David L. Olson

David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor’s Professor at the University of Nebraska. He has published research in over 100 refereed journal articles, primarily on the topic of multiple objective decision-making and information technology. He has authored 17 books, is associate editor of Service Business and co-editor in chief of International Journal of Services Sciences. He has made over 100 presentations at international and national conferences on research topics. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, the Association for Information Systems, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.

Publications

Preface
Preface
David L. Olson. © 2012. 5 pages.
This Preface is included in the book Free and Open Source Enterprise Resource Planning: Systems and Strategies.
Human Effect of Knowledge Sharing: Cooperative Type and Reciprocity Level in Community of Practice
Human Effect of Knowledge Sharing: Cooperative Type and Reciprocity Level in Community of Practice
Jaekyung Kim, Sang M. Lee, David L. Olson. © 2008. 20 pages.
Knowledge sharing is important for organizational success. Once IT-driven KM approaches are proliferated, they sometimes fail to operate as expected. Social perspectives of KM...
A TOPSIS Data Mining Demonstration and Application to Credit Scoring
A TOPSIS Data Mining Demonstration and Application to Credit Scoring
Desheng Wu, David L. Olson. © 2008. 11 pages.
The technique for order preference by similarity to ideal solution (TOPSIS) is a technique that can consider any number of measures, seeking to identify solutions close to an...
A TOPSIS Data Mining Demonstration and Application to Credit Scoring
A TOPSIS Data Mining Demonstration and Application to Credit Scoring
Desheng Wu, David L. Olson. © 2006. 11 pages.
The technique for order preference by similarity to ideal solution (TOPSIS) is a technique that can consider any number of measures, seeking to identify solutions close to an...
Knowledge Sharing: Effects of Cooperative Type and Reciprocity Level
Knowledge Sharing: Effects of Cooperative Type and Reciprocity Level
Jaekyung Kim, Sang M. Lee, David L. Olson. © 2006. 16 pages.
Knowledge sharing is an important research area in knowledge management. This study broadens the perspective on knowledge sharing by investigating an individual’s behavior type...