The Profile Distance Method: Towards More Intuitive Multiple Criteria Decision Making in Information Systems

This paper seeks to improve usability and semantics of complex decision support based on multiple criteria and data envelopment analysis using the profile distance method. We recognize the need of decision making practice for more intuitive and understandable decision support in complex and comprehensive settings by proposing three areas for improvement. We suggest a more meaningful indicator of organizational fit, an advanced and dynamic multi-dimensional visualization, and embed support for weight estimation with pairwise comparisons into the method. The methodological advancements are shortly illustrated for an Information System selection problem.