Bukan Sekadar Hemat : Explorasi Faktor Niat Adopsi Carpooling di Kalangan Pengguna Ridesharing Indonesia
DOI:
https://doi.org/10.55606/optimal.v5i2.5922Keywords:
Behavioral Reasoning Theory, Carpooling, Reason for, Reasons against, RidesharingAbstract
App-based carpooling services such as GrabCar Bareng offer potential for economic efficiency and environmental sustainability, but the adoption rate in Indonesia is still low. This study aims to explore the reasons why non-users refuse this service, even if they are familiar with ridesharing. Using a qualitative approach and thematic analysis based on interviews with 32 informants, this study identified three main reasons for adoption, namely economic benefits, environmental benefits, and social benefits, as well as six main reasons for rejection, namely time risk, social risk, privacy risk, comfort risk, security risk, and psychological risk. In addition, four situational and personal factors novelty seeking, altruistic value, time pressure, and preference for social contact were found to influence the power of these reasons. This research expands the application of Behavioral Reasoning Theory in the context of digital transportation services and provides practical implications for service developers to design communication strategies and service features that are responsive to user concerns.
References
Aguiléra, A., & Pigalle, E. (2021). The future and sustainability of carpooling practices. An identification of research challenges. Sustainability (Switzerland), Vol. 13. https://doi.org/10.3390/su132111824
Anthopoulos, L. G., & Tzimos, D. N. (2021). Carpooling platforms as smart city projects: A bibliometric analysis and systematic literature review. Sustainability (Switzerland), 13(19). https://doi.org/10.3390/su131910680
Baum, R., & Bieńkowski, J. (2020a). Eco-efficiency in measuring the sustainable production of agricultural crops. Sustainability (Switzerland), 12(4), 1418. https://doi.org/10.3390/su12041418
Baum, R., & Bieńkowski, J. (2020b). Eco-efficiency in measuring the sustainable production of agricultural crops. Sustainability (Switzerland), 12(4), 1418. https://doi.org/10.3390/su12041418
Bulc, M., & Bąk, A. (2020). Acceptance of carpooling from the point of view of individual car users: Psychological determinants. Sustainability, 12(19), 7910. https://doi.org/10.3390/su12197910
Byrne, D. (2021). A worked example of Braun and Clarke’s approach to reflexive thematic analysis. Quality & Quantity, 56, 1391–1412. https://doi.org/10.1007/s11135-021-01182-y
Chen, H., Li, H., Wang, Y., & Cheng, B. (2020). A comprehensive assessment approach for water-soil environmental risk during railway construction in ecological fragile region based on AHP and MEA. Sustainability (Switzerland), 12(19). https://doi.org/10.3390/SU12197910
Čulík, K., Kalašová, A., & Synák, F. (2021). Cost calculation and economic efficiency of carpooling. Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2021.06.026
de Palma, A., Stokkink, P., & Geroliminis, N. (2022). Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users. Transportation Research Part B: Methodological, 155. https://doi.org/10.1016/j.trb.2021.11.005
Dhir, A., Koshta, N., Goyal, R. K., Sakashita, M., & Almotairi, M. (2021). Behavioral reasoning theory (BRT) perspectives on E-waste recycling and management. Journal of Cleaner Production, 280. https://doi.org/10.1016/j.jclepro.2020.124269
Ellyzabeth Sukmawati, Iwan Adhicandra, & Nur Sucahyo. (2022). Information System Design of Online-Based Technology News Forum. International Journal Of Artificial Intelligence Research, 1.2. https://doi.org/https://doi.org/10.29099/ijair.v6i1.2.593
Gupta, A., & Arora, N. (2017). Consumer adoption of m-banking: a behavioral reasoning theory perspective. International Journal of Bank Marketing, 35(4). https://doi.org/10.1108/IJBM-11-2016-0162
Haroon, W., Khan, M. A., Ilyas, Z., Almujibah, H. R., Zubair, M. U., Ashfaq, M., & Hamza, M. (2024). Analyzing young adult travelers’ perception and impacts of carpooling on traffic sustainability. Sustainability. https://doi.org/10.3390/su16146098
Julagasigorn, P., Banomyong, R., Grant, D. B., & Varadejsatitwong, P. (2021). What encourages people to carpool? A conceptual framework of carpooling psychological factors and research propositions. Transportation Research Interdisciplinary Perspectives, 12. https://doi.org/10.1016/j.trip.2021.100493
Kapser, S., & Abdelrahman, M. (2020). Acceptance of autonomous delivery vehicles for last-mile delivery in Germany – Extending UTAUT2 with risk perceptions. Transportation Research Part C: Emerging Technologies, 111, 210–225. https://doi.org/10.1016/j.trc.2019.12.016
