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Factors Affecting Buying Behaviour in the Purchase of Residential Property: A Factor Analysis Approach

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Purpose: The main objective of this study is to find the relative importance of the various criteria that home buyers consider while evaluating the available alternatives. This study also attempts to categorize these variables into factors. Methodology: This is a descriptive research in which non-disguised and structured questionnaire having closed-ended questions. It was administered to collect data from the respondents. Findings: It was found in the study that financial factors are given the highest consideration while evaluating the alternatives by the residential property buyers. The variables could be grouped into six factors. Keywords: Residential Property Buying, Factors Affecting Home Buying Decision, Factor Analysis
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INTRODUCTION
The purchase of a residential property is a high-involvement
purchase and the buyer goes through a complex buying
decision-making process. In a complex buying decision-
making, the buyer goes for extensive information search from
various sources and almost all family members participate in
buying decision and the time taken for nal decision-making
is also high (Sciffman & Kanuk, 2004).
Own house is a vital need for humans. It is a basic need and
considered an element of the standard of living. The house
gives safety, privacy and independence. Homeownership
provides stability to family life and it is also used as an
investment (Rahman, 2010).
Economists characterized housing as a bundle of attributes
(MacLennan 2002). Some of these attributes are internal
characteristics of the housing unit itself, such as, whereas
external are access to utilities, services and facilities and
location. Very little research had been carried out in the
UK to understand consumer needs and wants in regards to
housing preferences and interest (Mills, 2000). Due to this,
there is a signicant gap between developers’ perceptions
and consumers’ expectations, which resulted in customer
dissatisfaction (Swartz & Brown, 1989). So, Ozaki (2002)
tried to bridge this gap by calling researchers to study this
issue. It is now very important to study the factors affecting
buyer behaviour regarding residential property. It will
help residential property developers in fullling the needs
of customers of residential real estate products (Opoku &
Abdul-Muhmin, 2010).
Residential property market studies have found increasing
recognition and the importance of buyers’ behaviour, among
researchers and the property industry. There is a high
acceptance of need of studying the consumer behaviour
in real-estate products (Gallimore, 1999). Most studies in
this area have investigated the behavioural concepts that
affect the price-setting processes and market’s search. It is
important to understand the buying decision-making process
as the value of the residential property is determined by the
demand (Almond, 1999).
LITERATURE REVIEW
The objective of the literature review was to nd out the
factors that customers consider while they purchase a
home. Kim et al. (2005) found that home buyers evaluate
the home on the basis of neighbourhood characteristics, job
accessibility and specic house characteristics. In their study,
Factors aFFecting Buying
Behaviour in the Purchase oF
residential ProPerty: a Factor
analysis aPProach
Yogesh Kumar*, Utkal Khandelwal**
Abstract: Purpose: The main objective of this study is to nd the relative importance of the various criteria that home buyers consider
while evaluating the available alternatives. This study also attempts to categorize these variables into factors.
Methodology: This is a descriptive research in which non-disguised and structured questionnaire having closed-ended questions. It was
administered to collect data from the respondents.
Findings: It was found in the study that nancial factors are given the highest consideration while evaluating the alternatives by the residential
property buyers. The variables could be grouped into six factors.
Keywords: Residential Property Buying, Factors Affecting Home Buying Decision, Factor Analysis
* Assistant Professor, Management Department, GLA University, Uttar Pradesh, India. Email: yogesh.kumar@gla.ac.in
** Assistant Professor, Management Department, GLA University, Uttar Pradesh, India. Email: utkal.khandelwal@gla.ac.in
International Journal on Customer Relations
6 (2) 2018, 27-32
http://publishingindia.com/ijcr/
28 International Journal on Customer Relations Volume 6 Issue 2 September 2018
Majid et al. (2012) found that buyers’ demographic factors
like gender, marital status and employment affect the criteria
they use to evaluate the alternatives while buying a housing
unit. In Amman, Haddad et al. (2011) explored that social,
economic, aesthetic, geographic and marketing construct
affect the buying behaviour signicantly. This study also
concluded that gender and age of home buyers affect their
buying behaviour. Saw and Tan (2014) concluded in a study
that structural factors, location and nancial factors affect
the home buyers’ purchase intentions. Tan (2011) found that
home buyers were ready to buy a residential property that
has good neighbourhood at a premium price. Kulshreshtha
et al. (2017a; 2017b) report that price is one of the most
important criteria while the purchase of electronic products.
