Generational differences in the workplace have been the subject of much discussion for the field of management. In many cases, the technology savvy of the youngest generation in the workplace, coined “digital natives,” is the motivation behind organizational decision-making. However, little...

This article focuses on factors that comprise effective risk communication, decision-making, and measurement of information technology (IT)/ information assurance (IA) risk. A review of the extant literature provided the basis for the formulation of research questions. The sample population...

This article presents a set of sensitive business process (SBP) modeling requirements and proposes a multi-criteria evaluation framework to appraise the expressiveness of currently widely used business process modelling formalisms to select the most suitable for SBP representation. The modelling...

Data mining has been gaining attention with the complex business environments, as a rapid increase of data volume and the ubiquitous nature of data in this age of the internet and social media. Organizations are interested in making informed decisions with a complete set of data including...

Universities have deployed enterprise resource planning (ERP) systems to ease complexity and provide on-demand information. These systems also provide the opportunity to reengineer business processes to improve efficiency. However, these installations may not be as efficient or effective as...

In this article, a solution to the problem of perturbation in the urban transport network has been proposed. This solution is based on the multicriteria decision support method, which is an efficient way of identifying appropriate solutions to different perturbations situations. The proposed...

Most of the current smart applications are developed with basis on intelligent computing, most of which are implemented using big data analytics and much other advanced technology. With emerging technology, industrial and instructive improvements are causing greater changes in the lifestyle of...

Instance selection and feature selection are important steps in the data mining process. They help reduce the excessive number of instances and features. The purpose of this reduction is to eliminate the noisy and redundant instances and features in order to improve the classifiers performance....

In urban areas, the cost of road congestion has paid great attention to the sociological, technological and environmental aspects, such as the optimal route and fuel consumption. This step is towards a smarter vehicle mobility where the travel time will be planned and dynamically adapted to...

Military women in key positions, despite their notable facts, remain low. While initiatives have added chances, women still experience gaps in opportunities and notoriety. This phenomenological study explored the practices and accounts of military women who shattered the glass ceiling. The...