Kong, Q., Jiang, C., & Ng, A. K. Y. (2021). The economic impacts of restricting black carbon emissions on cargo shipping in the Polar Code Area. Transportation Research Part A: Policy and Practice, 147, 159–176. https://doi.org/10.1016/j.tra.2021.02.017
Li, Y., & Guo, H. (2022). Sustainable development of shared mobility in China in relation to the privacy paradox of users. Journal of Advanced Transportation. https://doi.org/10.1155/2022/7588929
Lin, C. P., & Bhattacherjee, A. (2010). Extending technology usage models to interactive hedonic technologies: A theoretical model and empirical test. Information Systems Journal, 20(2), 163–181. https://doi.org/10.1111/j.1365-2575.2007.00265.x
Litman, T. (2021). Transportation and public health. Annual Review of Public Health, 34, 217–233. https://doi.org/10.1146/annurev-publhealth-031912-114502
Liu, X., Yan, X., Liu, F., Wang, R., & Leng, Y. (2019). A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data. Applied Energy. https://doi.org/10.1016/j.apenergy.2019.02.003
Liu, Y., Chen, J. V, & Li, H. (2020). Understanding ride-hailing intention of Chinese travelers: A PLS-SEM approach. Sustainability, 12(4), 1418. https://doi.org/10.3390/su12041418
Lowe, W., & Piantanakulchai, M. (2023). Investigation of behavioral influences of carpool adoption for educational trips - A case study of Thammasat University, Thailand. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2023.100970
Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, … Bi Y. (2020). Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet, 395(10224), 565–574.
Marchiori, D. M., Rodrigues, R. G., Popadiuk, S., & Mainardes, E. W. (2022a). The relationship between human capital, information technology capability, innovativeness and organizational performance: An integrated approach. Technological Forecasting and Social Change, 177. https://doi.org/10.1016/j.techfore.2022.121526
Marchiori, D. M., Rodrigues, R. G., Popadiuk, S., & Mainardes, E. W. (2022b). The relationship between human capital, information technology capability, innovativeness and organizational performance: An integrated approach. Technological Forecasting and Social Change, 177. https://doi.org/10.1016/j.techfore.2022.121526
Mitropoulos, L., Kortsari, A., & Ayfantopoulou, G. (2021). Factors affecting drivers to participate in a carpooling to public transport service. Sustainability (Switzerland), 13(16). https://doi.org/10.3390/su13169129
Molina, J. A., Ignacio Giménez-Nadal, J., & Velilla, J. (2020). Sustainable commuting: Results from a social approach and international evidence on carpooling. Sustainability (Switzerland), 12(22). https://doi.org/10.3390/su12229587
Nasution, R. A., Siregar, H. S., & Nawangsari, L. C. (2020). Understanding the adoption of Grab ride-hailing in Indonesia: Technology acceptance model approach. Jurnal Teknik Industri, 22(2), 113–121. https://doi.org/10.9744/jti.22.2.113-121
Nasution, R. A., Siregar, H. S., & Nawangsari, L. C. (2020a). Understanding the adoption of Grab ride-hailing in Indonesia: Technology acceptance model approach. Jurnal Teknik Industri, 22(2), 113–121. https://doi.org/https://doi.org/10.9744/jti.22.2.113-121
Nasution, R. A., Siregar, H. S., & Nawangsari, L. C. (2020b). Understanding the adoption of Grab ride-hailing in Indonesia: Technology acceptance model approach. Jurnal Teknik Industri, 22(2), 113–121. https://doi.org/https://doi.org/10.9744/jti.22.2.113-121
Rey-Merchán, M. del C., López-Arquillos, A., & Pires Rosa, M. (2022). Carpooling Systems for Commuting among Teachers: An Expert Panel Analysis of Their Barriers and Incentives. International Journal of Environmental Research and Public Health, 19(14). https://doi.org/10.3390/ijerph19148533
Sahu, A. K., Padhy, R. K., & Dhir, A. (2020). Envisioning the future of behavioral decision-making: A systematic literature review of behavioral reasoning theory. Australasian Marketing Journal, 28(4). https://doi.org/10.1016/j.ausmj.2020.05.00
Shaheen, S., & Cohen, A. (2019). Shared ride services in North America: Definitions, impacts, and the future of pooling. Transport Reviews, 39(4), 427–442. https://doi.org/10.1080/01441647.2018.1497728
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and A path forward. California Management Review, 61(4). https://doi.org/10.1177/0008125619867910
Tian, C., Tu, K., Sui, H., & Sun, Q. (2024). Value co-creation in shared mobility: The case of carpooling in China. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2024.123481
Wang, Y., Wang, Y., Wang, Y., & Li, Y. (2019). Factors affecting carpooling intention among Chinese college students. Sustainability, 11(8), 2273. https://doi.org/10.3390/su11082273
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 OPTIMAL Jurnal Ekonomi dan Manajemen
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
