24
4
28
11
6
2
2
15
5
3
2
1
19
15
7
6
59
DOCUMENT
IJABER_Vol 15_No 20
SCORE
64
ISSUES FOUND IN THIS TEXT
209
PLAGIARISM
4
%
Contextual Spelling
28
Misspelled Words
Confused Words
Grammar
49
Determiner Use (a/an/the/this, etc.)
Faulty Subject-Verb Agreement
Wrong or Missing Prepositions
Incorrect Noun Number
Incorrect Verb Forms
Punctuation
23
Comma Misuse within Clauses
Punctuation in Compound/Complex Sentences
Closing Punctuation
Sentence Structure
3
Misplaced Words or Phrases
Incomplete Sentences
Style
47
Passive Voice Misuse
Improper Formatting
Unclear Reference
Wordy Sentences
Vocabulary enhancement
59
Word Choice
IJABER_Vol 15_No 20
Ifrs Adoption and the Value Relevance of Other
Comprehensive Income (Oci ) in Indonesia
International Journal of Applied Business and Economic
Research
ISSN : 0972-7302
available at http : www.serialsjournal.com
Serials Publications Pvt. Ltd. Volume 15 • Number 20 •
2017
Determine Student's Loyalty with Student's Trust As
Moderating Variable
Lusiah1*, Paham Ginting1, Arlina Nurbaity Lubis1 and
Endang Sulistya Rini1
1Universitas Sumatera Utara.
*Correspondent author. E-mail: lusiah79@gmail.com
Abstract: The student's attrition rate at five private
universities in Medan is at 14.86%, this figure is
considered very high. Students who dropped out of the
university revealed many reasons about the disloyalty. The
high level of student's loyalty on their university showed
from the less number of drop-out students. The less of
attrition's rate (drop-out) determine that the student who
study at that program was loyal. This is applying
otherwise, rate of the higher attrition that
determine the lower of the student loyalty. 2
Unoriginal text: 34 words
staff.ui.ac.id/system/files/users/sylvia.v…
[determine → determines]
9
[study → studies]
10
The purpose of this study is to determine the effect of the
university's image and student's perceived value and
student's trust as moderating variable on student's loyalty.
This study involved 296 respondents from five private
universities which have the largest number of students
enrolled in the Faculty of Economics. SEM PLS with the
help of a software called WarpPLS is used for data
analysis. The results showed that the image of university
and student's perceived value have a positive and
significant effect on student's loyalty. The result also
showed that student's perceived value gives the greatest
direct impact on student's loyalty . Student's trust has
significant as moderating variable between student's
perceived value and student's loyalty .
Keywords: Image, Perceived Value, Trust, Loyalty.
INTRODUCTION
Competition among universities makes higher education
providers leave the context of improving the quality of
higher education, they are more concerned with how to
get the target number of students to ensure continuity of
college operations. The number of private universities in
the Province of North Sumatra is the largest on the island
of Sumatra. (Statistic Indonesia, 2015). This shows that
competition among private universities in North Sumatra
Province is very high.
The level of student loyalty at a university can be seen
from the minimal number of drop- out students during the
active period of the study from the beginning up to 4 (four)
study years, which is the
153 International Journal of Applied Business and
Economic Research
Lusiah, Paham Ginting, Arlina Nurbaity Lubis and Endang
Sulistya Rini Repetitive word: rate
12
[the rate or a rate]
13
Repetitive word: attrition
14
Repetitive word: determine
15
[determine → determines]
16
[, the]
17
Unoriginal text: 8 words
clinicaltrials.gov/ct2/show/NCT01655…
18
Overused word: largest
19
Passive voice
20
Overused word: greatest
21
Repetitive word: loyalty
22
Repetitive word: loyalty
23
[ ]
24
Unclear antecedent
standard time period for the undergraduate program.
The fewer levels of attrition (drop- out) indicated that
students who study in the course are satisfied and will form
loyalty later, vice versa. The level of drop-out students at
Open University's Faculty of Economics is quite high at
22% per semester (Mulyana and Ayuni, 2014) . Online
Universities or distance education have higher level of
drop-out compared to conventional colleges (Barefoot,
2004). The level of drop out at online universities or
distance education is at about 30-50% (Frankola 2001 in
Yulselturk and Inan, 2006) . In Asian countries it is
recorded that the drop-out rate at online universities or
distance education is at 50% (Shin and Kim, 1999 in
Fozdar et al., 2006).
