PENGETAHUAN KENDARAAN HIBRIDA DAN KEPERDULIAN LINGKUNGAN MEMPENGARUHI NIAT PEMBELIAN TERHADAP KENDARAAN HIBRIDA

Sylvia Samuel, Daniel Widjaja

Abstract


Kendaraan hibrida merupakan salah satu solusi untuk mengurangi ancaman degradasi lingkungan. Penelitian ini bertujuan untuk menganalisis pengaruh kepedulian lingkungan dan pengetahuan kendaraan hibrida terhadap niat beli kendaraan hibrida di Indonesia. Sampel sebanyak 396 pemilik mobil di Indonesia telah dikumpulkan untuk memprediksi niat membeli kendaraan hibrida dengan menggunakan Theory Planned Behavior. Hasil empiris menunjukkan bahwa kepedulian lingkungan dan pengetahuan kendaraan hibrida secara langsung mempengaruhi niat beli yang dimediasi oleh sikap, dan persepsi kontrol perilaku.


Keywords


Environmental Concern; Knowledge of Hybrid Vehicle; Purchase Intention

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References


Abdrakhmanov, R., & Adouane, L. (2017). Dynamic Programming Resolution and Database Knowledge for Online Predictive Energy Management of Hybrid Vehicles. 1(Icinco), 978–989. https://doi.org/10.5220/0006437301320143

Almeida Neves, S., Cardoso Marques, A., & Alberto Fuinhas, J. (2019). Technological progress and other factors behind the adoption of electric vehicles: Empirical evidence for EU countries. Research in Transportation Economics, 74(November 2017), 28–39. https://doi.org/10.1016/j.retrec.2018.12.001

Alzahrani, K., & Amy, A. H. (2017). Applying the theory of reasoned action to understanding consumers ’ intention to adopt hybrid electric vehicles in Saudi Arabia. Transportation. https://doi.org/10.1007/s11116-017-9801-3

Alzahrani, K., Hall-Phillips, A., & Zeng, A. Z. (2019). Applying the theory of reasoned action to understanding consumers’ intention to adopt hybrid electric vehicles in Saudi Arabia. Transportation, 46(1), 199–215. https://doi.org/10.1007/s11116-017-9801-3

Chiba, K., Kanazaki, M., Nakamiya, M., & Kitagawa, K. (2014). Diversity of design knowledge for launch vehicle in view of fuels on hybrid rocket engine. 8(3), 1–14. https://doi.org/10.1299/jamdsm.2014jamdsm00

Coca-st, J. A., Fazal, S. A., & Mohiuddin, M. (2013). The Determinants of Hybrid Vehicle Adoption: Malaysia Perspective. Australian Journal of Basic and Applied Sciences, 447–454.

Daryanto, A., de Ruyter, K., & Wetzels, M. (2010). Getting a discount or sharing the cost: The influence of regulatory fit on consumer response to service pricing schemes. Journal of Service Research, 13(2), 153–167. https://doi.org/10.1177/1094670509351566

Delang, C. O., & Cheng, W. (2020). Consumers ’ attitudes towards electric cars : A case study of Hong Kong. TRANSPORTATION RESEARCH PART D, 17(6), 492–494. https://doi.org/10.1016/j.trd.2012.04.004

Dimitropoulos, A. (2014). The Influence of Environmental Concerns on Drivers ’ Preferences for Electric Cars.

GAIKINDO. (2022). Indonesian Automobile Industry Data – GAIKINDO. Gaikindo.or.Id.

Garson, G. D. (2016). Partial Least Squares: Regression & Structural Equation Models. Statistical Associates Publishing.

Ghozali, I. (2018). Aplikasi Analisis Multivariate Dengan Program IBM SPSS (9th ed.). Badan Penerbit Universitas Diponegoro.

Hair, Joe F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109(August 2019), 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069

Hair, Joe F., Hult, T., & Ringle, Christian M. Sardest, Marko. Danks, Nicholas P Ray, S. (2022). Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. In Structural Equation Modeling: A Multidisciplinary Journal (Vol. 30, Issue 1). https://doi.org/10.1080/10705511.2022.2108813

Hair, Joseph F, Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (Eight Edit). Cengage.

