Does Job Satisfaction Influence the Productivity of Ride-Sourcing Drivers? A Hierarchical Structural Equation Modelling Approach for the Case of Bandung City Ride-Sourcing Drivers

Abstract

With various benefits being offered by ride-sourcing companies, Indonesian cities have experienced a substantial increase in the number of ride-sourcing drivers in the past five years. However, with tense working conditions, there is a question as to how drivers perceive their work satisfaction and how this satisfaction influences their productivity. This study aims to investigate the factors that influence ride-sourcing drivers’ job satisfaction and productivity. For this purpose, a questionnaire was distributed to ride-sourcing drivers in 2019 and analysed using hierarchical structural equation modelling (SEM). Wage competitiveness and financial safety are found to be appreciated the most by ride-sourcing drivers, while undertaking multiple jobs tends to be associated with low satisfaction. Satisfaction is also found to positively influence trip productivity. Drivers who perceive themselves as being exposed to health and safety risks tend to have lower satisfaction.

A Study on the Impact of Higher Education Expansion on Human Capital Accumulation and Economic Development - An Empirical Analysis Based on Structural Equation Model

“…Because the scale of higher education, human capital accumulation, and economic development cannot be evaluated by a single indicator, and because the variables are multidimensional and comprehensive, it is difficult for traditional analytical methods to measure the relationship between the three and obtain accurate results. In contrast, structural equation modeling can establish a complex multivariate relationship based on the covariance matrix of variables and simulate the internal logic between multiple factors, which can effectively deal with such problems [13][14][15]. Structural equation modeling can be used to study plan demand structure to explain quantitative relationships among multiple variables, simplify complex models, and reasonably deal with ambiguities in quantifying demand factors to provide an impact basis for scale expansion [16][17][18].…”

Exploring the Substitution Effect of Ride-Sourcing in Commuting and Transport Stations Trips: Learning from Evidence in Bandung City, Indonesia

“…The rise of ride-sourcing has challenged the existing transportation system and has resulted in changes in public and private transport users [1]- [6]. This has attracted researchers from various disciplines to investigate the effect of ride-sourcing on the use of public and private transportation [7], [8] and its impact on the environment [9], [10].…”