Faculty
Ping-Hung Hsieh
Professor
Supply Chain Logistics Management

Ping-Hung Hsieh

541-737-6060

ping-hung.hsieh@bus.oregonstate.edu

Faculty
Ping-Hung Hsieh
Overview
Overview
Background
Publications

Overview

Credentials

Ph.D. Statistics and Management Science (May 1997) School of Business Administration, University of Michigan, Ann Arbor, Michigan

Career Interests

Ping-Hung ("Ping") Hsieh is Professor of Quantitative Methods in the College of Business. His research interests include the fields of extreme value analysis and Bayesian modeling with application to risk management and strategic planning.

Background

Experience

  • Discipline Director of Business Core, Oregon State University (September 2011 - present)
  • Associate Professor, College of Business, Oregon State University (9/03 – present)
  • Assistant Professor, College of Business, Oregon State University (1/98 - 9/03)
  • Acting Assistant Professor, College of Business, Oregon State University (9/97 - 1/98)
  • Instructor, School of Business, Bowling Green State University, Ohio (9/96 - 8/97)
  • Teaching Assistant, School of Business Administration, University of Michigan (1/96 - 4/96)
  • Research Assistant, School of Business Administration, University of Michigan (9/93 - 12/95)
  • Financial Analyst, Shin-Kong Life Insurance, Taipei, Taiwan (7/92 - 8/93)
  • Graduate Teaching Assistant, Department of Statistics, University of Michigan (1/88 - 5/90)

Professional Affiliations

Member of the American Statistical Association

Member of the Institute of Mathematical Statistics

Member of the International Chinese Statistical Association

Service

PROFESSIONAL SERVICE

  • Reviewer, Journal of Managerial Finance, May 2011
  • Panel Reviewer, National Science Foundation, April 2010
  • Review Board, The Open Statistics & Probability Journal, 2008 –
  • Ad Hoc Reviewer, IEEE Transactions on Engineering Management, 2008 –
  • Member, the Loss Simulation Model Working Group, Society of Actuaries, 2006
  • Ad Hoc Reviewer, Statistical Methodology, 2005 –
  • Session Chair, National Joint Statistical Meetings, American Statistical Association, August 2004
  • Review Board, Journal of Business Disciplines, 2003 –
  • Session Chair, National Joint Statistical Meetings, American Statistical Association, August 2003
  • Ad Hoc Reviewer, International Conference on Robust Statistics, July 2003
  • Ad Hoc Reviewer, Journal of Business & Economic Statistics, 1995

UNIVERSITY SERVICE

  • University Committee Appointments

Research Council, 2010 – 2012 
University Council on Student Engagement and Experience, 2006
Faculty Senate, 2004 – 2005, 2010
Faculty Recognition and Awards Committee, 2004 – 2005 

  • College of Business Committee Appointments

Member, Strategic Planning Task force, January 2012 – 
Director, Business Core Group, September 2011 – August 2012
Participant, Leadership Academy, October 2011
Presenter at the COB fall retreat about the findings on intercultural communication, September 2009
Participant, Summer Institute for Intercultural Communication, August 2009
Member, SRTIF Review Committee, 2009
Chair, Peer Review of Teaching Committee (appointed), 2003 – 2004, 2008 – 2009, 2010 – 2011.
Chair, Research Excellence Workgroup, 2006
Member, Research Excellence Workgroup, 2005
Member, Promotion and Tenure Committee, 2003 – 2004, 2005 – 2006
Member, Undergraduate Program Committee (elected), 2000 – 2002
Member, Newcomb Scholarship Committee, 2000
Member, Peer Review of Teaching Committee (appointed), 1999 – 2000,  2002 – 2003
Member, Affirmative Action Committee, 1997 – 1999

  • Search Committees

Chair, Quantitative Methods Search Committee for a tenure-track position, 2011
Operations Management Search Committee for a tenure-track position, 2006
College of Business Dean Search Committee, 2000 – 2003
Operations Management Search Committee for a tenure-track position, 2002
Operations Management/Statistics Search Committee for a tenure-track position, 1999
Operations Management/Statistics Search Committee for a visiting position, 1998

  • Student Recruitment

INTO Presentation, Taiwan, August 2010
Presented a 2-hour introduction on U.S. business schools to about 200 perspective MBA students in Taiwan, July 2000.
Assisted the Admission and Orientation Office and English Language Institute at Oregon State University in recruiting Taiwanese students.  Translated meeting announcements and University description into Chinese.  Distributed the information to various bulletin boards in Taiwan.  Visited Oregon Trade and Information Center in Taiwan to acquire information for recruiting students, summer 1998 and 1999.

