Jin Sik Kim @ The University of Massachusetts - Boston
Welcome to Jin Sik’s site!
Jin Sik Kim is currently an Assistant Professor of Applied AI in the Management Science & Information Systems (MS&IS) Department at the University of Massachusetts Boston (UMB). He previously served as an Assistant Professor of Data Analytics at the University of Tennessee at Chattanooga for four years. During this time, he published two articles in ABDC A-ranked journals and produced ten conference proceedings presented at major conferences in the Information Systems field, including AMCIS, HICSS, AIM, and DSI.
Dr. Kim started his academic career after earning his Ph.D. in Management Information Systems (MIS) from the Paul Merage School of Business at the University of California, Irvine. He also holds a Master’s degree in Economics from the Maxwell School at Syracuse University and an MPIA (Master of Pacific International Affairs) from the School of Global Policy and Strategy at the University of California, San Diego.
Dr. Kim’s research explores the economic implications of digital technologies and the complex processes of value creation. His work investigates how organizations can leverage emerging technologies—such as artificial intelligence (AI), machine learning (ML), and big data analytics—to enhance value, applying economic and behavioral principles to guide his analysis.
His research focuses on four core areas:
1. The transformative impact of emerging information systems, such as Generative AI, across industries
2. The evolving nature of human roles and workspaces in response to technologies like AI and augmented human–AI collaboration systems
3. Ethical and governance challenges associated with the expanding use of AI and ML
4. The shifting dynamics among producers, consumers, and digital platforms in light of new technological paradigms
He has served as a session chair and mini-track chair at major IS conferences such as INFORMS, AMCIS, and HICSS. His academic contributions have been recognized with several awards, including the Best Reviewer Award at KrAIS 2025, the Excellence in Research Award from the Gary W. Rollins College of Business in 2024, and the ISS Best Cluster Session Award at the INFORMS Annual Meeting 2023.
Click here for Jin Sik Kim’s LinkedIn page
Motto: Audere est Facere
What Students Are Saying about Me
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Jin Sik does a great job in showing passion and enthusiasm on the subject. He is a great professor to have as he shows great character within the classroom. He utilizes great methods in teaching the class and is available to help out any student when he or she needs it.
Jin Sik is a fun teacher to have and it nice to see a professor have this much passion in teaching and for the students.
I find the concepts and topics he covered in the class very, very interesting. It feels a lot more applicable to the real-world than some of the other business classes I've taken that cover far too many theoretical concepts that are simply just not practical. I am not sure how long he has been teaching, but I think he has a lot of potential to grow as a professor. He cares a lot about his students and wants us to succeed. This has been an awesome class for me.
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— Undergraduate Students, Class of 2019.
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Great methodology of explaining topics that would be difficult to understand, Extremely patient when teaching new and difficult material, & Good overall teaching style.
He is very enthusiastic about the subject and really cares about the students learning and experience! Prof. Kim provides a wealth of additional concepts to extend the ideas that are available in the text. Also, he could provide Integrating real-world skills and technical knowledge to the course.
In Sum, lectures are informative, practice in class is effective, and enthusiasm and energy make the class fun
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— Undergraduate Students, Class of 2019.
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Fantastic resource, learned more from Jin Sik about machine learning than an entire class on Python or any other class in the program.
Jin Sik is a very down-to-earth guy and has a bundle of energy and patience. His sessions on Web mining and using R/ R-studio were very useful.
He is very talented and enjoys teaching his students.
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— Executive MBA Students, Class of 2020.
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A++ Jin Sik shared some valuable feedback to improve the quality of the final project and shared his way of doing the way which was very impressive. His inputs really helped us to concentrate on critical topics.
Absolutely. Best one I've ever had!
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— Fully-Employed MBA Students Class of 2019.
Outstanding Teaching Assistant Award, Fully-Employed MBA Class of 2016, UC Irvine.
Outstanding Teaching Assistant Award, Full-time MBA Class of 2017, UC Irvine.