new” (vs. traditional) industries.     

Multiple generation product life cycle predictions using a novel two-stage fuzzy piecewise regression analysis method

Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights.