The aim of this paper is to examine the efficiency of two credit risk modeling (CRM) to predict the credit risk of commercial Iranian banks: (1) Logistic regression model (LRM); (2) Artificial neural networks (ANNs). The calculations have been done by using SPSS and MATLAB software. Number of samples was 316 and 5 dependent variables. The results showed that, artificial neural network is more p...

Identification and managing of variety of risks during the complete product design, development and delivery process are challenging. It covers the ‘product value stream’ in engineering projects including partners, suppliers, research and development, design and manufacturing, marketing, purchasing, service and support personnel and customers. This, coupled with the relationships that have deve...

In industries with perishable goods dynamic pricing schemes are often used and many models have been proposed to maximize seller’s revenues. These models are based on a range of assumptions about how customers make buying decisions. Some assume that customers are myopic and are not forward looking while others assume that customers are strategic and anticipate future prices. In the second strea...

This paper studies a unique panel dataset of transactions with repeat customers of an insurer operating in a market in which insurers are not required by law or contract to share information about their customers’ records. I use this dataset to test the asymmetric learning hypothesis that sellers obtain over time private information that some of their repeat customers have low risk, and that th...

Online content aggregators such as DVD-rental companies offer their customers a wide selection of products, ranging from the most popular to the most obscure. Although there has been a sharp debate about the demand for niche products in the “long tail” of an aggregator’s library, leading to questions around optimal strategies, research has not linked the consumption of popular and obscure offer...

this essay proposes results of three investigations on satisfaction of industry & mine bank's customers. this research rendered yearly and pursues following purposes: attainment to resolution for increasing customers' satisfaction, knowing of customers' attitudes on bank employees, customers' judgment on regularities of bank, measuring customers' satisfaction, knowing o...

Perceived risk is the uncertainty of customers due to unpredictability of product qualities and consequences. It is the precondition of further consumption. Based on the perceived risk theory, in this article, we measure the customer’s perceived risk of on-line group purchase; then establish fuzzy synthetic evaluation model of perceived risk; analyze customer behavior; and finally draw a conclu...

Along with the exponential increase in online business transactions, the online payment system has gained in popularity because vendors and creditors realize its growing importance as a foundation to improve their information infrastructure and to achieve “paperless” operating efficiency. However, due to per se different characteristics among customers and Web-systems, both sides’ perspectives ...

When customers are classified into ordered categories, which are defined from the outset, it may happen that the majority belongs to a single category. If a market researcher is interested in the correlation between the classification and individual characteristics, the natural question is whether one needs to collect data for all customers in that particular category. We address this question ...