Cite this DOI

Nam, P. P., Yen, T. T., & Thanh Binh, P. T. (2021). Factors influencing housing purchase decisions in the context of the COVID-19 pandemic. *Journal of Science & Technology*, *06*(05), 99–110. https://doi.org/10.46243/jst.2021.v6.i05.pp99-110

@article{nam2021factors,
  author    = {Nam, Pham Phuong and Yen, Tran Thai and Thanh Binh, Phan Thi},
  title     = {{Factors influencing housing purchase decisions in the context of the COVID-19 pandemic}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {oct},
  volume    = {06},
  number    = {05},
  pages     = {99--110},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i05.pp99-110},
  url       = {https://doi.org/10.46243/jst.2021.v6.i05.pp99-110},
  language  = {en},
  abstract  = {The study aims to identify the influencing factors and their impact levels on the decision to buy houses in the context of the COVID-19 pandemic in Vietnam as a basis for proposing some solutions for people to be able to buy houses and to ensure housing businesses with stable incomes and the State effectively manages the housing market. The study used a multivariate regression model to determine the impact of factor groups on housing purchase decisions. Data were processed using SPSS20.0 software. The study has identified 11 groups with 39 factors influencing the decision to buy houses. The group of COVID-19 factors has the strongest impact with an impact percentage of 16.30\%, followed by 10 other factor groups, of which the housing service factor group has the smallest impact percentage of 4.27\%. The proposed solutions include good implementation of measures to prevent and control the COVID-19 pandemic; changing working methods; financial support for house buyers; applying information technology in housing brokerage, consulting, and advertising; creating houses that better meet the needs of buyers.}
}

TY  - JOUR
TI  - Factors influencing housing purchase decisions in the context of the COVID-19 pandemic
AU  - Nam, Pham Phuong
AU  - Yen, Tran Thai
AU  - Thanh Binh, Phan Thi
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/10/25/
VL  - 06
IS  - 05
SP  - 99
EP  - 110
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The study aims to identify the influencing factors and their impact levels on the decision to buy houses in the context of the COVID-19 pandemic in Vietnam as a basis for proposing some solutions for people to be able to buy houses and to ensure housing businesses with stable incomes and the State effectively manages the housing market. The study used a multivariate regression model to determine the impact of factor groups on housing purchase decisions. Data were processed using SPSS20.0 software. The study has identified 11 groups with 39 factors influencing the decision to buy houses. The group of COVID-19 factors has the strongest impact with an impact percentage of 16.30%, followed by 10 other factor groups, of which the housing service factor group has the smallest impact percentage of 4.27%. The proposed solutions include good implementation of measures to prevent and control the COVID-19 pandemic; changing working methods; financial support for house buyers; applying information technology in housing brokerage, consulting, and advertising; creating houses that better meet the needs of buyers.
DO  - 10.46243/jst.2021.v6.i05.pp99-110
UR  - https://doi.org/10.46243/jst.2021.v6.i05.pp99-110
ER  -

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    "DOI": "10.46243/jst.2021.v6.i05.pp99-110",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i05.pp99-110",
    "title": "Factors influencing housing purchase decisions in the context of the COVID-19 pandemic",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "Nam",
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "The study aims to identify the influencing factors and their impact levels on the decision to buy houses in the context of the COVID-19 pandemic in Vietnam as a basis for proposing some solutions for people to be able to buy houses and to ensure housing businesses with stable incomes and the State effectively manages the housing market. The study used a multivariate regression model to determine the impact of factor groups on housing purchase decisions. Data were processed using SPSS20.0 software. The study has identified 11 groups with 39 factors influencing the decision to buy houses. The group of COVID-19 factors has the strongest impact with an impact percentage of 16.30%, followed by 10 other factor groups, of which the housing service factor group has the smallest impact percentage of 4.27%. The proposed solutions include good implementation of measures to prevent and control the COVID-19 pandemic; changing working methods; financial support for house buyers; applying information technology in housing brokerage, consulting, and advertising; creating houses that better meet the needs of buyers.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i05.pp99-110 gives all four in one JSON answer.