At Medan, five private universities that have the largest
number of economy students namely, Univesitas
Muhammadiyah Sumatera Utara, Universitas Prima
Indonesia, Universitas Katolik Santo Thomas, Universitas
Pembangunan Panca Budi and Universitas Methodist
Indonesia (based on data processed from
forlap.ristekdikti.go.id, 2016) have students drop- out level
18,76 % ; 14,19%; 12,05% ; 13,95% and 15,33%
respectively. It can be concluded that the average level
of student attrition at universities in Medan reached
14.86% per year.In accordance with the statement
Barefoot (2004) which states the level of attrition at
conventional universities are lower online universities or
distance education.
Image of university and students perceived valueare the
key to student loyalty. Also if an university can gain
trust of student , so it can be concluded that students are
going to be loyalor not.A university is said successful
in producing qualified graduates only if the students feel
satisfied with the process of studying. Student's loyalty is
the main thing that must be obtained by the college. A
loyal student will certainly uphold his alma mater, will
not drop-out in the middle of his studies and spread
positive information to the public about the university
26 25 27
[countries,]
33
Wordiness
34
Overused word: largest
35
time period → period
Univesitas → Universitas
where he or she is studying.
Following is the result of a survey conducted on the
undergraduate Management Program at private universities
in Medan, the initial survey of 30 respondents who were
transfer students of the undergraduate Management
Program was conducted at 10 universities in Medan
City. The results of responses from 30 respondents can be
seen in the table 1.
Based on the survey results, can be seen that the strong
reason for students to move to other university is difficult
to pass the exam and many tasks to be completed .
Available programs are not as expected, Inefficiency of
academic administration services, lack of proper
information. Furthermore, University's image is not as
expected, Students Appreciation is not noticed and
university did not much of encouragement to students
to join competition activities
The research conducted by Kunanusorn and Puttawong
(2015) shows a strong relationship between student's
value, image of university and student trust. Image
has a direct and significant relationship to loyalty
(Kunanusorn and Puttawong, 2015; Usman et al., 2016;
Wong et al., 2016; Taecharungroj, 2014; Hasyim et al.,
2015; Helgesen and Nesset, 2007). Sampaio, et al. (2012)
emphasizes that in using services provided by the
University, student trusts will first form student perceived
value and then will form a decision to keep using the
services provided in the future or to recommend it to
others. Hasan, et al. (2014) states that trust is between
perceived value and customer loyalty. Hashim, et al.
(2015) explains that trust does not moderate the
relationship between student's perceived value and
student's loyalty .
Purpose of Study
To understand and analyze the influence of university's
image , student's perceived value and student's trust as a 49
Repetitive word: attrition
41
Unusual word pair
42
[valueare → valueare]
43
[an university → a university]
44
Overused word: certainly
49
Repetitive word: survey
50
Passive voice
51
Repetitive word: conducted
52
Overused word: strong
56
[the university]
60
[ ]
61
[activities.]
62
Overused word: strong
loyalor → loyalor
moderation variable to student's loyalty.
International Journal of Applied Business and Economic
Research 154
Ifrs Adoption and the Value Relevance of Other
Comprehensive Income (Oci ) in Indonesia
Table 1
Reasons Students moved from previous University
No.
Information
Total
Percentage
1
Lack of interaction with other Students
8
26.67%
Financial issues related to:
(a)
High tuition fees
8
26.67%
(b)
Many other additional costs
14
[the university]
65
Repetitive word: Image
66
[The image or An image]
67
Repetitive word: relationship
68
Repetitive word: trust
72
Repetitive word: loyalty
73
Dangling modifier
74
[the student's or a student's]
75
Unoriginal text: 13 words
staff.ui.ac.id/system/files/users/sylvia.v…
The system used is still conventional
12
40.00%
4
Hard to pass the semester exam
18
60.00%
5
Many tasks to complete
16
53.33%
6
Available programs are not as expected
21
70.00%
7
Inefficiency of academic administration services
19
63.33%
8
Inefficiency of counseling institutions
9
30.00%
9
Lack of proper information from the Department
17
56.67%
10
Slow Response from
(a)
Office of Department
11
36.67%
(b)
Academic Administration service
9
30.00%
80
82 81
80
11
Not availability
(a)
Teaching materials
5
16.67%
(b)
Tasks and Exam Materials
8
26.67%
(c)
Other relevant information
4
13.33%
12
Students Appreciation is not noticed
25
83,33%
13
Not much of encouragement to students to join competition
activities
22
73,33%
Sources: Initial survey of transfer students on 10
universities in Medan, 2016.
