Sung Kim

Sung Kim

Assistant Professor of Business Administration

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Contact

191 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-300-2793

swk@illinois.edu

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Educational Background

  • Ph.D., Business Administration (Information Systems), University of Oklahoma, 2014
  • M.A./M.S., Economics/Statistics, California State University at East Bay, 2006
  • M.S., Information Technology Management, Stevens Institute of Technology, 2001
  • B.A., Philosophy, Oberlin College, 1989
  • A.S., Computer Science, Boston University, 1987

Positions Held

  • Lecturer of Business Administration, Business Administration, University of Illinois, 2013-2014
  • Assistant Professor of Business Administration, Business Administration, University of Illinois, 2013 to present
  • Founder, Peak Technology Solutions, 2000-2001

Recent Publications

  • Kim, S. Forthcoming. Understanding the Role of Online Impression Management in Executive Career Success. Behavioral & Information Technology,.

Other Publications

Conference Proceeding

  • Kim, S., & Miranda, S. Forthcoming. A Call to Arms: A Social Movements Perspective on 'Issue' Surfacing in Social Media. Academy of Management Best Paper Proceedings.
  • Kim, S., & Miranda, S. Forthcoming. Seeds of Change: Substance and Influence in Brand Communities. 32nd International Conference on Information Systems, Shanghai, China.
  • Haran, V., & Kim, S. (2016). Persistence of Ineffectual User Innovation: Tweaking on Babycenter International Conference of Information Systems.
  • Pamuksuz, U., Kim, S., & Subramanyam, R. (2016). Who is my audience? Investigating stakeholder collapse in online social platforms. ( vol. 258, pp. 78-82). 15th Workshop on e-Business, WeB 2016.
  • Pamuksuz, U., Kim, S., & Subramanyam, R. (2014). Leveraging Social Networking Sites for Executive Success. Americas Conference on Information Systems.

Presentation

  • Pamuksuz, U., Kim, S., & Subramanyam, R. (2014). Leveraging Social Networking Sites for Executive Success. Americas Conference on Information Systems.
  • Kim, S. (2012). A Longitudinal View of the Stop Online Piracy Act. Big XII Plus MIS.
  • Kim, S. (2010). Grassroots Power: How SourceForge Developers Elicit Change from Geeknet, Inc Big XII Plus MIS Conference.
  • Kim, S., & Miranda, S. (2010). A Call to Arms: A Social Movements Perspective on ‘Issue’ Surfacing in Social Media. JAIS Theory Development Workshop held in conjunction with the International Conference on Informati.
  • Kim, S., & Miranda, S. (2010). A Call to Arms: A Social Movements Perspective on ‘Issue’ Surfacing in Social Media. JAIS Theory Development Workshop held in conjunction with the International Conference on Informati.
  • Kim, S. (2009). Investment under Uncertainty: Net Present Value, Real Options Theory and Risk Aversion and Firm Performance. Big XII Plus MIS Conference.

Working Paper

  • Pamuksuz, U., & Kim, S. (2017). Understanding the Role of Online Impression Management in Executive Career Success.

Services

  • Program Committee Member, INFORMS Conference on Information Systems and Technology (CIST), 2016-2017

Current Courses

  • Data Science and Analytics (BADM 356) In this course, you will learn not only data analytic techniques but also the managerial implications of competing with analytics. You will understand the managerial challenges of using data analytics to develop a strategic advantage through readings and case studies. You will learn techniques such as statistical inference, linear modeling, sentiment analytics, and data mining through hands-on exercises in R. R is an open source language that has grown in importance and usage in corporations. Finally, you will be able to present and interpret data through an understanding of data visualization techniques.
  • Data Science & Analytics (BADM 395) Research and readings course for students majoring in business administration. May be taken by students in the college honors program in partial fulfillment of the honors requirements. May be repeated if topics vary. Not applicable to graduate or professional hours.
  • Data Science and Analytics (BADM 576) In this course, you will learn not only data analytic techniques but also the managerial implications of competing with analytics. You will understand the managerial challenges of using data analytics to develop a strategic advantage through readings and case studies. You will learn techniques such as statistical inference, linear modeling, sentiment analytics, and data mining through hands-on exercises in R. R is an open source language that has grown in importance and usage in corporations. Finally, you will be able to present and interpret data through an understanding of data visualization techniques. 4 graduate hours. No professional credit.
  • Proseminar in Mgmt Science (BADM 591) Lectures in topics of current interest not covered by regular course offerings. Subjects are announced in the Class Schedule. Approved for letter and S/U grading. May be repeated in the same term and/or separate terms as topics vary; unlimited credit hours for graduate and professional students.

Contact

191 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-300-2793

swk@illinois.edu

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