Anindila Fitria Ghifarini
Bogor Agricultural University, Indonesia
E-mail: anindila.fitria@gmail.com
Ujang Sumarwan
Bogor Agricultural University, Indonesia
E-mail: sumarwan@apps.ipb.ac.id
Mukhamad Najib
Bogor Agricultural University, Indonesia
E-mail: najib@ipb.ac.id
Submission: 23/07/2017
Revision: 06/03/2018
Accept: 31/03/2018
ABSTRACT
Although
the export orientation of shrimp commodities in developing fisheries sector is
very influential and has a great contribution in the country's economic
development, but there are still many obstacles encountered in shrimp exports. Besides,
domestic market can be an alternative choice for shrimp market. Understanding
consumer behavior towards shrimp is very important for producers and government
in order to know how consumers’ intention in shrimp consumption. Therefore, in
this study conducted a consumer behavior analysis of shrimp to determine
intention in shrimp consumption in Indonesia by using The Theory of Planned
Behavior (TPB). This research aimed to analyze the characteristics of shrimp
consumers, to analyze the contribution of attitudes toward behavior, subjective
norms, and behavioral control and formulate market education strategy which can
increase the consumption of shrimp. Descriptively, the results of the
distribution of questionnaires showed that majority of shrimp consumers were
less than 30 years old, with private employment type and housewives. The result
of model Theory of Planned Behavior toward shrimp consumer behavior shows that
there is a significant affects directly to intention which is from Subjective
Norm. The influence of the environment are greatly affects consumers in taking
decisions before making a purchase of shrimp products. The government in its
program or policy has initiated an approach to the domestic consumers of
seafood products in order to create high attention of people to consume fishery
products.
Keywords: Intention, Shrimp, Theory of Planned Behavior
1. INTRODUCTION
Fishery
products is one of the potential products in Indonesia. As an archipelagic
state, the potential of fishery resources has a large contribution to the
country's Gross Domestic Product (GDP). GDP data in 2013 shows that the fishery
sector has the second largest contribution after the crops sector, with
percentages of 22.6% and 47.43% respectively.
The
fishery industry has also contributed as much as 2.87% of the total value of
Indonesia's non-oil and gas exports in 2013. The value of fishery commodity
exports in 2013 reached US $ 4,181,457,000, which is dominated by shrimp
commodities (KKP, 2014).
Although
the export orientation of shrimp commodities in developing fisheries sector is
very influential and has a great contribution in the country's economic
development, but there are still many obstacles encountered in shrimp exports.
There are still many challenges of global competition with other countries.
Besides, domestic market can be an alternative choice for fisheries companies.
The
Successful growth of capture fisheries and cultivation can contribute
significantly to the future for food security and nutrition also the needs of
Indonesia's economic development. During 2015, the results of data acquisition
system of aquaculture in Indonesia obtained that Indonesia is able to produce
623,000 tons of shrimp per year.
In
addition to the availability of abundant products, shrimp market opportunities
can be seen from various aspects. First, the increasing population of
Indonesian society. The population of Indonesia is estimated to have reached
252 million people by now. Secondly, the increase in people's purchasing power.
This
is indicated by an increase in monthly per capita expenditure on fishery
consumption in 2011 amounting to Rp 25,369.00 (BPS, 2011) and in 2014 amounting
to Rp 33,231.00 (BPS, 2014), while expenditure for shrimp consumption per
capita per month in year 2011 amounted to Rp 1,996.00 (BPS, 2011) and in 2014
increased to Rp 2,456.00 (BPS, 2014).
Third,
the government program which proclaimed by the Ministry of Maritime Affairs and
Fisheries is the Movement to Socialize Fishery Products (GEMARIKAN) become
a very promising opportunity. This
program has been conducted by the government since 2004. The existence of the
"Gemarikan" campaign has shown that there is a tendency to shift
people's preference to consume shrimp as a potential fishery commodity.
