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1 – 5 of 5Ronald K. Klimberg, Kenneth D. Lawrence, Ira Yermish, Tanya Lal and Daniel Mrazik
Forecasting is an important tool used to plan and evaluate business operations. Regression analysis is one of the most commonly used forecasting techniques for this purpose. Often…
Abstract
Forecasting is an important tool used to plan and evaluate business operations. Regression analysis is one of the most commonly used forecasting techniques for this purpose. Often forecasts are produced based on a set of comparable units such as individuals, groups, departments, or companies that perform similar activities. We apply a methodology that includes a new independent variable, the comparable unit's data envelopment analysis (DEA) relative efficiency, into the regression analysis. In this chapter, we apply this methodology to compare the performance of commercial banks over a 10-year time period.
Ronald K. Klimberg, Kenneth D. Lawrence and Tanya Lal
Forecasting is an important tool used by businesses to plan and evaluate their operations. One of the most commonly used techniques for forecasting is regression analysis. Often…
Abstract
Forecasting is an important tool used by businesses to plan and evaluate their operations. One of the most commonly used techniques for forecasting is regression analysis. Often forecasts are produced for a set of comparable units which could be individuals, groups, departments, or companies that perform similar activities such as a set of banks, a group of mangers, and so on. We apply a methodology that includes a new variable, the comparable unit's data envelopment analysis relative efficiency, into the regression analysis. This chapter presents the results of applying this methodology to the performance of commercial banks.
Nicholas J. Ashill, Rania W. Semaan, Tanya Gibbs and Aaron Gazley
Despite major market-orientated reforms to enhance the competitive advantage of Russian domestic firms, the antecedents and consequences of frontline employee (FLE) customer…
Abstract
Purpose
Despite major market-orientated reforms to enhance the competitive advantage of Russian domestic firms, the antecedents and consequences of frontline employee (FLE) customer orientation (CO) remain poorly understood. Acknowledging this paucity of research, the authors draw upon a hierarchical model of personality to examine personality trait determinants of CO and job performance in the context of the Russian financial services sector.
Design/methodology/approach
Data was collected from 186 FLEs using a self-administered survey questionnaire and analyzed using AMOS.
Findings
The results identify which basic personality traits matter in translating FLE CO behavior into higher job performance in the Russian retail-banking sector.
Research limitations/implications
Limitations of the study include the generalizability of the findings within one organizational context. Future research should examine whether the found associations hold true for FLEs working in other service sectors in other parts of the country.
Practical implications
Study findings differ significantly to Western-based research and provide valuable insight into the process that motivates Russian FLEs in a commercial retail setting to perform better in their jobs.
Originality/value
This is the first empirical study that employs a hierarchical model of the effects of basic personality traits on FLE CO and job performance in a former socialist/communist economy. We also advance existing research on FLE CO by distinguishing between two types of CO behavior. Findings provide an understanding of those personality traits that affect the ability of Russian FLEs to better satisfy customer needs and to interact and serve customers in an enjoyable way.
Details