ValueDecisions, a web app to support decisions with conflicting objectives, multiple stakeholders, and uncertainty

Stakeholders’ Influence on Product Design Decisions with Exogenous Uncertainty

This study examines how stakeholders exert an influence on product design decisions in the presence of exogenous uncertainty. Hitherto, research has traditionally viewed firms as one entity, and has prescribed an “optimal” product design decision at firm level. Inspired by field studies at Nokia and Philips, our research seeks to open the “black box” of R&D organizations by comparing design out...

a comparison of teachers and supervisors, with respect to teacher efficacy and reflection

supervisors play an undeniable role in training teachers, before starting their professional experience by preparing them, at the initial years of their teaching by checking their work within the proper framework, and later on during their teaching by assessing their progress. but surprisingly, exploring their attributes, professional demands, and qualifications has remained a neglected theme i...

Multiple Objectives Satisficing Under Uncertainty

We propose a class of functions, called multiple objective satisficing (MOS) criteria, for evaluating the level of compliance of a set of objectives in meeting their targets collectively under uncertainty. The MOS criteria include the targets’ achievement probability (success probability criterion) as a special case and also extend to situations when the probability distribution is not fully ch...

Unveiling Innovative Design Principles By Means of Multiple Conflicting Objectives

From Intentions to Decisions: Understanding Stakeholders' Objectives in Software Product Line Configuration

Software Product Line (SPL) engineering promotes the systematic and large-scale reuse of design and implementation artifacts. Feature models are one of the main artefact of SPLE approach which essentially characterize the similar and variant functional and operational specifications of the product family. Given the complexity of the variabilities represented by feature models, it is often hard ...