Dr. Jan Kietzmann

Professor

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Biography

Jan Kietzmann received his PhD in 2007 from the London School of Economics. He has spent 12 years at the Beedie School of Business at Simon Fraser University before joining the Gustavson School of Business at the University of Victoria in 2018. As a professor specializing in innovation and information systems, Jan's research interests are driven by organizational social perspectives associated with emerging technologies. His current research focuses on areas such as artificial intelligence, crowdsourcing, user-generated content, and gamification within sharing economies. Jan is also recognized for his award-winning article published in 2011, which emphasizes the implications of functional building blocks. A passionate educator, he strives to integrate emerging technological innovations into both graduate and undergraduate courses in innovation and information systems. Outside of academia, Jan enjoys spending time with family, playing disc golf, and exploring British Columbia.

Research Interests

Experience

Professor

2018-01-01 — Present

Gustavson School of Business • Victoria, BC

Professor specializing in innovation and information systems.

Faculty Member

2006-01-01 — 2018-01-01

Beedie School of Business • Simon Fraser University

Contributed to various research initiatives and taught courses related to business.

Awards

#

Hawaiian International Conference on Systems Science

2019-12-18
#

Business Horizons Associate Editor

2019-09-01
#

Gustavson Executive Program Research Grant

2019-04-01
#

Advanced Practices Council for Information Management

2019-04-01

Requirements for University of Victoria

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
GRE General
Verbal
Required:130
Quantitative
Required:130
Analytical Writing
Required:0
Overall
Required:0
Prerequisites
BSc in Computer Science, Software Engineering or equivalent Background in Mathematics with emphasis on Computer Science
Application Checklist
  • Statement of Intent
  • Professional CV
  • Two assessment reports
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Science. GRE is highly recommended for international students.