The interaction between paternalistic leadership style,organizational justice and organizational citizenship behavior： A study from Turkey

The aim of this study is to investigate the impact of paternalistic leadership style on justice perceptions of the employees. Even though the impact of organizational justice＇s affect on employee attitudes and behaviors is a huge area of interest, the antecedents of organizational justice perceptions is a topic that needs to be further developed and leadership is one of them. In the previous studies, the impact of transformational and transactional leadership on justice was searched, but the impact of a culturally specific model namely paternalistic leadership hasn＇t been clearly investigated. This study was conducted in Turkey which respects paternalistic culture with 329 employees working in various sectors in Istanbul. The regression analyses proved that paternalistic leadership has an impact on organizational justice perceptions and organizational citizenship behaviors of the employees. And the mediating affect of organizational justice between paternalistic leadership styles and OCB was also questioned. Research models for the next studies and managerial implications were suggested.     

Bid dispersion,competition and wage regulation: some field evidence from public contract bidding in British Columbia

The paper uses data from British Columbia to show that bid dispersion (the difference between the winning and next-lowest bids) in public school construction contract bidding is very compact, and that it varies inversely with the degree of competition. It also examines the impact of the Skill Development and Fair Wage Law (SDFWP), which promulgated wage scales and required contractors to pay them in public construction projects, on the bid dispersion. Multivariate analysis shows that bid dispersion declined after SDFWP. One possible interpretation of this result is that the contractors became less prone to the winner's curse following the SDFWP.     

Union Wage Gap in the U.S. Construction Sector: 1983–2007

Wage gap decomposition shows that declining union power was the principal force behind the shrinking union wage premium in the U.S. construction industry between the 1980s and the 2000s. This decline was largely offset by changes in returns to workforce attributes and workforce compositions. Without these moderating effects, the decline in the wage gap would have been twice as large (in log points). The patterns were similar in the basic and mechanical trades, but magnitudes of change were larger in the latter.     

Predicting base station return on investment in the telecommunications industry: Machine-learning approaches

Investment in the right location ensures sustainable competition. In the telecommunication sector, the number of base stations (BSs) is one of the most significant investment parameters. When a potential BS is subject to be selected, practitioners will first consider investing in a BS where the return on investment (ROI) is highest. Therefore, the quantifiable objectives are distinctly defined, as it makes sense to choose maximizing features that raise per unit investment. This study provides a solution to evaluate the best BS installation alternative with machine-learning approaches as well as to estimate ROI value by changing the properties that affect the ROI value. For this purpose, the estimation performance of logistic regression, random forest, and XGBoost methods are compared and further strengthened by random forest hyperparameter optimization to provide the best performance. The model, with a success rate of 98.7% according to the $F$-score, showed that it was a robust algorithm. The three most essential features for the ROI value are determined to be voice traffic, data traffic, and frequency cost. These parameters enable a review of the prediction results of telecommunications managers and planning specialists responsible for BS investment.