A study by Choguill (2008) revealed that the value of the
residential property would be higher if it was in a gate-
guarded locality with a landscape compound. Home buyers
grade a residential property good or bad on the basis of
factors like pollution, cleanliness and safety (from crime)
and consider these factors signicant while evaluating a
housing unit (Chapman & Lombard, 2006; Tan, 2011). One
of Tan’s study (2011) suggested that afuent home buyers
considered some intangible benets like an infrastructure
suitable to the lifestyle of house buyers, a feeling of harmony
with the surroundings and a sense of security. According
to studies by Hunter (1985), Lang and Le Furgy (2007), it
gives dwellers good peace of mind if they live in the gate-
guarded residential area and they can pay more for that.
Similarly, home buyers who purchase homes for investment
also prefer to buy a home a gate-guarded housing estate.
Tan (2010) reported in a study that a home in a gated and
guarded neighbourhood reects the owner’s income and
status. Need for differentiation and elite image, motivate
home buyers to prefer gated and guarded community
to purchase a home. Residential property buyers, while
evaluating alternatives, consider ecological friendliness and
accessibility (Tan, 2012). According to Ricardo et al. (2010),
the importance of evaluation criteria changes according
to the stage of life cycle. For example, a single working
home buyer would prefer a location with better access to
job opportunities, cultural offers and services; whereas,
buyers who have young children might prefer a location that
has a better natural environment. Kueh and Chiew (2005)
revealed that for residential property buyers, the price was
the most important factor. Apart from price, location, house
amenities, security, developer’s image and community
amenities were also rated important factors. It was also
found that preference for housing unit might vary from
group to group like single and married reported different
preferences from widowed or divorced. The location choice
decision includes variables like accessibility, environmental
amenities and space (Fujita, 1989 as cited in Hurtubia et al.,
2010). Accessibility affects the cost of travel that household
members have to do in different locations in the city.
Environmental amenities consist of the level of economic
activities like education, service, industry, etc. It was
conrmed in a study by Daly et al. (2003) that home buyers
in the UK, Australia and Ireland considered location very
important while buying a residential property. The distance
of housing unit from shops, school, hospital, workplace and
the central business district is given high importance while
making a buying decision. Karsten (2007) concluded that for
the home buyers who don’t want to spend too much time in
travelling, distance from the workplace is highly important.
The structure of the house that includes the size of the living
and dining rooms, constructed area and number of bedrooms
and bathrooms, is also one of the criteria which affects
home buyers’ assessment of the property (Arimah, 1992;
Fierro et al., 2009; Laakso & Loikkanen, 1995; Opoku &
Muhmin 2010; Tiwari & Parikh, 1998; Tse & Love, 2000;
Wilhelmsson, 2000). Features of the residential property
like the design, construction quality, exterior and interior
design inuence individual’s home-buying decision (Adair
et al., 1996; Daly et al., 2003; Opuku & Abdul-Muhmin,
2010; Sengul, Yasemin, & Eda, 2010). Several researchers
have reported that these house features do affect the buying
decision (El-Nachar, 2011; Haddad, Judeh, & Haddad,
2011; Sengul et al., 2010). In a study, Fortin, Hill, and
Huang (2014) concluded that superstition also affects the
buying decision in the purchase of a residential property.
They found that Chinese superstition plays a role in home
buying in the North American market. Even the buyers who
don’t believe in feng shui do consider it while buying a home
because that might affect the resale price. The consideration
for house number was also accepted by home respondents.
