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Prediction problems raised in uncertain environments require different solution approaches such as grey prediction models, which consider uncertainty in information and also enable the use of small data sets. The purpose of this paper is to investigate the comparative performances of grey prediction models (GM) and Markov chain integrated grey models in a demand prediction problem.

The modeling process of grey models is initially described, and then an integrated model called the Grey-Markov model is presented for the convenience of applications. The analyses are conducted on a monthly demand prediction problem to demonstrate the modeling accuracies of the GM (1,1), GM (2,1), GM (1,1)-Markov, and GM (2,1)-Markov models.

Numerical results reveal that the Grey-Markov model based on GM (2,1) achieves better prediction performance than the other models.

It is thought that the methodology and the findings of the study will be a significant reference for both academics and executives who struggle with similar demand prediction problems in their fields of interest.

The novelty of this study comes from the fact that the GM (2,1)-Markov model has been first used for demand prediction. Furthermore, the GM (2,1)-Markov model represents a relatively new approach, and this is the second paper that addresses the GM (2,1)-Markov model in any area.

Financial literacy has a strong influence on financial well-being, and it is a concept especially important for college students who start to develop their financial habits. The purpose of this paper is to examine the relationship between financial literacy, money attitudes and time preferences among Turkish university students.

Data were collected from 1,443 university students from 14 campuses in Turkey. Structural equation modeling methodology is employed to test the hypotheses.

The results suggest that students with higher financial knowledge scores have more favorable financial attitudes and exhibit more desirable financial behaviors. It is also demonstrated that financial attitude is positively related to financial behavior. Furthermore, a significant and negative relationship between the affective dimension of the money ethic construct and financial behavior is found. In contrast, the relationship between the behavioral dimension of money ethic and financial behavior is positive. It is further demonstrated that a present orientation leads to more negative financial attitudes.

This study will reveal the interrelationships among dimensions of financial literacy, money ethics and time preferences in an emerging economy with a relatively little experience with formal financial systems and unstable macroeconomic conditions.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.