scholarly journals Factors affecting on the Apartment purchase decision of officers in Small and Medium - sized enterprises in Ho Chi Minh City

2022 ◽  
Author(s):  
Le Thanh Tung
Keyword(s):  
Factor Analysis ◽  
Real Estate ◽  
Multivariate Regression ◽  
Ho Chi Minh City ◽  
Purchase Decision ◽  
Analysis Method ◽  
Factors Affecting ◽  
The Real Estate ◽  
Testing Method ◽  
Habitat Environment

In recent years, demand for housing has increased in Ho Chi Minh City (HCMC) despite of apartment market’s felling into the freeze. Besides, apartment`s price has continuously dropped, but the situation has not improved much. Do not the real estate companies really understand the need of buyers ? This paper researches factors affecting the decision to purchase apartment of officers in Small and Medium-sized enterprises (SMEs) in HCMC. We surveyed 321 buyers, using Cronbach`s Alpha Scale testing method, Exploratory Factor Analysis method and multivariate regression methodology. The results indicated that the decision to buy an apartment of officers was affected by three important factors which are habitat environment, characteristics and finance respectively. From the research results, this paper also proposes some solutions to bring the supply and the demand of apartment in HCMC closer together, thereby contributing to solve difficulties for market.

scholarly journals Determinants of customer's apartment purchase intention: is the location dominant?

2020 ◽  
Vol 11 (4) ◽  
pp. 1303
Author(s):  
Phuong Viet Le-Hoang ◽  
Yen Truong Thi Ho ◽  
Danh Xuan Luu ◽  
Truc Thanh Thi Le
Keyword(s):  
Factor Analysis ◽  
Real Estate ◽  
Exploratory Factor Analysis ◽  
Purchase Intention ◽  
Subjective Norm ◽  
Influential Factor ◽  
Ho Chi Minh City ◽  
Factors Affecting ◽  
Five Factors

The purpose of this research is to identify and measure the factors affecting the intention to buy apartments of customers in Ho Chi Minh City, Vietnam. The survey carried out with the participation of 200 customers. The authors explore five factors which affect customer's apartment purchase intention include location, features, brand, finance, and subjective norm. The result from Exploratory Factor Analysis (EFA) shows that location, features, finance, and subjective norm have a significant effect on the intention to buy customers' apartments. In which, location in Ho Chi Minh City context is the most influential factor, so, it strongly confirm the research of Adair et al. (1996), Clark et al. (2006), Daly et al. (2003), Kaynak and Stevenson (2007), Opoku and AbdulMuhmin (2010), Sengul et al. (2010), Tu and Goldfinch (1996), Xiao and Tan (2007) and Wang and Li (2006). The study also proposes some recommendations to increase the attractiveness of the apartment. What is more, developers, marketers, real estate policymakers can use the results of this research to understand the needs of customers better and satisfy customers.

scholarly journals Factors affecting consumers purchase decision: A case study in car market in Ho Chi Minh City

2022 ◽  
Author(s):  
Le Thanh Tung
Keyword(s):  
Factor Analysis ◽  
Positive Impact ◽  
Practical Significance ◽  
Ho Chi Minh City ◽  
Purchase Decision ◽  
Factors Affecting ◽  
Car Market ◽  
Safety Features ◽  
Random Survey

This paper aims to examine the factors affecting purchase decision cars of consumers to enable car manufacturers to find out the possible vulnerability between the expectations of customers and products on the market. The research uses a random survey with a group of 271 consumers in Ho Chi Minh City. Results of factor analysis and regression show that three factors including: safety features, reliability and resale value actually have positive impact on the purchasing decision automobiles consumer. On the practical significance, the study proposes some solutions to help manufacturers and distributors offering reasonable policies in order to improve sales, profits, expanding markets in Vietnam. Besides, the study also has some limitations, so the next study should be expanded and further research to be able to explain more of the factors affecting purchase decision cars of consumers.

