The author uses the relationships available through family, colleagues and especially
the students of K20 in Finance - Banking class 2011 - 2013 at Northwestern University, (the
trainees are School and currently holding managerial positions in commercial banks) to
distribute questionnaires to 50 credit officers and ask these people to pass questionnaires to
570 credit officers at commercial banks in 4 provinces of the Northwest region. The survey
was conducted from May 2017 to September 2017 and resulted in 355 good responses
reaching 62.2% of the generated samples. According to Cooper and Schindler (2006), the
rate of recall of the questionnaire from 30% to 50% is typical for investigative studies, the
response rate of 80% or more will indicate that the respondents are very interested in the
research topic. Researchers and researchers cannot expect to receive 100% response rates.
Therefore, the response rate of 62.2% (lower than the response rate of the preliminary
survey 100%) of the study is relatively good and acceptable. Furthermore, 355
questionnaires have good data, no error sheets, blanks, omissions, or extreme selective
positive (error sheets = 0), demonstrating the quality of the questionnaire and the very
method of data collection effective with investigative research
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m
ercial
b
a
nk
s
2
.2
.1
.
Th
eo
ry
of
info
rm
atio
n
a
sym
m
etry
(A
sym
m
etric
Info
rm
atio
n)
Info
rm
atio
n
asy
m
m
etry
,
so
m
etim
es
called
th
e
failu
re
info
rm
atio
n
o
r
im
b
alan
ce
of
info
rm
atio
n
,
m
ean
s
of
eco
n
o
m
ic
tran
sactio
n
,
o
n
e
p
arty
h
as
th
e
ad
v
antag
e
of
h
olding
m
o
re
info
rm
atio
n
th
an
th
e
oth
er
,
leading
to
th
e
d
ecisio
n
th
e
eco
n
o
m
ic
in
efficien
cy
.
2
.2
.1
.1
.
Ad
v
e
rse
selectio
n
th
eo
ry
of
c
redit
m
a
rkets
(Ad
ve
rse
S
electio
n)
In
term
s
of
info
rm
atio
n
sy
m
m
etry
,
m
eaning
th
at
o
n
e
p
arty
in
a
tran
sactio
n
h
as
m
o
re
info
rm
atio
n
ab
o
ut
b
u
sin
ess
objects
th
an
th
e
oth
er
p
arty
,
w
h
o
h
av
e
th
e
ad
v
antag
e
of
info
rm
atio
n
m
ay
p
ro
vid
e
info
rm
atio
n
th
at
is
n
ot
h
o
n
est
ab
o
ut
objects
allo
cated
p
o
o
rly
tran
slated
to
th
e
ad
v
antag
es
of
info
rm
atio
n
.
A
s
a
result
,
less
d
o
m
in
ant
p
arties
ag
ree
o
n
th
e
info
rm
atio
n
to
co
m
plete
th
e
tran
sactio
n
and
g
et
thing
s
n
ot
as
th
ey
w
ant
.
2
.2
.1
.2
.
M
o
ral
h
aza
rd
in
b
a
nking
a
ctivity
(M
o
ral
h
aza
rd)
P
aul
(2009)
d
efin
es
m
o
ral
h
azard
as
"cases
w
h
ere
o
n
e
p
arty
to
m
ak
e
d
ecisio
n
s
related
to
th
e
acceptable
lev
el
of
risk
,
w
hile
th
e
oth
er
p
arty
suffer
lo
sses
if
th
o
se
d
ecisio
n
s
fail
"
(P
aul
,
2009)
.
2
.2
.2
.
Th
eo
ry
of
judg
m
ent
a
nd
feeling
in
d
ecisio
n
In
th
e
study
by
B
ro
w
n
,
M
.
,
M
atthias
S
ch
aller
,
Sim
o
n
e
W
esterfeld
,
and
M
ark
u
s
H
eu
sler
(2012)
,
m
an
ag
ers
in
th
e
w
o
rld
h
av
e
ack
n
o
w
ledg
ed
th
at
th
e
m
an
ag
ers
"w
ithin
th
e
lim
its
of
reaso
n
,
"
a
nd
so
,
m
an
ag
em
ent
d
ecisio
n
s
are
often
u
n
able
to
fully
"ratio
n
al
"
.
