The Impact of Pandemic COVID19 on Share Economy

A case study of ride-sharing companies in Pakistan

Abstract

Objective
This study aims to examine the relationship between social/physical distancing and share business models, specifically focusing on the impact of the COVID-19 pandemic on the conceptualization and consumer perceptions of share economy ideas in Pakistan.
Overview
The research explores the inverse proportional relationship between social/physical distancing (independent variable) and the share economy (dependent variable). This correlation model study delves into the dynamics of share economy business models, encompassing prominent platforms such as Uber, Careem, SWVL, and AIRLIFT. Participants include both drivers and consumers associated with these platforms.
Methodology
For this quantitative research, data is collected through questionnaires utilizing a nonprobability (convenience sampling) sampling technique. The study employs SPSS for data analysis, with multiple regression tools applied to the primary data gathered from the questionnaires. The chosen methodology seeks to provide decisive results supporting the predetermined research objectives.
Findings
Empirical evidence is presented to illustrate how social/physical distancing influences consumer spending patterns within the context of share economy business models in Pakistan. The study sheds light on the correlation between the identified variables and explores their implications on the share business models post-pandemic.
Conclusion
The research concludes by summarizing the key findings and insights derived from the study. It reflects on the implications of the inverse relationship observed between social/physical distancing and the share economy, offering a comprehensive  nderstanding of the challenges and opportunities faced by share business models during and after a pandemic.
Significance
This research contributes valuable insights to the academia and industry by offering practical guidance on safeguarding share business models during pandemics. The findings are expected to inform strategies for resilience and adaptation in the face of unforeseen challenges, particularly in the context of the COVID-19 pandemic.