Based on the above description, it shows that
shrimp is a potential commodity. Understanding consumer behavior towards shrimp
is very important for producers and government in order to help “Gemarikan”
program. Therefore, in this study conducted a consumer behavior analysis of
shrimp to determine interest in shrimp consumption in Indonesia by using The
Theory of Planned Behavior (TPB).
Figure 1: Theory of Planned Behavior (AJZEN, 1991)
Based
on TPB (AJZEN, 1991), the formation of consumer attitudes will form a person
intention to perform or not to perform an action, in this case the purchase of
shrimp. Thus, shrimp purchasing behavior indirectly can be predicted through
behavior intention or intention to buy shrimp. Theory of Planned Behavior (TPB)
has also been used in explaining the behavior of fish consumption especially in
some western countries such as Norway (OLSEN, 2001; HONKANEN et al., 2005),
Belgium (VERBEKE AND VACKIER, 2005), Romania (FOTEA et al., 2012 ), Brazil
(DALTOE et al., 2013), and Croatia (TOMI et al., 2016). It is also done in
North America (LAUBER et al., 2011) and Australia (BIRCH AND LAWLEY, 2010). In
Asia, it is known to have conducted research on fish consumption behavior with
TPB approach that is in Vietnam (TUU et al., 2008; TUU et al., 2010; THOM,
2007; THONG AND OLSEN, 2012). However, it has never been done in Indonesia and
has never been applied to shrimp commodities.
This
research aimed to analyze the characteristics of shrimp consumers, to analyze
the contribution of attitudes toward behavior, subjective norms, and behavioral
control (Figure 1) to the intention to consume shrimp and formulate market
education strategy which can increase the consumption of shrimp.
2. RESEARCH METHOD
This research was conducted from January to February
2016 in Bogor, West Java, Indonesia. The Selection of research location because
in Bogor is one region that has run "Gemarikan" campaign. The data used in this research
are primary data and secondary data. Primary data collection is obtained
directly by distributing questionnaires that are structured offline and online
using non-probability sampling method with purposive sampling. The following
table shows variables and indicators in
this research.
Table 1: Research variables and indicators
Latent Variables |
Aspect |
Indicator
Variables |
Symbol |
Attitude Towards
Behavior |
Behavior beliefs |
Health Distinctive flavor Good taste Nutritional
content |
X1 X2 X3 X4 |
Outcome
evaluation |
The importance of
health The importance of
distinctive flavor The importance of
good taste The importance of
nutritional content |
X5 X6 X7 X8 |
|
Subjective Norms |
Normative Beliefs |
Family Friends/relatives Doctor/nutritionist Goverment |
X9 X10 X11 X12 |
Motivation to Comply |
Family Friends/relatives Doctor/nutritionist Goverment |
X13 X14 X15 X16 |
|
Perceived Behavioural
Control |
Control Beliefs |
Financial issue Availability of
shrimp Health (allergic,
etc) |
X17 X18 X19 |
Power of Control
Factors |
Sufficiency of money Abundant availability Health support |
X20 X21 X22 |
|
Intention |
|
Intention to
consume shrimp once a week Intention to
consume shrimp in restaurant |
Y1 Y2 |
The Sample is collected by using the rule of thumb from Structural
Equation Modeling (SEM). The number of indicator variables in this study are 24
indicator variables, and the number of respondents are 120 respondents.
The independent variables
consist of attitudes toward behavior, subjective norms, and perceived
behavioral control. Meanwhile, the intention to buy shrimp in Bogor is the
dependent variable (Table 1). The four variables are measured through the
statements contained in the questionnaire.
The scaling technique used is
semantic different scale in five variations of the answer. The statistic
analysis used is Partial Least Square (PLS - SEM) with SmartPLS 3.0 software.
The results will find out what attributes that affect public interest on shrimp
consumption.
