Corporate Social Responsibility: Is Too Much Bad?—Evidence from India

Asia-Pacific Financial Markets - Over the years, firms have been using Corporate Social Responsibility (CSR) as a strategic tool to improve their competitiveness and ultimately benefit their...     

Combining revealed and stated preferences data

Our objective is to develop a unifying framework for the incorporation of different types of survey data in individual choice models. We describe statistical methodologies that combine multiple sources of data in the estimation of individual choice models and summarize the current state of the art of data combination methods that have been used with market research data. The most successful applications so far have combined revealed and stated preference data. We discuss different types of market and survey data and provide examples of research contexts in which one might wish to combine them. Although these methods show a great deal of promise and have already been used successfully in a number of applications, several important research issues remain. A discussion of these issues and directions for further research conclude the paper.     

Investigation of damage and repair of a 1000 MTD horizontal ammonia converter

An operational upset caused by a diapharagm failure in the high pressure casting of the synthesis gas compressor resulted in major pressure/flow surges in the synthesis loop.     

美国清洁能源与安全法案概览及对中国的影响

由于美国是世界主要的温室气体排放上的重要国家,所以美国在应对气候变化上面的政策举措和立法备受瞩目。本文从多个角度全面的介绍了美国众议院于2009年6月通过的美国清洁能源与安全法案。着重反映了该法案的立法过程、主要内容、争议焦点以及各方对此法案的反响。并在此基础上,结合中国的目前的实际,总结美国在此立法上的得失,提出了中国可以借鉴的内容。同时也为中国将来采取何种减排措施作了分析,给出了相应的建议。     

Is Cross-Cultural Similarity an Indicator of Similar Marketing Ethics?

This study compares Australian marketers with those in the United States along lines that are particular to the study of ethics. The test measured two different moral philosophies, idealism and relativism, and compared perceptions of ethical problems, ethical intentions, and corporate ethical values. According to Hofstede's cultural typologies, there should be little difference between American and Australian marketers, but the study did find significant differences. Australians tended to be more idealistic and more relativistic than Americans and the other results were mixed, making it difficult to generalize about the effects of moral philosophies on the components of ethical decision-making measured here. This is an important finding; as firms become increasingly more globalized, marketers will more often be involved in cross-cultural ethical dilemmas and it seems natural to assume that similar cultures will have similar ethical orientations. That assumption may well prove erroneous.     

Deriving joint space positioning maps from consumer preference ratings

Joint space multidimensional scaling maps are often utilized for positioning analyses and are estimated on survey samples of consumer preferences, choices, considerations, or intentions so as to provide a concise spatial depiction of the competitive landscape including relevant dimensions or attributes, competing brands, and consumers in the same joint space representation. Care has to be given concerning the underlying scale properties of such survey data so as not to distort the resulting joint space positioning map. We present a new joint space multidimensional scaling procedure for positioning analyses for displaying the structure in such survey data when such common ordered successive category measurement scales such as Likert, Edwards, semantic differential, etc., are employed. We present the technical details of this stochastic ordered preference multidimensional scaling vector model as well as the maximum likelihood estimation-based algorithm devised for parameter estimation. Favorable comparisons are made with several existent multidimensional scaling methods in representing the internal structure for such data in marketing positioning studies. An actual commercial positioning application concerning large sports utility vehicles consideration to buy judgments is presented with predictive validation comparisons with other multidimensional scaling joint space procedures.