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.
Abstract
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 ]
Authors
- Hamed Zolbanin (Ball State University)
- Emily Bartman (Ball State University)
- Sushil Sharma (Ball State University)
Topic Area
Topics: Topic #1
Session
BD-2 » Big Data & Data Mining (14:30 - Friday, 13th April, Grand Central D)
Paper
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