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Ports Digitalization Level Evaluation.
Paulauskas, Vytautas; Filina-Dawidowicz, Ludmila; Paulauskas, Donatas.
Afiliación
  • Paulauskas V; Klaipeda Shipping Research Centre, Marine Engineering Department, Klaipeda University, V. Berbomo Str. 7-5, LT-92219 Klaipeda, Lithuania.
  • Filina-Dawidowicz L; Faculty of Maritime Technology and Transport, West Pomeranian University of Technology, Szczecin, Ave. Piastów 41, 71-065 Szczecin, Poland.
  • Paulauskas D; Marine Engineering Department, Klaipeda University, H. Manto g. 84, LT-92294 Klaipeda, Lithuania.
Sensors (Basel) ; 21(18)2021 Sep 13.
Article en En | MEDLINE | ID: mdl-34577341
Currently, seaports are actively searching for methods and ways to improve their operational efficiency. Digitalization is considered as one of the main directions of current ports' development. Ports' digitalization levels are varied and may depend on different factors, including port size, traditions, turnover and handled cargo type, etc. Ports often face decision-making challenges related to assessment of their digitization level and choice of development directions. The article aims to develop a methodology to evaluate ports' digitalization level. A marketing research tool was used to collect the data needed for the analysis. A mathematical model allowing simulations is proposed and a case study of 30 ports located in the Baltic, North and Mediterranean Seas regions is explored. Based on conducted calculations, a ranking of analysed ports considering their digitalization level was created. The ports were compared within groups of small, medium-sized and large ports. It was estimated that the digitalization level in small and medium-sized ports is about 30% lower than the level of large seaports. The research results may be of interest to seaports striving to assess their level of digitalization and choose the best digital improvement solutions.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Computadores / Eficiencia Organizacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Lituania

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Computadores / Eficiencia Organizacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Lituania