Dr. Handanhal Ravinder

Associate Professor | Information Management & Business Analytics | Feliciano School of Business


Telephone: 9736557289

Office: Feliciano School of Business, 458


Prior to coming here I worked in the pharmaceutical industry, primarily Johnson & Johnson, for 12 years in various market analytics and market research functions. Before my stint in industry I taught for 15 years in the business school at the University of New Mexico. I have undergraduate and graduate degrees in engineering and my Ph.D. is in operations management from the University of Texas at Austin. My teaching and research interests are in the areas of operations management, decision theory, and the teaching of operations management.

Areas of Expertise

Operations management
Managing the risks of extended supply chains.
Business statistics.
Subjective probability and utility assessment.
The biases inherent in intuitive decision making


  • MS, e-Commerce, 2001, Carnegie Mellon University
  • Ph D, Operations Management, 1986, University of Texas
  • MS, Industrial Engineering, 1977, Indian Institute of Technology
  • BS, Mechanical Engineering, 1975, Bangalore University

Refereed Publications

  • Ravinder H., Misra R., (2016). Forecasting When Trend and Seasonality Are Present: What Should Operations Management Textbooks Teach?. Philadelphia, PA. Journal of the Academy of Business Education.
  • Misra R., Ravinder H., Peterson R., (2016). An Integrated Approach to Teaching of Operations Management in a Business School. Taylor & Francis Online. Journal of Education for Business.91 (4). (pp. 236-242).
  • Ravinder H., Misra R., (2016). The Treatment Of Six Sigma In Introductory Operations Management Textbooks: Clearing Up The Confusion. Clute Institute. American Journal of Business Education.9 (2). (pp. 101-111).
  • Ravinder H., Misra R., Su H., (2015). Quantifying the Risk of Intellectual Property Loss in Analytics Outsourcing. Hershey, Pennsylvania. Information Resources Management Journal / IGI Global.28 (1). (pp. 20).
  • Ravinder H., Misra R., (2014). ABC Analysis for Inventory Management: Bridging the Gap Between Research and Classroom. Littleton, CO. American Journal of Business Education.7 (3). (pp. 9).
  • Ravinder H., (2013). Forecasting With Exponential Smoothing – What’s The Right Smoothing Constant?. Littleton, CO. Review of Business Information Systems.17 (3). (pp. 117-126).
  • Ravinder H., (2013). Determining the Optimal Values of Exponential Smoothing Constants - Does Solver Really Work?. Littleton, CO. American Journal of Business Education.6 (3). (pp. 347-360).
  • Ravinder H., Schultz C., (2000). Decision Making in a Standby Service System. . Decision Sciences.31 (3). (pp. 573-593).
  • Ravinder H., (1992). Bias in Aggregations of Subjective Probability and Utility. . Journal of the Operational Research Society.43 (6). (pp. 621-627).
  • Ravinder H., Kleinmuntz D., (1991). Random Error in Additive Decompositions of Multiattribute Utility.. . Journal of Behavioral Decision Making.4 (2). (pp. 124-138).
  • Ravinder H., Kleinmuntz D., Dyer J., (1988). The Reliability of Subjective Probabilities Obtained Through Decomposition. . Management Science.34 (2). (pp. 186-199).

Published Proceedings

  • Ravinder H., Berenson M., Su H., (2016). Experimental Assessment of Student Ability to Interpret Regression Diagnostic Plots: Preliminary Results. NEDSI. Proceedings of Northeast Decision Sciences Institute 2016 Annual Meeting. Refereed
  • Ravinder H., Misra R., (2014). Bringing Current Research on Multicriteria ABC Analysis to Practice. . Northeast Business and Economics Conference. Refereed
  • Ravinder H., (1986). A Rationale fro the Additive Decomposition of Multiattribute Utilities. (pp. 696-702). Kyoto . International Conference on Multicriteria Decision Making. Refereed
  • Ravinder H., Misra R., suh H. S., (). Analytics Outsourcing and the Loss of Competitive Edge - A Mathematical Modeling Framework.. Atlanta, GA. North East Decision Sciences Institute. Refereed


