Big Data Management in Maritime Transport

As maritime transport produces a large amount of data from various sources and in different formats, authors have analysed current applications of Big Data by researching global applications and experiences and by studying journal and conference articles. Big Data innovations in maritime transport (both cargo and passenger) are demonstrated, mainly in the fields of seaport operations, weather routing, monitoring/tracking and security. After the analysis, the authors have concluded that Big Data analyses can provide deep understanding of causalities and correlations in maritime transport, thus improving decision making. However, there exist major challenges of an efficient data collection and processing in maritime transport, such as technology challenges, challenges due to competitive conditions etc. Finally, the authors provide a future perspective of Big Data usage in maritime transport.

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Disruptive Innovations in Electronic Transportation Management Systems

33rd Bled eConference – Enabling Technology for a Sustainable Society: June 28 – 29, 2020, Online Conference Proceedings ◽

10.18690/978-961-286-362-3.1 ◽

2020 ◽

Author(s):

Marija Jović ◽

Edvard Tijan ◽

Saša Aksentijević ◽

Dražen Žgaljić

Keyword(s):

Big Data ◽

Success Factors ◽

Theoretical Background ◽

Management Systems ◽

Future Perspective ◽

Maritime Transport ◽

Transportation Management ◽

Disruptive Technologies ◽

Disruptive Innovations ◽

The Impact

This paper provides an overview of selected disruptive innovations (Blockchain, Internet of Things and Big Data) in electronic transportation management systems in general, and their possible impact in maritime transport. The theoretical background is provided, including transportation, electronic transportation management systems and selected disruptive technologies. The impact, major challenges and success factors in implementing disruptive innovations in maritime transport are pointed out and elaborated. Finally, authors provide the discussion and the future perspective of selected disruptive innovations, with an emphasis on maritime transport.

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Big data for small businesses: Abstracting security and decision-making tools

10.29007/6tpw ◽

2019 ◽

Author(s):

Sara Salih ◽

Kennedy Njenga

Keyword(s):

Decision Making ◽

Big Data ◽

Information Security ◽

Small Businesses ◽

Theoretical Underpinning ◽

Substantive Theory ◽

Business Decision ◽

Data Usage ◽

The Relationship ◽

Financial Consideration

The study delineates the understanding of big data as an emergent phenomenon that has brought a notable shift in the relationship between technology and business decision- making. Using grounded theory techniques, the study espouses opportunities and alternative perceptions from small businesses regarding the value that big data may offer in contrast to usage experience by big businesses. Information security lies at the heart of these consideration. The study draws on concepts and tenets from the discipline of information security to support a theoretical underpinning for big data usage in small businesses. A substantive theory has been developed from this work with three distinct concepts emerging that show that financial consideration, management mindset and size consideration play a big part in influencing small business perceptions.

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