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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Determinants Influencing Housing-Option Decision of Gen Y: The Case of Vietnam

Determinants Influencing Housing-Option Decision of Gen Y: The Case of Vietnam

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2023, v.21 no.7, pp.51-63
https://doi.org/https://doi.org/10.15722/jds.21.07.202307.51
Ha Thu LUONG (School of Advanced Education programs, National Economics University)
Dung Manh TRAN (Deputy Editor-In-Chief, Journal of Economics and Development, National Economics University)
Dan Linh Ngoc NGUYEN (School of Advanced Education programs, National Economics University)
Van Bao NGUYEN (School of Advanced Education programs, National Economics University)
Anh Thuc LE (School of Advanced Education programs)
Hieu Van PHAM (Faculty of Economics, Hanoi University of Business and Technology)

Abstract

Housing is not only a basic requirement, but also a method to maintain stability and improve living. In the period of rapid social development which has a significant impact on the aging population, the housing issue is an impediment to Gen Y in Asia. Therefore, solving the housing conundrum is the most effective solution to other social problems. Purpose: This research is conducted to investigate factors influencing housing-option decisions of Gen Y and proposes recommendations to them as well as Governments and the real estate investors. Research design, data, and methodology: The Theory of Planned Behavior was employed with the expanded variables (Financial status, Location, Public services and Government incentives) based on literature review. Results: With 445 valid responses, almost all proposed hypotheses are accepted, which supports the positive interrelationship among variables. In the stage of data processing, we have determined the influence of each factor to the dependent variable "Actual Behavior", thereby helping real estate investors understand their desires, as well as improve the ability to meet customer needs. Conclusion: This is the basis to determine the influence of these factors, thereby providing recommendations to customers and what is more, giving real estate enterprises an insight of customers' demand in order to improve product quality and optimize the benefits of each party.

keywords
Housing-Option, Real Estate, Public Service, Government Incentives, Location, TPB, Gen Y.

The Journal of Distribution Science(JDS)