Ho-Chang Chae, Ph.D.

Fall 2023

• 2-4 p.m., Tuesday, Wednesday and Thursday
• Open door or by appointment
   

Ho-Chang "Michael" Chae is an associate professor of information systems for the Department of Information Systems and Operation Management at the College of Business at the University of Central Oklahoma. He holds a Ph.D. in business computer information systems and an M.S. in information technologies from the University of North Texas, as well as a B.S. in chemistry from Hanyang University in Seoul, South Korea.

Chae has more than 10 years of experience in information systems and technology. He worked as a chief information officer, web developer, network manager and director of business solutions in various industries.

Chae's research and teaching interests are centered on the intersections of information technology, business performance, human behavior and machine learning/artificial intelligence (AI).  He has published his research in various journals, including MIS Quarterly, Information & Management, Journal of Computer Information Systems, Small Business Economics, and International Journal of Technology and Human Interaction. He received the prestigious 2017 Emerald Citations of Excellence. He is a SAS Certified Predictive Modeler with SAS Enterprise Miner 14.2

• Ph.D., Business Computer Information Systems, University of North Texas
• M.S., Information Technologies, University of North Texas
• B.S., Chemistry, Hanyang University, South Korea

Refereed Journal Articles

• Chae. H. (Forthcoming). In search of gazelles: machine learning prediction for Korean high growth firm. Small Business Economics
• Chae, H., Koh, C.E., & Nguyen, Q. (Forthcoming). Individual creativity and acceptance of emerging information technology. Journal of Computer Information Systems
• Chae, H., Kim, G., & Koh, C.E. (2023). Impact of privacy behaviors on relatedness and well-being in SNSs. Journal of Computer Information Systems, 63(1), 228-239.
• Cheng, J., Chae, H., & Feng, R. (2021). STEM education-career pathway for emerging forensic analytics: Innovative professional development in multimodal environments.  Journal of Higher Education Theory and Practice, 21(8), 115-128.  
• Chae, H.-C., Koh, C. E., Jeon, M. (2020). Can Cognitive Style Predict Adoption of an Emerging Technology? An Empirical Study of Cognitive Style and Its Influence on the Perception of a New Technology. International Journal of Technology and Human Interaction, 16(1).
• Chae, H.-C., Koh, C., Park, K. O. (2018). IT Capability and Firm Performance: Role of Industry. Information and Management, 55(5), 525-546.
• Chae, H.-C., Koh, C. E., Prybutok, V. (2014). Information Technology Capability and Firm Performance: Contradictory Findings and Their Possible Causes. MIS Quarterly, 38(1), 305-326.

