Professor, Computer Information Systems & Business Analytics

Year Started at JMU: 1995

markhais@jmu.edu

Contact Info

Education
  • Virginia Tech, Ph.D., Management Science, 1992

  • Virginia Tech, M.B.A., 1987 

  • Kolkata University, M.A., Economics, 1980
  • Kolkata University, B.A.(Honors), 1977 
Professional Interests
  • Application of Statistics in Business
  • Application of Operations Research in Business
  • Business Analytics in Education
Personal Interests
  • Reading
  • Photography
  • Travel
Professional Background
  • Consultant, Robson Black & Ghosh (Management Consultants), 1980-1984
Current Courses Taught
  • COB 291 Business Analytics II
  • BSAN 392 Descriptive and Predictive Analytics
Positions Held
  • 2005 – present   Professor, Computer Information Systems & Business Analytics Department, James Madison University
  • 1999 - 2005   Associate Professor, Computer Information Systems & Management Science, James Madison University
  • 1995 - 1999   Assistant Professor, Computer Information Systems/Operations Management, James Madison University
  • 1993-1995  Assistant Professor, UNC Wilmington
Awards and Recognitions
  • CoB 2017 Best Applied Research Publication Award
  • College of Business Dean’s Impact Award, 2014-2015, 2016-2017
  • CoB 2015 Best Educational Publication Award
  • INFORMS Moving Spirit Award for Outstanding Service, 2012
  • SE INFORMS Distinguished Service Award, 2003
Service
  • Editorial Board, International Journal of Productivity and Quality Management
  • Decision Sciences Institute:
  • VP Professional Development, DSI Board of Directors, 2015-2016
  • Chair, Programs and Meetings Committee, 2015-2016
  • At-Large Vice-President, DSI Board of Directors, 2005-2007
  • Coordinator, Curricular Issues Mini-conference, 2007
  • Reviewer and Judge, Doctoral Dissertation Competition, 2001-2002
  • Chair, Management Science/Operations Research Track, 1999
  • Panelist, New Faculty Consortiums, 2001 & 2009
  • Panelist, Doctoral Student Consortiums, 1996 & 1998
  • Served on various committees 2000-date (too many to list)
  • Southeast DSI:
    • Council member, 2004-date
    • President, 2002-2003
    • Program Chair, 2001              
    • Various Vice-President roles, 1995-1999                 
  • Southeast INFORMS:
    • Council member, 2001-date
    • President, 1999-2001
    • Program Chair, 1997
Key Publications

Markham, S.E., Markham, I.S., and Smith, J.W. “At the crux of dyadic leadership: Self‐other agreement of leaders and direct reports ‐Analyzing360‐degree feedback” Leadership Quarterly, 26(6), 2015, pp.958‐977.

  • Warren Holtzman 2016 Award for Research Excellence, VA Tech. 

Markham, S.E., Smith, J.W., Markham, I.S., and Braekkan, K.F. “A new approach to analyzing the Achilles heel of multisource feedback programs: Canwe really trust ratings of leaders at the group level of analysis?” The Leadership Quarterly, 25, 2014, pp.1120‐1142.

  • 2017 Best Applied Research Publication Award, College of Business, JMU;
  • Warren Holtzman 2015 Award for Research Excellence, VA Tech. 

Markham, S.E., Markham, I.S., and Braekkan, K.F. “A Visual Illustration of Induction in Multilevel Methods: The Problem of Leaders AwardingCountervailing Merit Components.” Journal of Business & Psychology, 29(4), 2014, pp.503‐518, DOI 10.1007/s10869‐014‐9352‐y.            

Palocsay, S.W., and Markham, I.S. “Management Science in U.S. AACSB International‐Accredited Core Undergraduate Business School Curricula.” Journalof Education for Business, 89(2), 2014, pp. 110‐117.

  • 2015 Best Educational Publication, College of Business, JMU. 

Markham, I.S. “Assessing the Prediction of Employee Productivity: A Comparison of OLS vs. CART.” International Journal of Productivity and QualityManagement, 8(3), 2011, pp.313‐332. 

Markham, I.S., and Rakes, T.R., "The Effect of Size and Variability of Data on the Performance of Neural Networks and Regression." Computers andOperations Research, 25(4), 1998, pp. 251‐263. 

Markham, I.S. and Ragsdale, C.T. "Combining Statistical Models and Neural Networks to Solve the Classification Problem in Discriminant Analysis."Decision Sciences, 26(2), March/April 1995, pp. 229‐242.

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