Email:
[email protected], [email protected]
KEYWORDS Promotion, Discounts, Repurchase
Interest, Service Quality |
ABSTRACT This research aims to explain and analyze the
effect of promotions, discounts on repurchase intention through service
quality to Grabfood customers in Indonesia. This
research used simple random sampling. The research objects were women and men
aged at least 18 years who accessed Grabfood and
had made purchases at Grabfood. There were 250
samples. Data collection was carried out by distributing questionnaires
electronically. The research variables were promotions and discounts as the
independent variables, service quality as the mediation variable and
repurchase intention as the dependent variable. This research used AMOS 24.0
to analyze the data. The results of the research showed that Promotion had
significant and positive effect on Service Quality, Discount did not have
significant effect on Service Quality, Service Quality had positive and
significant effect on Repurchase Intention, Promotion had significant and
positive effect on Repurchase Intention, and Discount did not have
significant effect on Repurchase Intention |
INTRODUCTION
The series in business ventures in the current
digitalization era proves very active development, marked by increasingly
fierce business competition. According to (Sutisna, 2002), discounts are product price reductions from the normal
price within a certain period. Several culinary businesses
have sprung up with the best offers and different menus. Indonesia is also
enlivened by the emergence of startups originating from abroad such as Shopee,
Grab, and other applications. Grab is a company that provides services when
users need services provided by the company or often referred to as on-demand
applications. Basically, Grab is a shuttle transportation service, but
currently Grab has developed and introduced several new services. The services
provided by Grab are GrabCar, GrabFood,
GrabBike, and GrabExpress.
Grab Food itself is the favorite service application from Grab Indonesia. But Grab also serves restaurants that work with Grab and are
registered in the application. Thus, it is safer and more convincing.
GrabFood is a food delivery service that can be accessed using
the grab application. By using a smartphone and opening the grabFood application in the grab feature,
customers can order food from restaurants that have worked with Grab. Food will be ordered and delivered
directly by the grab driver. This service is also very
similar to the delivery order service from a restaurant for culinary
entrepreneurs, especially micro, small and medium enterprises (MSMEs) with a
limited budget to develop delivery order services. GrabFood
can be an alternative solution that is very easy to help. MSME entrepreneurs
can also have delivery order services without having to prepare a fleet. Thus,
employers do not need to pay employees to order delivery (Grab.com, 2021).
�GrabFood can also facilitate services to meet
the needs of the community. Grab also provides various discounts in the form of
reduced costs from using services such as GrabBike, GrabCar, GrabTaxi, and GrabFood. The
discount given by Grab is around 20% to 60% of the total cost of the user's trip.
This promo is considered successful because many people have used or downloaded
Grab services. According to (Stavsky et al., 2017), the total number of
customers using Grab reaches 4 million every day and its application. Grab has also been downloaded by more than
136 million devices, tripling the number of downloads in August 2017.
In 2020, the company's revenue increased by 95% before the covid-19 pandemic. Grab
Co-Founder, Hooi Ling Tang said the improvements occurred because the company focused
on digitizing MSMEs. Innovations provided by Grab such as facilitating the
process of sending and serving food to consumers of food delivery services are
here to provide a solution called GrabFood
Table 1 Grabfood's competitors in the same
industry
No |
Application |
�Service |
Number of Downloads |
1 |
GrabFood (Grab) |
Food Delivery |
136 million�� + |
2 |
Go-Food (Gojek) |
Food Delivery |
154 million + |
3 |
Foodpanda |
Food Delivery |
3.5 million + |
4 |
UberEats |
Food Delivery |
1.7 million + |
5 |
Shopee Food |
Food Delivery |
300 million + |
������ Source: Android and ios users downloaded in 2021
Table 1 showed that competition
in the world of food delivery is not only GrabFood but also many other competitors in the same business.
The increasing number of competitors in the same industry shows a big threat in
the Food Delivery service business. From the number of application downloads,
it can be seen that Grab ranks second and UberEats is the least downloaded. In GrabFood, the beneficiaries are
restaurants that have collaborated with Grab. Restaurants that work with Grab
benefit greatly in terms of promotion because the Grab application also
displays the food they want to sell; thus, consumers can only see the pictures.
