Information Technology for Business Sustainability: A Literature Review with Automated Content Analysis

Digitalization in Maritime Transport and Seaports: Bibliometric, Content and Thematic Analysis

In this paper, a bibliometric, content and thematic analysis of digitalization in maritime transport and seaports was performed. The research was primarily motivated by the scarcity of similar works offering a comprehensive and recent literature analysis, the advancements of the maritime digitalization itself, and its influence on all related processes. The initial investigation phase considered 8178 publications, leading through the research steps to the final inclusion of 280 papers, the thematic and content analysis of which were performed using various bibliometric tools. The research encompassed various criteria, ranging through databases, keywords, topics, research areas and others. The resulting concept map emphasized the main concepts that digitalization in maritime transport relies on, or strives towards. The aim of the study was to address the fundamental research questions, with the tendency to define the main key points in the current maritime transport and seaport digitalization process. It can be concluded that an increasing number of authors recognize the importance of new digital technologies in maritime transport and seaports. However, with new digital technologies come specific risks such as spoofing or data manipulation that need to be further analyzed.

Fog-Computing-Based Cyber–Physical System for Secure Food Traceability through the Twofish Algorithm

The Internet is an essential part of daily life with the expansion of businesses for maximizing profits. This technology has intensely altered the traditional shopping style in online shopping. Convenience, quick price comparison, saving traveling time, and avoiding crowds are the reasons behind the abrupt adoption of online shopping. However, in many situations, the product provided does not meet the quality, which is the primary concern of every customer. To ensure quality product provision, the whole food supply chain should be examined and managed properly. In food traceability systems, sensors are used to gather product information, which is forwarded to fog computing. However, the product information forwarded by the sensors may not be similar, as it can be modified by intruders/hackers. Moreover, consumers are interested in the product location, as well as its status, i.e., manufacturing date, expiry date, etc. Therefore, in this paper, data and account security techniques were introduced to efficiently secure product information through the Twofish algorithm and dual attestation for account verification. To improve the overall working, the proposed mechanism integrates fog computing with novel modules to efficiently monitor the product, along with increasing the efficiency of the whole working process. To validate the performance of the proposed system, a comparative simulation was performed with existing approaches in which Twofish showed notably better results in terms of encryption time, computational cost, and the identification of modification attacks.