This paper presents an overview of the existing literature on project control and earned value management (EVM), aiming at fulfilling three ambitions. First, the journal selection procedure allows to discern between high-quality journals and more popular business magazines. Second, the collected papers on project control and EVM, published in the selected journals, are classified based on a framework consisting of six distinct classes. Third, the classification framework indicates current trends and potential areas for future research, which can be summarized as follows: (i) increased attention to the stochastic nature of projects, (ii) enhanced validation of the proposed methodology using a large historical dataset or a simulation experiment, (iii) expansion of integrated control models, focusing on time and cost as well as other factors such as quality and sustainability, and (iv) development and validation of corrective action procedures.
In this paper, the authors focus on the stability of earned value management (EVM) forecasting methods. The contribution is threefold. First of all, a new criterion to measure stability that does not suffer from the disadvantages of the historically employed concept is proposed. Second, the stability of time and cost forecasting methods is compared and contrasted by means of a computational experiment on a topologically diverse data set. Throughout these experiments, the forecasting accuracy is reported as well, facilitating a trade-off between accuracy and stability. Finally, it is shown show that the novel stability metric can be used in practical environments using two real-life projects. The conclusions of this empirical validation are found to be largely in line with the computational results.
We extend the literature on the role of capital requirements as a regulatory tool by developing a continuous measure of the degree of regulatory pressure and by examining data on US commercial banks during the economic upturn that preceded the 2007-2009 financial crisis. Our findings indicate the inability of regulatory pressure to force banks to build capital buffers during the economic upturn that preceded the crisis. These findings are consistent with the view that banks entered the crisis with inadequate levels of capital. Our findings support the endeavors of regulators in explicitly demanding capital buffers in their new regulatory framework.
Three distinct fields of gene manipulated biotechnology have so far been economically exploited: medical biotechnology, plant biotechnology and industrial biotechnology. This article analyzes the economic evolution and its drivers in the three fields over the past decades, highlighting strong divergences. Product and market characteristics, affecting firms' financing options, are shown to be important enablers or inhibitors. Subsequently, the lack of commercialization in a fourth type of gene manipulated biotechnology, namely environmental biotechnology, is explained by the existence of strong barriers. Given the latter's great promises for environmental sustainability, we argue for a need to push the commercial valorization of environmental biotechnology. Our research has strong implications for (technology) management research in biotechnology, pointing to a need to control for and/or distinguish between different biotechnology fields.
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