Factors affecting decision to purchase funds of listed securities companies of customers in Guilin City, Guangxi, China
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Abstract
The objectives of this study were: (1) to examine the behavior, experiences, and motivations of retail investors who decided to purchase mutual funds offered by registered securities companies in China, and (2) to analyze the roles of information perception, product understanding, and influences from media or close associates that affect investment decision-making. A qualitative research approach was employed, utilizing in-depth interviews with 15 retail investors in Guilin, Guangxi Province, selected through purposive sampling. All participants had at least six months of experience investing in mutual funds via digital platforms.
The findings reveal that retail investors tend to select investment products based on convenience and speed, relying more on fund rankings displayed on digital platforms, user reviews, and automated recommendation systems rather than conducting in-depth analyses of official financial documents. Their motivations include the desire to build financial stability, save for future goals, and experiment with investment trends emerging on social media. Several participants also indicated that trust in the platform or advice from close associates significantly influenced their initial investment experiences. The analysis of information perception, product understanding, and social or media influence further shows that investors’ information perception is shaped by digital platforms that present concise, easy-to-understand content that facilitates rapid decision-making. Although many investors possess basic knowledge of risks and fees, most cannot fully explain the underlying fund policies. Moreover, financial experts (KOLs), peers, and close associates play an important role in shaping investment decisions, particularly among young investors who actively follow content on online platforms such as WeChat, Xiaohongshu, and Bilibili.
Overall, the findings indicate that retail investor behavior in the digital era is strongly influenced by simplified information, automated recommendation systems, and trusted social sources rather than personal in-depth analysis. The insights obtained from this study can support the development of more effective communication strategies and marketing tools for securities companies, as well as contribute to designing financial literacy enhancement programs tailored to the needs of young investors.
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References
บุญญานันท์ วัฒนานุกร. (2566). พฤติกรรมและแรงจูงใจในการลงทุนของนักลงทุนรุ่นใหม่ในเขตกรุงเทพมหานคร. วารสารบริหารธุรกิจและนวัตกรรม, 9(2), 45–60.
ภาคภูมิ เรืองจิตต์. (2564). ความรู้ทางการเงินและการใช้เทคโนโลยีในการตัดสินใจลงทุนของนักลงทุนรายย่อย. วารสารวิจัยเศรษฐศาสตร์และการเงิน, 12(3), 33–47.
ศิริวรรณ แสงเดือน และคณะ. (2565). พฤติกรรมการตัดสินใจลงทุนของนักลงทุนรายย่อยในประเทศไทย. วารสารบริหารธุรกิจ, 15(1), 45–58.
สุพจน์ อาจแก้ว. (2565). อิทธิพลของบุคคลใกล้ชิดต่อการตัดสินใจลงทุนในกองทุนรวมของนักลงทุนรุ่นใหม่ในประเทศไทย.วารสารเศรษฐศาสตร์ธุรกิจ, 14(1), 22–39.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Chen, Y., & Hu, L. (2020). The impact of fintech on retail investor behavior in China. Journal of Financial Innovation, 6(1), 89–101.
Ding, H., Zhang, X., & Wu, Y. (2020). Consumer behavior on digital platforms: An empirical study based on case platforms. Academic Journal of Business & Management, 6(9), 191–203.
Li, X., & Wei, Z. (2022). Social media influencers and investor trust in digital fund platforms in China. International Journal of Bank Marketing, 40(6), 1112–1131.
Li, Y., Fu, R., & Li, J. (2024). Financial literacy and investment decision quality among urban Chinese investors. International Review of Economics & Finance, 92, 448–462.
OECD. (2016). OECD/INFE international survey of adult financial literacy competencies. OECD Publishing.
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer.
Qin, J. (2022). Analysis of different types of investors based on Maslow's theory. In Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED) (pp. 1350–1354). Atlantis Press. https://doi.org/10.2991/aebmr.k.220405.225
Sharma, A., & Sharma, M. (2023). Financial planning behavior among young Asian investors: The role of life goals and digital financial tools. Journal of Asian Finance, Economics and Business, 10(2), 71–82.
You, J., Liu, X., & Wang, H. (2023). Digital finance platforms and investment decision-making among young Chinese investors. Asian Journal of Finance & Economics, 14(2), 110–128.
Zhang, Y., & Xu, D. (2021). User interface and mutual fund selection behavior on Chinese platforms. Journal of Fintech Behavior, 8(2), 123–136.
Zhou, S., & Liu, X. (2022). Internet postings and investor herd behavior: Evidence from China’s open-end fund market. Humanities and Social Sciences Communications, 9, 441.