Shaokun Fan

Assistant Professor of Business Analytics, Dean's Fellowship in Excellence
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Office: (541) 737-6065

Austin Hall

Austin Hall 488

2751 SW Jefferson Way

2751 SW Jefferson Way
Corvallis, OR 97331
Credentials: 
Ph.D. Management Information Systems , University of Arizona, 2012
M.S. Computer Sciencen, Nanjing University, 2007
B.A. Physics, Nanjing University, 2004

Profile Field Tabs

At OSU
Affiliated with: 
College of Business
Research/Career Interests: 

Research areas: Business Analytics

Research interests: Data mining; Blockchain; Social media; Innovation management; Business process management 

Dr. Fan's research interests include data mining, blockchain and social media. Specifically, he seeks to develop novel data mining methods to analyze big data from blockchain and social media platforms, with the aim of helping people to make better business decisions. His research has been published in MIS Quarterly, Informs Journal on Computing, Research Policy, Decision Sciences, Decision Support Systems, Information and Management, and Electronic Commerce Research, among others. He currently serves as an Associate Editor at Electronic Commerce Research, Decision Support Systems, and Journal of Electronic Commerce Research.  He received several awards from the College of Business at OSU, including the Prominent Scholar Award (a College-wide research award) in 2017, 2020, and 2021, and the Betty and Forrest Simmons Excellence in Graduate Teaching Award in 2019.

Courses Taught: 

BA 370  Overview of Business Information Systems

BA 474/574  Data Management

BA 476/576  Data/Text Mining

Beyond OSU
Employment: 

Oregon State University, Assistant Professor  (September 16, 2016 - Present).

West Texas A&M University, Assistant Professor (September 2014 - June 2016).

City University of Hong Kong, Hong Kong, Senior Research Assistant, Part-time Lecturer (August 2012 - August 2014).

Professional Affiliations: 

INFORMS, Association for Information Systems (AIS)

Honors and Awards: 

College of Business Dean's Fellowship in Excellence (2021-Present).

Prominent Scholar, College of Business, Scholarship/Research (June 2021).

Prominent Scholar, College of Business, Scholarship/Research (June 2020).

Betty and Forrest Simmons Excellence in Graduate Teaching Award, College of Business (June 2019).

Prominent Scholar, College of Business, Scholarship/Research (June 2017).

Service: 

Decision Support Systems, Associate Editor  (September 2019 - Present).

Electronic Commerce Research,  Associate Editor  (August 10, 2015 - Present).

Journal of Electronic Commerce Research,  Associate Editor  (June 2014 - Present).

2021Workshop on e-Business (WEB), Program Chair. (May 2021 - Present).

2021 Business Analytics Symposium, Session Chair, Portland, OR. 

The Conference on Information Systems and Technology (CIST), Committee Member, Seattle, WA. (August 2019 - Present).

SIGBPS Workshop on Business Processes and Services, Track Organizer. (June 2017 - Present).

China Summer Workshop on Information Management (CSWIM), Committee Member. (January 2016 - Present).

2020 Pacific Asia Conference on Information Systems (PACIS), Committee Member. 

2020 Business Analytics Symposium, Session Chair, Portland, OR. 

2019 International Conference on Information Systems, Track Organizer. Associate editor for the analytics and data science track. 

2019 Dean’s Circle of Excellence, Guest Speaker, Portland, OR. 

2019 Pacific Asia Conference on Information Systems (PACIS), Committee Member. 

2016 SIGBPS Workshop on Business Processes and Services, Workshop Organizer. 

Biography

Shaokun Fan is an Assistant Professor in Business Analytics in the College of Business at Oregon State University. He earned his PhD in Management Information Systems from the Eller College of Business at the University of Arizona in 2012. He earned his bachelor’s degree in Physics, and his master’s degree in Computer Science from Nanjing university. His research interests include data mining, blockchain and social media. Specifically, he seeks to develop novel data mining methods to analyze big data from blockchain and social media platforms, with the aim of helping people to make better business decisions. His research has been published in MIS Quarterly, Informs Journal on Computing, Research Policy, Decision Sciences, Decision Support Systems, Information and Management, and Electronic Commerce Research, among others. He currently serves as an Associate Editor at Electronic Commerce Research, Decision Support Systems, and Journal of Electronic Commerce Research.  He received several awards from the College of Business at OSU, including the Prominent Scholar Award (a College-wide research award) in 2017, 2020, and 2021, and the Betty and Forrest Simmons Excellence in Graduate Teaching Award in 2019.

My Publications

Journal Articles


D. Wanchun, Chen, J., Fan, S., and Cheung, S. C., A context- and role-driven scientific workflow development pattern, Concurrency and Computation: Practice and Experience, vol. 20, no. 15, pp. 1741-1757, 2008.

Presentations


K. Zhang, Fan, S., and Wang, H., An Efficient Recommender System Using Locality Sensitive Hashing, Proceedings of the 51st Hawaii International Conference on System Sciences. Hawaii, 2018.

K. Zhang, Ouksel, A. M., Fan, S., and Liu, H., Scalable Audience Targeted Models for Brand Advertising on Social Networks, Proceedings of the 8th ACM Conference on Recommender systems. Foster City, CA, USA, 2014.

S. Fan, Sia, C. - L., and J. Zhao, L., Towards Collaboration Virtualization Theory, The Pacific Asia Conference on Information Systems (PACIS). Ho Chi Minh City, Vietnam, 2012.

S. Fan, Li, X., and J. Zhao, L., Collaboration Process Patterns and Efficiency of Issue Resolution in Software Development, 2012 International Conference on Collaboration Technologies and Systems (CTS). Denver, CO, USA, 2012.

Miscellaneous