Effect of Social Media Marketing on
Visit Intention and Willingness to Pay Premium Price for Ecotourism
I Gede Darma Sadu1, Kevin Reagan Tan2, Nadya
Permata Setiawan3, Evelyn Hendriana4
Bina
Nusantara University, Jakarta, Indonesia
Email: [email protected]1, [email protected]2,� [email protected]3, [email protected]4
Abstract |
Demand for ecotourism is increasing due to higher awareness of environmental damage and the hype in social media. To minimize over-tourism, the government is considering charging higher prices for ecotourism destinations that may cause a decline in the number of visitors. While the Theory of Planned Behavior (TPB) has been frequently used to explain tourists� visit intention, it has not integrated the perceived social media marketing as the determinant of its antecedents and looked at the subsequent impact of visit intention, such as willingness to pay premium price. This study aims to examine the effect of perceived social media marketing on visit intention and willingness to pay premium price by using TPB as its theoretical basis and Komodo National Park as a study context. Data from 265 millennial and Generation Z tourists were tested using PLS-SEM that showed significant effects of perceived social media marketing on attitude toward the destination, subjective norms, and destination image, which together with perceived behavioral control subsequently affected visit intention. Finally, visit intention stimulates tourists� willingness to pay a premium price to visit the destination. |
Keywords: |
destination image, ecotourism, social media marketing, theory of
planned behavior, visit intention, willingness to
pay premium |
Sustainable tourism has slowly gained its strength since it
offers a middle line between protecting environmental assets, capital growth,
and development
Although sustainable tourism has slowly gained awareness,
studies on sustainable tourism are limited and commonly focus on green hotels
This study focuses on
middle and upper-class tourists as ecotourism tends to be pricier than
conventional tourism. Targeting young tourists, particularly Millennials and
Gen Z, was essential due to their higher education levels and increased concern
for sustainability
Data collection
utilized an online closed-ended questionnaire distributed via Google Forms. Perceived
social media marketing covers entertainment, customization, interaction,
e-WOM, and trendiness, adapted from
RESULTS AND DISCUSSIONS
Data collection was gathered
from 285 respondents. The majority were millennials (63.9%), well-educated with
a minimum degree of diploma (93%), with average monthly spending of less than IDR
5 million (76.5%). Respondents were going on vacation at least once every year (95.4%).
As shown in Table 1, all items met the minimum factor loading requirement of
0.7 and AVE ranging between 0.569 and 0.727, stating that the correspondences
were valid. The construct reliability requirements were also fulfilled, with
composite reliability between 0.757 and 0.913. Discriminant validity was tested
based on HTMT ratios below 0.85 as per Table 2, which satisfied the
requirements.
Table 1.
Convergent Validity and Reliability
|
|
Convergent Validity |
Reliability |
||
Variable |
Number of Items |
Factor Loading |
AVE |
Composite Reliability |
Cronbach�s Alpha |
Perceived
Social Media Marketing (PSMM): |
|
|
|
|
|
-Entertainment |
4 |
0.793 � 0.819 |
0.646 |
0.879 |
0.817 |
-Customization |
5 |
0.761 � 0.792 |
0.607 |
0.885 |
0.838 |
-Interaction |
4 |
0.772 � 0.809 |
0.636 |
0.875 |
0.809 |
-e-WOM |
3 |
0.851 � 0.858 |
0.717 |
0.884 |
0.803 |
-Trendiness |
3 |
0.845 � 0.866 |
0.727 |
0.889 |
0.812 |
Destination
Image (DI): |
|
|
|
|
|
-Natural
Characteristics |
4 |
0.811 � 0.871 |
0.715 |
0.909 |
0.867 |
-Tourist
Attraction |
4 |
0.821 � 0.842 |
0.695 |
0.901 |
0.854 |
-Social
Environment |
4 |
0.833 � 0.863 |
0.724 |
0.913 |
0.873 |
