Elliot Bendoly

Associate Dean of Undergraduate Students and Programs
Distinguished Professor of Management Sciences

Management Sciences

Background

Elliot Bendoly, is the Fisher College of Business Distinguished Professor in the Department of Management Sciences, and the 2015 OM Distinguished Scholar (Academy of Management). He has also served as Associate Dean of Undergraduate Students and Programs.  Prior to joining Fisher, Dr. Bendoly taught at Emory University’s Goizueta Business School, where he lead the Information Systems and Operations Management area/department, and held the title of Caldwell Research Fellow. During that time he also served as a visiting researcher at IE Business School in Madrid. Bendoly earned a PhD and MS in operations and decision technologies from Indiana University, and a BA in economics (industrial/development) as well as a BS in materials engineering from Case Western Reserve University.  Prior to graduate school, he served in a research capacity for both Intel and NASA.

His current research interests focus on the interface between operations, information technology and psychology (group and individual), including collaboration and group dynamics; work policies, task complexity and uncertainty; and operations/strategy/technology alignment.

Bendoly’s research (Google h-index 37 as of 2019) has been published in numerous journals, including no less than 25 articles appearing in:  Management Science, Journal of Operations Management, Production and Operations Management, Information Systems Research, MIS Quarterly, Journal of Applied Psychology.  An additional 37 articles appear in outlets including Journal of Business Logistics, Decision SciencesEuropean Journal of Operational ResearchInternational Journal of Operations & Production ManagementJournal of Supply Chain Management, Decision Support Systems.

He has also published a number of chapters and books, including Excel Basics to Black Belt: An Accelerated Guide to Decision Support Designs (Cambridge University Press), Visual Analytics for Management (Routledge/Taylor&Francis) and the Handbook of Behavior Operations Management: Social and Psychological Dynamics in Production and Service Settings (Oxford Press). He is the recipient of the Journal of Operations Management best published paper award of 2008, a finalist again in 2014, and earned runner-up honors for best published Information Systems Research paper of 2007. Bendoly currently serves as a senior editor of the Production and Operations Management Society’s Management of Technology and Behavior Operations departments, and associate editor of the Journal of Operations Management. He has also served as an associate editor for Decision Sciences (2006-2012) and Operations Management Research (2007-2012).

He is the recipient of a 2013 Crystal Apple Teaching Award from the Emory University Goizueta Business School as well as the 2000 William Panschar Associate Instructor Teaching Award from the Indiana University Kelley School of Business.  Various tools that he has developed for use in management education can be found at www.blackbelt-apps.com 

Areas of Expertise

Information Technology

  • Information Technology

Production/Operations Management

  • Data Visualization
  • Behavioral Operations
  • Technology Management

Sustainability/Corporate Responsibility

  • Sustainability and Corporate Responsibility

Education

  • PhD, Operations and Decision Technologies, Indiana University
  • MS, Operations and Decision Technologies, Indiana University
  • BA, Economics (Industrial/Developmental), Case Western Reserve University
  • BS, Materials Engineering, Case Western Reserve University

Publications

Articles in Refereed Journals                                                

Non-refereed periodicals

  • E. Bendoly, M. Cotteleer, A. Kline, “Understanding behavioral sources of process variation following enterprise system deployment”, Ernst & Young: Performance, forthcoming 2014
  • E. Bendoly, M. Sacks, “Reducing Human Error in Revenue Management Decision-Making”, Ernst & Young: Performance, December Issue 5(4), 2013
  • E. Bendoly, D. Thomas, M. Capra, I. Sun, “Multilevel social dynamics in project settings: control, confidence, and conscientiousness”, Ernst & Young: Performance, August Issue 4(3), 2012
  • E. Bendoly, “What mother never told you about Excel… It’s not all number crunching”, Management Research News, 32(10), pp. 8-10, 2010
  • E. Bendoly, “ERP systems and supply chain technologies: a caveat for B2B e-procurement,” E-Commerce and Supply Chain Strategies 1, pp. 23-31, 2001

Published books and chapters

Working Papers

Articles in Refereed Journals                                                                     

Non-refereed periodicals

  • E. Bendoly, M. Cotteleer, A. Kline, “Understanding behavioral sources of process variation following enterprise system deployment”, Ernst & Young: Performance, forthcoming 2014
  • E. Bendoly, M. Sacks, “Reducing Human Error in Revenue Management Decision-Making”, Ernst & Young: Performance, December Issue 5(4), 2013
  • E. Bendoly, D. Thomas, M. Capra, I. Sun, “Multilevel social dynamics in project settings: control, confidence, and conscientiousness”, Ernst & Young: Performance, August Issue 4(3), 2012
  • E. Bendoly, “What mother never told you about Excel… It’s not all number crunching”, Management Research News, 32(10), pp. 8-10, 2010
  • E. Bendoly, “ERP systems and supply chain technologies: a caveat for B2B e-procurement,” E-Commerce and Supply Chain Strategies 1, pp. 23-31, 2001

Published books and chapters

Courses

  • BUSMGT 7257 - Data Analysis and Visualization

    Designed to equip students with competencies in translating real-world problems into forms that such technologies can assist with, to portray/visualize these translations in ways that enhance the understanding of the dynamics of these problems, to structure mechanisms that derive suggested solutions, to clearly convey the justification and practicality of final solutions to others. Prereq: Enrollment in the MBA or WPMBA program; or permission of instructor.

  • BUSMGT 3331 - Business Analytics: Data Management and Descriptive Analysis

    Understand how organizations can successfully collect, organize, manipulate, use and present data. Prereq: Econ 2001.01 and 2002.01 or equiv; and Math 1152 or 1161.01 or equiv; and CSE 2111 or equiv.