  • A review of project management software products and platforms (with Naushad Kollikkathara & Te Wu). On Wikipedia over 150 project management platforms are listed. A cursory examination reveals that they are now about much more than project scheduling; they include, for example, risk management, financing and budgeting, communication, and portfolio management. From an academic perspective an objective assessment of the features of these products and their capabilities is essential to (i) an understanding of real-life project management, (ii) understanding of the theoretical underpinnings of the software. Schools may consider pushing for educational versions so that students get familiar with them (like MS-Project). As of today no such review exists from an academic perspective.
  • A simulation model of the analytics outsourcing process (with Ram Misra). In a previous paper we identified a mathematical approach to quantifying the risks of analytics outsourcing. The next logical step is to validate that approach with simulation. Simulation will allow us to enrich our outsourcing interaction model with more realistic detail and provide better insight into the risks of outsourcing analytics.
  • Do multicriteria inventory cateogorization methods lead to better inventory management policies? (with Ram Misra and Jigar Patel). Much research has been done on the topic of multicriteria inventory categorization and three classes of methods have developed over the years. As a first step we performed an up-to-date review of this literature. We are following this up with an evaluation of the major multicriteria categorization rules. Given the number of variables involved, the complexity of their interactions, and the dynamic evolution of the variables, we are using discrete-event simulation to model the behavior of the inventory system.
  • Does outsourcing promote or hinder innovation? (with Ram Misra). In this work we will identify NJ pharmaceutical companies that have outsourced their R&D. Through in-depth interviews with executives at appropriate levels, we will try to understand in detail the history of R&D outsourcing efforts at their companies. How would they judge the outcomes of their outsourcing efforts? What criteria would they use to judge the success or failure of outsourcing? What are the characteristics of successful versus unsuccessful examples of outsourcing? The framework of this study and the questionnaire will be presented at the November 2016 Northeast Business & Economics Association Conference, West Point, NY.
  • Holistic versus decomposition methods of preference assessment. We compare the reliability and validity of health state utilities obtained holistically with those obtained through decomposition. Are they equally reliable in a test-retest sense and do they have convergent validity? Further, the methods used to elicit utilities – SG, TTO, or VAS – will influence their reliability and validity. Existing well-tested protocols will be used for the assessments. Reliability and validity will be calculated for each combination. The results of this experiment will be useful in assessing the feasibility of decomposition methods in assessing the utilities of the large numbers of health states that are typical of situations where health policy is to be framed.
  • Students' ability to evaluate regession diagnostic plots (with Mark Berenson & Haiyan Su). In an earlier research study we showed that students could do better than guessing when asked to identify the characteristics of residual diagnostic plots in the context of validation of regression assumptions. We elaborate on this study by increasing the number aspect ratios and plot densities as well as the degrees of violation of the assumptions. This will allow us to generalize the results we currently have.
  • Survey of health preference assessment methods. In today’s world shared decision making is becoming the paradigm. Understanding a patient’s preferences for available treatment options and associated health outcomes can lead to greater trust between physician and patient, greater understanding of current health, range of treatment options available and the associated health outcomes, better choices, greater adherence to treatment regimes, and better outcomes at lower costs. This paper presents a survey of the literature and directions for future research.
  • What do organizations look for in project managers? (with Naushad Kollikkathara & Te Wu). While it might seem that the list of desirable qualities has been clearly established, it is not clear that these needs are clearly reflected in their job advertisements. One recent study presents a content analysis of online advertisements for project managers to identify the knowledge, skills, and abilities (KSAs) sought by the organizations that created these advertisements (and presumably value these KSAs). The study focused on Australia and New Zealand and came up with a list of KSAs that seemed valuable to hiring organizations. This list was different in significant ways from those developed by certification bodies like PMI. We plan to replicate this study for the US job market. In addition we want to assess the value of project management certifications and compare the key skill areas with non-project management jobs.