TY - JOUR
T1 - Effect of concession model and deregulation logistics policy for increasing port customer satisfaction in Indonesia
AU - Sirajuddin,
AU - Sunaryo,
AU - Zagloel, T. Yuri
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2018.
PY - 2018/9/21
Y1 - 2018/9/21
N2 - This paper analyzes the effect of port concession and the deregulation of logistics policy implementation on port customer satisfaction. This research uses 5 latent variables and 18 manifest / indicator variables which are described in the form of Likert scale questionnaires distributed to Port Customers in Indonesia which are freight forwarder, import-export companies and port operators. From SEM structural equations and model measurement results, it can be concluded that the effect of concession and deregulation logistics policy on the overall customer satisfaction is acceptable and data support the model. Port concession variable has positive path coefficient of 0.88 and t statistic of 5.86 > 1.96. Infrastructure and Superstructure Variable has positive path coefficient of 0.61 and t statistic of 3.66 > 1.96 deregulation logistics policy Variable has positive path coefficient of 0.24 with t statistic of 2.04 > 1.96. Integration System Technology Variable has positive path coefficient of 0.21 with t statistic of 2.39 > 1.96 so it can be concluded that the overall hypothesis can be accepted and data supports the model.
AB - This paper analyzes the effect of port concession and the deregulation of logistics policy implementation on port customer satisfaction. This research uses 5 latent variables and 18 manifest / indicator variables which are described in the form of Likert scale questionnaires distributed to Port Customers in Indonesia which are freight forwarder, import-export companies and port operators. From SEM structural equations and model measurement results, it can be concluded that the effect of concession and deregulation logistics policy on the overall customer satisfaction is acceptable and data support the model. Port concession variable has positive path coefficient of 0.88 and t statistic of 5.86 > 1.96. Infrastructure and Superstructure Variable has positive path coefficient of 0.61 and t statistic of 3.66 > 1.96 deregulation logistics policy Variable has positive path coefficient of 0.24 with t statistic of 2.04 > 1.96. Integration System Technology Variable has positive path coefficient of 0.21 with t statistic of 2.39 > 1.96 so it can be concluded that the overall hypothesis can be accepted and data supports the model.
UR - http://www.scopus.com/inward/record.url?scp=85054330979&partnerID=8YFLogxK
U2 - 10.1051/matecconf/201820406008
DO - 10.1051/matecconf/201820406008
M3 - Conference article
AN - SCOPUS:85054330979
SN - 2261-236X
VL - 204
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 06008
T2 - 2018 International Mechanical and Industrial Engineering Conference, IMIEC 2018
Y2 - 30 August 2018 through 31 August 2018
ER -