Exploring the Over-Time Variation in Customer Concerns on Sharing Economy Services

Author:

Bai Shizhen1,Bi Xinrui1ORCID,Han Chunjia2,Yang Mu2,He Hao1ORCID

Affiliation:

1. Harbin University of Commerce, China

2. Birkbeck, University of London, UK

Abstract

The sharing economy represented by Airbnb has evolved rapidly. It is particularly important to identify and understand how consumer concerns change over time. As a result, this study employs structural topic modelling using room type and time as covariates to extract topics from 896,658 Airbnb reviews in London and to observe the variation in the prevalence of topics over time. The findings show that the topic proportion changed relatively sharply in the early years of Airbnb (2010-2013) and during the COVID-19 pandemic (2020-2022), but relatively smoothly in the middle period (2014-2019). This research also discovered that the proportion of topics on customers' special experiences has been decreasing while the proportion of topics on their overall experience has been increasing. This shift could be attributed to an increase in the number of professional hosts, which has accelerated the standardisation of the Airbnb service.

Publisher

IGI Global

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Reference38 articles.

1. Airbnb. (2022). About us. Retrieved June 7, 2022, from https://www.airbnb.com.au/about/about-us

2. Exploring thematic influences on theme park visitors' satisfaction: An empirical study on Disneyland China

3. Baike. (2022). Sharing economy. Retrieved August 18, 2022, from https://baike.baidu.com/item/sharing economy/965155

4. You are what you can access: Sharing and collaborative consumption online

5. What information do citizens want? Evidence from one million information requests in Mexico

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