2
.2
.3
.
S
o
cial
capital
th
eo
ry
C
ran
e
,
D
.
,
and
R
ob
ert
E
ccles
(1988)
,
H
au
sw
ald
,
R
.
,
and
R
ob
ert
M
arq
u
ez
(2006)
S
o
cial
capital
in
clud
es
so
cial
n
etw
o
rk
s
,
tru
st
in
so
ciety
,
th
e
ability
to
co
n
n
ect
to
d
o
th
e
job
.
O
r
im
p
act
o
n
th
e
role
of
so
cial
capital
in
d
ecisio
n
s
of
th
e
enterp
rise
fu
nd
s:
h
elp
enterp
rises
enh
an
ce
th
e
rep
utatio
n
and
legitim
acy
.
2
.2
.4
.
Th
eo
ry
applicatio
n
in
b
a
nk
credit
m
a
n
ag
em
ent
K
obil
7C
s
R
u
ziev
d
ev
elop
m
ent
m
od
el
'G
o
od
and
5C
s
'
B
ad
(K
obil
R
u
ziev
(2018)
7
D
ia
gr
a
m
2.
3:
Th
eo
re
tic
a
l f
ra
m
ew
o
rk
o
f f
a
ct
o
rs
a
ffe
ct
in
g
le
n
di
n
g
de
ci
sio
n
s
So
u
rc
e:
a
u
th
o
r'
s
sy
n
th
e
si
s
A
sy
m
m
et
ric
in
fo
rm
at
io
n
th
eo
ry
Th
eo
ry
o
f u
n
fa
v
o
ra
bl
e
ch
o
ic
es
o
f t
he
m
ar
ke
t
A
pp
lie
d
th
eo
ry
in
cr
ed
it
m
an
ag
em
en
t
Th
eo
ry
o
f
jud
gm
en
t
an
d
pe
rc
ep
tio
n
in
de
ci
sio
n
m
ak
in
g
So
ci
al
ca
pi
ta
l
th
eo
ry
Th
eo
ry
o
f e
th
ic
al
ris
ks
in
ba
n
ki
n
g
o
pe
ra
tio
n
s
C
o
m
m
er
ci
a
l b
a
n
k
cr
ed
it
pr
o
ce
ss
Fa
ct
o
rs
th
a
t i
n
flu
en
ce
th
e
co
lle
ct
io
n
pr
o
ce
ss
a
n
d
cr
ed
it
in
for
m
a
tio
n
pr
o
ce
ss
in
g
C
re
di
t
o
ffi
ce
r
Lo
a
n
de
ci
sio
n
/
de
n
ia
l
Th
e
m
o
de
l o
f
fac
to
rs
in
flu
en
ci
n
g
le
n
di
n
g
de
ci
sio
n
s
Th
e
ha
rd
in
fo
rm
at
io
n
fa
ct
o
r
Th
e
so
ft
in
fo
rm
at
io
n
fa
ct
o
r
8
2.3. Overview of factors influencing SME lending decisions
Factors affecting commercial banks' lending decisions are listed by the author as follows:
Table 2.9: Overview of factors influencing a bank's lending decision in previous
studies
Numerical
order Influence factor
Previous studies
(+) Has an influence on the loan decision
(-) Does not affect the lending decision
1
Hard
information
Financial report
Berger và Udell (2006) (+)
Mason và Stark (2004) (+)
Uchida et al (2006) (+)
Armstrong et al (2010) (+)
Feldma (1997) (+)
Mester (1997) (+)
Nguyen Anh Hoang (2014) (+)
2 Business plan Petersen và Rajan (2002) (+)
Berry et al. (1993) (+)
Petersen,MA. (2004) (-)
Uchida et al. (2006) (-)
Armstrong et al. (2010) (-)
Agarwal và Hauswald (2010) (-)
Berry et al. (1993) (-)
Nguyen Anh Hoang (2014) (+)
3 Business purposes
4
Products, services and
potentials, risks
(business risks)
5
Knowledge
Berry et al. (1993) (+)
Uchida et al. (2006) (+)
Rand (2007) (-)
Coleman (2004a) (-)
Le, Sundar, & Nguyễn (2006) (+)
Nguyen Anh Hoang (2014) (-)
6
3rd party opinion
Berry et al. (1993), (+)
Uchida et al. (2006) (+)
Nguyen Anh Hoang (2014) (-)
7
Business size
Cole và Wolken (1995) (+)
Yildirim et al. (2013) (+)
Khalid (2014) (+)
Vo Tri Thanh (2011) (+)
Ricardo (2004) (+)
Ha Thi Thieu Dao (2014) (+)
Do Thị Thanh Vinh (2014) (+)
Le (2012) (+)
Malesky & Taussig (2009) (+)
Nguyen & Ramachandran (2006) (+)
Rand (2007) (+)
Nguyen Anh Hoang (2014) (-)
8
Owner characteristics