In a survey by Housing.com (2015), it was found that most
of the Indian home buyers look for vastu complaint homes
while purchasing a house. Anderson and Crocker (1971)
reported that the pollution level of the area also does affect
the home-buying decision.
RESEARCH METHODOLOGY
It was a quantitative study in which data were collected
through structured and non-disguised questionnaire. During
the literature review, the factors were identied which were
frequently found signicant in the residential property
buying in the previous studies. These factors were then
included in the questionnaire, which was used to collect the
data from respondents. Method for data collection used was
- personal interview and mail questionnaire. Respondents
were selected through judgment sampling. Total 250
respondents were selected as the items in the questionnaire
were 18. Out of 250 questionnaires, 30 were rejected on
the basis of completeness and legibility. The data collected
through the questionnaire survey were statistically analysed
with SPSS software.
Factors Affecting Buying Behaviour in the Purchase of Residential Property: A Factor Analysis Approach 29
OBJECTIVES OF THE STUDY
The study attempted to:
Identify the importance of factors that home buyers
consider while purchasing (evaluating alternatives) a
home.
Categorize the factors that home buyers consider while
making a buying decision.
ANALYSIS AND DISCUSSION
As mentioned earlier, variables that were selected for the
study are:
1. Location
2. Proximity to amenities
3. Appearance
4. Interior
5. Well built
6. Locality
7. Ventilation
8. Price range
9. Availability of loan
10. Accessible garage
11. Fire resistant
12. Power supply
13. Water supply
14. Maintenance cost
15. Developer’s reputation
16. Vastu compliance
17. House number
18. View from house
Respondents were asked to mark the level of importance
of the selected variables while purchasing a residential
property. A ve-point scale was used for this where 5
indicated extremely important and 1, not at all important.
This implies that a high mean score reports a high level of
importance of the variable. Table 1 shows the descriptive of
these selected variables (descending order of mean values).
According to mean values, the most important variables
are – “price falling within buying capacity” and availability
of home loan. The other important variables are – re
resistance and well built. The least important variables that
are considered by home buyers are the superstitious factors
– vastu compliance, house no. and interior. But the mean
value is very close to 3, so even these cannot be ignored as
3 indicated “important” on the scale used for collecting data.
Table 1: Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Price range 220 2 5 4.25 0.768
Availability of loan 220 2 5 4.2 0.75
Fire resistant 220 2 5 3.8 0.87
Maintenance cost 220 2 5 3.75 0.77
Well built 220 2 5 3.7 0.901
Location 220 2 5 3.68 0.843
Ventilation 220 2 5 3.65 0.734
Developer’s reputation 220 2 5 3.65 0.727
Proximity to amenities 220 2 5 3.63 0.638
Accessible garage 220 1 5 3.48 0.743
Locality 220 2 5 3.44 1.043
View from house 220 2 5 3.24 0.783
Power supply 220 1 5 3.16 1.012
Water supply 220 1 5 3.12 1.042
Appearance 220 2 5 3.02 0.941
Vastu compliance 220 2 5 2.95 0.875
House no. 220 1 5 2.95 1.247
Interior 220 2 5 2.9 0.835
Valid N (listwise) 220
30 International Journal on Customer Relations Volume 6 Issue 2 September 2018
Table 2: KMO and Bartlett’s Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .617
Bartlett’s Test of Sphericity Approx. Chi-Square 3618.554
Df 190
Sig. .000
A principal component factor analysis was done to explore
the inter-relationship among responses for the variables
and nd whether there is a structure of concern among
the variables taken in the study. The Kaiser-Meyer-Olkin
Measure of Sampling Adequacy (Table 2) was .617. It
suggests the sample size is sufcient for factor analysis. To
identify the cluster of related responses and determine the
factors to be rotated, the eigen-value criterion of more than
or equal to 1 was taken. Total variance explained was found
78.19% (Table 3) that is statistically signicant (Bajpai,
2011).
