Exploring continuance intention to use electric motorcycles among students in Hanoi using expectation confirmation theory

  • Minh Ngoc Ngo

    University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam
  • Le Ha Phuong Hoang

    University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam
  • Duc Manh Nguyen

    University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam
  • Anh Duong Khuc

    University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam
  • Thanh Tung Tran

    University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam
  • Van Hao Hoang

    Campus in Ho Chi Minh City, University of Transport and Communications, No. 450-451 Le Van Viet street, Tang Nhon Phu A ward, Thu Duc City, Ho Chi Minh City, Vietnam
  • Minh Hieu Nguyen

    University of Transport and Communications, No 3 Cau Giay Street, Hanoi, Vietnam
Email: hieunm@utc.edu.vn
Từ khóa: PLS-SEM, students, electric motorcycles, developing countries, expectation confirmation theory

Tóm tắt

To sustain the development of urban transportation, electrifying private motorized vehicles is a top goal besides the development of public transport. This study aims at investigating the influential factors of continuance intention to use electric motorcycles based on an extension of Expectation Confirmation Theory (ECT). To empirically test the proposed conceptual framework, Partial Least Squares Structural Equation Modeling (PLS-SEM) and the data of 394 students in Hanoi collected in August 2022 are used. The results show that perceived usefulness and satisfaction directly facilitate the continuance intention while perceived ease of use and expectation confirmation have indirect positive effects. Female students tend to have less intention to continue using electric motorcycles while those living in non-urban districts seem to have a higher continuance intention. The prediction capacity of the model is high with over 65% of the variance of continuance intention being explained by (independent) constructs. Based on the findings of influential factors, the authors propose practical implications for triggering the use of electric motorcycles among students