Irwin & Scott (2010) (+)
Nofsinger & Wang (2011) (+)
Fatoki & Asah (2011) (+)
9
Numerical
order Influence factor
Previous studies
(+) Has an influence on the loan decision
(-) Does not affect the lending decision
Coleman (2004b) (+)
Fatoki & Odeyemi (2010) (+)
Osei-Assibey, Bokpin, & Twerefou (2012) (+)
Ajagbe (2013) (+)
Nguyen Anh Hoang (2014) (-)
9
Collateral
Tran Trung Kien (2015) (+)
Nguyen Thi Minh Hue (2012) (+)
Petersen và Rajan (2002) (+)
Uchida et al. (2006) (+)
Khung et al. (2001) (+)
Petersen (2004) (+)
Tran Trung Kien (2015) (+)
Nguyen Thi Minh Hue (2012) (+)
Nguyen Anh Hoang (2014) (+)
10
Credit history records
Uchida et al. (2006) (+)
Berger và Udell (2006) (+)
Nguyen Anh Hoang (2014) (+)
11
Soft
information
Trust (ability and
entrepreneurial
personality)
Berger (1998) (+)
Berger và Udell (2002) (+)
Petersen,MA. (2004) (+)
Xin và Pearce (1996) (+)
Nguyen et al (2006) (+)
Nguyen Hong Ha (2013) (+)
Nguyen Anh Hoang (2014) (-)
12 Participation in social
networks
Ferrary (2003) (+)
Harhoff, D. and Körting, T. (1998a,1998b) (+)
Nguyen Anh Hoang (2014) (-)
13 Main lending bank Berger và Udell, (1995) (+)
Petersen và Rajan, (1994, 1995) (+)
Angelini, P. et al, (1998) (+)
Scott và Dunkelberg, (1999) (+)
Ongena và Smith, (2000) (+)
Uchida (2006) (+)
Uchida, Hirofumi, Udell, Gregory F. &
Yamori, Nobuyoshi (2012) (+)
Coleman và Cohn, (2000) (+)
Khalid (2014) (+)
Vo Tri Thanh (2011) (+)
Ricardo (2004) (+)
Ha Thi Thieu Dao (2014) (+)
Do Thị Thanh Vinh (2014) (+)
Nguyen Anh Hoang (2014) (+)
14 Time of relationships
15
Number of bank
products
10
Source: Authors' synthesis based on research review
2.4. Research model and hypothesis
Hypothesis H1: Commercial banks in the Northwestern subregion use both hard and
soft information in approving loan decisions.
Hypothesis H2: Soft information plays a more important role than hard information
in a bank's lending decision.
H2
H1
Figure 2.6: Proposed model and research hypotheses
CHAPTER 3: RESEARCH METHODS
3.1. Research design
The research order of the thesis is as follows:
Table 3.1. Order of research
Steps
1. Construction of preliminary scales
2. Scale assessment through in-depth interviews and preliminary survey
3. Formal quantitative research
4. Phân tích số liệu
5. Results and solutions
Hard information
- Financial report
- Business plan in the future
- Loan purpose
- Business risks
- The understanding of the business
owner
- Third party comments
- Business size
- Owner characteristics
- Collateral
Soft information
- Faith (Competence, Ethics, Integrity)
Social network participation
- Major lending bank
- Time of relationship
- Number of banking products
Information
serving loan
decisions
Loan
decision
Control variables
Age, Gender, Education,
Position, Experience,
Marriage, Number of
SME contacts / month,
Loan application
11
S
o
u
rce:
A
uth
o
r
's
resea
rch
3
.2
.
