Graphical representations have played a central role in decision analysis. Although decision trees remain popular, more general graphical languages can be used to encode relationships among variables of a decision basis. Influence diagrams, introduced in the late 1970s, provide a general graphical representation for decision analysis. We publish, in this first of two volumes of a special issue ...

This paper presents a methodology for quantitative risk analysis for offshore installations, that incorporates both technical and operational conditions. The basic building blocks of the methodology are barrier block diagrams, event trees, fault trees, and influence diagrams. Barrier block diagrams are used to illustrate the event scenarios and the effect of barrier systems on the scenarios. Ev...

With the rapid influx of women in organizations, more specifically in the Indian context, “gender” becomes an important construct in the study of upward influence strategies, by which the member is able to influence the attitude, perceptions and behavior of the leader in a desired manner. In this study, we made an attempt to understand gender differences in terms of use of upward influence stra...

Giving useful recommendations to students to improve collaboration in a learning experience requires tracking and analyzing student team interactions, identifying the problems and the target student. Previously , we proposed an approach to track students and assess their collaboration, but it did not perform any decision analysis to choose a recommendation for the student. In this paper, we pro...

In decision modeling with influence diagrams, the most challenging task is probability elicitation from domain experts. It is usually very difficult for experts to directly assign precise probabilities to chance nodes. In this paper, we propose an approach to elicit probability effectively by using the concept of interval probability (IP). During the elicitation process, a group of experts assi...

In two experiments, we show how a consumer’s susceptibility to normative influence (SNI) offers useful insights into the effectiveness of two types of testimonials: a typical person endorsement (Study 1) and a celebrity endorsement (Study 2). Specifically, we suggest that two variables moderate testimonial effects—SNI and product attribute information. Results show that in forming their evaluat...

This document defines application service tags that allow service location without relying on rigid domain naming conventions, and DNS procedures for discovering servers that provide IEEE 802.21-defined Mobility Services. Such Mobility Services are used to assist a Mobile Node (MN) supporting IEEE 802.21, in handover preparation (network discovery) and handover decision (network selection). The...

There are often multiple explanations for someone’s behavior, but people generally find some behavior explanations more satisfying than others. We hypothesized that people prefer behavior explanations that are simple and rational. We present a computational account of behavior explanation that captures these two principles. Our computational account is based on decision networks. Decision netwo...

This study examines empirically the factors affecting the adoption and usage of broadband Internet in a developing country in this instance Bangladesh. This study is part of a wider research looking to explore consumer adoption of broadband services in various geographical and national settings. Thus, attitudinal, normative and control factors to provide insights of broadband adopters and non-a...