Promotions, discounts, and service quality influence repurchase interest (Wibawa, 2020). Repurchase interest
is formed after customers purchase products and services because there is a
feeling of satisfaction from consumers towards a product offered by a
particular company (Olaru, Purchase, & Peterson, 2008). According to (Tjiptono, Arli, & Bucic, 2014), repeating is a behavior that solely involves purchasing
the same brand repeatedly. Repurchasing can also result from market domination by a company that has succeeded in making its
product the only available alternative.
�Service quality
itself can influence repurchase interest (Tjiptono et al., 2014). Service quality is
a standard for measuring success in providing customer satisfaction. Through
service quality, customers can also provide ratings objectively in order to increase
customer trust and service (Metarini, 2020). According to (Parasuraman, Zeithaml, & Berry, 1985), electronic service
quality (e-service quality) is widely seen as a measure of the extent to which
electronic service providers facilitate efficient, effective purchases and respond with high-quality
services. Service quality is also seen as one of the most important
strategies for success in a competitive environment. The quality of good
electronic media services will foster customer satisfaction with electronic
media, it can also determine the perceived quality of the electronic services
themselves (Fern�ndez-Sabiote & Rom�n, 2012).
Previous research also stated that repurchasing interest can be related to factors
such as price and promotion. The feeling factor also directly influences the
intention to buy products and services (Gao & Chen, 2015). Research conducted by Priadi (2021) confirmed that the important elements in sales are
customers and promotions. Companies must connect with customers as an important
element in promoting their products and services to encourage consumers to take
an interest in repurchasing.
This research is a replication of (Wibawa, 2020) which
examined the effect of promotion, price, and service quality on Shopee online
repurchase interest shopping
using multiple linear regression analysis. The
similarity between this research and is that both examine repurchase interests
that affect promotions, prices, and service quality. The differences between
this research and include 1) the previous sample used the Shopee application
while in this research, the sample used the GrabFood
application and 2) The previous research was taken in 2020 while this research
was taken in 2022.
The rise in demand for online food delivery has not been
spared from advertising and used by payment platform providers (Wulandari & Septiari, 2015). OVO is an online
payment application that collaborates with Grab, which is the leader in online
to offline payments, such as electricity purchases, installment payments, and payments at shops that do not sell food
(Grab.com, 2021). With the promotions and discounts
provided by the company, it is hoped to increase sales on the GrabFood application. For a company to use it effectively, it must pay attention to
good planning in promotional activities and pricing policies so that it can
work well. Of course, this must be adjusted to good service quality and attract
consumers who will later create consumer interest in repurchasing products
offered in the GrabFood application so that they can
also increase the frequency of sales on GrabFood.
Figure 1 Conceptual Framework
The Effect of Promotion on Service
Quality
(Kotler & Keller, 2016) defined
promotion as a marketing activity that stimulates consumer purchases and the
company's service quality. Customers who are not familiar with a product will
minimize or eliminate the possibility of getting quality service as a result of
not using the product/service (between contact personnel and customers). Promotion
is a company activity to improve the quality of its products and services and
persuade consumers to buy (Tjiptono et al., 2014). Good promotion gives an idea to customers that the
company is able to provide good service to customers. Therefore, this research
proposes the following hypothesis:
H1. Promotion has
a positive effect on service quality.
The Effect of
Discount on Service Quality
Research conducted by (Triyanti & Effendi, 2017) also stated that
the feelings created by discounts lead to positive perceptions of product
quality. Research conducted by (Huang, Qiu, Zhu, Lu, & Xiao, 2015) also stated that
discounts can improve service or product quality. (Tung et al., 2021) also stated that price can be used as a tool to assess product or service
quality in such situations. Thus, the hypothesis proposed by the researcher is:
H2. Price discount has a positive
effect on service quality.
The Effect of Service Quality on
Repurchase Interest
The e-service quality also has a positive influence,
directly and indirectly, on repeat purchases (Hanafy & Hegab, 2019). To
increase customer repurchase interest, online service providers must develop
their business by creating a good quality of company website. The service quality variable has a positive and significant effect on
repurchase intention (Syamnarila, 2022). In this case,
the service quality is also considered capable of being a strategy in the
success of today's competitive environment. Therefore, the researcher
formulates the hypothesis as follows:
H3. Service
Quality has a positive effect on Repurchase Intention.
