Longitudinal Author Cocitation Mapping: The Changing Structure of Decision Support Systems Research (1969–2012)

2016 ◽  
Author(s):  
Sean Eom
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Systems Research ◽  
Author Cocitation

The Changing Structure of Decision Support Systems Research

2010 ◽  
pp. 318-342
Author(s):  
Sean Eom
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Group Support Systems ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Model Management ◽  
Intellectual Structure ◽  
Research Areas ◽  
Systems Research

This chapter extends an earlier benchmark study (Sean B. Eom, 1995) which examined the intellectual structure, major themes, and reference disciplines of decision support systems (DSS) over the last two decades (1960-1990). Factor analysis of an author cocitation matrix over the period of 1990 through 1999 extracted 10 factors, representing 6 major areas of DSS research: group support systems, DSS design, model management, implementation, and multiple criteria decision support systems and five contributing disciplines: cognitive science, computer supported cooperative work, multiple criteria decision making, organizational science, and social psychology. We have highlighted several notable trends and developments in the DSS research areas over the 1990s.

The Intellectual Structure of Decision Support Systems Research (1969-1989)

2010 ◽  
pp. 284-317
Author(s):  
Sean Eom
Keyword(s):  
Cluster Analysis ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Optimal Number ◽  
Intellectual Structure ◽  
Dimensional Scaling ◽  
And Cluster Analysis ◽  
Author Cocitation ◽  
Multi Dimensional Scaling

This is the capstone chapter that shows how the concepts, tools, and techniques discussed in each of the previous chapters can be applied in conducting author cocitation analysis using a real data in the DSS area. The step-by-step procedures are shown in detail from the preparation of data file in Excel format and importing the file to the SAS system for multivariate statistical analysis. This chapter also guides the readers through the process of analyzing the results of principal components analysis, cluster analysis, and multi-dimensional scaling. The chapter also shows how to apply different criteria to select the optimal number of factor solutions, cluster solutions, and evaluating the acceptability of multi-dimensional scaling outputs. This chapter reports part of the intellectual structure of the DSS field by means of an empirical assessment of the DSS literature over the period 1969 through 1989. Three multivariate data analysis tools (factor analysis, multidimensional scaling, and cluster analysis) are applied to an author cocitation frequency matrix derived from a large database file of comprehensive DSS literature over the same period. Four informal clusters of decision support systems (DSS) research subspecialties and a reference discipline were uncovered. Four of these represent DSS research subspecialties—foundations, model/data management, user-interface/individual differences, and group support systems. One other conceptual grouping defines a reference discipline of DS—organizational science.

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