Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...

Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...

This paper investigates the notion of an "expert system," including key characteristics, such as the use of rules and uncertainty representations. The paper also reviews some of the issues associated with the development of expert systems, such as knowledge acquisition, verification and...

We drew upon findings from the diffusion literature to assess the prospects for the diffusion of expert systems in forecasting. Forecasters judged potential adoption of expert systems in relation to two techniques that had been widely adopted in the past, Box-Jenkins and scenarios. They also...

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some...