H. Dharma Kwon

H. Dharma Kwon

Associate Professor of Business Administration and Robert and Karen May Faculty Fellow

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Contact

191 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-333-3522

dhkwon@illinois.edu

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Educational Background

  • Ph.D., Management, Operations Research, University of California at Los Angeles, 2008
  • B.S., Magna Cum Laude, Physics, Korea Adv. Inst. of Science & Tech KAIST, 1991

Positions Held

  • Visiting Scholar, Northwestern University, 2018-2019
  • Associate Professor of Business Administration, University of Illinois at Urbana-Champaign, 2016 to present
  • Assistant Professor of Business Administration, University of Illinois at Urbana-Champaign, 2008-2016

Recent Publications

  • Kwon, H. Forthcoming. Game of Variable Contributions to the Common Good under Uncertainty. Operations Research.  link >
  • Kwon, H., & Yoo, O. (2017). Retention of capable new employees under uncertainty: Impact of strategic interactions. IISE Transactions, 49 (10), 927-941.

Other Publications

Articles

  • Agrawal, A., Kim, Y., Kwon, H., & Muthulingam, S. (2016). Investment in Shared Suppliers: Effect of Learning, Spillover, and Competition. Production and Operations Management, 25 (4), 736-750.  link >
  • Kwon, H., Xu, W., Agrawal, A., & Muthulingam, S. (2016). Impact of Bayesian Learning and Externalities on Strategic Investment. Management Science, 62 (2), 550 - 570.  link >
  • Kwon, H., & Zhang, H. (2015). Game of Singular Stochastic Control and Strategic Exit. Mathematics of Operations Research, 40 (4), 869 - 887.
  • Kwon, H. (2014). Preventing Catastrophic Failures with Weak Forewarning Signals. Probability in the Engineering and Informational Sciences, 28 (1), 121–144.
  • Cho, W., Shaw, M., & Kwon, H. (2013). The effect of synergy enhancement on information technology portfolio selection. Information Technology and Management, 14 (2), 125-142.  link >
  • Kwon, H., Lippman, S., & Tang, C. (2012). Optimal Markdown Pricing Strategy with Demand Learning. Probability in the Engineering and Informational Sciences, 26 (01), 77-104.
  • Kwon, H., Lippman, S., & Tang, C. (2011). Sourcing Decisions of Project Tasks with Exponential Completion Times: Impact on Operating Profits. International Journal of Production Economics, 134 (1), 138-150.
  • Kwon, H., & Lippman, S. (2011). Acquisition of Project-Specific Assets with Bayesian Updating. Operations Research, 59 (5), 1119–1130.
  • Kwon, H., Lippman, S., McCardle, K., & Tang, C. (2010). Project Management Contracts with Delayed Payments. Manufacturing & Service Operations Management, 12 (4), 692-707.
  • Kwon, H. (2010). Invest or Exit? Optimal Decisions in the Face of a Declining Profit Stream. Operations Research, 58 (3), 638-649.
  • Kwon, H., Lippman, S., & Tang, C. (2010). Optimal Time-Based and Cost-Based Coordinated Project Contracts with Unobservable Work Rates. International Journal of Production Economics, 126 247–254.

