A master thesis from Aalborg University
Big Data development in the tanker industry - Drivers and Challenges
[Big Data udvikling i tanker industrien - Drivers og Udfordringer]
Author(s)
Term
4. term
Publication year
2021
Submitted on
2021-06-01
Abstract
Den maritime tankindustri st ̊ar over for stigende pres for at opdage nye m ̊ader atreducere miljøp ̊avirkningen p ̊a, samtidig med at øge værdien. Branchen st ̊ar overfor mange udfordringer, hvoraf mange vedrører brancheens unikke aktivstruktur.En analyse af eksisterende literatur er blevet lavet og vist potentiale for forbedretforskning er blevet fundet. Ved at inkorporere best-practices fra tidligere review,samtidig med at tage forbehold for funde mangler, et semi-systematisk literatur erudført og sammenlignes med resultaterne fra interviews med personer i industrien.Der identificeres flere omr ̊ader med misforhold mellem litteraturens opfattede dri-vere og udfordringer og branchens. Fremtidig forskning og potentielle løsninger tilfunde udfordringer foresl ̊as.
The maritime tanker industry faces increasing pressure to discover new ways ofreducing environmental impact, while also increasing value offered. The industryfaces many challenges, most of which relate to the unique asset structure of theindustry. An analysis of existing literature reviews has been conducted and poten-tial for an improved research has been found. By incorporating best practices fromthe previous reviews, as well as taking into account found flaws, a semi-systematicliterature review is conducted and compared the literature findings with findingsfrom interviews with industry stakeholders. Several areas of misalignment betweenindustry’s interest and literature’s practices are outlined. Additionally, literature’sperceived drivers and challenges and those of the industry are identified and com-pared. Potential solutions to the mentioned challenges are suggested, research andindustry focus is proposed.
Documents
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