rapidly increasing urbanization in the world, especially in developing countries, let to increasing urban extents. rapid urban growth causes to appearance many problems such as wasting environmental resources, inability of providing necessary services for citizens and unplanned growth. urban mangers and planners need tools for understanding amount and size of future urban growths to prevent the...

Choosing a proper external risk measure is of great regulatory importance, as exemplified in the Basel II and Basel III Accords, which use value-at-risk with scenario analysis as the risk measures for setting capital requirements. We argue that a good external risk measure should be robust with respect to model misspecification and small changes in the data. A new class of data-based risk measu...

This paper provides overviews of two major concepts and methodologies --Scenario Planning (SP) from Strategic Management and Real Options Analysis (ROA) from Finance. The paper draws on the KUU (Known, Unknown, and Unknowable) framework to demonstrate the commonalities and differences among these two approaches and calls for their synergistic use.

The Strategic and Competitive Information Systems m ini-track showcases promising, current work on the impact of information systems on business strategy and competitive performance. The m ini-track addresses both broad societal impacts of information technology as well as firm-level competitive implications. The papers within the m iuitrack use a variety of research methodologies, including fo...

Scenarios are widely used to specify the desired behavior of a system, but managing the large collection of scenarios that frequently result and making a scenario-based specification complete are challenging tasks. Scenario networks address these challenges while retaining the many advantages of scenarios during software specification activities. A scenario network is a collection of scenarios ...

The call for more effective integration of science and decision making is ubiquitous in environmental management. While scientists often complain that their input is ignored by decision makers, the latter have also expressed dissatisfaction that critical information for their decision making is often not readily available or accessible to them, or not presented in a usable form. It has been sug...

Risks and losses arising from system failure, unauthorized activity, fraud and other operational errors are postulated to be one of the primary banking risks. Expert-based scenario analysis aims at describing the frequency and severity of extreme operational losses. Experts are not exact in predicting quantitative estimates for a distant future. The predicted scenarios are described by range es...

Nowadays, implementing collaboration strategies between the members of the supply chain has been an important research topic to obtain a more reactive and flexible supply chain in the highly competitive markets. However, few studies have been done on the impact of such collaboration strategies at one of the lower short-term decision levels: production scheduling. This article is devoted to the ...

Though traditional DSS provide strong data management, modelling and visualisation capabilities for the decision maker, they do not explicitly support scenario management appropriately. Systems that purport to support scenario planning are complex and difficult to use and do not fully support all phases of scenario management. This research presents a life cycle approach for scenario management...

Traditional Decision Support Systems (DSS) provide strong data management, modelling and visualisation capabilities for the decision maker but they do not explicitly support scenario management appropriately. Systems that purport to support scenario planning are complex and difficult to use and do not fully support all phases of scenario management. We introduce scenario as a core component of ...