Business Analytics

Shaokun Fan

Associate Professor of Business Analytics
fans@oregonstate.edu

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 managementÌý

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 atÌýElectronic Commerce Research, Decision Support Systems, and Journal of Electronic Commerce Research.Ìý 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 370Ìý Overview of Business Information Systems

BA 474/574Ìý Data Management

BA 476/576Ìý Data/Text Mining

Beyond OSU
Employment: 

91ÆÞÓÑ, Associate ProfessorÌý (September 16, 2022 - Present).

91ÆÞÓÑ, Assistant ProfessorÌý (September 16, 2016 - June 2022).

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

City University of Hong Kong, Hong Kong, Senior Research Assistant, Part-time LecturerÌý(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 EditorÌý (September 2019 - Present).

Electronic Commerce Research, ÌýAssociate EditorÌý (August 10, 2015 - Present).

Journal of Electronic Commerce Research, ÌýAssociate EditorÌý (June 2014 - Present).

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

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

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.Ìý

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

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

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

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

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

Biography

Shaokun Fan is an Associate Professor in Business Analytics in the College of Business at 91ÆÞÓÑ. 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 atÌýElectronic Commerce Research, Decision Support Systems, and Journal of Electronic Commerce Research.Ìý 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

I currently have no publications listed within this site.