Q
u
alitativ
e
resea
rch
3
.2
.1
.
Q
u
alitative
resea
rch
objectives
R
efin
e
th
e
facto
rs
influ
en
cing
th
e
SM
E
lending
d
ecisio
n
s
of
co
m
m
ercial
b
ank
s
collected
by
th
e
auth
o
r
in
th
e
research
o
v
erview
and
disco
v
er
n
ew
facto
rs
asso
ciated
w
ith
th
e
reality
of
th
e
co
nte
xt
of
co
m
m
ercial
b
ank
s
and
SM
E
s
in
th
e
N
o
rth
w
est
V
ietn
am
.
3
.2
.2
.
O
bject
a
nd
q
u
alitative
resea
rch
m
eth
od
s
S
em
i
-stru
ctu
red
interview
s
of
20
p
eople:
02
d
ep
uty
directo
rs
of
th
e
b
ank
,
08
credit
m
an
ag
ers
,
10
credit
officers
of
th
e
B
ank
.
.
.
In
o
rd
er
to
en
su
re
th
e
rep
resentativ
en
ess
of
rand
o
m
interview
sam
ple
selectio
n
,
th
e
auth
o
r
ch
o
o
ses
ev
enly
4
-5
p
erso
n
/
p
ro
vin
ce
in
th
e
N
o
rth
w
est
regio
n
.
3
.2
.3
.
Q
u
alitative
resea
rch
results
G
en
eral
co
n
clu
sio
n
:
b
asically
th
e
th
esis
research
m
od
el
p
rop
o
sed
is
app
rop
riate
.
Firstly
,
100%
of
credit
officers
said
th
at
o
nly
cu
sto
m
ers
w
h
o
satisfy
th
e
b
asic
criteria
w
ill
b
e
able
to
access
b
ank
lo
an
s
.
A
t
th
e
sam
e
tim
e
,
th
o
se
15
g
uiding
facto
rs
w
ere
d
ev
elop
ed
by
th
e
interview
ees
into
52
n
ecessary
info
rm
atio
n
attrib
utes
b
ased
o
n
th
e
actu
al
b
anking
op
eratio
n
s
,
th
e
p
erceptio
n
s
and
exp
erien
ces
of
th
e
subjects
in
th
e
p
ro
cess
of
w
o
rking
lending
p
artn
ers
fo
r
SM
E
s
.
S
e
co
nd
,
th
e
q
u
alitativ
e
research
results
of
10
m
an
ag
ers
and
credit
officers
of
co
m
m
ercial
b
ank
s
in
th
e
N
o
rth
w
est
sub
-regio
n
h
av
e
100%
of
resp
o
nd
ents
app
reciate
th
e
role
of
h
a
rd
info
rm
atio
n
in
collecting
cla
ssified
info
rm
atio
n
.
C
redit
rating
s
of
cu
sto
m
ers
,
40%
of
resp
o
nd
ents
m
entio
n
ed
th
e
role
of
soft
info
rm
atio
n
a
nd
revealing
th
e
relatio
n
ship
n
etw
o
rk
to
h
elp
SM
E
s
m
o
re
ea
sily
a
ccess
b
a
nk
lo
a
n
s
.
