David L. Olson

dblp:07/4163 · DBLP profile ↗
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10ranked-venue papers in the field
1as first author
3since 2021 · last 2025
0000-0002-2835-1377ORCID · verified

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 9Data Mining & Knowledge Discovery · 1 (1 first)
YearPublicationVenuePosition
2025 An intelligent medical recommendation model based on big data-driven estimation of physician ability
David L. Olson
Inf. Sci.3
2025 A doctor recommendation model based on multidimensional feature extraction of doctors and patients from online medical platform
Minghui Qian, Mengchun Zhao, Meng Pan, Desheng Dash Wu, David L. Olson, Weiping Ding 0001
Inf. Sci.6
2023 An online-to-offline service recommendation method based on two-layer knowledge networks
Desheng Dash Wu, David L. Olson
Inf. Sci.4
2014 Business intelligence in risk management: Some recent progresses
Desheng Dash Wu, Shu-Heng Chen, David L. Olson
Inf. Sci.3
2013 Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach
Dexiang Wu, Desheng Dash Wu, David L. Olson
Inf. Sci.4
2007 How interfirm collaboration benefits IT innovation
Buraj Patrakosol, David L. Olson
Inf. Manag.2
2006 Knowledge Sharing: Effects of Cooperative Type and Reciprocity Level
abstract
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 as a cooperator, reciprocator, and free rider toward knowledge contribution. In this study, we view shared knowledge in a community of practice as a public good and adopt a theory of reciprocity to explain how different cooperative types affect knowledge contribution. In the perspective of shared knowledge as a public good, people may react in three ways: they share knowledge without need for reciprocity (cooperators), they feel obligated to share their knowledge (reciprocators), or they take knowledge for granted (free riders). Analytic and simulation results reveal that the fraction of cooperators is positively related to total knowledge contribution and to the reciprocity level, while the reciprocity level positively affects knowledge contribution.
Jaekyung Kim, Sang M. Lee, David L. Olson
Int. J. Knowl. Manag.3
2005 Decision Making with Uncertainty and Data Mining
David L. Olson, Desheng Dash Wu
ADMA1
2005 Infusion of Electronic Commerce into the Information Systems Curriculum
Helen M. Moshkovich, Alexander I. Mechitov, David L. Olson
J. Comput. Inf. Syst.3
2002 The Master's Degrees in E-Commerce: A Survey Study
Alexander I. Mechitov, Helen M. Moshkovich, David L. Olson
J. Comput. Inf. Syst.3