Analysis of Consumer Attitude Towards Online Transportation in Banjarmasin
- DOI
- 10.2991/978-2-38476-112-8_7How to use a DOI?
- Keywords
- Consumer Attitudes; Online Transportation; Ideal Point Models
- Abstract
Using online transportation modes is one of the important aspects necessary in supporting community mobility. The purpose of this study was to determine consumers’ attitudes toward online transportation brands from various applications operating in the city of Banjarmasin. The population of this study is the academic community of FEBI UIN Antasari, who have used online transportation modes such as Gojek, Grab, and Maxim. The researchers do not perceive population size with certainty and set sampling using a non-probability approach and the judgment method. The method for measuring this attitude is the Ideal Points Model. The study found that the results of respondents’ attitudes toward the three modes of online transportation were very good, with GoCar values of 14.13, GrabCar 16.14, and Maxim 17.26. The lowest value is on GoCar, which means GoCar gets the best attitude.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rohana Faridah AU - Muhammad Yulian Mamun AU - Muhammad Qamaruddin AU - Naimah AU - Badrian PY - 2023 DA - 2023/12/05 TI - Analysis of Consumer Attitude Towards Online Transportation in Banjarmasin BT - Proceedings of the International Conference on Sustainability in Technological, Environmental, Law, Management, Social and Economic Matters (ICOSTELM 2022) PB - Atlantis Press SP - 54 EP - 60 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-112-8_7 DO - 10.2991/978-2-38476-112-8_7 ID - Faridah2023 ER -