The SEM Hybrid Model is an
overall model that includes structural models and measurement models. The Model
of Hybrid (Full SEM Model) from this research can be seen in Figure 2.
3. RESULT AND DISCUSSION
3.1.
Profile
Respondent
Various characteristics of respondents such
as demographic, social, economic and consumer characteristics of respondents
have been examined in this study. Studies
show that age and gender influence a person's purchasing decision toward a
product.
Based on the results of data
processing on the characteristics of respondents who consume shrimp, there are
58.3% of respondents which are <30 years old and women seen more in
consuming shrimp, which is as much as 60% when compared with men.
The results showed that the
intention of female respondents greater than men. Therefore, producers can
focus on digging what women love from a food product.
Figure 2: SEM Hybrid Model in the
intention of shrimp consumption
The recommended age is under 30
years. At this age, they currently very intensive to use social media or
sometimes called a millenials generation. The results of research that has been
done by Barton et al (2012) about millenials generation which consists of aged
16-34 years. Millennials love to try something new.
This generation forms the preference
of a trademark or store. Generation millenials make purchases of food based on
the influence of family, friends, or people they just know.
Table 2: Social and economic
characteristics of respondents
Respondent Characteristic |
Category |
Respondent
Frequency |
Relative
Frequency (%) |
Total expenditure for food consumption
per month (Rp) |
< 1.000.000 |
24 |
20.00 |
1.000.000 –
2.000.000 |
58 |
48.33 |
|
2.000.001 –
3.000.000 |
18 |
15.00 |
|
3.000.000
– 4.000.000 |
6 |
5.00 |
|
4.000.001 –
5.000.000 |
7 |
5.83 |
|
>
Rp 5.000.000 |
7 |
5.83 |
|
Total Income per month (Rp) |
< Rp
1.000.000 |
5 |
4.16 |
1.000.000 -
3.000.000 |
35 |
29.16 |
|
3.000.001 -
5.000.000 |
42 |
35.00 |
|
5.000.001 -
10.000.000 |
22 |
18.33 |
|
10.000.000
- 20.000.000 |
12 |
10.00 |
|
>
Rp 20.000.000 |
4 |
3.33 |
Table 2 discuss about the social
and economic characteristics of respondents. From the table can be seen that 42
respondent or represent 35% of all respondents who have monthly income between
Rp 3.000.000 - Rp 5.000.000. If added, as many as 80 respondents from 120
total, have income above Rp 3.000.000 to reach Rp 20.0000.000 per month. This
proves that the level of education and income a person can give a positive
influence on the purchase of shrimp. The high of shrimp’s prices and the high
nutrition in shrimp are tend to make respondents choose to buy shrimp as their
meal menu.
Sumarwan
(2011) states that the level of education is one of the several consumer’s
factors in making decisions to consume or buy a product or brand. A person's
consumption pattern is closely related to the level of income which received
for the allocation of the fulfillment of his or her life's needs. Revenue is
often combined with other demographic variables such as education and
employment.
Table 3 presented the
characteristics of respondent's consumption of
shrimp in Bogor. It can be seen from the frequency of consumption,
66.67% of respondents are uncertain in consuming shrimp. This indicates that
respondents do not plan to consume shrimp, only if they wish. In addition, as
many as 30% of respondents last consumed shrimp is about 1 month ago.
