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Tantangan Sosial dan Pertumbuhan Transportasi Darat Serta kebijakan pemerintah atas Transportasi Darat berbasis Aplikasi Online
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Increasing mobility of human activities requires transportation modes to be more reliable.
The technology offered by online transportation service providers is a new technology in
the transportation service industry which can grow rapidly. The technology offered also
changes the way consumers use transportation services. This phenomenon also has a
major impact on the transportation industry and requires the government to immediately
improve regulations on transportation services. Along with consumer behavior that is
increasingly digital and more dependent on the internet for daily activities such as
information retrieval, shopping, and business transactions, making business both local and
foreign begin to present online application-based transportation. The purpose of this study
is to analyze and determine the social challenges of transportation and the drivers’ growth
in online application-based transportation in Indonesia and their influence on government
policy. The population was all application users based on online transportation, and
obtained as many as 240 respondents gave responses to the questionnaire. Data were
collected by interviews, questionnaires and documentation studies, variables studied using
a Likert scale. The questionnaire was first tested using validity and reliability testing,
analyzed by SEM analysis. The results found in the hypothesis testing of this study are:
simultaneously, the social challenges of transportation and the growth of online
application-based transportation have a positive and significant influence on government
policy. Partially, the online application-based transportation challenge variables in
Indonesia have a significant influence on government policy variables, so that they have a
positive and significant influence. Partially, the online application-based transportation
growth variable has a significant influence on government policy variables, so it has a
positive and significant influence. Based on the 11 Goodness of Fit (GOF) criteria models
above, the research model has a fairly good model. This means that the measurement
model obtained from the data is in accordance with the research hypothesis. This is
because of the 11 criteria, there are 8 criteria that have been fulfilled.
2407-635X
NONE
Vol. 5 No. 2 Januari 2019
electronic file
Indonesia
ITL Trisakti
2019
Jakarta
Jurnal Manajemen Bisnis Transportasi dan Logistik
Vol. 5 No. 2 Januari 2019
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