Deepak Agrawal
Photo of Deepak Agrawal

Deepak Agrawal (he/him)

Visiting Assistant Professor of Operations Management
Tepper School of Business, Carnegie Mellon University

Empirical Operations · Supply Chain Networks · OM–Finance Interface · Healthcare Markets · Sustainability

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I am a Visiting Assistant Professor of Operations Management at the Tepper School of Business, Carnegie Mellon University. I received my PhD in Information Systems and Operations Management from Emory University’s Goizueta Business School in 2025, where I was advised by Nikolay Osadchiy. My dissertation, Efficiency, Resiliency, and Value Addition in Supply Networks, was a finalist for the 2026 Industry Studies Association Dissertation Award.

My research looks at supply chains as networks rather than as a firm and its direct partners. I study how a firm’s position in the extended supply network, often several tiers away from final demand, shapes its operational efficiency, the share of value it captures, and how risk and reward reach it through suppliers and customers it shares with others. My paper with Nikolay Osadchiy on inventory productivity and stock returns in manufacturing networks received the 2025 MSOM iFORM SIG Best Paper Award. I am passionate about applying these network methods to other areas such as sustainability, technology adoption, retail, and healthcare. In healthcare, I study how hospital prices are negotiated and what price transparency rules change for payers, providers, and patients.

I am happy to talk more about my work in progress, or about how we might collaborate, in person or virtually.

Education

Dissertation committee: Nikolay Osadchiy (Advisor), Tian Chan, Vishal Gaur, Gonzalo Maturana

Research

Publications

  1. Inventory Productivity and Stock Returns in Manufacturing Networks
    Agrawal, D., Osadchiy, N. (2024)
    Manufacturing & Service Operations Management, 26(2): 573–593
    2025 MSOM iFORM SIG Best Paper AwardBest Presenter Award, 2023 Goizueta Doctoral Research Conference
    PaperDashboard
    Abstract

    Two manufacturers of similar size in the same industry can carry very different levels of inventory, and the market rewards their efficiency very differently. Using manufacturing networks from 2003 to 2019, we find that inventory productivity falls as we move upstream and improves with a firm’s connectedness and centrality. The stock market rewards better inventory productivity, but most strongly for upstream, less connected, and peripheral firms. Inventory should therefore be benchmarked against firms in a similar network position, not only against industry peers.

Under Review

  1. Value Capture in Supply Networks
    Agrawal, D., Allon, G., Osadchiy, N.
    SSRNDashboard
    Abstract

    The evidence for the value chain smile is mixed, partly because earlier tests place every firm on a single chain, when most firms sit in many chains at once. We build a local value chain around each firm, comparing its margin with those of its direct and indirect suppliers and customers. Firms with higher R&D and SG&A intensity are more likely to sit at the top of their local value chain, where the curve takes an inverted-U shape, and transitions into that shape follow persistently high R&D and rising SG&A intensity rather than changes in upstreamness.

  2. Using MELD 3.0 for Predicting Emergent and Non-Emergent TIPS Outcomes
    Chua, J., Agrawal, D., Akan, M., Correa, T., Wu, A., Bambha, K.M., Biggins, S.W., Novelli, P.M.

Work in Progress

  1. Transparency Without Parity: A Bargaining Account of Hospital Prices and the Design of Disclosure
    Verma, S., Agrawal, D., Tayur, S., Hosseininasab, A.
    Preparing for submission to Management Science
  2. Empirical Analysis of Geographical Diversification in Supply Chain Network
    Agrawal, D., Osadchiy, N.
  3. Trade Credit or Bank Credit: A Supply Network Perspective
    Agrawal, D., Zhang, S.
  4. Inventory Management and Service Network Optimization Using Downstream Data and AI Support Agent
    Agrawal, D., Chellappa, R.K.

Book Chapter and Case Studies

In Pochiraju, B. and Seshadri, S. (eds.), Essentials of Business Analytics, Springer, 2019.

  1. Probability & Statistics
    Taori, P., Mamidipudi, S., Agrawal, D.
    pp. 945–963
  2. Case Study: InfoMedia Solutions
    Agrawal, D., Mamidipudi, S., Padmanabhan, S.
    pp. 873–887
  3. Case Study: AAA Airline
    Agrawal, D., Kollipara, H.S.S., Mamidipudi, S.
    pp. 863–871
  4. Case Study: Ideal Insurance
    Agrawal, D., Mamidipudi, S.
    pp. 847–862

Interactive Tools

Measures from my research that researchers, practitioners, and students can explore.

Upstreamness and Inventory Productivity

Inventory productivity and network position (upstreamness) of US manufacturers, from the M&SOM paper.

Open →

Value Chain Smile

The shape of each firm's local value chain, comparing its gross margin with those of its suppliers and customers.

