Adoption of Web-based Group Decision Support Systems: Conditions for Growth

While organizations have massively adopted enterprise information systems to support business processes, business meetings in which key decisions are made about products, services and processes are usually held without much support of information systems. This is remarkable as group decision support systems (GDSS) seems very fit for this purpose. They have existed for decades and modern versions benefit of web-based technologies, enabling low cost any-place, any time and device independent meeting support. In this exploratory case research, we study nine organizations in four different adoption categories to learn more about the reasons for the relatively slow adoption of web-based GDSS. Using the Fit-Viability adoption framework we conduct interviews with the organizations that have experience with using GDSS. We conclude that adopting GDSS requires considerable and carefully planned change of processes that are deeply grounded in the organization. Existing meeting routines need to be adapted. Introduction needs to be carefully planned and room for face-to-face meetings and creativity sessions away from the keyboard need to be built in depending on the type of meeting. Not all companies find the cost level affordable. Clear and convincing business cases are lacking. Still the added value is ranked highly and there are frequent and enthusiastic user organizations that may lead the way for others. Their success stories show others how the mitigate the afore mentioned problem

Adoption of web-based group decision support systems: experiences from the field and future developments

While organizations have massively adopted enterprise information systems to support business processes, business meetings in which key decisions are made about products, services and processes, are usually held without much support of information systems. This is remarkable as group decision support systems (GDSS) seems to fit for this purpose. They have existed for decades and modern versions benefit of web-based technologies, enabling low cost any-place, any time and device independent meeting support. In this exploratory case research, we study nine organizations in four different adoption categories to learn more about the reasons for the relatively slow adoption of web-based GDSS. Using the Fit-Viability adoption framework we conduct interviews with organizations that have experience with using GDSS. We conclude that adopting GDSS requires considerable and carefully planned change of processes that are deeply grounded in the organization. Existing meeting routines need to be adapted. Introduction needs to be carefully planned and room for face-to-face meetings and creativity sessions away from the keyboard need to be built in depending on the type of meeting. Not all companies find the cost level affordable. Clear and convincing business cases are lacking. Still the added value is ranked highly and there are frequent and enthusiastic user organizations that may lead the way for others. Their success stories show others how to mitigate problems

Modelling telecom fraud with e3value

Telecommunication services are complex product packages that rely on a large and complex technical infrastructure. However, fraudulent use of such telecommunication services rarely exploits hardware vulnerabilities. Instead, most common exploits operate at a business level, capitalizing on the unexpected interaction between various product packages from multiple providers. As such, an assumption was made that in order to fully describe the scenarios, a modelling language capable of describing value transactions between actors is required. In order to validate this assumption, a business value modelling language, e3value was selected, generic (non-misuse) business models were created and four misuse scenarios were modelled. This report showcases the models, discusses strengths and limitations encountered during modelling and draws conclusions with regard to the applicability, usability and utility of e3value models in modelling (Telecom) fraud as well as more generally in Risk Assessment