Table 3: Characteristics of
respondent's consumption
Respondent Characteristic |
Category |
Respondent Frequency |
Relative
Frequency (%) |
Frequency of
consumption |
Once a week |
22 |
18.33 |
Twice a week |
8 |
6.66 |
|
3 times a
week |
5 |
4.16 |
|
uncertain |
80 |
66.66 |
|
Others |
5 |
4.16 |
|
Last
consumption of shrimp |
One month ago |
36 |
30.00 |
2 weeks ago |
13 |
10.80 |
|
1 week ago |
30 |
25.00 |
|
1 day ago |
26 |
21.70 |
|
> 1 month ago |
7 |
5.80 |
|
2 - 6 days ago |
5 |
4.20 |
|
|
Others |
3 |
2.50 |
It can be concluded that the
frequency of respondents in consuming shrimp is still low. It can also be
proved from the last time respondents consume shrimp is one week up to one
month ago. The price of shrimp can be a factor in the low level of shrimp
consumption. Shrimps have prices that tend to be higher than any other seafood
products or other types of freshwater fish. The price of 1 Kgs vaname shrimp
reach Rp. 90.000, while the price of 1 kg of mackerel only Rp. 35,000/kgs and
Rp. 45.000/kgs for carp.
The availability of shrimp
products in Bogor City is also an important factor. The city of Bogor is
geographically far from the sea. Often consumers find it difficult to get
seafood products and tend to consume freshwater fish.
3.2.
Respondent
Behaviour
The results showed that 76
respondents consumed the shrimp because it tasted good and 96 respondents liked
to consume shrimp in the form of fresh shrimp (fresh shrimp), then processed
itself according to taste. A total of 73 respondents bought <1 kg of shrimp
in a single purchase. This can be due to the respondents making purchases as
needed.
As many as 78 respondents chose
fried as a favorite processed form in consuming shrimp. The ease of processing
technique remains the respondent's choice. In accordance with the character of
the Indonesian people, respondents like the food in the way with the fried.
A total of 40 respondents took a
decision in the purchase of shrimp that depends on the current situation. While
37 respondents planned to buy shrimp from home. These results indicate that
current decisions depend on current needs and prices, promotions or discounts
increase sales.
3.3.
Theory
of Planned Behaviour
The following table is respondent frequency
of attitudes toward behavior,
subjective norms,
behavior control, and shrimp consumption intention.
Table 4: Frequency of
attitudes toward behavior, subjective norms, behavior control, and shrimp
consumption intention
Indicator Variable |
Respondent Frequency |
||
Disagree |
Normal |
Agree |
|
Behavior Beliefs |
|||
Health |
9 |
34 |
77 |
Distinctive
flavor
|
5 |
24 |
91 |
Good taste |
9 |
39 |
72 |
Nutritional
content |
7 |
34 |
79 |
Outcome Evaluation |
|||
The importance of health |
18 |
49 |
53 |
The importance of distinctive flavor |
11 |
39 |
70 |
The importance of good taste |
7 |
27 |
86 |
The importance of nutritional |
10 |
45 |
65 |
Normative Beliefs |
|||
Family |
29 |
53 |
17 |
Friends/relatives |
29 |
50 |
21 |
Doctor/nutritionist |
37 |
49 |
14 |
Goverment |
23 |
36 |
41 |
Motivation to Comply |
|||
Family |
25 |
50 |
25 |
Friends/relatives |
21 |
51 |
28 |
Doctor/nutritionist |
21 |
51 |
28 |
Goverment |
17 |
37 |
47 |
Control Beliefs |
|||
Financial issue |
12 |
36 |
72 |
Availability of shrimp |
6 |
31 |
83 |
Health
(allergic, etc) |
4 |
20 |
96 |
Power of Control |
|||
Sufficiency
of money |
8 |
36 |
76 |
Abundant availability |
6 |
31 |
83 |
Health support |
7 |
29 |
84 |
Intention to consume shrimp once a
week |
24 |
47 |
49 |
Intention
to consume shrimp in restaurant |
28 |
44 |
48 |
Table
4 explains that as many as 70% of respondents belief that shrimp has a distinctive and a good taste. In addition, Table 4
also shows that family, friends or relatives, as well as nutritionists do not
intervene much to the respondents to consume shrimp. This can be seen from the
average percentage of the three statements. Interestingly, the influence of the
government from
one of the programs that are being encouraged is “Gemarikan” which turned out to get a
positive intention.
