Rakesh Mallipeddi

Assistant Professor (9M)

Operations and Business Analytics

Background

Rakesh Mallipeddi is an Assistant Professor in the Operations and Analytics Department at the Fisher College of Business, The Ohio State University. His research interests primarily lie in the areas of Online Social Networks, Technology Management, and Reputation. He primarily analyzes how firms can effectively manage innovation and technology, improve their service and marketing operations, and attract customers to their products and services.

Rakesh's research has been published in leading academic journals such as Management Science, Information Systems Research, Production and Operations Management, and Journal of Operations Management. His research received multiple awards including Elwood Buffa Doctoral Dissertation Award, IBM Service Science Best Student Paper Award, and Senator Gramm Award for Scholarly Excellence. He is on the editorial board at Decision Sciences Journal, and Production and Operations Management.

Rakesh is currently serving as an elected Vice President of Communications for the Production and Operations Management Society (POMS). He is also the social media coordinator for POMS. He served as program chair for the 2022 Annual POMS Conference and Vice President for Sponsorships for the 2021 and 2022 Annual POMS Conferences.

Rakesh previously served as an Assistant Professor in the Management Science area at the Freeman School of Business, Tulane University. He earned his Ph.D. in business administration (with a concentration in information and operations management) from Mays Business School, Texas A&M University. Prior to his academic career, Rakesh managed the operations of manufacturing companies.

Awards

  • Elwood Buffa Doctoral Dissertation Award, 2020
  • IBM Service Science Best Student Paper Award
  • Senator Phil Gramm Doctoral Fellowship Award for Scholarly Excellence in Research and Teaching
  • Outstanding Reviewer Recognition at Production and Operations Management Journal

Areas of Expertise

Information Technology
  • Information Technology
Production/Operations Management
  • Data Visualization
  • E-commerce Operations
  • Operations Marketing Interface
  • Technology Management
Sustainability/Corporate Responsibility
  • Sustainability and Corporate Responsibility

Education

  • PhD, Mays Business School, Texas A&M University
  • MS in Industrial and Systems Engineering, Oakland University
  • BS in Mechanical Engineering, The Ohio State University

Publications

  1. Mallipeddi, R. R., Kumar, S., Sriskandarajah, C., & Zhu, Y. (2021). A Framework for Analyzing Influencer Marketing in Social Networks: Selection and Scheduling of Influencers. Management Science, 68(1), 75-104.
  2. Mallipeddi, R. R., Janakiraman, R., Kumar, S., & Gupta, S. (2021). The Effects of Social Media Content Created by Human Brands on Engagement: Evidence from Indian General Election 2014. Information Systems Research, 32(1), 212-237.
  3. Kumar, S., & Mallipeddi, R. R. (2022). Impact of Cybersecurity on Operations and Supply Chain Management: Emerging Trends and Future Research Directions. Production and Operations Management (Forthcoming).
  4. Akturk, M., Mallipeddi, R.R., & Jia, X. (2022). Estimating Impacts of Logistics Processes on Online Customer Ratings: Consequences of Providing Technology-Enabled Order Tracking Data to Customers. Journal of Operations Management, 68(6-7), 775-811.
  5. Mallipeddi, R.R., Demirezen, E., Kumar, S., Gopal, R. (2023). Dynamics of Competition on Openness Strategies and Software Maintenance. MIS Quarterly, Forthcoming.

Courses

BUSOBA 2321 - Business Analytics
Examination of the use of business analytic models used in managerial decision making processes. Emphasis on formulation and interpretation of models; supported by spreadsheet based software. Prereq: Math 1131 or 1151 or equiv., and CSE 1113 or 2111, and Econ 2001.01 or equiv., and Econ 2002.01 or equiv.
BUSOBA 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.
BUSOBA 4331 - 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 CSE 2111, or equiv; and enrollment in Information Systems major. Prereq or concur: Math 1152, or 1161.01, or equiv. Not open to students with credit for 3331.
BUSOBA 7250 - Data Management for Analytics Professionals
Business Analytics is the process of transforming raw data into insights and predictions. This course is on the fundamentals of data management-the art and science of collecting, organizing, cleaning, and manipulating raw data in a variety of formats and from multiple sources, and being able to do it efficiently and at scale using R. Prereq: Enrollment in the SMB-A program, or permission of instructor.