Open AccessSelf-awareness and social self-supervision in online transportation industry
Author(s) -
Olfebri Olfebri,
Agus Suroso,
Refius Pradipta Setyanto,
M. Elfan Kaukab
Publication year - 2021
Publication title -
international journal of data and network science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.296
H-Index - 7
eISSN - 2561-8156
pISSN - 2561-8148
DOI - 10.5267/j.ijdns.2021.5.001
Subject(s) - self driving , globe , regression analysis , quality (philosophy) , business , psychology , transport engineering , advertising , marketing , applied psychology , computer science , engineering , philosophy , epistemology , machine learning , neuroscience
Online transportation has widely spread across the globe in the past three years. It provokes changes in transportation management. Driver’s quality improvement is crucial to prevent problems related to accidents and driver-passenger relationships. This paper employs regression analysis to identify the effect of driving attitude, self-awareness, and social self-supervision on aberrant driving behavior in online taxi drivers in Indonesia. One hundred Grab and Go-Jek drivers are selected from the DKI Jakarta area. Data are collected via questionnaires. Data analysis, as well as statistical calculation, reveals the negative effects of social self-supervision on aberrant driving behavior.