Prior research has examined entrepreneurial businesses spatially located in the physical or offline context; however, recent radical information and technological breakthroughs allow entrepreneurs to launch their businesses completely online. The growth of the online business industry has been phenomenal. Predictions for worldwide online sales estimate it to reach $2 trillion in 2016. Virtual entrepreneurship refers to the pursuit and exploitation of opportunities via virtual platforms. Web 2.0 cybermediaries offer web-based platforms that function similarly to traditional intermediaries in a virtual setting and minimize barriers to entry for virtual entrepreneurial firms. The use of such cybermediaries with increasing success suggests an implicit shift in the dominant logic that typically underpins the functioning of entrepreneurial firms operating in the physical world. In this relatively uncharted territory, marked by a focus on profit, cooperation, collaboration and community, three ideal-type institutional logics i.e. Market, Corporation and Community, blend together. It is posited that a Virtual Entrepreneurial Logic guides the norms, behaviors, and practices of entrepreneurial firms operating via these virtual platforms. This raises the question whether the blending of three ideal-type logics leads to the existence of different antecedents of performance. A business model antecedent addressing the economic dimension, a community antecedent addressing the …

This study tests whether criteria variance in five job-facet satisfactions and performance rating explained by selected demographic and personality variables is significantly greater than by the selected demographic variables. This study offers a useful procedure for treating job-satisfaction data and predictor variables and measures the significance in predictability between criteria variance accounted for by variables not generally found in personnel files and those usually found there. It was found that job satisfactions and performance rating differ both in terms of predictability and functional relationships with Predictor Sets.

The problem with which this study is concerned is that of determining and analyzing the problems of human resources created in Iran. These problems are rooted deeply and stream from Iranian history, culture, and social environment. The main purposes of this study are three. The first is to determine and analyze problems of human resources created in Iran, including social environment, education, and employment. The second is to study and evaluate the manpower policy of Iranian economic development. The third is to apply human resource development in planning, educating, training, and developing the human resources required for the economic development of Iran. Based on the reports and recommendations of the three research groups, a detailed plan and strategies are written to develop Iran's human resources.

The purpose of this research was to develop an empirical model which could be used to predict job tenure for sewing machine operators in a large garment factory. Although the model did accurately predict tenure in each of five scoring ranges, the results did not meet the level of significance set forth in the hypothesis. It can be fairly stated that the results were trending in the right direction, but were not statistically significant.