Subjective
Norms (SN) |
4 |
0.719 � 0.831 |
0.595 |
0.778 |
0.772 |
Perceived
Behavioral Control (PBC) |
4 |
0.718 � 0.808 |
0.599 |
0.786 |
0.778 |
Attitude
(AT) |
5 |
0.732 � 0.801 |
0.608 |
0.840 |
0.839 |
Visit
Intention (IT) |
4 |
0.733 � 0.783 |
0.569 |
0.757 |
0.750 |
Willingness
to Pay Premium Price (WTP) |
5 |
0.725 � 0.806 |
0.593 |
0.838 |
0.830 |
Table 2. Discriminant Validity
|
|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
1 |
AT |
0.319 |
|
|
|
|
|
|
2 |
DI |
0.559 |
0.439 |
|
|
|
|
|
3 |
IT |
0.389 |
0.281 |
0.599 |
|
|
|
|
4 |
PBC |
0.395 |
0.326 |
0.490 |
0.372 |
|
|
|
5 |
PSMM |
0.452 |
0.190 |
0.625 |
0.541 |
0.464 |
|
|
6 |
SN |
0.323 |
0.203 |
0.492 |
0.483 |
0.294 |
|
|
7 |
WTP |
0.319 |
0.439 |
0.599 |
0.372 |
0.464 |
0.477 |
|
As shown in Table 3, visit intention significantly affected WTP premium price (β = 0.405, p<0.001) with coefficient of determination of 16.4%. Visit intention could be explained by all antecedents by 41.4%, where subjective norms gave the strongest effect (β = 0.274, p<0.001), followed by perceived behavioral control (β = 0.227, p<0.001), attitude (β = 0.216, p=0.002), and destination image (β = 0.214, p<0.001). Attitude was significantly influenced by perceived social media marketing (β = 0.295, p<0.001) and destination image (β = 0.192, p=0.007). Perceived social media marketing also affected destination image (β = 0.312, p<0.001) and subjective norms (β = 0.402, p<0.001).
Table 3. Hypothesis Testing
|
Hypothesis |
β |
S.E |
t-value |
p-value |
f2 |
H1 |
IT � WTP |
0.405 |
0.074 |
5.504 |
0.000 |
0.197 |
H2 |
AT � IT |
0.216 |
0.074 |
2.933 |
0.002 |
0.063 |
H3 |
SN� � IT |
0.274 |
0.068 |
4.051 |
0.000 |
0.097 |
H4 |
PBC � IT |
0.227 |
0.059 |
3.813 |
0.000 |
0.067 |
H5 |
DI � AT |
0.192 |
0.079 |
2.439 |
0.007 |
0.040 |
H6 |
DI � IT |
0.214 |
0.061 |
3.494 |
0.000 |
0.069 |
H7 |
PSMM � DI |
0.312 |
0.072 |
4.323 |
0.000 |
0.108 |
H8 |
PSMM � AT |
0.295 |
0.078 |
3.770 |
0.000 |
0.093 |
H9 |
PSMM � SN |
0.402 |
0.070 |
5.778 |
0.000 |
0.193 |
Discussions
This research has examined and
concluded that the effectiveness of social media marketing towards intention
and willingness to pay a premium price for ecotourism by expanding the TPB is
effective and positive influencing. The effects of perceived social media
marketing on subjective norms, attitudes, and destination images are
significant, supporting the findings of Wang et al.
The positive effect of the
destination image on attitude and intention is evident in this study using the
ecotourism context. Even though the effect is relatively less significant
compared to the others, it is in line with Pereira et al.
CONCLUSIONS
This study validates TPB to explain visit intention to
ecotourism destinations, with subjective norms as the most influential factors,
followed by perceived behavioral control and
attitudes toward the destinations. It also confirms the effect of visit
intention on WTP premium price. The integration of perceived social media
marketing into TPB is supported, where perceived social media marketing affects
the attitudes toward the destination and subjective norms. This study focuses
on domestic tourists only, while the influential factors to visit
intention and WTP premium price may differ between domestic and international tourists.
Future studies may consider examining the model on international tourists.
Despite this study confirming the significance of perceived social media
marketing, destination image, and antecedents of TPB in stimulating visit
intention to ecotourism destinations, their effects range from low to moderate. Further studies can incorporate the
norm activation model (NAM) into the research model.
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Copyright holder: I Gede
Darma Sadu, Kevin Reagan Tan, Nadya Permata Setiawan, Evelyn Hendriana (2024) |
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