This paper examines the underappreciated differences between the effectiveness and measurement of current technical advances in business management methods and how aspects of transformational leadership, as exhibited by the prophet Moses, can more broadly and deeply contribute to an organization’s success over the long term than these more easily defined procedures. These leadership issues tend to arise most acutely when a company’s management comes under severe scrutiny during times of business scandals and related ethical crises. Using Warren Bennis’s definition of charismatic leadership as a framework, we show how Moses exhibited the qualities of humility, tenacity, integrity, strength, creativity, and innovation, particularly in the field of succession planning, in completing his mission, transforming the ‘organization’ he led, and inspiring future generations. The conclusions here are supported not only by biblical passages but also by relevant business, management, and general literature

Using Major League Baseball (MLB) players who had the ability to bargain for new contracts between the years 2009 and 2013 as a sample, empirical results indicated that contract length had a significant positive influence on salary. The salaries of players who had extended their current contracts met the assumptions of the theory of compensating wage differentials, while those of free agents showed no compensating wage differential effects. Finally, the results suggest discrimination against Latino players.

This paper uses a large variety of different models and examines the predictive performance of these exchange rate models by applying parametric and non-parametric techniques. For forecasting, we will choose that predictor with the smallest root mean square forecast error (RMSE). The results show that the better models are in equations (3), (10), (17), and (18), although none gives a perfect forecast. At the end, error correction versions of the models will be fit so that plausible long-run elasticities can be imposed on the fundamental variables of each model.

No abstract