Real Estate Marketing and Factors Impacting Real Estate Purchasing

2019 ◽  
Vol 6 (2) ◽  
pp. 15-35
Author(s):  
Mustafa Likos ◽  
Mahir Nakip ◽  
Aytaç Gökmen
Keyword(s):  
Statistical Analysis ◽  
Real Estate ◽  
Structural Factor ◽  
Reference Group ◽  
Social Factor ◽  
Purchasing Behavior ◽  
Analysis Method ◽  
Reference Groups ◽  
The Real Estate ◽  
Real Estate Marketing

The purpose of the study is to introduce factors impact on purchasing behavior in real estate marketing. The seven factors analyzed—location, structural factor, neighborhood, social factor, reference group, financial, advertising—have a direct effect on real estate purchasing behavior. A questionnaire prepared for this purpose was applied to 235 randomly selected people and the collected data were analyzed by variance analysis method. According to the results of the statistical analysis, factors such as location, structural factor, social factor, neighborhood, financial, advertising factor influence the purchasing behavior of the real estate, and it is observed that the reference groups do not affect the purchasing behavior.

scholarly journals Intention to use m-banking application: an empirical study in Ho Chi Minh City

2021 ◽  
Vol 12 (2) ◽  
pp. 637-653
Author(s):  
Phuong Viet Le-Hoang
Keyword(s):  
Factor Analysis ◽  
Multiple Regression Model ◽  
Perceived Usefulness ◽  
Influential Factor ◽  
Ho Chi Minh City ◽  
Intention To Use ◽  
Mobile Banking ◽  
Factors Affecting ◽  
Expected Performance ◽  
Insight Into

The research aims to explore, measure, and analyze factors affecting the intention to use Mobile Banking (M-Banking) of customers in Ho Chi Minh City. The author conducts a convenient sampling, including 600 participants. The method of the research is the Exploratory Factor Analysis (EFA) and a multiple regression model. The results show that there are six factors such as perceived ease to use (EU), perceived usefulness (PU), trust (TR), expected performance (PE), social influence (SI), Facilitating condition (FC) affect the adoption of M-Banking. In which, Facilitating condition is the most influential factor, and expected performance is the least influential factor. Also, this study proposes some recommendations to develop an M-Banking application to help customers gain more insight into the bank as well as actively select the M-Banking application as a reliable transaction method.

scholarly journals People’s expectations in Ho Chi Minh City when buying over - the - counter drugs to self - treatment

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Nguyen Minh Ha ◽  
Nguyen The Hung
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Prescription Drugs ◽  
Quantitative Method ◽  
Information Behavior ◽  
Ho Chi Minh City ◽  
Over The Counter ◽  
Factors Affecting ◽  
Otc Drugs ◽  
Common Diseases

This objective is to study determinants of people’s expectation in Ho Chi Minh city when buying over – the counter drugs to self – treatment. With a directly surveyed dataset of 403 citizens over 18 years old who purchased medicines for self-treatment, and using the quantitative method by exploratory factor analysis (EFA), the study found factors affecting people’s expectations when buying over – the – counter (OTC) drugs to heal themselves are past purchase and use of non-prescription drugs, experience treating common diseases with OTC drugs, seeking information behavior when intending buying non-prescription drugs, the impression of the-over-counter medications and the impression of pharmacist at pharmacy by Ho Chi Minh city (HCMC) citizens.

scholarly journals Research on Factors Affecting Real Estate Values by Data Mining

2018 ◽  
Vol 6 (1) ◽  
pp. 220-239 ◽  
Author(s):  
Filiz Ersoz ◽  
Taner Ersoz ◽  
Muhammet Soydan
Keyword(s):  
Data Mining ◽  
Real Estate ◽  
Statistical Modelling ◽  
Unit Price ◽  
City Centre ◽  
Important Place ◽  
Factors Affecting ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Valuation

Abstract Construction sector has an important place in Turkey’s economy. Real estate sales for the sector are increasing in parallel. However, the purchase cost is also important for those who are willing to buy a real estate. In the acquisition of real estate, factors such as size, location and age of the house are taken into consideration. The aim of the article is to conduct research on factors affecting real estate values by data mining. In this study, the most important variables that determine the value of the real estate have been investigated by data mining methods. The research has been carried out in Karabük and the variables determined according to the opinions of real estate experts. As classification methods, CHAID and C&RT algorithms have been used. It has been evaluated that both algorithm estimation results can be used. Within the framework of the study, the variables that have the most impact on the unit price have been determined, such as the size of the real estate, the distance to the city centre, the popularity, and the age of the building. The use of advanced technologies, such as statistical modelling and machine learning in real estate valuation and automatic value estimation, is of importance in determining the real value of the real estate.