LITERATURE REVIEW
Influence of University's Image to Student's Loyalty
The relationship between institutional image to loyalty
lies in the desire and consumer choice. Decesion
(Attitudes) toward a particular institution often affect
whether the consumer will be loyal or not. Good 83
84
85
86
87
81
Repetitive word: Inefficiency
82
perceptions and consumer's trust in an institution will
create consumer buying interest and even increase
customer loyalty to the institution.
Analysis of the relation between institutional image
with customer loyalty statistically shows that the image
has a significant and positive influence on consumer
loyalty (Tu, 2013, Barusman, 2014, Hashim, 2015,
Kunanusorn and Puttawong, 2015; Usman and Mokhtar,
2016). The result of Hashim's (2015) study explains that
the influence of image on loyalty is greater than the
influence of perception of value to loyalty .
The Effect of Student's Perceived Value on Student's
Loyalty
Griffin's research (2003) states that to get loyal
customers , the company must provide customer value
continuously by improving, or even changing the product
or service to increase value for the customer.
155 International Journal of Applied Business and
Economic Research
Lusiah, Paham Ginting, Arlina Nurbaity Lubis and Endang
Sulistya Rini
Hashim et al. (2015) indicates that values have a direct
positive and significant effect on student loyalty.
Values also have a good effect as a mediating variable
between image and loyalty.
However, Kunanusorn (2015) and Taecharungroj (2014)
explained that the value are influenced more on loyalty
through student satisfaction than directly. Several further
studies indicate a strong relationship between consumer
value and student loyalty. (Hasan et al., 2014; Carvalho,
2010)
[the institutional or an institutional]
86
[Decesion → Decision]
87
Overused word: Good
88
Possibly confused word
89
[an institutional or the institutional]
90
Repetitive word: image
91
Overused word: greater
92
Repetitive word: influence
93
The Impact of University's Image on Student's Perceived
Value
Brown and Mozzarol (2008) Stated that institutional image
has a strong effect on students' perception of value.
Kunanusorn and Puttawong (2015) Argue that students'
perceptions of value have the greatest impact on
image , while Hashim et al (2015) also examines the
strong relationship between institutional image and
student perceptions. Tu, Li and Chi (2013) state that
companies must build a positive image in the eyes of
consumers. This is very important in creating good value
from consumers.
The higher the identification with overall brand image, the
higher the willingness of the students to enroll; likewise,
the lower the identification with overall brand image,
the lower the willingness of the students to enroll .
Therefore, the overall brand image of schools was
highly related to the customer lifetime value of students.
(Chen and Chen, 2014).
Conceptual Framework
According to reviewing the literatures , there are two
independent latent variables which effects student
loyalty: university's image, student's perceived value and
one moderating variable is student's trust. Student's
Perceived Value is an antecedent or mediator of a construct
which is assumed to be the driver of student's loyalty as
will be subsequently discussed. The conceptual frame
work and relations between latent variables of this
research are presented in Figure 1 below.
KC
[indicates → indicate]
96
[are → is]
97
[on → by]
98
Overused word: strong
99
Overused word: strong
100
Overused word: greatest
101
[the image]
102
[et al → et al.]
LM
CU (R)6i (R)6i
NM
(R)8i
Figure 1: Latent Variable Relations Frame Work
International Journal of Applied Business and Economic
Research
156
Ifrs Adoption and the Value Relevance of Other
Comprehensive Income (Oci ) in Indonesia
RESEARCH METHODOLOGY
Population and Samples
The study involved five private universities in Medan
specifically on the undergraduate Management Programs,
namely as many as 296 students from Universitas
Muhammadiyah Sumatera Utara, Universitas Prima
Indonesia, Universitas Katolik Santo Thomas, Universitas
Pembangunan Panca Budi, dan Universitas Methodist
Indonesia. The election of five private universities is
based on the highest number of students in the Faculty
of Economics. Student sampling is based on students'
willingness to fill out questionnaires.
