Hybrid particle swarm optimization with mutation for optimizing industrial product lines: An application to a mixed solution space considering both discrete and continuous design variables

This article presents an artificial intelligence-based solution to the problem of product line optimization. More specifically, we apply a new hybrid particle swarm optimization (PSO) approach to design an optimal industrial product line. PSO is a biologically-inspired optimization framework derived from natural intelligence that exploits simple analogues of collective behavior found in nature, such as bird flocking and fish schooling. All existing product line optimization algorithms in the literature have been so far applied to consumer markets and product attributes that range across some discrete values. Our hybrid PSO algorithm searches for an optimal product line in a large design space which consists of both discrete and continuous design variables. The incorporation of a mutation operator to the standard PSO algorithm significantly improves its performance and enables our mechanism to outperform the state of the art Genetic Algorithm in a simulated study with artificial datasets pertaining to industrial cranes. The proposed approach deals with the problem of handling variables that can take any value from a continuous range and utilizes design variables associated with both product attributes and value-added services. The application of the proposed artificial intelligence framework yields important implications for strategic customer relationship and production management in business-to-business markets.     

Parametric Decomposition of Output Growth Using A Stochastic Input Distance Function

This article proposes a tractable approach for analyzing the sources of TFP changes (i.e., technical change, changes in technical and allocative inefficiency, and the scale effect) in a multi-output setting, while retaining the single-equation nature of the econometric procedure used to estimate the parameters of the underlying technology. The proposed approach relies on Bauer's cost function-based decomposition of TFP changes and the duality between input distance and cost functions. The empirical results are based on a sample of 121 UK livestock farms observed over the period 1983–92 and a translog input distance function.     

Production Structure, Technical Change, and Productivity Growth in Albanian Agriculture

This paper analyzes the production structure, technical change, and total factor productivity of Albanian agriculture during the postwar period. Albanian agriculture faced severe structural problems such as limited economies of scale, labor-using technical change, decreasing partial factor (land and labor) productivities, and slow growth of total factor productivity. Agricultural development in Albania was based mainly on input increases, which accounted for almost 90% of output growth. Consequently, the economic crisis appearing since 1990 is not due only to the adjustment process toward a market economy but has also been affected by the postwar agricultural development strategy.     

Single Versus Multi-market Approach: An Application to the Greek Cotton Market

Estimation of the price-induced welfare effects in vertical and horizontal market settings may prove a tricky task when multiple price changes are taken into account. Whether a multi-market sequential approach or a single-market approach is used the well-established, theoretical result suggests that these two partial equilibrium methods are equivalent in terms of implied welfare changes. This paper develops the methodology to empirically compare these two methods. We estimate the welfare changes to Greek cotton–yarn producers induced by the simultaneous change in the prices of cotton–yarn and the cost of labor. Results substantiate the multi-market approach offers more accurate welfare estimates than the single-market approach, in empirical work.

The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method

A recent strand in the literature emphasizes the role of news-based economic policy uncertainty (EPU) and equity market uncertainty (EMU) as drivers of oil price movements. Against this backdrop, this paper uses a kth-order nonparametric quantile causality test, to analyse whether EPU and EMU predict stock returns and volatility. Based on daily data covering the period of 2 January 1986 to 8 December 2014, we find that, for oil returns, EPU and EMU have strong predictive power over the entire distribution barring regions around the median, but for volatility, the predictability virtually covers the entire distribution, with some exceptions in the tails. In other words, predictability based on measures of uncertainty is asymmetric over the distribution of oil returns and its volatility.     

Ethical Distance in Corrupt Firms: How Do Innocent Bystanders Become Guilty Perpetrators?

This paper develops the concept of the ‘continuum of destructiveness’ in relation to organizational corruption. This notion captures the slippery slope of wrongdoing as actors engage in increasingly dubious practices. We identify four kinds of individuals along this continuum in corrupt organizations, who range from complete innocence to total guilt. They are innocent bystanders, innocent participants, active rationalizers and guilty perpetrators. Traditional explanations of how individuals move from bystander status to guilty perpetrators usually focus on socialization and institutional factors. In addition to these factors, we propose that the very distance between an act and its ethical consequences (ethical distance) may also play a determining role – if not always in the same way – in the transition process. Having developed this conceptual argument, we conclude with a discussion of managerial and research implications. An Earlier version of this paper was presented at the The Twelfth Annual International Conference Promoting Business Ethics, New York, October 2005     

AN EVALUATION OF THE GREEK UNIVERSITIES’ ECONOMICS DEPARTMENTS

This study provides a ranking of Economics Departments of Greek universities. Contrary to the existing literature, we look directly at the citations of the faculty members as a measure of academic performance and avoid the classification of journals. Additionally, the country of the PhD studies was found to be a significant variable that can explain the productivity of Greek economists. PhD holders from US and UK universities are characterized by higher productivity compared to those from other countries.     

Native-immigrant wage differentials in Greece: discrimination and assimilation

This article applies the Blinder–Oaxaca methodology in order to dissect the average earnings differentials between Greek workers and three different groups of immigrants into a part attributed to differences in characteristics and a part due to discrimination. It also seeks to identify the effect of assimilation (i.e. postmigration human capital) on immigrants’ earnings. We use information about 8429 individuals, of which 1185 are immigrants. The data are drawn from the Greek Labour Force Survey (2009). Our results suggest that discrimination is significantly higher for immigrants originating from non-EU countries than it is for EU foreigners, while it is negative for those who terminated education in Greece. Also, there is evidence that (i) post-migration human capital is a significant determinant of immigrants earnings, (ii) there is limited transferability of skills between sending countries and Greece and (iii) education is the main determinant of the wage gap between natives and immigrants.