Th
ese
52
info
rm
atio
n
attrib
utes
are
divid
ed
into
8
m
ain
g
ro
up
s
by
th
e
auth
o
r:
12
Table 3.2: Results of qualitative research on factors that are filtered into the research model
Proposal of research model Qualitative research results Related theory Expected
1 Business plan Put into research model
Adjust the name of factor 1:
Information about the business
Asymmetric information theory
Applied theory in banking credit management
Affect
2 Business purposes
3 Products, services and
potentials, risks (business
risks)
4 Business size
5 Financial report Put into research model
Adjust the name of factor 2:
Financial information
Asymmetric information theory
Applied theory in banking credit management
Theory of the negative choice of credit markets
Affect
6 Collateral Put into research model
Adjust the name of factor 3:
Information about collateral
Asymmetric information theory
Applied theory in banking credit management
Theory of ethical risks in banking operations
Affect
7 Credit history records Put into research model
Adjust the name of factor 4:
Information about credit history
Applied theory in banking credit management Affect
8 Trust (ability and
entrepreneurial personality)
Put into research model
Adjust the name of factor 4:
Information about the capacity of
business owners
Theory of judgment and perception in decision
making
Applied theory in banking credit management
Affect
9 Understanding of business
owners
10 Owner characteristics Put into research model
Adjust the name of factor 5:
Information about the personality of
the business owner
Put into research model
Adjust the name of factor 5:
Information about the personality of
the business owner
Asymmetric information theory
Applied theory in banking credit management
Affect
11 3rd party opinion
12 Participation in social networks Put into research model Adjust the name of factor 6:
Asymmetric information theory
Applied theory in banking credit management
Affect
13
Pr
o
po
sa
l o
f r
es
ea
rc
h
m
o
de
l
Qu
a
lit
a
tiv
e
re
se
a
rc
h
re
su
lts
R
el
a
te
d
th
eo
ry
Ex
pe
ct
ed
In
fo
rm
at
io
n
ab
o
u
t
th
e
so
ci
al
n
et
w
o
rk
pa
rt
ic
ip
at
io
n
o
f t
he
bu
sin
es
s
So
ci
al
ca
pi
ta
l t
he
o
ry
13
M
ai
n
le
n
di
n
g
ba
n
k
Pu
t i
n
to
re
se
ar
ch
m
o
de
l
A
dju
st
th
e
n
am
e
o
f
fa
ct
o
r
7:
In
fo
rm
at
io
n
ab
o
u
t
th
e
re
la
tio
n
sh
ip
w
ith
th
e
ba
n
k
A
sy
m
m
et
ric
in
fo
rm
at
io
n
th
eo
ry
A
pp
lie
d
th
eo
ry
in
ba
n
ki
n
g
cr
ed
it
m
an
ag
em
en
t
Th
eo
ry
o
f t
he
n
eg
at
iv
e
ch
o
ic
e
o
f c
re
di
t m
ar
ke
ts
So
ci
al
ca
pi
ta
l t
he
o
ry
A
ffe
ct
14
Ti
m
e
o
f r
ela
tio
n
sh
ip
s
15
N
u
m
be
r
of
ba
n
k
pr
od
u
ct
s
So
u
rc
e
:
Au
th
o
r'
s
re
se
a
rc
h
D
ia
gr
a
m
3.
1:
M
o
de
l o
f f
a
ct
o
rs
in
flu
en
ci
n
g
le
n
di
n
g
de
ci
sio
n
s
to
SM
E
cu
st
o
m
er
s
a
t c
o
m
m
er
ci
a
l b
a
n
ks
in
th
e
N
o
rt
hw
es
t r
eg
io
n
o
f
V
ie
t N
a
m
So
u
rc
e
:
Au
th
o
r'
s
re
se
a
rc
h
In
fo
rm
at
io
n
se
rv
in
g
lo
an
de
ci
sio
n
s
Lo
an
de
ci
sio
n
s
H
a
rd
in
for
m
a
tio
n
:
1.
In
for
m
a
tio
n
a
bo
u
t t
he
bu
si
n
es
s
2.
Fi
n
a
n
ci
a
l i
n
for
m
a
tio
n
3.
In
for
m
a
tio
n
a
bo
u
t c
o
lla
te
ra
l
4.
In
for
m
a
tio
n
a
bo
u
t c
re
di
t h
is
to
ry
So
ft i
n
for
m
a
tio
n
:
5.
In
for
m
a
tio
n
a
bo
u
t t
he
ca
pa
ci
ty
o
f th
e
bu
si
n
es
s
o
w
n
er
6.
In
for
m
a
tio
n
a
bo
u
t t
he
bu
si
n
es
s
o
w
n
er
pe
rs
o
n
a
lit
y
7.
In
for
m
a
tio
n
a
bo
u
t s
o
ci
a
l n
et
w
o
rk
in
g
pa
rt
ic
ip
a
tio
n
8.
In
for
m
a
tio
n
a
bo
u
t t
he
re
la
tio
n
sh
ip
w
ith
th
e
ba
n
k
H
1
H
2
14
Specifically, 52 properties have been considered, synthesized and developed by the
author as follows:
Table 3.3: Attributes in hard information
Symbol Properties Source
Information about the business
DN1 Scale of SMEs Mason,Stark (2004);
Petersen,MA.(2004;
Petersen,Rajan(200);
Berry et al. (1993);
Uchida et al. (2006);
Cole,Wolken(1995).
