Affiliation:
1. Comillas Pontifical University, Spain & Inditex, Spain
2. Open University of Catalonia, Spain & Comillas Pontifical University, Spain
Abstract
This chapter seeks to identify the variables that influence the demand for a product or service considered as collaborative consumption, particularly, which are the factors that most affect the choice of a hosting or another in AirBnB. The chapter starts with an overview of collaborative consumption and how it is positioned in the sharing economy as a technological phenomenon. Then the authors present the role of digital platforms in this context, and finally, they present the theoretical model with the aim to identify what variables influence the demand of a product or service considered as collaborative. To validate the model, a logistic regression analysis was performed. The results obtained show how some of the predictors have a significant importance in consumer purchase. The chapter ends by presenting some conclusions of interest to those web users, who decide to use it as a platform to advertise their accommodations.
Reference28 articles.
1. Alsever, J. (2012). The mega trend’ that swallowed Silicon Valley. Available at: http:// fortune.com/2012/10/03/the-mega-trend-that-swallowed-silicon-valley/
2. Ashish, K. (2016). Future Engineering: Data scientist’s Secret Sauce! Data Science Cen-tral. Available at: http://www.datasciencecentral.com/profiles/blogs/feature-engineering-data-scientist-s-secret-sauce-1
3. Understanding collaborative consumption: Test of a theoretical model
4. Understanding collaborative consumption: Test of a theoretical model