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Guiding the next generation of doctoral students in operations management

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  • Sodhi, ManMohan S.
  • Tang, Christopher S.

Abstract

This paper presents ways for senior researchers to help future doctoral students in Operations Management (OM) to overcome multiple challenges in the following: (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. & Tang, Christopher S., 2014. "Guiding the next generation of doctoral students in operations management," International Journal of Production Economics, Elsevier, vol. 150(C), pages 28-36.
    • Handle: RePEc:eee:proeco:v:150:y:2014:i:c:p:28-36
    DOI: 10.1016/j.ijpe.2013.11.016
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    References listed on IDEAS

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    1. ManMohan S. Sodhi & Christopher S. Tang, 2012. "Supply Chain Risk Management," International Series in Operations Research & Management Science, in: Managing Supply Chain Risk, edition 127, chapter 0, pages 3-11, Springer.
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    2. Sara Perotti & Lorenzo Bruno Prataviera & Marco Melacini, 2022. "Assessing the environmental impact of logistics sites through CO2eq footprint computation," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1679-1694, May.
    3. Alikhani, Reza & Ranjbar, Amirhossein & Jamali, Amir & Torabi, S. Ali & Zobel, Christopher W., 2023. "Towards increasing synergistic effects of resilience strategies in supply chain network design," Omega, Elsevier, vol. 116(C).
    4. Gabriella M. Hastig & ManMohan S. Sodhi, 2020. "Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 935-954, April.
    5. Scott DuHadway & Steven Carnovale & Vijay R. Kannan, 2018. "Organizational Communication and Individual Behavior: Implications for Supply Chain Risk Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(4), pages 3-19, October.
    6. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    7. Mahavadi Dhanshyam & Samir K. Srivastava, 2021. "Governance structures for public infrastructure projects: Public–private management regimes, contractual forms and innovation," Construction Management and Economics, Taylor & Francis Journals, vol. 39(8), pages 652-668, August.
    8. Kovacs, Gyöngyi & Moshtari, Mohammad, 2019. "A roadmap for higher research quality in humanitarian operations: A methodological perspective," European Journal of Operational Research, Elsevier, vol. 276(2), pages 395-408.
    9. Yu Gong & Yun Zhang & Mohammed Alharithi, 2022. "Supply Chain Finance and Blockchain in Operations Management: A Literature Review," Sustainability, MDPI, vol. 14(20), pages 1-21, October.
    10. ManMohan S. Sodhi & Christopher S. Tang, 2021. "Extending AAA Capabilities to Meet PPP Goals in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 625-632, March.

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