Evaluating the Perception of the Decision Quality in Web-Based Group Decision Support Systems: A Theory of Satisfaction

The future and success of organizations depend greatly on the quality of every decision made. It is known that most of the decisions in organizations are made in group. With the purpose to support the decision-makers anytime and anywhere, Web-based Group Decision Support Systems have been studied. The amount of Web-based Group Decision Support Systems incorporating automatic negotiation mechanisms such as argumentation is increasing nowadays. Usually, these systems/models are evaluated through mathematical proofs, number of rounds or seconds to propose (reach) a solution. However, those techniques do not say much in terms of decision quality. Here, we propose a model to predict the decision-makers’ satisfaction (perception of the decision quality), specially designed to deal with multi-criteria problems. Our model considers aspects such as: alternatives comparison, style of behaviour, emotions, mood and expectations. The proposed formulation matches the assumptions previously defined in the literature.

[1]  Stina Matthiesen,et al.  Does Distance Still Matter? Revisiting the CSCW Fundamentals on Distributed Collaboration , 2014, TCHI.

[2]  Andrew Ortony,et al.  The Cognitive Structure of Emotions , 1988 .

[3]  H. V. Swann.  Decision Making in Organizations , 1985 .

[4]  Paulo Novais,et al.  Defining Agents' Behaviour for Negotiation Contexts , 2015, EPIA.

[5]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[6]  Souren Paul,et al.  User satisfaction with system,decision process,and outcome in GDSS based meeting: an experimental investigation , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[7]  Robert O. Briggs,et al.  A theory and measurement of meeting satisfaction , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[8]  Jonathan Grudin,et al.  Group dynamics and ubiquitous computing , 2002, CACM.

[9]  Gerardine DeSanctis,et al.  A foundation for the study of group decision support systems , 1987 .

[10]  G. Marreiros,et al.  Using satisfaction analysis to predict decision quality , 2015 .

[11]  Derek S. Pugh,et al.  Decision-Making in Organizations , 2018 .

[12]  Hylton Boothroyd.  Image Theory: Decision Making in Personal and Organizational Contexts. , 1990 .

[13]  E. Higgins.  Making a good decision: value from fit. , 2000, The American psychologist.

[14]  José Neves,et al.  Context-Aware Emotion-Based Model for Group Decision Making , 2010, IEEE Intelligent Systems.

[15]  Euiho Suh,et al.  UbiDSS: a proactive intelligent decision support system as an expert system deploying ubiquitous computing technologies , 2005, Expert Syst. Appl..

[16]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[17]  N. Iyadrahwa,et al.  Argumentation-based negotiation , 2004 .

[18]  Francisco Herrera,et al.  A web based consensus support system for group decision making problems and incomplete preferences , 2010, Inf. Sci..

[19]  Daniel Heller,et al.  Five-factor model of personality and job satisfaction: a meta-analysis. , 2002, The Journal of applied psychology.

[20]  M. Rahim,et al.  Confirmatory factor analysis of the styles of handling interpersonal conflict: first-order factor model and its invariance across groups. , 1995, The Journal of applied psychology.

[21]  Simon Buckingham Shum,et al.  Using Social Network Analysis to Support Collective Decision-Making Process , 2011, Int. J. Decis. Support Syst. Technol..

[22]  Barry J. Babin,et al.  The nature of satisfaction: An updated examination and analysis , 1998 .

[23]  Gerardine DeSanctis,et al.  Group decision support systems: a new frontier , 1984, DATB.

[24]  Veronica Liljander,et al.  Emotions in service satisfaction , 1997 .

[25]  Wenjun Hou,et al.  A study on the method of satisfaction measurement based on emotion space , 2008, 2008 9th International Conference on Computer-Aided Industrial Design and Conceptual Design.

[26]  A. Mehrabian.  Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament , 1996 .

[27]  Patrick Gebhard,et al.  ALMA: a layered model of affect , 2005, AAMAS '05.

[28]  Paulo Novais,et al.  A general template to configure multi-criteria problems in Ubiquitous GDSS , 2015 .

[29]  C. I. Hovland,et al.  Social Judgment: Assimilation and Contrast Effects in Communication and Attitude Change , 1981 .

[30]  Shigehiro Oishi,et al.  Personality and Life Satisfaction: A Facet-Level Analysis , 2004, Personality & social psychology bulletin.