CRYPTOCURRENCY PLATFORM SELECTION IN THAILAND

Authors

  • Suwapat Boonkunapong Rangsit University
  • Tanpat Kraiwanit Rangsit University

Keywords:

Cryptocurrency Trading, Selection, Platform

Abstract

This research aimed to investigate cryptocurrency platform selection of investors who trade cryptocurrency. Data were collected online from 648 people with the age of 18 years and above who use cryptocurrency platforms. The study result found education level, income, how to use, and platform could forecast the model correctly 72%. Suggestions for research result application are as follow: In terms of business suggestions, platform developers who would like to promote attitude towards using platforms should strengthen perceived usefulness by letting users perceive that the platforms enable them to trade cryptocurrency at any place and any time, including encouraging users to perceive that the platforms have popular currencies and diversity of currencies. In addition, platform developers should enhance perceived ease of use in applying and using by oneself, such as preparing public relations media to promote perceived usefulness and perceived ease of use to ensure users have a positive attitude towards how to use the platforms. In terms of academic suggestions, E-banking experience and E-wallet experience were not brought to this study. Thus, an additional study on this matter should be conducted in future research.

References

Chutipat, W., & Sonsuphap, R. (2020). Applying Blockchain for Transparency in Real Estate Sector. NACC Journal, 13(2), 30-40.

Cochran, W. G. (1977). Sampling techniques. New York: John Wiley & Sons.

Coinmarketcap. (2021). Cryptocurrencies. Retrieved from https://coinmarketcap.com.

Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1990). Consumer Behavior. USA: Dryden Press.

Khitasanga, S., & Kraiwanich, T. (2021). Factors Affecting Cognition in Defi: Decentralized Finance. In The 16th RSU National Graduate Research Conference, (pp. 2022-2029). Thailand: Rangsit University.

Office of the Royal Thai Council. (2019). Computer terminology and information technology Royal Thai Council edition. Retrieved from https://www.facebook. com/pg/RatchabanditThai /photos/?tab=a lbum&albumid=2527569647301115.

Limna, P., Kraiwanit, T., & Siripipatthanakul, S. (2022). The Growing Trend of Digital Economy: A Review Article. International Journal of Computing Sciences Research, 6.

Schiffman, L. G., & Kanuk, L. L. (1987). Consumer Behavior. New Jersey: Prentic-Hall.

Srinuan. K. (2016). A Study of Personal Characteristics Investment Behaviors and Investment Motivation of Thai Investors Affecting Decision Making in the Stock Exchange of Thailand. Master thesis, Faculty of Business, Bangkok University.

Teerasakdapong. A. (2016). An analysis of factors affecting the Intention to use bitcoin. Master of Science, IT Policies and Management, College of Innovation, Thammasat University.

The Securities and Exchange Commission. (2021). Weekly report of the digital asset market summary. Retrieved from https://www.sec.or.th/TH/Pages/WEEKLYREPORT-2564-08.aspx.

Worakitpokatorn, P. (1996). Principles and Theory of Communication. Nonthaburi: Sukhothai Thammathirat Open University Press.

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Published

2022-12-29

Issue

Vol. 8 No. 2 (2022): July-December, 2022

Section

Research Articles

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