Measure of Concept 119
120 118
121
122
Overused word: strong
104
[, and]
105
Repetitive word: image
106
Unclear antecedent
107
[from → for]
108
Repetitive word: identification
109
Repetitive word: overall
110
Unoriginal text: 22 words
www.krepublishers.com/02-Journals/T…
111
Repetitive word: enroll
112
Repetitive word: overall
113
Possibly miswritten word: frame work
117
Passive voice
This research was a quantitative research. The model
had been adjusted as latent and manifest variables in
accordance with environment and culture of population
aimed to be studied. An operational definition in
questionnaire was tested and modified in case of some
operational definitions that suitable for operation in the
field.
Due to complex nature of the model, the Partial Least
Squares (PLS) structure equation modeling approach
was used to test the model. This procedure allowed us to
test the proposed structure of the model totally .
Measurement for independent and dependent variables
used was a seven- point Likert type response format,
with "strongly disagree" to "strongly agree" (1 = strongly
disagree, 2 = disagree, 3 = somewhat disagree, 4 = neither
agree nor disagree, 5 = somewhat agree, 6 = agree, 7 =
strongly agree). In measurement model, 21 indicators were
used to measure study of latent constructs; student's
satisfaction (7 indicators), university's image (6 indicators)
and student's perceived value (8 indicators).
Data Analysis
Data analysis technique used in this research is SEM
(Structural Equation Model) analysis technique. SEM with
component or variance basis is an alternative covariance
with compon ent-based approach with PLS which aim as
prediction . Beside to confirm the theory, PLS also
explain the presence or absence of relationships between
latent variables, therefore in the framework of
research-based predictions PLS is more suitable for analyzing data.
PLS can simultaneously analyze constructs formed with
reflective and formative indicators. This cannot be done
by a Covarian -based SEM as it would be an unidentified
model. There are 2 models that must be analyzed
in PLS, namely: Assessing outer model or measurement
model and Assessing inner model or structural model.
Analytical Results
128 130 129
131
140 139 141
118
Unoriginal text: 13 words
staff.ui.ac.id/system/files/users/sylvia.v…
[ a quantitative]
124
Passive voice
125
[ ]
Ifrs → IFRS
Initially, results from description of respondents were
summarized that 67.57% of them were females and
32.43% were males. 73.65% were just study not
working and 26.35% study and working. Most of them
(55.07%) know the university from friends and 58.11%
of the students were in the 6th semester.
Validating Measurement Model and Validating Structural
Model
The Partial Least Squares (PLS) algorithm is used to test
the structural equation models. This approach consists of
an iterative process that maximizes the predictive and
explanatory powers of the models, which
157 International Journal of Applied Business and
Economic Research
Lusiah, Paham Ginting, Arlina Nurbaity Lubis and Endang
Sulistya Rini
are assessed in terms of the R2 values of the dependent
variables on independent variables had a high value (50%)
in the model.
KC
[the questionnaire]
127
Possibly confused word
128
Repetitive word: test
129
Overused word: totally
130
[totally]
131
[sevenpoint → seven-point]
132
[the student's or a student's]
133
[student's → student are]
134
[the component-based]
135
[a prediction or the prediction]
136
Repetitive word: analyze
137
(P=0.03)
β = 0.20 (R)6i
(R)6i
(P<. 01)
R2
= 0.50
β = 0.
11
(P<.
NM
142
[the description or a description]
143
Passive voice
144
[were summarized → have summarized]
145
[ ]
146
[, and]
147
[ ]
were just study → were just studying
β = 0.22
(R)8i
(P<.01)
R2 = 0.25
Figure 2: Latent Variable Relations Frame Work
In outer model, the measure's quality using the Loading
(Table 1) of each measured variable was examined to
ensure the measurement variable load meaningfully to their
related constructs. Overall, the measurement variable
loading are all relatively large and positive. An
individual loading was exceeded 0.400-0.700 (Sholihin dan
Ratmono, 2013) to ensure that at least half of the variance
in the observed variable is shared with the construct.
An Average Variance Extracted (AVE) is used to check the
validity of the measurement model which is widely
used . To ensured discriminant validity of the constructs,
the AVEs of the latent variables should be greater than
the square of the correlations among the latent variables.
The discriminant validity result which show the lowest
value of AVE is 5,95. AVE value on CU latent variable.
