Long-term predictions are indispensable for planning and strategy. Yet little is known about their value, their limitations or the most appropriate way of making and using them. This paper examines these issues and proposes ...

In September 1922, after more than three years of war in Asia Minor, the Greek army was defeated by the Nationalist Turkish powers led by Mustafa Kemal. The atrocities from the part of the Turkish armed forces against the ...

The crucial questions which center monetary analysis are : What determines the money supply? Can the Central Bank act to influence that supply? If yes, how? These questions have generated a good deal of controversy in the ...

The key variables in international trade policy are imports and exports elasticities with respect to income and prices. Thus their estimation has drawn~particular attention in the post war period. Most of the studies ...

Purpose: The leaders’ communication skills, as they emerge in negotiations, contribute decisively to sustainability of business. This study identifies a set of characteristics, abilities, and skills that leaders possess ...

Until recently, especially in financial governance issues, studies had paid little attention to the role of the European Parliament (EP), rather focusing on other institutions such as the European Council, the Commission ...

Economics and finance cannot be separated from the political and social system and the institutions within which they are embedded. This has been stressed by an array of approaches which attempt to disclose the role of ...

This book analyses the role of the European Parliament as an international actor and presents a new debate about its role outside the EU territory. It explores different policy areas including human rights, international ...

Forecasting errors fall in two clearly different categories: (a) the residual errors from fitting a model to the available data and (b) the post-sample forecasting errors. The emphasis of statistical theory and forecasting ...

Forecasting errors fall in two clearly different categories: (a) the residual errors from fitting a model to the available data and (b) the post-sample forecasting errors. The emphasis of statistical theory and forecasting ...

This paper asserts that the Second Law of Thermodynamics (SLT) despite holding truc in ail laboratory tests heretofore conducted, cannot, by itself, explain the hierarchical universe. By examination of the existing evidence, ...

This paper asserts that the Second Law of Thermodynamics (SLT) despite holding true in all laboratory tests heretofore conducted, cannot, by itself, explain the hierarchical universe. By examination of the existing evidence, ...

Numerous studies on leadership and on the relationship between leadership style and various individual and organisational outcomes have utilised either of two questionnaire instruments for the measurement of leader ...

Purpose – Examines the relationship between the dimensions of self-leadership behavioural-focused strategies, job satisfaction and team performance. It also evaluates the extent to which job satisfaction mediates the ...

The goal of this study is to examine the impact of the Self-leadership styles on the dimensions of Enterpreneurial Orientation in organizations in Dubai and th Netherlands: Innovativeness, Risk Taking and Proactivness. The ...

The goal of this study is to examine the impact of self-leadership styles on the dimensions of entrepreneurial orientation in organizations in Dubai and the Netherlands: Innovativeness, Risk Taking and Proactiveness. The ...

In business and economic series it is often true that a constant rate of growth prevails. This can happen with the sales of a company, GNP, consumption patterns, etc. For example, if the growth in GNP is 5% a year, it ...

The testing of various explanations of international trade patterns always arouses a good share of academic interest. Unfortunately, due to imperfections embodied in the testing processes and due to imperfect data, the ...

In the preceding three chapters, several major classes of time-series forecasting methods were examined---exponential smoothing, decomposition, autoregressive/moving average, and filters. Various models within each ...