Hamzah, M. I., & Tanwir, N. S. (2021). Do pro-environmental factors lead to purchase intention of hybrid vehicles? The moderating effects of environmental knowledge. Journal of Cleaner Production, 279. https://doi.org/10.1016/j.jclepro.2020.123643

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382

Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Using Pls Path Modeling In New Technology Research : Updated Guidelines. Industrial Management & Data Systems, 116(1), 2–20.

Higueras-Castillo, E., Liébana-Cabanillas, F. J., Muñoz-Leiva, F., & García-Maroto, I. (2019). Evaluating consumer attitudes toward electromobility and the moderating effect of perceived consumer effectiveness. Journal of Retailing and Consumer Services, 51(July), 387–398. https://doi.org/10.1016/j.jretconser.2019.07.006

Hill, R. J., Fishbein, M., & Ajzen, I. (1977). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Contemporary Sociology, 6(2), 244. https://doi.org/10.2307/2065853

Islam, S., Moeinzadeh, S., Tseng, M., & Tan, K. (2020). A literature review on environmental concerns in logistics : trends and future challenges. International Journal of Logistics: Research and Applications, 0(0), 1–26. https://doi.org/10.1080/13675567.2020.1732313

Japan Automobile Manufacturers Association. (2020). Japan Automobile Manufacturers Association.

Junquera, B., Moreno, B., & Álvarez, R. (2016). Technological Forecasting & Social Change Analyzing consumer attitudes towards electric vehicle purchasing intentions in Spain : Technological limitations and vehicle con fi dence. Technological Forecasting & Social Change, 109, 6–14. https://doi.org/10.1016/j.techfore.2016.05.006

Kenis, A., & Lievens, M. (2015). Greening the Economy or Economizing the Green Project ? When Environmental Concerns Are Turned into a Means to Save the Market. https://doi.org/10.1177/0486613415591803

Li, W., Long, R., Chen, H., & Geng, J. (2017). A review of factors in fl uencing consumer intentions to adopt battery electric vehicles. Renewable and Sustainable Energy Reviews, 78(December 2016), 318–328. https://doi.org/10.1016/j.rser.2017.04.076

Maghfiroh, M. F. N., Pandyaswargo, A. H., & Onoda, H. (2021). Current readiness status of electric vehicles in indonesia: Multistakeholder perceptions. Sustainability (Switzerland), 13(23), 1–25. https://doi.org/10.3390/su132313177

Mahalana, A., Yang, Z., Posada, F., & (ICCT), I. C. on C. T. (2021). Indonesia transport electrification strategy. Working Paper, 202136, 21p.

Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly: Management Information Systems, 30(1), 115–143. https://doi.org/10.2307/25148720

Roberts, R., Flin, R., Millar, D., & Corradi, L. (2021). Psychological factors influencing technology adoption: A case study from the oil and gas industry. Technovation, 102, 102219. https://doi.org/10.1016/j.technovation.2020.102219

Sajjad, A., Asmi, F., Chu, J., & Anwar, M. A. (2020). Environmental concerns and switching toward electric vehicles : geographic and institutional perspectives.

Sekaran, U., & Bougie, R. (2019). Research Methods for Business: A Skill Building Approach (Eighth Edi). John WIley & Sons.

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189

Sugiyono. (2018). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.

Turyahikayo, E., Pillay, V., & Muhenda, M. B. (2021). Antecedents of knowledge sharing behaviour in the public sector. Electronic Journal of Knowledge Management, 19(1), 33–42. https://doi.org/10.34190/EJKM.19.1.2195

Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Wang, S., Fan, J., Zhao, D., Yang, S., & Fu, Y. (2016). Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model. Transportation, 43(1), 123–143. https://doi.org/10.1007/s11116-014-9567-9

Wu, Z., & Wang, M. (2019). Genetic algorithms for task assignments in logistic warehouses. International Journal of Modelling in ….

Yong, N. L., Ariffin, S. K., Nee, G. Y., & Wahid, N. A. (2017). A Study of Factors influencing Consumer’s Purchase Intention toward Green Vehicles: Evidence from Malaysia. Global Business & Management Research, 9(4), 281–297.


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