Stock markets are affected by many uncertainties and interrelated economic and political factors at both local and global levels. The key to successful stock market forecasting is achieving best results with minimum required input data. To determine the set of relevant factors for making accurate predictions is a complicated task and so regular stock market analysis is very essential. More spec...

The Internet has evolved from an information space to a market space with thousands of electronic storefronts, auctions and other commercial services. This market space is not without problem. A main problem is the difficulty of finding relevant offers. We present two possible solutions to this problem: Bon Marché and Logistics Agents which were developed with IBM’s Aglet Workbench – a particul...

The existing literature on socially responsible purchasing relies heavily on stated preference measures elicited through surveys that utilize hypothetical market choices. This paper explores consumers’ revealed purchasing behavior with regard to fair trade coffee and is apparently the first to do so in an actual market setting. In a series of experiments, we investigated differences in consumer...

This paper surveys recent theoretical economic research on long term care (LTC). LTC differs from health care: it is about nursing; it is mostly provided by unpaid caregivers (mainly spouses and children), whereas both the market and the State play a modest role. The future of LTC appears to be gloomy: sustained population ageing and recent societal trends (e.g., children's mobility, changes in...

This paper surveys recent literature in the area of stock market forecasting using advanced engineering based methods like Neural Network, fractal theory, Data Mining, Hidden Markov Model and Neuro-Fuzzy system. Neural Networks and Neuro-Fuzzy systems are emerging as an effective tool to be used in the forecasting of stock market especially in machine learning techniques. Due to chaotic behavio...

The marketability of current and future BCI applications may greatly influence the decisions of goverments, the industry and academia. In this paper we first explored with a survey when respondents (N=145), who were present at the 4th International BCI Meeting, expect that different BCI applications will become commercially available. Second, we surveyed how well existing BCI companies are know...

Intelligent video analytics (IVA) has been growing in the past decade, with a variety of applications from fraud detection to traffic control. This research focuses on the impact of IVA as a decision support tool for market surveys. We compiled a comparative list of existing market survey methods, and identified potential cognitive biases that these methods may impose. In order to look at the e...

A large percentage of farmers do not respond to mail surveys. To gain insight into why farmers do not respond and how to improve response rates, a three-step research design was developed. First, an initial survey, based on in-person interviews with 15 farmers, was sent to 100 farmers. Second, farmers who did not respond to this mail survey were contacted by phone to investigate the reasons for...

UNLABELLED BACKGROUND Here, the educational and labour market characteristics of Mexican dentists are revised. Dentistry is a health profession that has been scarcely studied in developing countries. This analysis attempts to understand the relationships and gaps between the supply and demand of dentists in the country. Around 5000 new dentists graduate every year looking for a place in the ...

This paper examines whether the different types of block shareholdings will have a different impact on the extent of Web voluntary disclosure during the differential privatization stages. Prior literature suggests that block ownership may have a substitutive or complementary monitoring effect on corporate disclosure. However, for economies transferring from state endowment to being privately he...