Nguyen Anh Hoang
(2014)
DN2 Enterprise brand recognitio
DN3 Information about enterprise resources
DN4
Management principles and system (strategy, structure,
culture, policy)
DN5 Business outlook (products and markets)
DN6 Business plan
DN7 Information about customers, markets, suppliers
Financial information
TC1 Clear and professional accounting system and reporting
Mason,Stark (2004);
Uchida et al (2006).
Nguyen Anh Hoang
(2014)
TC2 Revenue and profit of SMEs
TC3 Assets and capital resources of SMEs
TC4 Cash solvency ratio
TC5 Capital structure ratio
TC6 Rate of return
TC7 Operating ratio
TC8 Statements of cash flows
Information about collateral
TSTC1 Personal assets of business owners in SMEs Uchida et al. (2006);
Petersen,MA.(2004).
Nguyen Anh Hoang
(2014)
TSTC2 SMEs' ability to mortgage real estate
TSTC3
SMEs' ability to pledge other tangible collateral (different
from real estate)
Information about credit history
LSTD1 Positive credit information in transactions with banks
Uchida et al. (2006);
Berger,Udell (2006).
Nguyen Anh Hoang
(2014)
LSTD2 The type and value of the mortgage for a loan in the past
LSTD3 Negative credit information in transactions with banks
LSTD4 The owner was once bankrupt
LSTD5 Earnings and other personal financial information of the owner
LSTD6 Utility billing record
LSTD7 Court rulings related to the business
LSTD8 Credit requests from other lenders.
Table 3.4: Properties in soft information
Symbol Properties Source
Information about the capacity of business owners
NLCSH1 Business owners have an educational background Berry et al. (1993) ;
Uchida et al. (2006);
Ravina(2008);
Petersen,MA.(2004);
Petersen,Rajan(2002);
Khung et al. (2001);
Ferrary (2003);
NLCSH2 Business owners have experience in the business sector
NLCSH3 Business owners have experience in management
NLCSH4 Business owners have the ability to make plans
NLCSH5 Business owners use modern technology in business
management
NLCSH6 A business owner is good at selecting and managing
15
Symbol Properties Source
necessary resources Berger (1998);
Berger,Udell (2002);
Ajagbe (2013)
Nguyen Anh Hoang
(2014)
NLCSH7 Business owners are good at understanding market
changes
NLCSH8 Business owners make a positive impression on the bank by demonstrating their knowledge and skills.
Information about the personality of the business owner
TSCSH1 Business owners show a positive reception of banking procedures
Khung et al. (2001);
Ferrary (2003);
Berger (1998);
Berger,Udell (2002);
Ajagbe (2013)
Nguyen Anh Hoang
(2014)
TSCSH2 Business owners are introduced as integrity (from a third party)
TSCSH3 Business owners voluntarily share honest and sensitive information with the bank
TSCSH4 Business owners have good experience working with banks
TSCSH5 Business owners adapt their interests with those of
commercial partners
TSCSH6 Business owners pay attention to the needs of employees.
TSCSH7 Business owners are completely honest in the negotiation process with trading partners
TSCSH8 Business owners are consistent with their actions and decisions.
Information about your business's social network participation
MLXH1 Business owners have a solid personal network with banks and other financial institutions
Berry et al. (1993) ;
Uchida et al. (2006);
Petersen(2004);
Ferrary (2003);
Berger, Udell (2002);
Petersen,MA. (2004).
Nguyen Anh Hoang
(2014)
MLXH2 Business owners have a solid personal network with government officials
MLXH3 Business owners have a solid network with other entrepreneurs in other businesses
MLXH4 Relationship with customers
MLXH5 Relationship with supplier
Information about the relationship with the bank
MQHNH1 Number of years the business owner has a relationship
with the bank
Uchida et al. (2006)
Nguyen Anh Hoang
(2014)
MQHNH2 The owner / business used to borrow from your bank
MQHNH3 The owner / enterprise has the same outstanding balance at
another bank
MQHNH4 Your bank is the primary bank of the SME
MQHNH5 The amount of products the entrepreneur uses at your bank
16
Source: Author's research
3.3. Quantitative research
3.3.1. Quantitative research objectives
- Verifying the reliability of the scale through Cronbach’alpha coefficient> 0.3 and
EFA analysis in preliminary survey, proposing the official questionnaire.