Presentations

  • Kim, Y., Kwon, H., Agrawal, A., & Muthulingam, S. (2015). Investment In Shared Supplier Under Spillover, Uncertainty, And Competition. INFORMS Annual Meeting.
  • Xu, W., Kwon, H., & Grahovac, J. (2015). The Impact of Spillover In R and D Competition. INFORMS Annual Meeting.
  • Xu, W., Kwon, H., Agrawal, A., & Muthulingam, S. (2015). Impact of Bayesian Learning and Externalities on Strategic Investment. INFORMS Annual Meeting.
  • Kim, Y., & Kwon, H. (2014). Stochastic Dynamic Game of Principal-Agent under Asymmetric Information with Unobservable Action. INFORMS Annual Meeting.
  • Kwon, H., & Lippman, S. (2014). Sequential Replacement under Incomplete Information and the Impact of Uncertainty in the Population Distribution. Advances in Decision Analysis.
  • Kwon, H., & Lippman, S. (2014). Sequential Replacement under Uncertainty in the Population Distribution. SIAM Conference on Financial Mathematics and Engineering.
  • Kwon, H., & Lippman, S. (2014). Sequential Replacement under Uncertainty in the Population Distribution. INFORMS Annual Meeting.
  • Kwon, H., & Zhang, H. (2013). Competitive Control of Market Goodwill and Strategic Exit. Joint Mathematics Meetings.
  • Sun, Z., Abbas, A., & Kwon, H. (2013). Continuous-time Risk-adjusted Martingales. INFORMS Annual Meeting.
  • Kwon, H. (2012). Optimal Stopping to Prevent a Catastrophic Event. INFORMS Annual Meeting.
  • Kwon, H. (2012). Risk-Sensitive Real Options Decisions. INFORMS Annual Meeting.
  • Kwon, H., & Yoo, O. (2012). Employee Retention Strategies of Entrepreneurial Firms under Uncertainty in Employee Capability. INFORMS Annual Meeting.
  • Kwon, H., & Zhang, H. (2012). Competitive Control of Market Goodwill and Strategic Exit. INFORMS Annual Meeting.
  • Kwon, H., Xu, W., Agrawal, A., & Muthulingam, S. (2012). Strategic Investment under Spillovers and Information Externalities. INFORMS Annual Meeting.
  • Kwon, H. (2012). Strategic Investment Under Complementarities and Information Externalities. University of Illinois IMSE.
  • Kwon, H. (2012). Preventing Rare Catastrophic Business Failure with Weak Forewarning Signals. International Workshop on Applied Probability.
  • Kwon, H., Agrawal, A., & Muthulingam, S. (2011). A game of investment in suppliers with spillover effects. International Workshop in Sequential Methodologies.
  • Kwon, H., Agrawal, A., & Muthulingam, S. (2011). A game of investment in suppliers with spillover effects. INFORMS Annual Meeting.
  • Kwon, H. (2010). Sequential Replacement Decisions under incomplete information. INFORMS Annual Meeting.
  • Kwon, H., & Lippman, S. (2010). Acquisition of Project-specific Assets with Bayesian Updating. INFORMS Annual Meeting.
  • Kwon, H., & Lippman, S. (2009). Acquisition of Project-Specific Assets with Bayesian Updating. University of Illinois at Urbana-Champaign.
  • Kwon, H. (2009). Invest or Exit? Optimal Decisions in the Face of a Declining Profit Stream. INFORMS Applied Probability Society Conference.
  • Kwon, H., & Lippman, S. (2009). Acquisition of Project-Specific Assets with Bayesian Updating. INFORMS International Meeting.
  • Kwon, H., & Lippman, S. (2009). Acquisition of Project-Specific Assets with Bayesian Updating. INFORMS Annual Meeting.
  • Kwon, H., Lippman, S., & Tang, C. (2008). Optimal Markdown Pricing Strategy with Demand Learning. INFORMS Annual Meeting.
  • Kwon, H. (2008). Invest or Exit? Optimal Decisions in the Face of a Declining Profit Stream. MSOM Conference.

Working Papers

  • Agrawal, A., Kim, Y., & Kwon, H. Strategic Investment in Shared Suppliers with Quality Deterioration.
  • Georgiadis, G., Kim, Y., & Kwon, H. Equilibrium Selection in the War of Attrition under Complete Information.  link >
  • Grahovac, J., Kwon, H., & Xu, W. R&D Races as Strategic Factor Markets.

Honors and Awards

  • Robert and Karen May Faculty Fellow, University of Illinois at Urbana-Champaign, 2018 to present
  • Excellent Teacher, University of Illinois at Urbana-Champaign, 2014-2018

Service

  • Associate Editor, Decision Analysis, 2020 to present
  • Associate Editor, Management Science, 2018 to present
  • Member of the Editorial Board, Decision Analysis, 2011 to present

Teaching Interests

Business analytics for decision making

Research Interests

Game Theory: free-rider problems; stochastic dynamic games

Decision Analysis and operations research: Bayesian sequential decisions; real options; stochastic dynamic games

Technology Management: technology adoption; R&D management

Current Courses

  • Management Decision Models (BADM 374) Introduction to methods of operations research from an executive or managerial viewpoint, emphasizing formulation of business problems in quantitative terms; industrial applications of linear programming, dynamic programming, game theory, probability theory, queuing theory, and inventory theory.
  • Stat for Mgt Decision Making (BADM 572) The application of classical and modern statistics for business decision making. The level of the course assumes some prior knowledge of basic statistics as well as facility with elementary calculus.
  • Simulation and Risk Analysis (BADM 574) This course provides quantitative tools for solution of management problems involving risk, competing objectives, and complex constraints. The course will provide hands-on experience with techniques for solving these problems, with a particular emphasis on models and methods that enable managers to proactively manage and mitigate risk, obtain insight, and support decision making. Models are illustrated with applications to operations management, finance, and marketing, with a particular emphasis on issues associated with project portfolio management. Hands-on modeling skills are developed using spreadsheet-based software tools. We will consider challenges that executives and organizations encounter when implementing these approaches, and demonstrate how mathematical models can improve on "seat of the pants" methods.
  • Stats for Decision Analytics (MBA 501) Provides foundations in the form of principles, concepts, tools, and skills important both to the study of business and to the development of business acumen. Specific foundation topics include planning and measuring firm resources, economic theory of the firm, decision making under uncertainty, consumer behavior, financial management, business communication and computing. May be repeated in the same term. Credit is not given for MBA 501 and either ACCY 500, BADM 520, BADM 572, or ECON 567.

Contact

191 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-333-3522

dhkwon@illinois.edu

Vita

SSRN

SCOPUS

Homepage

Google Scholar