business process reengineering (bpr) is one of the concepts, which consider process orientated view and promises significance successes. since this concept is multidisciplinary, success in this endeavour requires considering different factors. however, a number of studies have been conducted to identify these factors; specific conditions of iranian organization raise the need of studying the su...

While the area of process automation in semiconductor manufacturing has many issues in common with process automation and enactment in business processes, the nature of the semiconductor manufacturing process introduces a number of challenging new issues. Among these issues is the need to not only automate the process but also to continuously control and optimize it. Furthermore the semantics o...

This research is focused towards the prediction of Free Libre Open Source (FLOSS) project failure and non failure. By using the characteristics of open source projects, referred to as determinants, we strive to create a classification model that predicts project failure and additionally, project non-failure. Examples of project characteristics are the number of developers, the number of downloa...

Original scientific paper Mergers and Acquisitions (M&A) have a long history but unfortunately a very short lifespan. The high degree of their failure opens up old issues and requires new answers. This paper presents an original view on Mergers and Acquisitions applying the scientific method of analogy with soap bubbles, with a special attention devoted to the ’hard’ and ’soft’ indicators of M&...

In many industries companies are faced with disruptions from emerging technologies, from the political and legislative environment, from alternative business models or from socio-cultural shifts. To be able to anticipate, identify and manage disruptions, companies are increasingly developing and experimenting with new strategic foresight (SF) practices. The research is currently limited to expl...

Prediction of economic variables is a basic component not only for economic models, but also for many business decisions. But it is difficult to produce accurate predictions in times of economic crises, which cause nonlinear effects in the data. Such evidence appeared in the German automobile industry as a consequence of the financial crisis in 2008/09, which influenced exchange rates and a...

This study examined the extent to which instructional conditions influence the prediction of academic success in nine undergraduate courses offered in a blended learning model (n = 4134). The study illustrates the differences in predictive power and significant predictors between course‐specific models and generalized predictive models. The results suggest it is imperative...