7 research outputs found
Understanding decision quality through satisfaction
"PAAMS 2014 International Workshops, Salamanca, Spain, June 4-6, 2014. Proceedings"One of the most important factors to determine the success of an or-ganization is the quality of decisions made. In order to improve the decisions taken and to strengthen the competitiveness of organizations, systems such as Group Decision Support Systems (GDSSs) have been strongly developed and studied in recent decades. The amount of GDSSs incorporating automatic nego-tiation mechanisms, such as argumentation, is increasing nowadays. The evalu-ation of these mechanisms and the understanding of their real benefits for the organizations is still a hard challenge. In this article, we propose a model that allows a GDSS to measure the participant’s satisfaction with the decision, con-sidering aspects such as problem evaluation, personality, emotions and expecta-tions. This model is intended to enable the understanding of the decision’s qual-ity achieved with an argumentation system and to evaluate its capability to po-tentiate the decision’s quality. The proposed model validates all the assump-tions found in the literature regarding the participant’s satisfaction.This work is supported by FEDER Funds through the “Programa Operacional Fac-tores de Competitividade - COMPETE” program and by National Funds through FCT “Fundação para a Ciência e a Tecnologia” under the project: FCOMP-01-0124-FEDER-PEst-OE/EEI/UI0760/2011 and SFRH/BD/89697/2012
UbiGDSS: a theoretical model to predict decision-makers’ satisfaction
The market globalization and the firms’ internationalization hinder
the matching of the top managers’ agenda, making it difficult to meet in the
same space or time. On the one hand, the appearance of Ubiquitous Group Decision
Support Systems (UbiGDSS) enabled individuals to gather and make decisions
in different spaces at different times, but on the other hand, originated
problems related to the lack of human interaction. To understand how the arguments
used can influence each of the decision-makers, what is their satisfaction
regarding the decision made, and other affective issues such as emotions
and mood, are some examples of that lack. In order to try to overcome this lack,
we propose a theoretical model that is specially designed for agents, helping to
understand the interactions impact on each agent and their satisfaction with the
decision made.This work is supported by “GECAD strategic project”, “EKRUCAMI – EuropeKorea
Research on Ubiquitous Computing and Ambient Intelligence” and by National
Funds through FCT “Fundação para a Ciência e a Tecnologia” under the projects:
PEST-OE/EEI/UI0760/2014, 318878-FP7-PEOPLE and SFRH/BD/89697/2012 respectively.This work is supported by “GECAD strategic project”, “EKRUCAMI – EuropeKorea Research on Ubiquitous Computing and Ambient Intelligence” and by National Funds through FCT “Fundação para a Ciência e a Tecnologia” under the projects: PEST-OE/EEI/UI0760/2014, 318878-FP7-PEOPLE and SFRH/BD/89697/2012 respectively.info:eu-repo/semantics/publishedVersio
A general template to configure multi-criteria problems in Ubiquitous GDSS
The study of multi-criteria problems adapted to the context of Ubiquitous
Group Decision Support Systems (UbiGDSS) is covered in the literature
through very different perspectives and interests. There are scientific studies related
to the multi-criteria problems that lie across argumentation-based negotiation,
multi-agent systems, dialogues, etc. However, to perform most of these
studies, a high amount of information is required. The usage of so much data or
information that is difficult to collect or configure can bring good results in theoretical
scenarios but can be impossible to use in the real world. In order to
overcome these issues, we present in this paper a general template to configure
multi-criteria problems adapted for the contexts of UbiGDSS that intends to be
easy and fast to configure, appellative, intuitive, permits to collect a lot of data
and helps the decision-maker transmitting his beliefs and opinions to the system.
Our proposal includes three sections: Problem Data, Personal Configuration
and Problem Configuration. We have developed a prototype with our template
with the purpose to simulate the configuration of a multi-criteria problem.
We invited real decision-makers to use our prototype in a simulated scenario
and asked to them to fulfil a survey in the end in order to study our hypotheses.
