Abstract
A large amount of research on the development of decision-making support systems (DMSS) focuses on organizational issues, technical issues, or both kinds of issues at the same time. Whereas it is widely recognized that these two categories represent the dominant sources of issues that DSS builders had to overcome in the past, a third category, knowledge-management issues, gradually surfaces. Bolstered by advances in information technology in general, and artificial intelligence in particular, the field of knowledge management increases the number of development issues previously dealt with partly from an organizational perspective and partly from a technical perspective, but rarely as a perspective of its own. This chapter reviews nine DMSS development processes and methodologies according to their focus on organizational issues, technical issues, or both. It then proposes an innovative framework for the design and development of DMSS with particular attention on knowledge management issues and their relation with organizational and technical issues. It finally revisits two existing development processes according to this framework.
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