Tài liệu tham khảo

[1].G. Santos, Road transport and CO2 emissions: What are the challenges?, Transport Policy, 59 (2017) 71–74. https://doi.org/10.1016/j.tranpol.2017.06.007.
[2].S. Bamberg, I. Ajzen, P. Schmidt, Choice of Travel Mode in the Theory of Planned Behavior: The Roles of Past Behavior, Habit, and Reasoned Action, Basic and Applied Social Psychology, 25 (2003) 175–187. https://doi.org/10.1207/S15324834BASP2503_01.
[3].A. Khattak, X. Wang, S. Son, P. Agnello, Travel by University Students in Virginia: Is This Travel Different from Travel by the General Population?, Transportation Research Record, 2255 (2011) 137–145. https://doi.org/10.3141/2255-15.
[4].M.H. Nguyen, D. Pojani, Why are Hanoi students giving up on bus ridership?, Transportation, in press (2022). https://doi.org/10.1007/s11116-021-10262-9.
[5].X. Chen, Statistical and activity-based modeling of university student travel behavior, Transportation Planning and Technology, 35 (2012) 591–610. https://doi.org/10.1080/03081060.2012.701818.
[6].D. Pojani, D. Stead, eds., The Urban Transport Crisis in Emerging Economies, Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-43851-1.
[7].J. Yang, D. Jong, Understanding Continuance Intention Determinants to Adopt Online Health Care Community: An Empirical Study of Food Safety, Int J Environ Res Public Health, 18 (2021) 6514. https://doi.org/10.3390/ijerph18126514.
[8].N. Ahmad, A. Omar, T. Ramayah, Consumer lifestyles and online shopping continuance intention, Business Strategy Series, 11 (2010) 227–243. https://doi.org/10.1108/17515631011063767.
[9].C. Hoffmann, C. Abraham, M.P. White, S. Ball, S.M. Skippon, What cognitive mechanisms predict travel mode choice? A systematic review with meta-analysis, Transport Reviews, 37 (2017) 631–652. https://doi.org/10.1080/01441647.2017.1285819.
[10].H. Si, X. Duan, L. Cheng, Z. Zhang, Determinants of consumers’ continuance intention to use dynamic ride-sharing services, Transportation Research Part D: Transport and Environment, 104 (2022) 103201. https://doi.org/10.1016/j.trd.2022.103201.
[11].C.S. Lin, S. Wu, R.J. Tsai, Integrating perceived playfulness into expectation-confirmation model for web portal context, Information & Management, 42 (2005) 683–693. https://doi.org/10.1016/j.im.2004.04.003.
[12].M.-C. Lee, Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model, Computers & Education, 54 (2010) 506–516. https://doi.org/10.1016/j.compedu.2009.09.002.
[13].I.A. Ambalov, A meta-analysis of IT continuance: An evaluation of the expectation-confirmation model, Telematics and Informatics, 35 (2018) 1561–1571. https://doi.org/10.1016/j.tele.2018.03.016.
[14].F.D. Davis, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13 (1989) 319–340. https://doi.org/10.2307/249008.
[15].F. Liao, E. Molin, B. van Wee, Consumer preferences for electric vehicles: a literature review, Transport Reviews, 37 (2017) 252–275. https://doi.org/10.1080/01441647.2016.1230794.
[16].F. Alsohime, M.-H. Temsah, A. Al-Eyadhy, F.A. Bashiri, M. Househ, A. Jamal, G. Hasan, A.A. Alhaboob, M. Alabdulhafid, Y.S. Amer, Satisfaction and perceived usefulness with newly-implemented Electronic Health Records System among pediatricians at a university hospital, Computer Methods and Programs in Biomedicine, 169 (2019) 51–57. https://doi.org/10.1016/j.cmpb.2018.12.026.
[17].A. Bhattacherjee, Understanding Information Systems Continuance: An Expectation-Confirmation Model, MIS Quarterly, 25 (2001) 351. https://doi.org/10.2307/3250921.
[18].A.A. Daneji, A.F.M. Ayub, M.N. Khambari, The effects of perceived usefulness, confirmation and satisfaction on continuance intention in using massive open online course (MOOC), (n.d.) 15.
[19].M. Zviran, N. Pliskin, R. Levin, Measuring User Satisfaction and Perceived Usefulness in the ERP Context, Journal of Computer Information Systems, 45 (2005) 43–52. https://doi.org/10.1080/08874417.2005.11645842.
[20].Ali Akbar Esmaeili, Baran Aryaee Manesh, Ebrahim Golshan, Service Quality,Customer Satisfaction and Customer Loyalty in RAJA Rail Transportation Company, International Research Journal of Applied and Basic Sciences, 5 (2013) 347–352.
[21].W.-Y. Tsao, Application of Expectation Confirmation Theory to Consumers’ Impulsive Purchase Behavior for Products Promoted by Showgirls in Exhibits, Journal of Promotion Management, 19 (2013) 283–298. https://doi.org/10.1080/10496491.2013.770811.
[22].J. Lee, Y.-K. Kim, Online Reviews of Restaurants: Expectation-Confirmation Theory, Journal of Quality Assurance in Hospitality & Tourism, 21 (2020) 582–599. https://doi.org/10.1080/1528008X.2020.1712308.
[23].N.M. Machdar, THE EFFECT OF INFORMATION QUALITY ON PERCEIVED USEFULNESS AND PERCEIVED EASE OF USE, Business and Entrepreneurial Review, 15 (2016) 131–146. https://doi.org/10.25105/ber.v15i2.4630.
[24].S.-Y. Chen, Using the sustainable modified TAM and TPB to analyze the effects of perceived green value on loyalty to a public bike system, Transportation Research Part A: Policy and Practice, 88 (2016) 58–72. https://doi.org/10.1016/j.tra.2016.03.008.