Our general template achieved good results and proved to be very perceptible
and fast to configure.This work is part-funded by ERDF - European Regional Development Fund
through the COMPETE Programme (operational programme for competitiveness)
within project FCOMP-01-0124-FEDER-028980 (PTDC/EEISII/1386/2012) and by
National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese
Foundation for Science and Technology) with the João Carneiro PhD grant
with the reference SFRH/BD/89697/2012.info:eu-repo/semantics/publishedVersio
An approach for a negotiation model inspired on social networks
Supporting group decision-making in ubiquitous contexts is a complex
task that needs to deal with a large amount of factors to be successful. Here
we propose an approach for a negotiation model to support the group decisionmaking
process specially designed for ubiquitous contexts. We propose a new
look into this problematic, considering and defining strategies to deal with important
points such as the type of attributes in the multi-criteria problem and
agents' reasoning. Our model uses a social networking logic due to the type of
communication employed by the agents as well as to the type of relationships
they build as the interactions occur. Our approach intends to support the ubiquitous
group decision-making process in a similar way to the real process, which
simultaneously preserves the amount and quality of intelligence generated in
face-to-face meetings and is adapted to be used in a ubiquitous context.This work is part-funded by ERDF - European Regional Development Fund through
the COMPETE Programme (operational programme for competitiveness) and by
National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese
Foundation for Science and Technology) within project FCOMP-01-0124-
FEDER-028980 (PTDC/EEISII/1386/2012) and SFRH/BD/89697/2012.info:eu-repo/semantics/publishedVersio
Intelligent negotiation model for ubiquitous group decision scenarios
Supporting group decision-making in ubiquitous contexts is a complex task that must deal with a large amount of
factors to succeed. Here we propose an approach for an intelligent negotiation model to support the group decision-making process
specially designed for ubiquitous contexts. Our approach can be used by researchers that intend to include arguments, complex
algorithms and agents' modelling in a negotiation model. It uses a social networking logic due to the type of communication
employed by the agents and it intends to support the ubiquitous group decision-making process in a similar way to the real process,
which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings. We propose a new look
into this problematic by considering and defining strategies to deal with important points such as the type of attributes in the multicriteria
problems, agents' reasoning and intelligent dialogues.This work has been
supported by COMPETE Programme (operational
programme for competitiveness) within project
POCI-01-0145-FEDER-007043, by National Funds
through the FCT – Fundação para a Ciência e a
Tecnologia (Portuguese Foundation for Science and
Technology) within the Projects
UID/CEC/00319/2013, UID/EEA/00760/2013, and
the João Carneiro PhD grant with the reference
SFRH/BD/89697/2012 and by Project MANTIS -
Cyber Physical System Based Proactive Collaborative
Maintenance (ECSEL JU Grant nr. 662189).info:eu-repo/semantics/publishedVersio
Predicting final user satisfaction based on user experience data using machine learning
東京都立大学Tokyo Metropolitan University博士(工学)doctoral thesi
Inteligencia de negocios y su influencia en la calidad de toma de decisiones del personal de negocios de la CMAC Tacna S.A., en Tacna, 2019
La presente investigación se realizó con el fin de determinar en qué medida la inteligencia de negocios influye en la calidad de toma de decisiones del personal de negocios de la Caja Municipal de ahorro y crédito de Tacna. El tipo de investigación fue de tipo básica, el diseño: cuantitativo, observacional, analítico, transversal y prospectivo, teniendo un nivel de investigación explicativa-causal. La técnica usada para la recopilación de datos fue la encuesta, el instrumento se adaptó de (Visinescu, 2013) y se aplicó a la población conformada por la totalidad del personal de negocios en Tacna, que corresponde a 105 personas. En cuanto al tratamiento estadístico se recategorizaron las variables y dimensiones formando 3 niveles (Alto, Medio, Bajo). Los resultados demuestran que existe una influencia significativa de la calidad de información (34.6%), la experiencia del usuario (67.4%), el nivel de uso (33.2%) y la complejidad del espacio problemático (25.4%) en la Inteligencia de negocios, así mismo se afirma que la Inteligencia de Negocios explica en un 52.3% la calidad de toma de decisiones.Tesi