- Descriptive statistics on factors included in the research model affecting a bank's
lending decision.
- Test the reliable EFA of the official scale
- Identify factors influencing the bank's lending decision to SMEs in the Northwest
region.
- Using regression model to quantify the relationship of hard and soft information
factors that affect a bank's lending decision.
3.3.2. Design of quantitative research
Selection of quantitative research methods: survey methods.
Building scale: Level of Likert scale with 5 levels (Nguyen Anh Hoang, 2014)
Survey Table: Part A is the questions about the characteristics of the surveyed object,
Part B is the questions related to the objective of testing research hypotheses.
Table 3.5: Summary of 08 groups of factors after qualitative research
Biến Chỉ báo
Hard
information
Information about the business DN1, DN2, DN3, DN4, DN5, DN6, DN7
Financial information TC1, TC2, TC3, TC4, TC5, TC6, TC7, TC8
Information about collateral TSTC1, TSTC2, TSTC3
Information about credit history LSTD1, LSTD2, LSTD3, LSTD4, LSTD5, LSTD6, LSTD7, LSTD8
Soft
information
Information about the capacity of
business owners
NLCSH1, NLCSH2, NLCSH3, NLCSH4,
NLCSH5, NLCSH6, NLCSH7, NLCSH8
Information about the personality
of the business owner
TCCSH1, TCCSH2, TCCSH3, TCCSH4,
TCCSH5, TCCSH6, TCCSH7, TCCSH8
Information about your
business's social network
participation
MLXH1, MLXH2, MLXH3, MLXH4, MLXH5
Information about the
relationship with the bank
MQHNH1, MQHNH2, MQHNH3, MQHNH4,
MQHNH5
Table 3.6: Factors affecting, coding the question and choosing suitable scales
Factor Survey question Encode Selection
scale
Information
about the
business
Scale of SMEs DN1
Likert
1-5
Enterprise brand recognitio DN2
Information about enterprise resources DN3
Management principles and system DN4
Business outlook DN5
Business plan DN6
Information about customers, markets, suppliers DN7
17
Factor Survey question Encode Selection
scale
Financial
information
Clear and professional accounting system and reporting TC1
Likert
1-5
Revenue and profit of SMEs TC2
Assets and capital resources of SMEs TC3
Cash solvency ratio TC4
Capital structure ratio TC5
Rate of return TC6
Operating ratio TC7
Statements of cash flows TC8
Information
about
collateral
Personal assets of business owners in SMEs TSTC1 Likert
1-5 SMEs' ability to mortgage real estate TSTC2 SMEs' ability to pledge other tangible collateral TSTC3
Information
about credit
history
Positive credit information in transactions with banks LSTD1
Likert
1-5
The type and value of the mortgage for a loan in the past LSTD2
Negative credit information in transactions with banks LSTD3
The owner was once bankrupt LSTD4
Earnings and other personal financial information of the
owner
LSTD5
Utility billing record LSTD6
Court rulings related to the business LSTD7
Credit requests from other lenders. LSTD8
Information
about the
capacity of
business
owners
Business owners have an educational background NLCSH1
Likert
1-5
Business owners have experience in the business sector NLCSH2
Business owners have experience in management NLCSH3
Business owners have the ability to make plans NLCSH4
Business owners use modern technology in business
management NLCSH5
A business owner is good at selecting and managing
necessary resources NLCSH6
Business owners are good at understanding market
changes NLCSH7
Business owners make a positive impression on the bank
by demonstrating their knowledge and skills. NLCSH8
Information
about the
personality
of the
business
owner
Business owners show a positive reception of banking
procedures TSCSH1
Likert
1-5
Business owners are introduced as integrity (from a third
party) TSCSH2
Business owners voluntarily share honest and sensitive
information with the bank TSCSH3
Business owners have good experience working with
banks TSCSH4
Business owners adapt their interests with those of
commercial partners TSCSH5
Business owners pay attention to the needs of
employees. TSCSH6
18
Factor Survey question Encode
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