[25].S.A. Obregón Biosca, College student mobility in emerging countries: Case study on Universidad Autónoma de Querétaro, México, Transportation Research Interdisciplinary Perspectives, 6 (2020) 100155. https://doi.org/10.1016/j.trip.2020.100155.
[26].K.E. Whalen, A. Páez, J.A. Carrasco, Mode choice of university students commuting to school and the role of active travel, Journal of Transport Geography, 31 (2013) 132–142. https://doi.org/10.1016/j.jtrangeo.2013.06.008.
[27].M. Coffman, P. Bernstein, S. Wee, Electric vehicles revisited: a review of factors that affect adoption, Transport Reviews, 37 (2017) 79–93. https://doi.org/10.1080/01441647.2016.1217282.
[28].S.Z. Rajper, J. Albrecht, Prospects of Electric Vehicles in the Developing Countries: A Literature Review, Sustainability, 12 (2020) 1906. https://doi.org/10.3390/su12051906.
[29].Y. Wang, S. Wang, J. Wang, J. Wei, C. Wang, An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model, Transportation, 47 (2020) 397–415. https://doi.org/10.1007/s11116-018-9893-4.
[30].M.H. Nguyen, T.T. Ha, S.S. Tu, T.C. Nguyen, Impediments to the bus rapid transit implementation in developing countries – a typical evidence from Hanoi, International Journal of Urban Sciences, 4 (2019) 464–483. https://doi.org/10.1080/12265934.2019.1577747.
[31].M.H. Nguyen, D. Pojani, The emergence of recreational cycling in Hanoi during the Covid-19 pandemic, Journal of Transport & Health, 24 (2022) 101332. https://doi.org/10.1016/j.jth.2022.101332.
[32].M.H. Nguyen, D. Pojani, T.C. Nguyen, T.T. Ha, The impact of Covid-19 on children’s active travel to school in Vietnam, Journal of Transport Geography, (2021) 103191. https://doi.org/10.1016/j.jtrangeo.2021.103191.
[33].A.T. Le, T.Y.L. Nguyen, D.T. Do, Study of electric mobility development in Viet Nam, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, 2021. https://changing-transport.org/wp-content/uploads/Electric-mobility-assessment_Final-report_EN_210813-1.pdf.
[34].J.C. Anderson, D.W. Gerbing, Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, 103 (1988) 411–423. https://doi.org/10.1037/0033-2909.103.3.411.
[35].J. F. Hair Jr, M. Sarstedt, L. Hopkins, V. G. Kuppelwieser, Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research, European Business Review, 26 (2014) 106–121. https://doi.org/10.1108/EBR-10-2013-0128.
[36].J.F. Hair, J.J. Risher, M. Sarstedt, C.M. Ringle, When to use and how to report the results of PLS-SEM, European Business Review, 31 (2019) 2–24. https://doi.org/10.1108/EBR-11-2018-0203.
[37].D. Quy Nguyen-Phuoc, N. An Ngoc Nguyen, M.H. Nguyen, L. Ngoc Thi Nguyen, O. Oviedo-Trespalacios, Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model, Transportation Research Part A: Policy and Practice, 166 (2022) 541–556. https://doi.org/10.1016/j.tra.2022.11.002.
[38].D. Quy Nguyen-Phuoc, L. Ngoc Thi Nguyen, D. Ngoc Su, M.H. Nguyen, O. Oviedo-Trespalacios, Deadly meals: The influence of personal and job factors on burnout and risky riding behaviours of food delivery motorcyclists, Safety Science, 159 (2023) 106007. https://doi.org/10.1016/j.ssci.2022.106007.
[39].J.F. Hair, G.T. Hult, C.M. Ringle, M. Sarstedt, eds., A primer on partial least squares structural equation modeling (PLS-SEM), Second edition, Sage, Los Angeles, 2017.
[40].J.F. Hair, J.J. Risher, M. Sarstedt, C.M. Ringle, When to use and how to report the results of PLS-SEM, European Business Review, 31 (2019) 2–24. https://doi.org/10.1108/EBR-11-2018-0203.
[41].C. Fornell, D.F. Larcker, Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research, 18 (1981) 39–50. https://doi.org/10.2307/3151312.
[42].L. Hu, P.M. Bentler, Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification, Psychological Methods, 3 (1998) 424–453. https://doi.org/10.1037/1082-989X.3.4.424.
[43].F. Tung, S. Chang, C. Chou, An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry, International Journal of Medical Informatics, 77 (2008) 324–335. https://doi.org/10.1016/j.ijmedinf.2007.06.006.
[44].J.Y. Choe, J.J. Kim, J. Hwang, Innovative marketing strategies for the successful construction of drone food delivery services: Merging TAM with TPB, Journal of Travel & Tourism Marketing, 38 (2021) 16–30. https://doi.org/10.1080/10548408.2020.1862023.
[45].N. Muzinich, A. Pecotich, S. Putrevu, A model of the antecedents and consequents of female fashion innovativeness, Journal of Retailing and Consumer Services, 10 (2003) 297–310. https://doi.org/10.1016/S0969-6989(02)00060-7.
[46].X. Huang, Y. Lin, M.K. Lim, M.-L. Tseng, F. Zhou, The influence of knowledge management on adoption intention of electric vehicles: perspective on technological knowledge, Industrial Management & Data Systems, 121 (2021) 1481–1495. https://doi.org/10.1108/IMDS-07-2020-0411.

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