Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
The decision-making paradigm of organizational design
Management Science
Executive support systems: the emergence of top management computer use
Executive support systems: the emergence of top management computer use
Unifying the fragmented models of information systems implementation
Critical issues in information systems research
The rise of the expert company
The rise of the expert company
AI Expert
A review of barriers to expert system diffusion
SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
Factors critical to the success of executive information systems in British Airways
European Journal of Information Systems
Artificial intelligence (2nd ed.): structures and strategies for complex problem-solving
Artificial intelligence (2nd ed.): structures and strategies for complex problem-solving
A social process model of user-analyst relationships
MIS Quarterly
Controlling the introduction of strategic information technologies
Management impacts of information technology
Expert systems for business and management
Expert systems for business and management
Executive information systems: emergence, development, impact
Executive information systems: emergence, development, impact
The implementation of expert systems: a survey of successful implementations
ACM SIGMIS Database
DSS theory: a model of constructs and relationships
Decision Support Systems
Decision support and expert systems (4th ed.): management support systems
Decision support and expert systems (4th ed.): management support systems
Early expert systems: where are they now?
MIS Quarterly
Determinants of EIS use: testing a behavioral model
Decision Support Systems - Special issue on executive information systems
What does it take for successful executive information systems?
Decision Support Systems - Special issue on executive information systems
An experimental investigation of factors influencing predicted success in DSS implementation
Information and Management
Information technology innovations: a classification by IT locus of impact and research approach
ACM SIGMIS Database - Special double issue: diffusion of technological innovation
Determinates of EIS acceptance
Information and Management
Integrated MSS effects: an empirical health care investigation
Information Processing and Management: an International Journal
An experience in process assessment
Proceedings of the 17th international conference on Software engineering
The 3-D model of information systems success: the search for the dependent variable continues
Information Resources Management Journal - Special issue: information systems success measurement
Non-technological issues in software engineering
ICSE '91 Proceedings of the 13th international conference on Software engineering
Critical issues in abandoned information systems development projects
Communications of the ACM
Decision support systems in the twenty-first century
Decision support systems in the twenty-first century
Proceedings of the Conference on The Future of Software Engineering
Technology transfer macro-process: a practical guide for the effective introduction of technology
Proceedings of the 22nd international conference on Software engineering
Intelligent Information Systems: Meeting the Challenge of the Knowledge Era
Intelligent Information Systems: Meeting the Challenge of the Knowledge Era
Building Effective Decision Support Systems
Building Effective Decision Support Systems
The Illusory Diffusion of Innovation: An Examination of Assimilation Gaps
Information Systems Research
Critical reflections on information systems
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The implementation process of Decision-Making Support Systems (DMSS) is a highly complex process. Frequent implementation failures have caused the number of DMSS installed and adequately used to be far less than expected. The Theory of Factors and the Theory of Stages have been used to study this problem. Both approaches have generated a rich picture about key DMSS implementation issues. However, this knowledge is fragemented and disperse, offering only partial and reduced views and finding about strategies, tactics and operational processes to avoid failures in DMSS implementations. In this chapter, we organize the previous work into a unified and complete picture of the phenomenon. First, we examine the nature of the implementation problem from these research perspectives. Secondly, we continue with a conceptual analysis of the theoretical foundations of the Factor-based and Stage-based approaches. In this analysis we discuss the main models posed in both approaches and synthesize their findings. Then, their contributions and limitations are discussed and the Systems Approach is suggested as a research methodology to alleviate the difficulties. Finally, conclusions and directions for further research are presented.