AVE value for each latent variable has the value greater
than 0,5.
Moreover, in Table 2, table shows that the lowest value 148
149 150
151
152
153
154
155
of cronbach alpha is 0,862 on CU latent variable. The
lowest value of composite reliability 0,898 on CU
latent variable. It shows that there are high consistency and
stability of the instrument . In other words all
constructs or variables of this study can already be a fitting
gauge, and all the questions used to measure each construct
have good reliability.
Testing The Hypotheses
P-values between University's Image and Student'sLoyalty
is 0.028, which is smaller than significance value of 0,05.
Path coefficient from University's Image to Student's
Loyalty is 0,151. P-values between Student's Perceived
Value to Student's Loyalty is 0.008, which is smaller than
significance value 0,05 with path coefficient
International Journal of Applied Business and Economic
Research 158
Ifrs Adoption and the Value Relevance of Other
Comprehensive Income (Oci ) in Indonesia
Table 1
Summary of Results for Reflective Outer Model
Latent Variable
Indicators
Mean
Loading
Composite Reliability
AVE
157
158 159
160 161
162
163 164
166
167 165
148
[the outer or an outer]
149
[are → is]
150
Overused word: large
151
Passive voice
152
Passive voice
University's Image
CU01
4.743
0.723
0.898
0.595
CU02
4.307
0.802
CU03
4.716
0.857
CU04
4.503
0.816
CU05
4.524
0.748
CU06
3.882
0.669
Overused word: greater
154
[show → shows]
155
Overused word: greater
156
[the table or a table]
157
[ ]
158
Repetitive word: lowest
159
Repetitive word: value
160
[instrument. → instrument.]
161
[words,]
162
Overused word: good
163
[a path or the path]
164
[coefficient.]
165
Unoriginal text: 13 words
staff.ui.ac.id/system/files/users/sylvia.v…
166
[ ]
167
[Oci → Oct]
cronbach → Cronbach
Student's Perceived Value
NM01
4.838
0.758
0.928
0.619
NM02
4.608
0.725
NM03
4.385
0.759
NM04
4.382
0.722
NM05
5.314
0.858
NM06
5.149
0.827
NM07
0.838
NM08
5.260
0.800
Student's Trust
KC01
4.818
0.772
0.958
0.694
KC02
4.581
0.778
KC03
4.105
0.850
KC04
4.193
0.857
4.297
0.820
KC06
4.446
0.857
KC07
3.929
0.869
KC08
4.057
0.877
KC09
4.615
0.811
KC10
4.639
0.829
LM01
4.304
0.685
0.925
0.673
LM02
4.878
0.822
LM03
5.655
0.891
LM04
6.122
0.793
LM05
5.399
0.845
LM06
5.493
159 International Journal of Applied Business and
Economic Research
Lusiah, Paham Ginting, Arlina Nurbaity Lubis and Endang
Sulistya Rini
Table 2
Assessment of the Validity of the Latent Variables
Latent Variable Correlation
Latent Variables
University's
Student's Perceived
Student's
Student's
Cronbach's
Image
Value
Trust
Loyalty
'
University's Image
0.772
0.498
0,349
0,451
0.862
0.000
Student's Perceived Value
0.498
0.787
0,625
0,611
0.911
0.248
Student's Trust
0.443
0.706
0,833
0,776
0.951
0.000
Student's Loyalty
0,451
0,611
0,557
0,820
0.901
0.503
0,216.P-values between University's Image and Student's
Perceived Value is P < 0.001, with path coefficient from
University's Image to Student's Perceived Value is
0,498. P-values between University Image and Student's
Perceived Value as mediating variable is P < 0.001, which
is smaller than significance value of 0,05. Path coefficient
from University Image and Student's Perceived Value as
mediating variable to Student's Loyalty is 0.181. P-values
between Student's Perceived Value and Student's Trust as
moderating variable is 0.009, which is smaller than
significance value of 0,05. Path coefficient from Student's
Perceived Value and Student's Trust as moderating
variable to Student's Loyalty is -0,195. The indirect
influence of the University's Image on Student's Loyalty
through Student's Perceived Value is significant. In other
words, the Student's Perceived Value significantly
mediates the relationship between the University's Image
on Student's Satisfaction.