Honors & Awards

  • Betty and Forrest Simmons Excellence in Graduate Teaching Award, College of Business, Oregon State University, 2010 – 2011
  • The Outstanding UHC Faculty Member of the Year, University Honors College, 2010 - 2011
  • Teaching Excellence Award, Oregon Executive MBA program 2006
  • Society of Actuaries, Individual Grants Competition, “Extreme Value Analysis for Partitioned Insurance Losses,” 2006.  Amount awarded $17,000.
  • Vivian Bales Research Fellowship, College of Business, Oregon State University, 2000, 2001, 2003,  2004, 2005, 2006, 2008, 2009.
  • Distinguished Research Award, "When Online Recruiting is a Jurisdictional Hook: How Using Interactive Web Technology Gets E-Business Sued in Distant Courts," (co-author: Nancy J. King), Allied Academics, April, 2003.
  • Austin Family Business Research Fellowship in Family Business & Entrepreneurship, "Organizational Outcomes of Using Online Recruiting among Family-Owned and Non-Family-Owned Businesses," (co-authors: Frances M. McKee-Ryan and Nancy J. King), College of Business, Oregon State University, 2003 - 2004.
  • Vivian Bales Research Fellowship, College of Business, Oregon State University, 2000, 2001, 2003, 2004.
  • The Newcomb Faculty Meritorious Performance Award, College of Business, Oregon State University, 2000 - 2001.
  • Byron L. Newton Award - Excellence in Teaching, College of Business, Oregon State University, 2000 - 2001.
  • The Contributed Paper Award, "Robustness of Conditional Moments: An Application to Premium Caalculation for Reinsurance Treaties," Seciton on Risk Analysis, Joint Statistical Meetings, American Statistical Association, Baltimore, Maryland, August 1999.

Publications

Academic Journal
Supply Chain

“Map? or List?based Recommender Agents? Does the Map Metaphor Fulfill its Promise?”

We present a spatialization of digital library content based on item similarity and an experiment which compares the performance of this spatialization relative to a simple list-based display. Items in the library are K-12 science and engineering learning resources. Spatialization and visualization are accomplished through 2D interactive Sammon mapping of pairwise item similarity scores based on the joint occurrence of word bigrams. The 65 science teachers participating in the experiment were asked to search the library for curricular items they would consider using in conducting one or more teaching assignments. Results indicate that whereas the spatializations adequately capture the salient features of the library’s content and teachers actively use them, item retrieval rates, task-completion time and perceived utility do not significantly differ from the semantically poorer but easier to comprehend and navigate list-based representations. These results put into question the usefulness of the rapidly increasing supply of information spatializations.
Details

291-308 pages 2016 Information Visualization Rene Reitsma Ping-Hung Hsieh Anne Diekema Robby Robson Malinda Zarsky View on: Google Scholar

Conference
Supply Chain

“Estimation and Visualization of Digital Library Content Similarities”

We report on a process for similarity estimation and two-dimensional mapping of lesson materials stored in a Web-based K12 Science, Technology, Engineering and Mathematics (STEM) digital library. The process starts with automated removal of all information which should not be included in the similarity estimations followed by automated indexing. Similarity estimation itself is conducted through a natural language processing algorithm which heavily relies on bigrams. The resulting similarities are then used to compute a Sammon-map; i.e., a projection in n dimensions, the item-to-item distances of which best reflect the input similarities. In this paper we concentrate on specification and validation of this process. The similarity results show almost 100% precision-by-rank in the top three to five ranks. Sammon mapping in two dimensions corresponds well with the digital library‘s table of content.
Details

2015 Intern. Conf. on Inf. Systems (ICIS) 2015 Rene Reitsma Ping-Hung Hsieh Robby Robson

Academic Journal
Supply Chain

“The magnet effect of price limits: a logit approach”

We investigate the magnet effect of price limits using transaction data from the Taiwan Stock Exchange. A logit model incorporates explanatory variables from microstructure literature and reveals that the conditional probability of a price increase (decrease) increases significantly when the price approaches the upper (lower) price limit, in support of the magnet effect. Our approach recognizes when the magnet effect starts to emerge and identifies possible determinants of magnet effect. The probability of information-based trading has a significant impact on the magnet effect for lower price limits.

Details

830-837 pages 2009 Ping-Hung Hsieh Yong Kim Jimmy Yang View on: Google Scholar

Academic Journal
Supply Chain

“Extreme Value Analysis for Partitioned Insurance Loss”

The heavy-tailed nature of insurance claims requires that special attention be put into the analysis of the tail behavior of a loss distribution. It has been demonstrated that the distribution of large claims of several lines of insurance have Pareto-type tails. As a result, estimating the tail index, which is a measure of the heavy-tailedness of a distribution, has received a great deal of attention. Although numerous tail index estimators have been proposed in the literature, many of them require detailed knowledge of individual losses and are thus inappropriate for insurance data in partitioned form. In this study we bridge this gap by developing a tail index estimator suitable for partitioned loss data. This estimator is robust in the sense that no particular global density is assumed for the loss distribution. Instead we focus only on fitting the model in the tail of the distribution where it is believed that the Pareto-type form holds. Strengths and weaknesses of the proposed estimator are explored through simulation and an application of the estimator to real world partitioned insurance data is given.
Details

214 - 238 pages 2009 John Henry III Ping-Hung Hsieh View on: Google Scholar

Academic Journal
Supply Chain

“A censored stochastic volatility approach to the estimation of price limit moves”

A censored stochastic volatility model is developed to reconstruct a return series censored by price limits, one popular form of market stabilization mechanisms. When price limits are reached, the observed prices are truncated and the equilibrium prices are unobservable, which makes further financial analyses difficult. The model offers theoretically sound estimates of censored returns and is demonstrated via simulations to outperform existing approaches with respect to the estimates of model parameters, unconditional means, and standard deviations. The algorithm is applied to model stock and futures returns and results are consistent with the simulation outcomes.

Details

337-351 pages 2009 Ping-Hung Hsieh Jimmy Yang View on: Google Scholar