The Effect of Promotion on
Repurchase Intention
In previous research, customer interest can be
related to many factors such as product or service quality, price and promotion
as well as ease of use (Thanatchaphan & Adisorn, 2021). Research conducted
by (Priadi & Utomo, 2021) confirmed that the important elements in sales are customers and
promotions, companies must connect with customers as an important element in
promoting their products and services to encourage consumers to take an
interest in repurchasing. Therefore, this forms the basis of hypothesis 4
namely:
H4. Promotion has
a positive effect on Repurchase Interest.
The Effect of Discounts on
Repurchase Intention
Discount can increase
consumer purchasing power for anything (Tung et al., 2021). Previous research has found that consumers feel less
guilty when buying products with discount framing. Therefore, discount framing
can increase product sales (Triyanti & Effendi, 2017). Research conducted by (Desiyanti, Sudja, & Martini, 2018) also confirmed
that discount had significant effect on buying interest, which was valid. (Kumari & Singh, 2018) showed that
discount prices can increase consumer buying interest. Thus, the hypothesis can
be put forward as follows:
H5. Discount has
positive effect on repurchase intention.
RESEARCH METHOD
This research was conducted on people who had shopped on the Grabfood application and made purchases more than once.
This is done because there are quite a lot of online food ordering applications
in Indonesia, thus; researchers want to know the repurchase interest of using
the Grabfood application. In this research, the research
objects were women and men aged at least 18 years who accessed Grabfood and had made purchases at Grabfood.
There were 250 samples. According to (Hair, Black, Babin, & Anderson, 2013), the
number of samples can be calculated by multiplying the number of indicators by
10. The number of indicators in this study was 15x10 = 150. However, the
researchers rounded up so that the sample was larger to 250. The research
sample was determined as many as 250. This research useded
primary data. Primary data can be referred to as data obtained directly from
respondents.
����� In this research, the model was
analyzed using SEM (Structural Equation Modeling) structural equation modeling
using the AMOS program. The structural equation model is a second
generation multivariate analysis technique that combines factor analysis
and path analysis.
Descriptive Variable Analysis
This analysis shows the recapitulation of data on respondents'
answers to statements from three comprehensive models in explaining interest in
repurchasing at Grabfood. Based on the results of
descriptive data processing, it can be explained the views or perceptions of
respondents in three comprehensive models in explaining repurchase interest at Grabfood. The results of the descriptive testing from the
results of data processing are listed in Table 1.
Table 2 Descriptive Statistics
Variable |
N |
Min |
Max |
Mean |
Std. Deviation |
Promotion X1 |
250 |
1.75 |
5.00 |
4.3210 |
.66254 |
Discount X2 |
250 |
1.00 |
5.00 |
4.3680 |
.78111 |
Repurchase Interest Y |
250 |
2.20 |
5.00 |
4.3544 |
.68278 |
Service Quality Z |
250 |
1.33 |
5.00 |
4.4400 |
.65328 |
Source: Primary processed data, 2022.
In line with Table 2, it can be explained that the
promotion obtained an average value of 4.32, which means it is in the interval of 4.20 to 5.00. Thus, it can be stated that the
majority of respondents or grabfood users who often make purchases with grabFood are due to the high
grabfood promos. The�� discount variable has an average value of
4.36, which means it is in the interval from 4.20 to 5.00. From this, it can be
stated that most of the respondents or grabFood users
who often make purchases with grabFood are due to discounts
at grabFood which is quite high.
Repurchase Interest showed an average
value of 4.35, which means it was in the interval from 4.20 to 5.00. Thus, it
can be said that most respondents or grabFood users
often make purchases because of the high interest in buying at grabFood. The quality of service was included in the
interval from 4.20 to 5.00, namely at 4.40, we can see that most of the
respondents or grabFood users often make purchases
with grabFood due to the good service quality at grabFood.
Structural Equation Model
(SEM) Analysis
Structural Equation Model
(SEM) was used to analyze and prove the
hypothesis. The SEM used AMOS 24.0. The analysis steps are as follow:
The next step is testing the suitability of the model
or goodness of fit. In this research, several criteria were taken
from each type of GOFI, namely Chi Square, Probability and GFI represented absolute fit indices, CFI and
TLI represented incremental fit indices while PGFI and PNFI represented parsimony fit indices.
Table 3 Goodness of Fit Value
Goodness of Fit |
Criteria |
Cut-off value |
Description |
CMIN/DF |
< 2.00 |
1.343 |
Fit |
RMSEA |
|
0.073 |
Fit |
GFI |
|
0.906 |
Fit |
>0.90 |
0.905 |
Fit |
|
TLI |
|
0.939 |
Fit |
NFI |
|
0.919 |
Fit |
Source: Primary data processed, 2022.