Factor analysis results suggest that the variables can be
categorized into six categories. Table 4 shows the rotated
component matrix that in which only the highest factor
loading value is shown.
Variables related to the construction quality – “well built”,
“ventilation”, “re resistant” and the “reputation of the
developer” are having highest factor loading values for
the rst factor that are 0.916, 0.931, 0.829 and 0.924,
respectively. This factor can be named as the construction
quality factor.
Furthermore, another factor that results is – the proximity to
basic facilities and the neighbourhood. The variables having
the highest loading value in this category are – location,
proximity to amenities, locality and accessible garage with
the factor loading values 0.914, 0.765, 0.752 and 0.715.
A third factor is being formed consisting of the variables
related to appearance. These are appearance, interior and
view from the home. These have factors loading values of
0.882, 0.812 and 0.677.
The nancial variables are falling into one category and
these are: price, availability of home loan and maintenance
cost.
“Vastu compliance” and “house no.” are forming a factor
with highest factor loading value. This factor should be
named the superstitious or belief factor.
“Power supply” and “water supply” are having the higher
factor loadings for the last factor. This group of variables
should be named as the supplies factor.
Table 3: Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
1 4.499 22.495 22.495 4.499 22.495 22.495 3.995 19.973 19.973
2 3.257 16.283 38.779 3.257 16.283 38.779 2.754 13.768 33.741
3 2.656 13.279 52.058 2.656 13.279 52.058 2.518 12.591 46.332
4 2.242 11.210 63.268 2.242 11.210 63.268 2.394 11.970 58.302
5 1.738 8.690 71.958 1.738 8.690 71.958 1.996 9.979 68.281
6 1.247 6.236 78.194 1.247 6.236 78.194 1.983 9.913 78.194
7 .944 4.720 82.914
8 .671 3.356 86.270
9 .595 2.977 89.246
10 .540 2.701 91.947
11 .417 2.084 94.032
12 .276 1.381 95.413
13 .208 1.040 96.453
14 .176 .881 97.334
15 .150 .752 98.086
16 .130 .651 98.736
17 .096 .481 99.218
18 .072 .358 99.576
19 .053 .264 99.840
20 .032 .160 100.000
Extraction Method: Principal Component Analysis.
Factors Affecting Buying Behaviour in the Purchase of Residential Property: A Factor Analysis Approach 31
Table 4: Component Matrix
Component
1 2 3 4 5 6
Ventilation .931
Developer’s reputation .924
Well built .916
Fire resistant .829
Location .914
Proximity to amenities .765
Locality .752
Accessible garage .715
Appearance .882
Interior .812
View from house .677
Availability of loan .914
Price range .862
Maintenance cost .642
House no. .954
Vastu compliance .948
Power supply .850
Water supply .838
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 8 iterations.
CONCLUSION
The nancial factors – price range and availability of home
loan – were found to be most important by home buyers.
The nancial or economic factors were followed by
construction quality (as used “well built” in questionnaire),
location, developer’s reputation, ventilation and proximity
to amenities on the basis of importance for the home buyers.
The belief factors – vastu compliance and house no. are
having the least mean values – 2.9, but still, values are very
close to 3 which reected “important” on the scale used.
The mean values of most of the variables (except 3) are
above 3. It suggests that the variables taken for the study
from the available literature are quite signicant for home
buyers while purchasing a home. Current study has used
exploratory factor analysis approach and should be followed
by a study using conrmatory factor analysis approach.
