Guiding the Next Generation of Doctoral Students in Operations Management

Forthcoming, IJPE

25 Pages Posted: 5 Dec 2013

See all articles by ManMohan S. Sodhi

ManMohan S. Sodhi

City University London - Sir John Cass Business School

Christopher S. Tang

University of California, Los Angeles (UCLA) - Decisions, Operations, and Technology Management (DOTM) Area

Date Written: December 4, 2013

Abstract

This paper presents ways for senior researchers to help future doctoral students in Operations Management (OM) to overcome multiple challenges in: (a) conducting relevant research while demonstrating greater rigor, and (b) exploring multi-disciplinary research projects while mastering a single research method. Recognizing that knowledge is generally created in four broad stages ((I) awareness, (II) framing, (III) modeling and (IV) validation), we first argue that different research approaches (analytical, behavioral, case study, or empirical) serve different roles in each of these stages: (1) case study approach for awareness, (2) empirical methods for framing, (3) analytical modeling for modeling and analysis, and (4) behavioral for validation in the real world. Then we discuss ways to enable doctoral students to overcome the aforementioned challenges.

Suggested Citation

Sodhi, ManMohan S. and Tang, Christopher S., Guiding the Next Generation of Doctoral Students in Operations Management (December 4, 2013). Forthcoming, IJPE, Available at SSRN: https://ssrn.com/abstract=2363400

ManMohan S. Sodhi (Contact Author)

City University London - Sir John Cass Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

Christopher S. Tang

University of California, Los Angeles (UCLA) - Decisions, Operations, and Technology Management (DOTM) Area ( email )

110 Westwood Plaza
Los Angeles, CA 90095-1481
United States

HOME PAGE: http://www.anderson.ucla.edu/x980.xml

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