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Chelsey Hill

Assistant Professor, Information Management and Business Analytics

Email:: hillc@montclair.edu
Degrees:: BA, The College of New Jersey; MS, St. Joseph's University; PhD, Drexel University
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C. Hill, J. Li, M. Schneider, M. Wells (2020). The Tensor Autoregressive Model. Wiley
C. Hill, B. McCullough (2019). On the Accuracy of GARCH Estimation in R Packages. ERFIN
M. Anandarajan, C. Hill (2019). Data Quilting: Art and Science of Analyzing Disparate Data. Cogent Business & Management
C. Wu, C. Hill, E. Yan (2017). Disciplinary knowledge diffusion in business research. JOURNAL OF INFORMETRICS
C. Hill-Esler (2013). Determinants of Process Change Outcome: An Exploratory Case Study Research Model. International Journal of Business Intelligence Research
J. Fresneda Fernandez, T. Burnham, C. Hill (2021). Structural topic modelling segmentation: a segmentation method combining latent content and customer context. Taylor and Francis
J. Hui, J. Fresneda Fernandez, C. Hill (2022). Market Segmentation in the Emoji Era. Communications of the ACM
M. Johnson, R. Jain, m. Brennan, E. Swartz, D. Silver, J. Paolini, S. Mamonov, C. Hill (2021). Developing Big Data and AI Workforce Roadmap for A Data Driven Economy. Global Institute of Flexible Systems Management
Y. Ping, C. Hill, Y. Zhu, J. Fresneda Fernandez (2022). Antecedents and Consequences of Key Opinion Leader Status: An Econometric and Machine Learning Approach. Electronic Commerce Research

Y. Ping, C. Hill, F. Partovi (5s). 2016. Investing in Disaster Preparedness: Analytical Network Process Approach Northeast Decision Sciences Institute (NEDSI) Conference
C. Hill, C. Wu (5s). 2016. The Antecedents and Consequences of Automotive Recall Decision Making Northeast Decision Sciences Institute (NEDSI) Conference
Y. Ping, J. Fresneda, Y. Zhu, C. Hill (5s). 2022. Key Opinion Leader and Business Growth: Econometrics and Machine Learning Approaches Advances in Digital Marketing and eCommerce/Springer

M. Anandarajan, C. Hill, T. Nolan (2018). Practical Text Analytics –Maximizing the Value of Text Data. Springer