Table 5 shows the results of
chi-square test between the characteristics of respondents and intentions of
shrimp consumption.
Table 5: Chi-square test
results between the characteristics of respondents and intentions
Respondent
Characteristic |
Consumption Intensity (%) |
p-value |
|||
Low |
Moderate |
High |
Chi-(square) |
||
Age |
< 30 yo |
13.33 |
24.58 |
20.42 |
0.532tn |
|
31 – 40 yo |
3.33 |
7.08 |
12.92 |
|
|
> 40 yo |
5.00 |
12.92 |
17.50 |
|
Gender |
Male |
11.25 |
17.92 |
10.83 |
0.218tn |
|
Female |
10.42 |
20.00 |
29.58 |
|
Marital Status |
Single |
8.33 |
13.75 |
20.42 |
|
|
Widow/widower |
0.00 |
0.00 |
1.67 |
|
|
Married |
13.33 |
24.17 |
18.33 |
|
Last Education |
College (S1/S2) |
12.92 |
25.42 |
34.17 |
0.862tn |
|
Diploma |
4.58 |
5.00 |
3.75 |
|
|
High School |
4.17 |
7.50 |
2.50 |
|
Type of work |
Housewives |
5.00 |
8.75 |
10.42 |
0.043* |
|
Student |
1.67 |
2.08 |
5.42 |
|
|
Civil Servant |
1.67 |
2.92 |
5.42 |
|
|
Private
employees |
9.17 |
15.83 |
16.67 |
|
|
Unemployed |
0.00 |
0.00 |
0.00 |
|
|
Enterpreneur |
4.17 |
8.33 |
2.50 |
Description: *)
significant correlation at 5% real level, tn) correlation is not significant.
The results can be seen in Table 5, shows that the type of work is the only characteristics of
respondents who have a significant correlation with intention to consume shrimp. The types of work are grouped
into six types. The highest percentage of consumption intensity is in the
profession of respondents as private employees, the second is as a housewives. Each intensity
percentage is 16.67% and 10.42% respectively.
3.4.
Evaluation
of Measurement Model (Outer Model)
According
to Gozali (2012), there are three criteria in using analysis technique with SmartPLS
that is to assess the outer model such as convergent validity, discriminant
validity, and composite reliability. Validity
test can be seen from loading factor value for each indicator. The rule of thumb value of loading factor is 0.6 - 0.7
for exploratory research. However, for the early stage of developing of measurement scale, the
loading factor value of 0.5-0.6 is still considered sufficient (CHIN, 1998). In this phase of research will be
used limit factor of 0.6.
Table 6: Outer Loadings Value
Latent Variables |
Aspect |
Indicator Variables |
Symbol |
Attitude Towards
Behavior |
Behavior beliefs |
Health Distinctive flavor Good taste Nutritional
content |
0.695 0.824 0.803 0.867 |
Outcome
evaluation |
The importance of
health The importance of
distinctive flavor The importance of
good taste The importance of
nutritional content |
0.803 0.890 0.824 0.868 |
|
Subjective Norms |
Normative Beliefs |
Family Friends/relatives Doctor/nutritionist Goverment |
0.845 0.899 0.901 0.788 |
Motivation to Comply |
Family Friends/relatives Doctor/nutritionist Goverment |
0.883 0.927 0.923 0.798 |
|
Perceived Behavioural
Control |
Control Beliefs |
Financial issue Availability of
shrimp Health (allergic,
etc) |
0.836 0.898 0.919 |
Power of Control
Factors |
Sufficiency of money Abundant availability Health support |
0.919 0.919 0.913 |
|
Intention |
|
Intention to
consume shrimp once a week Intention to
consume shrimp in restaurant |
0.928 0.908 |
Based on the results of the analysis (Table 6), all
indicators has loading factor’s value more than 0.6. This indicates that all
indicators can reflect latent variables and no need for dropping process.
3.5.
