Sunny Hasija, PhD
Bridging Supply Chain and AI Research
Specializing in artificial intelligence applications in supply chain management, machine learning decision-making, and operations research innovation.
About Me
I recently completed my PhD in Logistics at The Ohio State University's Fisher College of Business, where I specialized in the intersection of artificial intelligence and supply chain management.
My research focuses on how AI and machine learning can revolutionize decision-making in supply chains, with particular expertise in trust dynamics, cost optimization, and the application of advanced analytics to complex operational challenges.
I bring both deep academic knowledge and practical technical skills, with experience in developing sophisticated research frameworks and scalable analytical tools. I'm passionate about bridging the gap between cutting-edge research and real-world business applications.
Currently seeking opportunities where I can apply my expertise in AI, machine learning, and operations research to drive innovation in both academic and industry settings.
Research Interests
Education & Expertise
PhD in Logistics
The Ohio State University
Fisher College of Business
Technical Skills
Python, R, Machine Learning, Data Analytics
Advanced Statistical Modeling
Research Focus
AI Applications in Supply Chain
Technology Trust & Decision Making
Research Areas
Exploring the intersection of artificial intelligence and supply chain management to solve complex operational challenges.
AI in Supply Chain Management
Investigating how artificial intelligence and machine learning can enhance decision-making processes in complex supply chain environments.
Technology Trust Dynamics
Researching the factors that influence trust in automated systems and their impact on adoption and performance in business contexts.
Cost Optimization
Developing advanced analytical frameworks for supply chain cost optimization using data-driven approaches and algorithmic solutions.
Publications
Peer-reviewed research contributing to the fields of supply chain management and AI applications.
In artificial intelligence (AI) we trust: A qualitative investigation of AI technology acceptance
Abhinav Hasija, Terry L. Esper
Journal of Business Logistics, 2022
This study explores organizational factors that influence AI technology acceptance in supply chain management. Using thematic analysis of vendor marketing materials and interviews with organizational leaders, we investigate the gap between AI's potential benefits and its actual acceptance and use in supply chain contexts.
Collaborative Research - Statistical Analysis
Contributed statistical expertise to interdisciplinary research projects in healthcare and reproductive medicine.
Factors associated with fertility preservation in a pediatric, adolescent and young adult population
MR Sax, G Pettengill, A Hasija (Statistician), B Ferrara, O Frias, A Riazzi, E Spitznagel, et al.
Journal of Pediatric Hematology/Oncology 44(7), 369-375, 2022
Young adult males' perspectives of male hormonal contraception
MR Sax, EG Hurley, RA Rossi, S Thakore, A Hasija (Statistician), J Sroga-Rios
South Med J 114, 73-76, 2021
Covid-19 Pandemic: A Survey Assessing Clinical Practice Changes in Reproductive Medicine
A Starostanko, SD Halassy, A Hasija (Statistician), B Gelvin, MA Thomas, JS Rios, et al.
Fertility and Sterility 114(3), e178, 2020
Current oncology training programs lack adequate education in fertility preservation counseling
E Brackett, V Moy, A Hasija (Statistician), MA Thomas, JS Rios, S Thakore
Fertility and Sterility 112(3), e406, 2019
Research Impact
Published in the Journal of Business Logistics, a premier venue for supply chain and logistics research, this work contributes to understanding how organizations can successfully adopt AI technologies in their operations.
Let's Connect
Interested in collaboration, research opportunities, or discussing how AI can transform supply chains? I'd love to hear from you.