Table 3
P-Value for Path Estimates
Hypothesis
Path. Coef
P-value
Result
H1
= CU ' LM
0.151
0.028
Accept
H2
= NM ' LM
0.216
169
0.008
Accept
H3
= CU ' NM
0.498
< 0.001
Accept
H4= CU ' NM ' LM
0.181
< 0.001
Accept
H5
= KC × NM ' LM
–0.195
0.009
Accept
Four main concepts of the research model (university's
image, student's perceived value, student's trust, and
student's loyalty) are likely by four path estimates that are
all hypothesized to be positive (Hypothesis 1-Hypothesis
5). The findings support all hypotheses are significant at
the 0.05 level. This suggests that university image has a
significant direct positive effect on student's loyalty
(Hypothesis 1); student's perceived value has a significant
positive direct effect on student's loyalty (Hypothesis
2); university's image has a significant positive direct
effect on student's perceived value (Hypothesis 3);
university image has a significant positive indirect effect
from student percieved value on student loyalty
(Hypothesis 4); student's trust as moderating variable has a
significant effect on student's loyalty (Hypothesis 5).
Influence given from the result of moderation of trust
to student value and student loyalty is significant but
inversely proportional. 171
173 174
175
176
177
178 179
180 172
181 182
183
168
[from → From]
169
[Value,]
170
International Journal of Applied Business and Economic
Research 160
Ifrs Adoption and the Value Relevance of Other
Comprehensive Income (Oci ) in Indonesia
In Table 3 shows that the positive hypotheses are
supported and the proposed relationships are
significant. The results from this study (including measures
of overall quality and overall outcomes) also provides
support to the hypothesized relationships. University's
image is a causal variable that put effect on the student's
loyalty, and there are influenced by mediating variables via
Student's perceived value.
CONCLUSIONS
The result of the research shows that the university's image
and student's perceived value have a positive and
significant influence either directly or indirectly to
student's loyalty. The results of this study are supported
from previous research which also found that the
university's image and student's perceived value influenced
student's loyalty (Tu, 2013; Barusman, 2014; Hashim,
2015; Kunanusorn dan Puttawong, 2015; Usman dan
Mokhtar, 2016). The result of this research share the same
result as Hashim, 2015 the university's image gives a
greater indirect impact on student loyalty through
student value. In this research, Student's trust in Medan, is
measured by student's trust about technical competence
mastery, the University's management team's attitude, the
openness to accept and share information, the sincerity to
serve and consistency; in the end, trust can serve as
moderating variable between student's perceived value and
student's loyalty.
In conclusion, the students value can be one of the
things that need to be considered as an important
strategy for the planning of higher education institutions. 184
185 186
187 188
189
190
191
192
193
194
196
197
195
198
199 200
171
Overused word: main
REFERENCES
Asmawi, MR. (2005), Strategi Meningkatkan Lulusan
Bermutu di Perguruan Tinggi. Jurnal Sosial Humaniora.
Vol. 9. No. 2.
Desember 2005 : 66-71.
Brown, Robert M. and Timothy William Mazzarol.
(2009), The importance of institutional image to student
satisfaction and loyalty within higher education. High
Educ. Vol. 58: 81-95.
Carvalho,Sergio W. and Ma´rcio de Oliveira Mota.
(2010), The role of trust in creating value and student
loyalty in relational exchanges between higher education
institutions and their students. Journal of Marketing for
Higher Education. Vol. 20(1): 145-165.
Chen, Chun-Fu dan Chin-Tsu Chen. (2014), The Effect of
Higher Education Brand Images on Satisfaction and
Lifetime Value from Students' Viewpoint. Anthropologist,
17(1): 137-145.
Ghozali, Imam dan Latan, Hengky. (2014), Partial Least
Squares Konsep, Teknik dan Aplikasi Menggunakan
Program SmartPLS 3.0 Untuk Penelitian Empiris Edisi 2.
Badan Penerbit Universitas Diponegoro Semarang.
Hasan, Haslinda, Teo Poh Kiong , and Raja Azimah
Ainuddin, (2014), Effects of Perceived Value and Trust on
Customer Loyalty towards Foreign Banks in Sabah,
Malaysia. Global Journal of Emerging Trends in
e-Business, Marketing and Consumer Psychology
(GJETeMCP) An Online International Research Journal
(ISSN: 2311-3170) 2014 Vol: 1 Issue 2.