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... Kedua faktor ini merupakan faktor yang subjektif bagi tiap-tiap individu, bergantung pada kelas sosial, budaya, dan gaya hidup (Gibler & Nelson, 2003;Manstead, 2018). Kumar & Khandelwal (2018) menyatakan bahwa selain faktor internal dalam membeli rumah, juga terdapat faktor lain yaitu faktor fisik atau struktur yaitu konstruksi yang baik untuk rumah yang dibangun, interior yang ada pada bagian dalam rumah, ventilasi, dan jaringan listrik dan air; faktor fasilitas dan lingkungan sekitar seperti lokasi rumah; faktor finansial seperti harga rumah, serta ketersediaan Kredit Pemilikan Rumah (KPR). Pendapatan yang stabil diperlukan untuk membayar uang muka kepemilikan rumah agar bisa mendapatkan pinjaman hipotek. ...
... Pengumpulan data menggunakan kuesioner secara online yaitu google form pada periode Februari-April 2020 untuk mengumpulkan data primer yaitu demografi responden dan variabel penelitian yaitu internal, eksternal, keluarga (Abidoye, et al., 2020), struktur, lokasi, finansial serta kendala finansial (Kumar & Khandelwal, 2018) yang dialami generasi milenial untuk kepemilikan rumah. Penelitian ini mereduksi indikator variabel menjadi faktorfaktor yang dipertimbangkan generasi milenial untuk memiliki rumah. ...
... Selain faktor keluarga dan eksternal, terdapat faktor structure dengan pengukuran tentang rumah yang dibangun sesuai dengan konstruksi yang baik, interior yang ada pada dalam rumah, ketahanan terhadap api, dan adanya jasa interior merupakan pertimbangan kedua untuk pembelian rumah oleh generasi milenial. Sesuai dengan penelitian Kumar & Khandelwal (2018) dalam mengevaluasi kepemilikan rumah, individu menganalisis kondisi rumah yang nantinya akan dipertimbangkan untuk dipilih seperti quality construction, jumlah kamar tidur, jumlah kamar mandi, interior, dan eksterior dikategorikan dalam faktor structure. ...
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ABSTRAK Rumah merupakan kebutuhan pokok untuk tempat tinggal, terutama pada generasi milenial yang memasuki tahap berkeluarga. Kepemilikan rumah oleh generasi milenial mempertimbangkan beberapa faktor yaitu faktor internal, keluarga, eksternal, kondisi fisik rumah (struktur), lokasi, keuangan, serta selera yang terkait gaya hidup. Tujuan penelitian ini adalah mengeksplorasi faktor-faktor yang menjadi pertimbangan generasi milenial terkait kepemilikan rumah pilihan tersebut, dan menampilkan kendala finansial yang dihadapi generasi milenial terkait kepemilikan rumah tinggal tersebut. Penelitian eksploratif diterapkan pada penyusunan kuesioner yang disebarkan secara online melalui google form sebagai sumber data. Responden yang berhasil dikumpulkan sebanyak 235 orang dengan teknik purposive sampling. Data yang dikumpulkan selanjutnya diolah menggunakan program SPSS dengan teknik analisa faktor dan teknik rangking. Hasil penelitian membuktikan bahwa faktor-faktor yang dipertimbangkan generasi milenial adalah faktor keluarga dan eksternal, keuangan dan lingkungan, kondisi fisik rumah tinggal, internal dan selera. Sedangkan kendala finansial utama pada generasi milenial, tidak tersedianya dukungan finansial dari orang terdekat sehingga ragu melakukan pembelian rumah. Manfaat dari studi ini adalah pentingnya setiap individu untuk melakukan perencanaan keuangan sedini mungkin terutama untuk tujuan pembelian properti. Selanjutnya bagi developer, informasi kendala finansial tersebut memberikan informasi untuk melakukan strategi pemasaran dan peluncuran produk yang disesuaikan kondisi calon pembeli generasi milenial.
