Tacit knowledge plays an important role in decision making that is why, in this paper, we introduce a new approach based on tacit knowledge for decision process. Our approach is based on a practical case study in the field of second hand vehicle purchase. This paper proposes ideas and research issues on how to tackle tacit knowledge for decision process with cost-benefit and multicriteria analy...

In domains (such as digital TV, smart home, and tangible interfaces) that represent new paradigms of interactivity, deciding the most appropriate interaction design solution is a challenge. There is not yet any work that explores how to consider the users’ experience with technology to analyze the best solution(s) to the interaction design of a mobile TV application. In this study we applied us...

Over the past decades the complexity of financial decisions has increased rapidly, thus highlighting the importance of developing and implementing sophisticated and efficient quantitative analysis techniques for supporting and aiding financial decision making. Multicriteria decision aid (MCDA), an advanced branch of operations research, provides financial decision makers and analysts with a wid...

Cloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand. Therefore, service provisioning plays a key role in CC. The cloud customer must be able to select...

Environmental decision making typically concerns several stakeholders with conflicting views. Multicriteria decision analysis provides transparent ways to elicit and communicate individual preferences. When the stakeholders clearly understand each other’s views, a consensus can be reached more easily. Computer software provide a substantial enhancement to support participatory decision making p...

Multicriteria Portfolio Analysis spans several methods which typically employ build on MCDA to guide the selection of a subset (i.e., portfolio) of available objects, with the aim of maximising the performance of the resulting portfolio with regard to multiple criteria, subject to the requirement that the selected portfolio does not consume of resources consumed by the portfolio does not exceed...

In this paper the Analytic Network Process (ANP) is applied to the selection of photovoltaic (PV) solar power projects. These projects follow a long management and execution process from plant site selection to plant start-up. As a consequence, there are many risks of time delays and even of project stoppage. In the case study presented in this paper a top manager of an important Spanish compan...