Recall and recognition effects of brand name imagery

The strategic marketing decision regarding the selection of a brand name has long been an area neglected by academic researchers. This study attempts to apply psychological theory to this important strategic decision area. Specifically, the applicability of a dual-coding theory of memory to brand name recall/recognition is tested in an experimental setting. Results indicate, on average, a significant one hour and two day recall/recognition advantage of high imagery over low imagery brand names across a variety of product categories.     

Focusing the fuzzy front–end in new product development

Effectively managing the 'upfront or fuzzy front–end' (FFE) of the product development process is one of the most important, difficult challenges facing innovation managers. In this paper, we define the FFE as the period between when an opportunity is first considered and when an idea is judged ready for development. We classify the outcomes of the FFE into product definition, time, and people dimensions. We suggest several strategies to manage the FFE by assigning a FFE manager or team; by providing organizational support for FFE activities; by understanding the sources of FFE ambiguity; by building an information system; and by developing relationships with supporters, partners, and alliances.     

Initial Margin Requirements, Volatility, and the Individual Investor: Insights from Japan

Initial margin requirements represent: (1) a cost impediment to the wealth constrained investor and (2) a potential way of mitigating excessive volatility. However, prior empirical research finds that margins are not an effective tool in reducing volatility. We consider the possibility that margins primarily affect certain stocks and investors. Specifically, we test whether margins affect individuals who, as a group, we believe to be the investors most affected when margin requirements change. Our initial empirical tests, however, do not support this contention.     

Public Sector Capital and the Production Efficiency of U.S. Regional Manufacturing Industries

This paper applies a stochastic frontier production model with time-varying technical efficiency to investigate the relationship between public capital and technical efficiency. It is based on the proposition that public capital has an effect on actual output by enhancing technical efficiency, thereby reducing the gap between maximum potential output and actual output. Empirical results using panel data from U.S. state manufacturing industries during 1969–86 show that technical efficiencies varied substantially, both between states and between years; variations in technical efficiency are significantly explained by variations in public-sector capital.
JEL Classification Numbers: O20, H54, C23.     

中国企业“七剑”走出去

时代变迁,中国企业面对的已经是纷繁复杂且日趋加剧的国际竞争,由此也预示着企业必将在更大的范围、更广的领域、更高的层次上参与全球经济一体化运行。实施“走出去”战略、实现跨国经营已不单纯是一句口号,中国企业已经积聚实力,仗剑出击,以“七剑下天山”之势勇敢面对全球经济激烈竞争中企业发展壮大不可回避的选择。只不过,这一次出发,手中的七把重剑已经变成了七种更加有力的武器。     

Choice Research: A Wealth of Perspectives

This article is a navigation guide to the twenty papers that emerged from the workshops conducted at the Sixth Invitational Choice Symposium (Estes Park, Colorado, June 2004). The papers are categorized into three broad sets that focus respectively on choice modeling issues, on providing interdisciplinary perspectives on choice, and on relating choice research to real world concerns. Within each category, we offer provide brief integrative overviews linking subsets of papers.     

韩国政府为实现环保型企业经营的政策及方案

文章论述了环境问题对人类的重要性及创造环保型的企业环境需要解决的问题,在此基础上,提 出了为实现环保型企业经营韩国政府所应该采用的政策及具体的实施方案。     

Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures

A feature transformation method based on domain knowledge for arti?cial neural networks (ANNs) is proposed. The method of feature transformation based on domain knowledge converts continuous values into discrete values in accordance with the knowledge of experts in speci?c application domains. This approach effectively ?lters data, trains the classi?er, and extracts the rules from the classi?er. In addition, it reduces the dimensionality of the feature space, which not only decreases the cost and time in the operation but also enhances the generalizability of the classi?er. The experimental results of the proposed approach will be compared and tested statistically with the results of the linear transformation method. The results show that the method of feature transformation based on domain knowledge outperforms the linear transformation in modelling of ANNs. Copyright © 2004 John Wiley & Sons, Ltd.     

农村劳动力转移模型:基于中国制度背景的构造

本文在对经典的农村劳动力流动模型进行理论梳理的基础上,引入中国的制度变量,试图构建适合中国制度背景的农村劳动力转移模型,同时,运用经验事实对其作进一步的实证检验,并分析了模型的政策含义。     

基于Agent的物流配送决策支持系统研究

物流配送是一个涉及多种影响因素的综合性复杂问题。本文探讨了基于Agent(智能体技术)的物流配送决策支持系统设计，在该系统中的智能体模型中引入学习机制，初步建立了一个具有专家系统特点、可以不断进化的物流配送决策支持系统。