... Kedua faktor ini merupakan faktor yang subjektif bagi tiap-tiap individu, bergantung pada kelas sosial, budaya, dan gaya hidup (Gibler & Nelson, 2003;Manstead, 2018). Kumar & Khandelwal (2018) menyatakan bahwa selain faktor internal dalam membeli rumah, juga terdapat faktor lain yaitu faktor fisik atau struktur yaitu konstruksi yang baik untuk rumah yang dibangun, interior yang ada pada bagian dalam rumah, ventilasi, dan jaringan listrik dan air; faktor fasilitas dan lingkungan sekitar seperti lokasi rumah; faktor finansial seperti harga rumah, serta ketersediaan Kredit Pemilikan Rumah (KPR). Pendapatan yang stabil diperlukan untuk membayar uang muka kepemilikan rumah agar bisa mendapatkan pinjaman hipotek. ...
... Pengumpulan data menggunakan kuesioner secara online yaitu google form pada periode Februari-April 2020 untuk mengumpulkan data primer yaitu demografi responden dan variabel penelitian yaitu internal, eksternal, keluarga (Abidoye, et al., 2020), struktur, lokasi, finansial serta kendala finansial (Kumar & Khandelwal, 2018) yang dialami generasi milenial untuk kepemilikan rumah. Penelitian ini mereduksi indikator variabel menjadi faktorfaktor yang dipertimbangkan generasi milenial untuk memiliki rumah. ...
... Selain faktor keluarga dan eksternal, terdapat faktor structure dengan pengukuran tentang rumah yang dibangun sesuai dengan konstruksi yang baik, interior yang ada pada dalam rumah, ketahanan terhadap api, dan adanya jasa interior merupakan pertimbangan kedua untuk pembelian rumah oleh generasi milenial. Sesuai dengan penelitian Kumar & Khandelwal (2018) dalam mengevaluasi kepemilikan rumah, individu menganalisis kondisi rumah yang nantinya akan dipertimbangkan untuk dipilih seperti quality construction, jumlah kamar tidur, jumlah kamar mandi, interior, dan eksterior dikategorikan dalam faktor structure. ...
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Rumah merupakan kebutuhan pokok untuk tempat tinggal, terutama pada generasi milenial yang memasuki tahap berkeluarga. Kepemilikan rumah oleh generasi milenial mempertimbangkan beberapa faktor yaitu faktor internal, keluarga, eksternal, kondisi fisik rumah (struktur), lokasi, keuangan, serta selera yang terkait gaya hidup. Tujuan penelitian ini adalah mengeksplorasi faktor-faktor yang menjadi pertimbangan generasi milenial terkait kepemilikan rumah pilihan tersebut, dan menampilkan kendala finansial yang dihadapi generasi milenial terkait kepemilikan rumah tinggal tersebut. Penelitian eksploratif diterapkan pada penyusunan kuesioner yang disebarkan secara online melalui google form sebagai sumber data. Responden yang berhasil dikumpulkan sebanyak 235 orang dengan teknik purposive sampling. Data yang dikumpulkan selanjutnya diolah menggunakan program SPSS dengan teknik analisa faktor dan teknik rangking. Hasil penelitian membuktikan bahwa faktor-faktor yang dipertimbangkan generasi milenial adalah faktor keluarga dan eksternal, keuangan dan lingkungan, kondisi fisik rumah tinggal, internal dan selera. Sedangkan kendala finansial utama pada generasi milenial, tidak tersedianya dukungan finansial dari orang terdekat sehingga ragu melakukan pembelian rumah. Manfaat dari studi ini adalah pentingnya setiap individu untuk melakukan perencanaan keuangan sedini mungkin terutama untuk tujuan pembelian properti. Selanjutnya bagi developer, informasi kendala finansial tersebut memberikan informasi untuk melakukan strategi pemasaran dan peluncuran produk yang disesuaikan kondisi calon pembeli generasi milenial.
... These features are expected to influence an individual's house purchase decision (Chia et al., 2016). The quality of the construction, ventilation, parking, apartment design, and water supply are all important factors to consider when making a purchase (Kumar and Khandelwal, 2018). For the living quality of an apartment, an excellent water supply and drainage system are also essential . ...
