This paper presents a model, synthesized from the literature, of factors that explain how business analytics contributes to business value. It also reports results from a preliminary test of that model. The model consists of two parts: a process and a variance model. The process model depicts the analyze-insight-decision-action process through which use of an organization’s business-analytic ca...

With the increase in the need and demand for evolving Web services, the rate at which changes are made to the services has increased. In case of importunate change requests, there arise critical situations where the business analysts are subjected to make changes by themselves without the aid of the developers because of the time and cost factors. However, there are high chances that an analyst...

Traditionally, research in Business Process Management has put a strong focus on centralized and intra-organizational processes. However, today’s business processes are increasingly distributed, deviating from a centralized layout, and therefore calling for novel methodologies of detecting and responding to unforeseen events, such as errors occurring during process runtime. In this article, we ...

regarding to rapidly changing and highly competitive business environment it will become increasingly important for organizations to measure their performances appropriately. with respect to special characteristics of pharmaceutical industry and lack of reported performance measurement, this study tries to design an integrated performance measurement model for pharmaceutical companies. for gene...

the current dynamic and turbulent business environment has forced companies that are competing in global markets to change their traditional methods of conducting business. recent developments in applying information technology (it) offer the most exciting business opportunities in the marketplace. organizations must re-evaluate every aspect of their strategies and quickly move to a working mod...

The success of prediction models for business purposes should not be measured by their accuracy only. Their evaluation should also take into account the higher importance of precise prediction for “valuable” customers. We illustrate this idea through the example of churn modeling in telecommunications, where it is obviously much more important to identify potential churn among valuable customer...

A rock failure criterion is very important for prediction of the ultimate strength in rock mechanics and geotechnics; it is determined for rock mechanics studies in mining, civil, and oil wellborn drilling operations. Also shales are among the most difficult to treat formations. Therefore, in this research work, using the artificial neural network (ANN), a model was built to predict the ultimat...