Hashim, Noor Azmi, Aliyu Olayemi Abdullateef, and
Bashir Danlami Sarkindaji, (2015), The Moderating
Influence of Trust on the Relationship between Institutional 201
Repetitive word: direct
174
Repetitive word: effect
175
Repetitive word: direct
176
Repetitive word: effect
177
Repetitive word: effect
178
[from → on]
179
Possibly confused word
180
Repetitive word: effect
181
[from]
182
Repetitive word: trust
183
Repetitive word: significant
184
[ ]
185
Unoriginal text: 8 words
staff.ui.ac.id/system/files/users/sylvia.v…
[provides → provide]
190
[an effect or the effect]
191
Image/Reputation, Perceived Value on Student Loyalty
in Higher Education Institution. International Review of
Management and Marketing, 2015, 5(3), 122-128.
Helgesen, Øyvind and Erik Nesset. (2007), Images,
Satisfaction and Antecedents: Drivers of Student
Loyalty? A Case
Study of a Norwegian University College. Corporate
Reputation Review. Vol. 10(1): 38 –59.
Kunanusorn, Anusorn and Duangporn Puttawong.
(2015), The Mediating Effect of Satisfaction on Student
Loyalty to Higher Education Institution. European
Scientific Journal. Special Edition Vol. 1 : 449-463.
Mulyana, Andy dan Ayuni, Devi. (2014), Peengaruh
Faktor-Faktor Pembentuk Loyalitas Mahasiswa Universitas
Terbuka.
Jurnal Manajemen Derivatif. Vol. 8. No. 2, November
2014.
161 International Journal of Applied Business and
Economic Research
Lusiah, Paham Ginting, Arlina Nurbaity Lubis and Endang
Sulistya Rini
Sampaio, Claudio Hoffmann, Marcelo Gattermann Perin,
Cla´udia Simo˜es and Hamilton Kleinowski. (2012),
Students' trust, value and loyalty: evidence from higher
education in Brazil. Journal of Marketing For Higher
Education. Vol. 22(1): 83-100.
Sholihin, Mahfud dan Ratmono, Dwi. (2013), Analisis
SEM-PLS dengan Warp-PLS 3.0 Untuk Hubungan
Nonlinear dalam Penelitian Sosial dan Bisnis. Penerbit
Andi. Yogyakarta.
Repetitive word: loyalty
193
Repetitive word: result
194
Overused word: greater
195
Wordiness
196
Repetitive word: trust
197
Repetitive word: serve
198
[ ]
199
Passive voice
200
Overused word: important
201
Unoriginal text: 8 words
Taecharungroj, Viriya. (2014), University Student Loyalty
Model: Structural Equation Modelling of Student Loyalty
in
Autonomous, State, Transformed, and Private
Unversities in Bangkok. Scholar. Vol. 6 No.1 : 66-77.
Tu, Yu Te , Mei Lien Li and Heng-Chi Chih. (2013), An
Emperical tudy of Corporate Brands Image, Customer
Perceived Value and Satisfaction on Loyalty in Shoe
Industry. Journal of Economics and Behavioral Student.
Vol. 5 No. 7 pp: 469-483.
Usman, Umar, Sany Sanuri Mohammad Mokhtar. (2016),
Analysis of Service Quality, University Image and Student
Satisfaction on Student Loyalty in Higher Education In
Nigeria. International Business Management 10(12):
2490-2502.
Wong, Antony, Arison Woo and Canon Tong. (2016),
Student Satisfaction and School Reputation: The
Moderating Role
of Student Loyalty and School Image. Journal of
Marketing and HR. Vol. 2 issue 1: 113-125.
214 215
216
217 218
219
220
205
Unoriginal text: 8 words
www.krepublishers.com/02-Journals/T…
206
[Kiong → Kong]
207
Unoriginal text: 4 words
globalbizresearch.org/files/gjetemcp_h…
208
Unoriginal text: 8 words
ideas.repec.org/a/eco/journ3/2015-03…
209
[, and]
210
International Journal of Applied Business and Economic
Research 162
211
[1 : → 1:]
212
[Cla'udia → Claudia]
213
[, and]
214
[Unversities → Universities]
215
[No.1: → No.1:]
216
[YuTe → Yu-Te]
217
[Emperical → Empirical]
218
[tudy → study]
[, and]
220