Cutting the clutter: how minimalism drives customer citizenship behaviour within the sharing economy-based services

Abstract

Purpose

Using the stimulus-organism-response (SOR) theory, this study explores the effect of religiosity, resource sharing and environmental attitudes on minimalist behaviour in sharing economy-based services and its subsequent influence on customer citizenship behaviour.

Design/methodology/approach

This research employed a descriptive, quantitative and cross-sectional design, examining data from 530 Indian tourists who used sharing economy-based services. The proposed conceptual model was evaluated through partial least squares-structural equation modelling (PLS-SEM), and the impact of control variables was examined via PLS-multi-group analysis (PLS-MGA).

Findings

The study findings validated that religiosity, resource sharing and environmental attitudes significantly foster minimalist behaviour in sharing economy-based services. This minimalist behaviour, in turn, positively impacts customer citizenship behaviour, affecting aspects such as tolerance, feedback, advocacy and assistance to others. The model's outcomes also indicated the substantial moderating roles of age and gender.

Originality/value

This study is novel in its exploration of how religiosity, resource sharing and environmental attitudes as stimuli can shape minimalist behaviour within sharing economy-based services and further influence customer citizenship behaviour. By uncovering the significant roles of age and gender in this context, the research offers unique insights into understanding the dynamics of consumer behaviour within the burgeoning sharing economy. The findings provide valuable direction for stakeholders in the sharing economy and policymakers aiming to cultivate positive consumer behaviours and advance the sector's sustainability.

Citation

Rasheed, A.K.F. and Balakrishnan, J. (2023), "Cutting the clutter: how minimalism drives customer citizenship behaviour within the sharing economy-based services", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-08-2023-1387