Author(s)

Hao Wang ¹, Zuraidah Zainol ¹

Affiliation(s)

¹ Faculty of Management and Economics, Universiti Pendidikan Sultan Idris, Perak, Malaysia

Corresponding Author

Zuraidah Zainol

ABSTRACT

This study aims to explore the impact of subjective norms and national financial policy support on Chinese consumers' willingness to purchase electric vehicles and their concern for environmental issues. The article elaborates on the research design in detail and outlines the overall methodology and strategy of the study. The study covers the target population and sample selection, and provides a detailed description of the definition of the research subjects and sampling techniques. The data collection method was explained, and the specific ways of obtaining data from respondents were elaborated. Ultimately, the study emphasized the importance of adhering to ethical standards and protecting the rights and interests of participants. This comprehensive methodology overview ensures transparency and clarity in the research process and procedures.

KEYWORDS

Subjective norms; National financial policy support; Electric vehicles; quantitative study

CITE THIS PAPER

Hao Wang, Zuraidah Zainol, Research on the Relationship between Subjective Norms and Financial Policy Support on Environmental Concerns to Purchase Electric Vehicles. Information Systems and Economics (2024) Vol. 5: 74-81. DOI: http://dx.doi.org/10.23977/infse.2024.050511.

REFERENCES

[1] Mertler, C. A. (2021). Introduction to Educational Research. SAGE Publications. https://books.google.com/ books? id=Mertler2021
[2] Denscombe, M. (2020). The Good Research Guide: For Small-Scale Social Research Projects. Open University Press. https://books.google.com/books?id=Denscombe2020
[3] Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610. 
[4] Jiang, L. (2020). Stratified sampling design and analysis. Statistical Solutions, 58(1), 22-35
[5] Wang, X., Liu, J., & Zhao, L. (2021). Cost-efficient sampling in quantitative research. Quantitative Methods in Psychology, 17(3), 175-189.
[6] Smith, J., & Davis, R. (2022). Survey Methodology Improvements and Innovations. Field Methods, 34(1), 58-72.
[7] Brown, T. A. (2021). Confirmatory Factor Analysis for Applied Research. Guilford Press.
[8] Kline, R. B. (2021). Principles and Practice of Structural Equation Modeling. Guilford publications.
[9] Chen, G. (2021). Multivariate Data Analysis: A Practical Guide. Routledge.

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