Conference Proceedings/Presentations

• Chambers, T., Nguyen, C. & Chae, H. (2022, October 16-18). Uncovering Airbnb reviews. INFORMS Annual Meeting, Indianapolis, IN, United States.
• Kouadio, W., Biney, K., & Chae, H. (2022, October 16-18). Predicting whether restaurants will stay open using the Yelp dataset. INFORMS Annual Meeting, Indianapolis, IN, United States.
• Kanagwa, A. & Chae, H. (2020, March 29 – April 1). Predict freeze in natural gas pipelines by using SAS machine learning & Python Scikit-learn.  SAS Global Forum, Washington DC, United States.
• Yim, S. & Chae, H. (2020, March 29 – April 1).  Machine learning data analysis for the ERP adoption and enterprise performance with SAS Enterprise Miner and Python Scikit-learn.SAS Global Forum, Washington DC, United States.
• Chae, H. (2019). First mover (dis)advantages in IT investment in the digital age: Empirical study of mobile banking. Proceedings of the 40th International Conference on Information System, Munich, Germany.
• Chae, H. (2019, December 18). How will individual streaming platforms disrupt the entertainment industry? Examination of Mukbang phenomenon through lenses of long tail, parasocial relationship, social identity theory. KrAIS Research Workshop at the International Conference on Information Systems (ICIS), Munich, Germany.
• Chae, H. (2018). First-mover (dis)advantages of investment in innovative IT applications: Lesson from ERP adoption. Proceedings of the 24th Americas Conference on Information Systems, New Orleans, LA, United States.
• Chae, H., & Lalwani, B. (2017, January 4). How will sharing emotion disrupt the media industry? Lesson from Mukbang and AfreecaTV . MIS Quarterly Executive Workshop on the Sharing Economy, Hawaii International Conference on System Sciences (HICSS), Kailua, HI.
• Bonner, D., & Chae, H. (2016). The impact of ERP assimilation, process agility and business intelligence maturity on innovation performance. Proceedings of the 22nd Americas Conference on Information Systems, San Diego, CA.
• Koh, C.E., Chae, H., & Jeon, M. (2015, December 16). IT capability and firm performance: Does firm size matter?. LG CNS/KrAIS Research Workshop at the International Conference on Information Systems, Fort Worth, TX, United States.
• Chae, H. (2014, November 22-25). First mover advantages of enterprise systems investment: The role of industry. Annual Meeting of the Decision Sciences Institute (DSI), Tampa, FL.
• Chae, H. (2006, November 18-21). IT-driven value innovation. Annual Meeting of the Decision Sciences Institute (DSI), San Antonio, TX.
• Chae, H., Koh, C.E., & Spence, W. (2006). The examination of relationship between individuals’ cognitive styles and their perception of usefulness of IT. Proceedings of the 12nd Americas Conference on Information Systems, Acapulco, Mexico.
• Koh, C.E., & Chae, H. (2006, May 1). RFID and business strategy RFID Academic Convocation, RFID Journal & MIT Auto-ID Labs, Las Vegas, NV.

Grant

• Chae, H. (Co-principal), A Strategic STEM4OK education-career pathway for building an equitable and innovative STEM workforce development on the human-computer frontier, Sponsored by University of Central Oklahoma (August 17, 2021 – June 15, 2022).
• Chae, H. (Principal), In search of Gazelles: Can going business analytics predict high growth? Machine learning prediction for U.S. firms, Sponsored by University of Central Oklahoma, $12,050 (August 17, 2020 – June 15, 2021).
• Chae, H.-C., "The Impact of ERP Assimilation, Process Agility, Business Intelligence Maturity on Innovation Performance," University of Central Oklahoma, $12,050.00. (August 1, 2019 - June 15, 2020).
• Chae, H.-C. (Principal), "First-Mover (Dis)Advantages of Investment in Enterprise Systems: A Longitudinal Study of ERP, SCM, and CRM Implementations," Sponsored by University of Central Oklahoma, University of Central Oklahoma, $15,269.00. (August 1, 2018 - July 31, 2019).

University of Central Oklahoma

• ISOM 3323, Business Analytics, 12 courses.
• MSBA 5303, Programming for Analytics, 4 courses.
• MSBA 5314, Predictive Analytics & ML (Applied Analytics), 13 courses.
• MSBA 5404, Predictive Analytics & AI (Advanced Applied Analytics, Capstone Class), 8 courses.
• MSBA 5411, Managing Analytics, 7 courses. 

 University of Mary Hardin-Baylor  

• BCIS 6322 Analysis, Modeling and Design
• BCIS 6335 Emerging Technologies and Issues
• BCIS 6350 Project and Change Management 
• BADM 6235 Business Process Management I
• BADM 6305 Seminar in Information Systems Research

 West Liberty University

• BIS 483 Database Design/SQL  
• BIS 480 MIS Reporting Techniques (Business Intelligence)  
• BIS 460 Management Information Systems 
• BIS 371 Advanced Visual Basic 
• CIS 471 Advanced Computer Applications 
• CIS 271 Practical Computer Applications 
• CIS 270 Introduction to Computer Systems  
• ACC 400 Accounting Information Systems 

• 2021 UCO Faculty Merit-Credit Award in Teaching
• The 21st Century Pedagogy Institute (21CPI) Teacher-Scholar, April 17, 2018, UCO.
• 2017 Emerald Citations of Excellence, Emerald Group Publishing. (August 2017).
• Excellence in Research Award, Gary E. West College of Business, West Liberty University. (April 2013).