... Besides adopting the variables from the TPB, this study also identified other variables from the literature review. The following variables have been identified including, project facilities , environmental condition (Chia et al., 2016), location facility (Kumar and Khandelwal, 2018), perceived physical quality (Jamil, Hossain and Siddique, 2018), promotion (Rachmawati et al., 2019), price (Sonia, 2020), government incentive, policy and regulation (Glaeser et al., 2017;Alam, 2018) and finance (Khoo, Goh and Ting, 2019). To establish the key elements, an EFA study was recommended. ...
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Understanding the elements that influence buyers' purchase intentions is critical for real estate companies. The goal of this study is to develop a model for investigating behavioural intentions to purchase apartments in Bangladesh. To obtain the preliminary elements, the Theory of Planned Behaviour (TPB) was used as the underpinning theoretical framework. Other elements relevant to the study context were identified by an extensive literature review, which was subsequently evaluated by industry experts. A systematic questionnaire was used to collect two hundred and thirty-six samples. To find the relevant factors, an exploratory factor analysis (EFA) was used. In addition to the criteria mentioned by the TPB, the results reveal three additional aspects: perceived physical quality, access to money, and favourable government policy. The study contributes to the literature by presenting an extended TPB model suitable for studying behavioural intention to buy apartments in an emerging country.
... Financial intermediaries like banks or Pag-IBIG (Pagtutulungan sa Kinabukasan, Ikaw, Bangko, Industria at Gobyerno) will be paying the residential property purchase, it comes with 30 years maximum repayment for the Pag-IBIG depending to the type of property bought (Adrian, 2018). The price range and availability of loan were found to be the utmost significant by residential property buyers (Kumar & Khandelwal, 2018). Study showed that 16 -20 years is the desired period for the residential property loan (Vijayakumar & Subburaj, 2010). ...
... Therefore, H2b is supported. The distance of residential property from stores, university, hospital, office and the commercial area is specified high significance in doing a purchasing choice (Kumar & Khandelwal, 2018). A planned location will influence consumer fulfillment in purchasing (Pangenggar, Hidayat, & Sendhang, 2014, as cited in Rachmawati, Shukri, Azam, & Khatibi, 2019. ...
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The study aims to investigate the relationships between the demographic profile and consumers’ choice particularly price, location, safety and security, facilities and amenities, and exclusivity towards purchase intention of residential property in the Philippines. With the Association of Southeast Asian Nations (ASEAN) Economic Community, the Philippines is viewed by various experts to be in good standing to lead in the area’s property growth. Descriptive-Causal was utilized in the study. The respondents were 400 potential residential property buyers from any of the top 10 real estate developers in the Philippines. The researcher used a purposive sampling method. The data collected through a self-constructed survey questionnaire was entered and analyzed using SPSS and AMOS. The findings of the study showed that the demographic characteristics have a direct effect on consumers’ choice factors. It also revealed that consumers’ choice factors have a direct effect on purchase intention. The researcher proposed an emerging model of the causal relationships between the demographic profile and consumers’ choice factors towards the purchase intention of residential property in the Philippines.
... Moreover, factors that influencing buying behaviour of consumers on real estate can be classified into 3 categories: macroeconomic factors, personal factors as well as housing factors. Purchasing or leasing of real estate has been seen as a complicated process, which involves a high degree of interaction with the products and deep understanding (Kumar and Khandelwal 2018). According to Brodeur et al (2020), a study has been analysed on how the real estate markets respond to a pandemic or the outbreak of past events such as SARS in 2003. ...
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The primary aim of this research is to examine the relationship between several variables and the buying behaviour of housing properties during the COVID-19 pandemic in Malaysia. This paper will be using a quantitative survey method to investigate the growing pattern of properties related to cultural housing preference, price and financial, location, and economic factors. A total of 180 sets of questionnaires will be distributed to individuals age above 21 years old, and the results of the response are to derive using SPSS to collect data for this study. The findings will identify the factors that influence the buying behaviour of housing properties and contribute to the housing developers and academicians.
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