Year: 2024
Type: article
Abstract: The COVID-19 pandemic has led to shortages in the automotive industry due to a limited supply of semiconductor chips, which has created a nonlinear dynamic and chaotic business environment in the industry.This leads to the following important yet unanswered questions: 1) Is there a divergence in consumer emphases placed on the car buying process prior to and after COVID-19?; 2) How do consumer sentiment patterns affect their ratings of car dealerships prior to and after COVID-19?To answer these questions, we utilise a text-mining approach and perform an ordered probit regression analysis.Results illustrate the following.First, the sentiment keyword 'fast' had a positive impact on consumer online ratings after COVID-19, whereas 'clean' had a positive impact on consumer online ratings before COVID-19.Third, the sentiment keyword 'wait' had a negative impact on consumer online ratings after COVID-19.Fourth, the sentiment keyword 'willing' had a negative impact on consumer online ratings both before and after COVID-19.Finally, the sentiment keyword 'mess' had a negative impact on consumer online ratings both before and after COVID-19.
Institution: Winston-Salem State University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4405000105