Average
Variance Extraced (AVE) Composite Reliability, & Discriminant Validity
(Cross Loading)
The next
test for the convergent validity is by looking at the Average Variance
Extracted (AVE) value on the reflective indicator model. The model requirement
has good validity if each latent variable with reflective indicator has AVE value above 0.5.
The results in Table 7 shows
that the AVE value of each latent variable is > 0.5, it means that the PLS
model has a good convergent validity. The results in Table 7 also shows that
all latent variable have good reliability, accurate and consistent. It because
the model are eligible with composite reliability values that is > 0.7 and
it means that the model has good reliability.
Table 7: Average Variance Extraxted (AVE)
Variable |
AVE |
Composite
Reliability |
Attitude Towards Behavior |
0,595 |
0.921 |
Perceived Behavioural Control |
0,766 |
0.951 |
Subjective Norms |
0,651 |
0.937 |
Behaviour beliefs |
0,640 |
0.876 |
Control beliefs |
0,784 |
0.915 |
Power of control |
0,841 |
0.941 |
Intention |
0,843 |
0.915 |
Motivation to Comply |
0,783 |
0.935 |
Normative beliefs |
0,739 |
0.918 |
Outcome evaluation |
0,725 |
0.913 |
Discriminant validity testing is
conducted on the principle that different construct manifest variables should
not be highly correlated (Ghozali 2015). The evaluation performed for
crossloading is that the indicator has a greater loading value of the original
latent construct. Based on the research result, all cross loading value are
already has a greater value in the original construct than the other
constructs.
Based on the explanation of the
measurement model, it is shows that the measurement model in this study has met
all four criteria. This indicates that both models have good model validity and
reliability.
3.6.
Evaluation
of Structural Model (Inner Model)
Evaluation of structural model can be seen from
R square value which
is goodness-fit test model. Table 8 shows R-square
value from this research.
Table 8: R-Square Value
Variable |
R-square |
Behaviour
beliefs |
0.854 |
Control
beliefs |
0.937 |
Control
factor |
0.946 |
Intention |
0.405 |
Motivation
to comply |
0.867 |
Normative
beliefs |
0.845 |
Outcome
evaluation |
0.888 |
Based
on Table 8,
the R-square value of 40.51% for intention means 40.51% of the variables in the
model can explain the intention variables while the remaining 59.41% is
explained by other factors not included in the model. The result of bootstrapping in
Table 8 shows seven paths having significant influence (T-statistic> T-table
1.96 at 5% real level). While the two paths are not significant (T-statistic
<T-table 1.96). The result can be seen on the following table.
Tabel 9: Inner Model Value
Independent Variable |
Dependent Variable |
t-Statistics |
Significant/Not significant |
Attitude Towards
Behavior |
Intention |
1.063 |
Not significant |
Perceived Behavioural
Control |
Intention |
1.416 |
Not significant |
Subjective Norms |
Intention |
2.320 |
Significant |
As seen in table 9 also in Figure 3 below,
subjective norms has a significant effect which directly affects the intention.
In addition, it can be concluded that the acceptable hypothesis is H2
(subjective norms affect the intention to consume shrimp).
Figure 3: Inner Model of Theory of
Planned Behavior
Based
on the results of the analysis, the variables that significantly affects the
intention of shrimp consumption is Subjective Norms. It means that the
influence of social pressure perceived by consumers affect consumer’s intention
to consume shrimp. Social pressures are come from family, friends or relatives,
doctors or nutritionists, and the most important role is the government.
3.7.
Managerial
Implications
By
the results of this research, it shows that subjective norm is the variable
that most influence the intention to consume shrimp. The influence of the
environment are greatly affects consumers in taking decisions before making a
purchase of shrimp products. The government in its program or policy has
initiated an approach to the domestic consumers of seafood products in order to
create high attention. According to Chiras and Reganold (2010), government
regulations may affect consumer behavior in policies such as regulation,
standardization, education and planning.
