Can Visible Features of a Home Predict its Overall Rating on AirBnB?

Hamed Zolbanin

Ball State University

Hamed M. Zolbanin is an assistant professor of information systems and the director of business analytics in Miller College of Business at Ball State University. He had several years of professional experience as an IT engineer prior to receiving his Ph.D. in Management Science and Information Systems from Oklahoma State University. His main research interests are healthcare informatics, business and data analytics, and digital entrepreneurship. He has published two articles in Decision Support Systems journal.


The purpose of this analysis is to examine how well the current visible features of a home on AirBnB predict its overall rating score. The term ‘visible features’ refers to the physical characteristics of a property... [ view full abstract ]


  1. Hamed Zolbanin (Ball State University)
  2. Emily Bartman (Ball State University)
  3. Sushil Sharma (Ball State University)

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BD-2 » Big Data & Data Mining (14:30 - Friday, 13th April, Grand Central D)



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