报告题目:Business Continuity Management in the Sharing Economy: Insights from Airbnb Online Reviews
报告嘉宾: 陈博为
University of Glasgow
报告时间:2024年11月14日(周四) 10:00-11:30
报告地点:中国科学院大学中关村校区教学楼S406
内容摘要
This paper aims to demonstrate how text mining of online reviews can support business continuity management in the sharing economy during periods of market turbulence. We apply topic modelling and sentiment analysis to Airbnb reviews to pinpoint specific areas where short-term rental hosts can leverage the sharing-economy model to recover from market disruptions. The dataset includes 894,686 Airbnb reviews from both pre- and post-Covid periods, spanning 21 December 2009 to 31 March 2022. We consider the pandemic as a paradigm example of a high-impact external market shock, drawing insights and recommendations that contribute to a broader understanding of business continuity management in the short-term rental and peer-to-peer sharing economy.
主讲人简介
Dr Bowei Chen is an Associate Professor in Marketing Analytics and Data Science at the Adam Smith Business School, University of Glasgow, and the Programme Director for the MSc Business Analytics. He holds a PhD in Computer Science from University College London, and his research focuses on applying probabilistic modelling and machine learning to business, particularly in marketing and finance. His work has been published in venues such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Network Science and Engineering, ACM Transactions on Knowledge Discovery from Data, ACM Transactions on Intelligent Systems and Technology, SIGKDD, SIGIR, AAAI, European Journal of Operational Research and Tourism Management.