The
government as the biggest shareholder in educating the public to consume
fishery products, especially shrimp. Based on Gadda et al (2012), states that
government regulations formally affect the pattern of seafood consumption in
Japan. The Japanese government has gone through a long journey to create a
culture of eating fish among Japanese society. Until now, although the pattern
of seafood consumption in Japan exceeds capacity and threatens the world's fish
stocks are getting smaller, the Japanese government continues to promote
seafood as a healthy food.
The
managerial implication that can be done by the government is to issue a
mutually beneficial policy between government, business actors, consumers, and
producers such as establishing National Eating Fish Day every year or month.
The government should also require all stakeholders to participate. Product
innovation can also be an income generating factor in the fishery industry as
well as increasing public intention in consuming fishery products.
In
addition, there should also be a mapping of marketing strategies for shrimp
commodities. A good approach to mapping a marketing strategy is to consist of
7P, which is product, price, place, promotion, people, process, and physical
evidence.
In
terms of products, producers and distributors or young entrepreneurs should be
able to change the paradigm on the market, where fish and shrimp are known as
expensive products, have high cholesterol, have thorns, not practical, and
various other negative views.
The
results from this research showed that respondents prefer fresh shrimp
products. Product intentions can be increased by innovating the products. For
example, freshly spiced shrimp products, so consumers need only a short time to
process the shrimp. Product quality also increases consumer confidence in
fishery products.
High
shrimp prices can be handled by minimizing the gramation of shrimp products.
Innovation of processed products or giving a little added value makes the
producers gain many benefits. In accordance with the results of the study,
respondents used to buy shrimp in the amount of less than 1 kgs. Family packed
size or individually packed size also can be a good innovation.
Beside
social media, a good place for promotion for fishery products is in class A
supermarkets where consumers are obviously had a goal of buying or consuming
healthy products. Consumer in supermarkets class A generally have a good type
of work with a high enough income. Their expenses have been confirmed in SES A
and A + as the price of the goods in the supermarket is above the market price.
Good
promotions also can be held by giving a
free tester to people for trying shrimp.
So that, consumers will pay attention in a good taste and good freshness
shrimp. Manufacturers can also create a recipe book so that consumers can be
creative with their products. Manufacturers can also provide promotional free
trips to where the producer fish obtained, such as to Wakatobi or inland
Indonesia which is still good. This is done as well as educate the consumers
that the products they boght are come from good waters and in good production.
The
government also has other programs such as the cheap fish market. If business
people can capture these moments as well as build their social media so that more
and more people come to the fresh fish market. This will certainly increase the
public's intention to buy shrimp and other fishery products either. The
exhibition of various shrimp and fish preparations will make all visitors feel
proud of the wealth of Indonesia and will be eager to consume them.
Products
that have eco labels will be excellent for A-class market and millenials
generation market. They want good food, in terms of quality and a good
production process. Manufacturers can replace their raw materials with raw
materials derived from unpolluted waters, well-educated fishermen make good and
proper fishing. The cultivators also perform good cultivation activities and
eco friendly. The attractive packaging for today's food consumers is that it has
nutritional information.
Halal food is also becoming a warm
conversation around the world. The country of Indonesia with its diversity but
the majority of the religion of Islam will certainly be a potential market for
fishery products. Production process in accordance with halal product
provisions is the only way that must be done by the manufacturer. Education on
halal products by displaying seafood products and their products will increase
the intention of respondents to consume fishery products.
4. CONCLUSION
The result of model Theory of Planned
Behavior toward shrimp consumer behavior shows that there is a significant
affects directly to intention which is from Subjective Norm. This indicates
that the acceptable hypothesis is H2 where subjective norms affect the
intention to consume shrimp. Descriptively, the results of the distribution of
questionnaires showed that majority of shrimp consumers were less than 30 years
old, with private employment type and housewives.
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