The Price-Quality Relationship—Revisited

Using price data collected in Indianapolis and Lafayette, Indiana, rank order correlations between price and quality were computed. These were compared to correlations based on price data obtained from the publications of consumer product testing organizations. It was found that price-quality correlations based on the price data furnished by consumer product testing organizations may not reflect price-quality correlations for specific markets. A second finding of the study suggests the existence of variability across store types with respect to price-quality correlations.     

Types and Amounts of Information Used by Efficient Consumers

This paper describes a research methodology which assesses the efficiency of consumer decision-making based on the types and amounts of informational cues used. A simple operational method is used to classify consumers into three levels of consumer efficiency based on how well they perform in assessing the optimal choice. The information chosen by perfectly efficient consumers, or those scoring at the maximum level of efficiency, is examined for indicators of optimal information seeking and decision-making techniques.     

Book of Intdernational Economics Affairs: MULTINATIONAL ENTERPRISES — A CONTINUING SAGA

AMERICAN MULTINATIONALS AND AMERICAN INTERESTS, by C. Fred Bergsten, Thomas Horst and Theodore H. Moran ALTERNATIVES TO THE MULTINATIONAL ENTERPRISE, by Mark Casson THE ECONOMICS OF MULTINATIONAL ENTERPRISE, by Neil Hood and Stephen Young     

Defect Detection Using Unanimous Vote Among Mahalanobis Classifiers for Each Color Component

In manufacturing industries, product inspection is automated and the use of image data is increasingly being employed for defect detection. A manufacturing company in Japan produces an item and inspects the produced products using image data. Reducing the error rate is important in product inspection because poor inspection of products might lead to the delivery of defective products to consumers (consumer’s risk) and strict inspection increases production cost (producer’s risk). To reduce the error rate, we highlighted fault points using a two-dimensional moving range filter and discriminated defect production through a unanimous vote among Mahalanobis classifiers for each color component. For results, we achieved a lower error rate than the current system. This research is an empirical study of how to use image data in defect detection.     

Broadband Demand Analysis for Network Building

An increase of broadband demand is forecasted by transitional methods that consider the effect of this increase through many factors, such as customer requirement diversification, and new service introduction and deployment under competition. Broadband demand forecasting has become important for closing the digital divide, promoting regional developments, and constructing networks economically; therefore, a demand forecast model that considers the mechanisms of market structure is necessary. In this paper, a demand analysis method for broadband access combining macro- and micro-data mining is proposed, and the service choice behaviour of customers is introduced as a customer model not only to express the macro trend of market structure, but also to consider area marketing. The proposed method can estimate the potential demand, determine the point at which broadband demand growth peaks in a specified area, and support a decision for ultra high-speed broadband access facility installation.