Open →

Supply Chain Explorer

Explore supply chains from a network perspective. Built with my former student Kit Chulajata.

Open →

See also my curated list of supply chain network resources.

Presentations

2026

  • DSI Annual Conference, San Francisco, CA (Scheduled)
  • INFORMS Annual Meeting, San Francisco, CA (Scheduled)
  • Midwest Healthcare Conference, Champaign, IL
  • MSOM Conference, Boston, MA
  • Network Science and Economics, Miami, FL

2025

  • POMS Annual Conference, Atlanta, GA
  • INFORMS Annual Meeting, Atlanta, GA

2024

  • INFORMS Annual Meeting, Seattle, WA
  • Carnegie Mellon University, Tepper School of Business, Pittsburgh, PA
  • Montana State University, Jake Jabs College of Business & Entrepreneurship, Bozeman, MT
  • University of Dayton, School of Business Administration, Dayton, OH
  • California State University Northridge, David Nazarian College of Business and Economics, Northridge, CA
  • Penn State University, Smeal College of Business, University Park, PA
  • University of Hawai'i, Hilo, HI (virtual)
  • BITS School of Management, Mumbai, India
  • Yeshiva University, New York, NY

2023

  • Tilburg University, Tilburg School of Economics and Management, The Netherlands
  • Syracuse University, Whitman School of Management, Syracuse, NY
  • Goizueta Doctoral Research Conference, Atlanta, GA
  • INFORMS Annual Meeting, Phoenix, AZ
  • MSOM iFORM SIG, Montreal, Canada
  • POMS Annual Conference, Orlando, FL

2022

  • INFORMS Annual Meeting, Indianapolis, IN
  • POMS Annual Conference (virtual)

2021

  • POMS Annual Conference (virtual)

Teaching

Teaching interests: Operations and Supply Chain Management, Business Analytics, Global Supply Chains, Supply Chain Finance, Network Analysis

Carnegie Mellon University, Tepper School of Business

2024–present

Instructor

  • Supply Chain Management (MBA, Online-Hybrid MBA)Sp2025, Sp2026, Sp2027*
  • Operations and Supply Chain Analytics (MSBA)Sp2025, Sp2026, Sp2027*
  • Operations and Supply Chain Analytics (Online-Hybrid MSBA)Su2025, Su2026, Su2027*
  • Regression Analysis (Undergraduate)Sp2027*

Capstone Advisor

  • MSBA Capstone ProjectsSp2026, Sp2027*

Emory University, Goizueta Business School

2019–2024

Instructor

  • TechTool: Getting Started with Tableau (BBA elective)Sp2024

Guest Lecturer

  • Supply Chain Management (BBA, MBA elective)Sp2023
  • Operations Management Seminar (PhD)Sp2023

Teaching Assistant

  • Supply Chain Management (BBA, MBA, Executive MBA elective) · Instructor: Nikolay OsadchiySp2020–Sp2024
  • Supply Chain Analytics (MSBA) · Instructor: Nikolay OsadchiySp2024
  • Social Network Analytics (MSBA) · Instructor: Abraham OshotseSp2024
  • Process & Systems Management (MBA core) · Instructor: Ramnath K. ChellappaFa2021–Fa2023
  • Management Science in Spreadsheets (MBA elective) · Instructor: Diwas KCSp2023
  • Data Science for Business (MBA elective) · Instructor: Panagiotis (Panos) AdamopoulosSp2023

University of Illinois Urbana-Champaign, Gies College of Business

2018–2019

Adjunct Instructor

  • Business Analytics II (course development and instruction)

Teaching Assistant

  • Data Toolkit: Business Data Modeling and Predictive Analytics (iMBA)

Indian School of Business

2013–2019

Instructor

  • Designed practicum projects for business analytics students and mentored 250+ students across courses in data collection, text analytics, big data management, forecasting, and machine learning

Associate Director

  • Led the Applied Statistics & Computing Lab (now the ISB Institute of Data Science) and the Executive Business Analytics program; set up a trading lab for finance research and teaching

Institute of Management and Technology

2013–2019

Practitioner Faculty

  • Business Intelligence using SAS; Predictive Modeling (MBA electives)

ICFAI Business School

2008–2010

Instructor

  • Business Research Methods (MBA core); Financial Management (MBA core)

* Scheduled

Honors and Awards

Service

Reviewer
Decision Sciences, Management Science, Manufacturing & Service Operations Management, Production and Operations Management, Service Science
Session Chair
INFORMS 2026; POMS 2024, 2025, 2026; Goizueta Doctoral Research Conference 2022; Consortium for Operational Excellence in Retailing (COER) 2021
University Service
Emory International Council (2022–23); Laney Graduate Student Council (2022–23)
Memberships
CASN-RA, COER, DSI, INFORMS, MSOM, POMS

Industry Experience