Synthesizing decision analysis : a pattern language approach

Placeholder Show Content

Abstract/Contents

Abstract
A common problem for all applied fields is the practicality gap, which is the disconnect between academia and practice, and decision analysis is no exception. Two qualitative studies conducted with the members of the field led to three main conclusions. First, the practicality gap is there for decision analysis, and the gap is wide. Second, there is no common definition of what decision analysis is. Third, practitioners, despite knowing the art of application, have lost the wisdom of certain parts of the process. This dissertation proposes that a pattern language framework will be able to combine and capture explicit and tacit knowledge in the field in a format that is clear and shareable. To verify this claim, I developed a catalog of patterns and tested them in a case study with students of decision analysis. As part of this case study, a qualitative study was conducted for which interviews with students, materials they submitted as part of the exercise, and notes from and recording of their discussions were used as data sources. There were three findings from the case study. First, students stated that the catalog was a helpful guideline that combined all relevant knowledge and presented it in a package that provided them with how to apply decision analysis. Second, the patterns helped students apply the decision analysis processes in their projects successfully. Third, they were able to conduct a quality decision conversation, which helped decision-makers get to the clarity of action. In summary, this dissertation showed that it is possible for a pattern language for decision analysis to gather the collective wisdom of the practice by reviving the lost wisdom and demystifying the art of application. This language can be shared so that both students of decision analysis can apply what they learn and professionals can enrich their skill set.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Güven, Ahmet Önder
Degree supervisor Howard, Ronald A. (Ronald Arthur), 1934-
Thesis advisor Howard, Ronald A. (Ronald Arthur), 1934-
Thesis advisor Raha, Somik
Thesis advisor Shachter, Ross D
Degree committee member Raha, Somik
Degree committee member Shachter, Ross D
Associated with Stanford University, Department of Management Science and Engineering.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Ahmet Önder Güven.
Note Submitted to the Department of Management Science and Engineering.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Ahmet Onder Guven
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Also listed in

Loading usage metrics...