Based on Figure 2, it is known that the overall
research model is fit. The CMIN/DF result in this research was 1.343 which was fit. The RMSEA value of the
results of this research was 0.073 which means it identified a good value. The GFI, AGFI,
TLI, and NFI values in this research were equal to or greater than
0.90. The results of the analysis showed that there was goodness of fit between the
research model and the empirical research model. Therefore, model analysis can
be continued by testing the research hypothesis whether it is accepted or rejected.
The further analysis was SEM analysis or
structural equation model where the full model was used to test the
research hypothesis. The following were
the results of the regression weight test in this research as described in Table
4.9.
Table 4 Regression Weight Test Results
Hypothesis |
Estimate |
S.E. |
C.R. |
P |
Description |
||
Promotion |
--> |
Service Quality |
.945 |
.117 |
8.084 |
.000 |
Supported |
Discount |
--> |
Service Quality |
.032 |
.074 |
.440 |
.660 |
Not Supported |
Service Quality |
--> |
Repurchase Interest |
.379 |
.114 |
3.323 |
.000 |
Supported |
Promotion |
--> |
Repurchase Interest |
.525 |
.161 |
3.254 |
.001 |
Supported |
Discount |
--> |
Repurchase Interest |
.055 |
.064 |
.854 |
.393 |
Not Supported |
The results of hypothesis testing can be seen by looking at the
Critical Ratio (CR) value and the probability value (P) of the data processing
results. The direction of the relationship among variables can be seen from the estimated value. If the estimated value is positive, the relationship among the variables is positive,
whereas if the estimated value is negative, the relationship
is negative. Furthermore, if the test results
show CR value above 1.96 and the probability value (P) below 0.05/5%, the relationship
between exogenous and endogenous variables is significant. In detail, testing
the research hypothesis will be discussed in stages according to the hypothesis
that has been proposed. The results of the analysis in Table 4.6 showed
following:
1.
Promotion had significant and positive effect on service quality. These results were evidenced by the positive
estimate value of 0.945, the t-statistic value
above 1.96, which was 8.084, and the
P-Value below 0.05, which was 0.00. Thus, H1 was supported.
2.
Discount did not have significant
effect on Service Quality. These results were evidenced by positive estimate value of 0.032,
t-statistic value below 1.96, namely 0.440 and P-Value above 0.05, namely
0.660. Thus, H2 was not supported.
3.
Service Quality had positive and significant effect on Repurchase
Intention. These results were evidenced by positive
estimate value of 0.379, t-statistic value above 1.96, namely 3.323 and P-Value
below 0.05, namely 0.000. Thus,
H3 was supported.
4.
Promotion had significant and positive effect on Repurchase
Intention. These results were evidenced by positive
estimate value of 0.525, t-statistic value above 1.96, namely 3.254 and P-Value
below 0.05, namely 0.001. Thus, H4 was is supported.
The discount
variable did not have significant effect on repurchase interest. This result
can be seen through the positive estimate value of 0.055 and the t-count value
was below the t-table, namely 1.96 > 0.854 and the p-value was above 0.05.
Thus, the fifth hypothesis was not supported
CONCLUSION
This research aims to see the
effect of e-WOM among customers on customer purchase intention. The results of
this research can be concluded that the result of the first hypothesis (H1)
showed promotion had significant and positive effect on service quality. It
means that the better the promotion contained in the Grabfood
application, the better the quality of Grabfood
services. The second hypothesis showed that discount did not have significant
effect on Service Quality. The second hypothesis (H2) was not supported. It
means that greater discount found on grabFood would
not improve the service quality. The third hypothesis (H3) showed that Service
Quality had positive and significant effect on Repurchase Intention. It means
that every increase in service quality at grabFood
affects customer repurchase intention. The fourth hypothesis (H4) showed that
Promotion had a significant and positive effect on Repurchase Intention. The
fourth hypothesis (H4) in this research was supported. This means that every
increase in promotion carried out by grabFood also
increases repurchasing interest. The fifth hypothesis (H5) stated that Discount
did not have significant effect on Repurchasing Interest. H5 was not supported.
This research proved that there was no positive and significant effect between
discount and repurchasing intention on the grabFood
application. Because the perception of customers considers discount was not too
important but the service quality given and received by them is much more
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Albari (2023)
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