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Chelsey Hill

Assistant Professor, Information Management and Business Analytics, Feliciano School of Business

Office:
School of Business 480
Email:
hillc@montclair.edu
Degrees:
BA, The College of New Jersey
MS, St. Joseph's University
PhD, Drexel University
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Refereed Published Articles

  • 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
  • C. Hill-Esler (2013). Determinants of Process Change Outcome: An Exploratory Case Study Research Model. International Journal of Business Intelligence Research
  • C. Wu, C. Hill, E. Yan (2017). Disciplinary knowledge diffusion in business research. JOURNAL OF INFORMETRICS
  • 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. Hill, J. Li, M. Schneider, M. Wells (2020). The Tensor Autoregressive Model. Wiley
  • J. Fresneda Fernandez, T. Burnham, C. Hill (2021). Structural topic modelling segmentation: a segmentation method combining latent content and customer context. Taylor and Francis
  • 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
  • C. Hill, L. Du, M. Johnson, B. McCullough (2024). Comparing Programming Languages for Data Analytics: Accuracy of Estimation in Python and R. Wiley Interdisciplinary Reviews (WIRES): Data Mining and Knowledge Discovery

Published Proceedings

  • 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
  • C. Hill, C. Wu (5s). 2016. The Antecedents and Consequences of Automotive Recall Decision Making Northeast Decision Sciences Institute (NEDSI) Conference
  • Y. Ping, C. Hill, F. Partovi (5s). 2016. Investing in Disaster Preparedness: Analytical Network Process Approach Northeast Decision Sciences Institute (NEDSI) Conference

Books & Chapters

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