Study on the Influence Factors of Real Estate Price Based on Regression Model — The Case of Jilin City

2011 ◽  
Vol 117-119 ◽  
pp. 1547-1551
Author(s):  
Xi Li Tan ◽  
Han Zhou ◽  
Ying Song Xu
Keyword(s):  
Real Estate ◽  
Regression Model ◽  
Influence Factors ◽  
Multiple Linear Regression Model ◽  
Factors Affecting ◽  
The Real Estate ◽  
Real Estate Price ◽  
Spss Software ◽  
Countermeasures And Suggestions ◽  
The Impact

Real estate price has been one of the hottest discussion topics, especially in recent years, it becomes the focus of attention. In this paper, we aim to study the impact of economic factors on real estate price. By multiple linear regression model and SPSS software, we analyze four economic indicators affecting the real estate price of Jilin city, and make some amendments and testings, the conclusions show the consumption level and housing construction area are important factors affecting the price trend. On this basis, we further to give the corresponding countermeasures and suggestions.

scholarly journals Factors Affecting the Income of Vietnamese Peasants: A Case in Tra Vinh Province

2019 ◽  
Vol 10 (1) ◽  
pp. 54
Author(s):  
Ha Hong Nguyen ◽  
Trung Thanh Nguyen
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Analysis Method ◽  
Collection Method ◽  
Factors Affecting ◽  
Education Levels ◽  
Technical Advances ◽  
Production Areas

Studying the factors affecting the income of Vietnamese peasants: A case in Tra Vinh province, by data collection method of 170 peasants’ households in 4 districts: Cau Ngang, Cang Long, Chau Thanh and Tieu Can in Tra Vinh province, Vietnam. The authors use multivariate regression analysis method. The study has found the factors such as gender of households’s heads, ages of households’ heads, education levels, the number of family members, dependency rates, application of technical advances, production areas affecting the income of peasants in these areas. Since then, the study has implied a policy to improve the income of peasants. For example, it could be very important for us to focus on training science and technology in agriculture, diversify crops and livestock in agriculture, improve techniques and enhance education levels to increase income for peasants in Tra Vinh province in the future.

scholarly journals Factors Affecting Parents Decision to Send Their Children Abroad for Studies: A Case Study of Parents in Ho Chi Minh City

2021 ◽  
Vol 1 (1) ◽  
pp. p99
Author(s):  
Van Thi Hong PHAM
Keyword(s):  
Study Abroad ◽  
Training Programs ◽  
Regression Coefficients ◽  
Ho Chi Minh City ◽  
Great Success ◽  
Analysis Method ◽  
Factors Affecting ◽  
Self Reliance ◽  
Negative Impacts

The study aims to identify factors influencing the parents’ decision in Ho Chi Minh City to send their children to study abroad. The study used the exploratory factor analysis method to examine and estimate regression coefficients on sample 243 observations from parents whose children study abroad. Research has identified 6 factors affecting the decision to send a child to study abroad. The paper shows that the parents’ decisions to let their children study abroad are not only based on the parents’ desire but also on the students’ desire. In addition, factors such as the family’s financial capacity, training programs, career prospects, and self-reliance also affect the parents’ decisions to send their children to study abroad. Interestingly, the study found that factors of self-reliance have negative impacts on parents’ decisions to send their children to study abroad. When they realized that their child may have good self-reliance, great success would be obtained regardless of study location. As a result, motivation for the overseas study was no longer found by them. Since then, domestic training programs need to increase opportunities to practice English, the opportunity to practice independence and flexibility in training programs will limit your children to study abroad.

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