Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain Challenges

Integrated technology management in building smart ports or intelligent ports is a crucial concern for global sustainable development, especially when human societies are facing increasing risks from climate change, sea-levels rising, and supply chain disruptions. By mapping the knowledge base of 10...

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Main Authors: Han-Teng Liao, Tsung-Ming Lo, Chung-Lien Pan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/11/2/88
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author Han-Teng Liao
Tsung-Ming Lo
Chung-Lien Pan
author_facet Han-Teng Liao
Tsung-Ming Lo
Chung-Lien Pan
author_sort Han-Teng Liao
collection DOAJ
description Integrated technology management in building smart ports or intelligent ports is a crucial concern for global sustainable development, especially when human societies are facing increasing risks from climate change, sea-levels rising, and supply chain disruptions. By mapping the knowledge base of 103 papers on intelligent ports, retrieved in late December 2022 from the Web of Science, this study conducted a roadmapping exercise using knowledge mapping findings, assisted by Bibliometrix, VoSviewer, and customized Python scripts. The three structural (intellectual, social, and conceptual) aspects of knowledge structure reveal the significance of the internet of things (IoT), the fourth industrial revolution (Industry 4.0), digitalization and supply chains, and the need for digital transformation alignment across various stakeholders with Industry 4.0 practices. Furthermore, an even geographical distribution and institutional representation was observed across major continents. The results of the analysis of the conceptual structure demonstrated the existence of several established and emerging clusters of research, namely (1) industry data, IoT, and ICT, (2) industry 4.0, (3) smart airports, (4) automation; and (5) protocol and security. The overall empirical findings revealed the underlying technology and innovation management issues of digital transformation alignment across stakeholders in IoT, Industry 4.0, 5G, Big Data, and AI integrated solutions. In relation to roadmapping, this study proposed a socio-technical transition framework for prototyping ecosystem innovations surrounding smart sustainable ports, focusing on contributing to valuable carbon or greenhouse gas emission data governance, management, and services in global value chains.
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spelling doaj.art-e53542bd1b8c40c7b1740982d86a56ca2023-11-16T23:35:32ZengMDPI AGSystems2079-89542023-02-011128810.3390/systems11020088Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain ChallengesHan-Teng Liao0Tsung-Ming Lo1Chung-Lien Pan2Higher Education Impact Assessment Center, Nanfang College-Guangzhou, Conghua, Guangzhou 510970, ChinaSchool of Electrical and Computer Engineering, Nanfang College-Guangzhou, Conghua, Guangzhou 510970, ChinaHigher Education Impact Assessment Center, Nanfang College-Guangzhou, Conghua, Guangzhou 510970, ChinaIntegrated technology management in building smart ports or intelligent ports is a crucial concern for global sustainable development, especially when human societies are facing increasing risks from climate change, sea-levels rising, and supply chain disruptions. By mapping the knowledge base of 103 papers on intelligent ports, retrieved in late December 2022 from the Web of Science, this study conducted a roadmapping exercise using knowledge mapping findings, assisted by Bibliometrix, VoSviewer, and customized Python scripts. The three structural (intellectual, social, and conceptual) aspects of knowledge structure reveal the significance of the internet of things (IoT), the fourth industrial revolution (Industry 4.0), digitalization and supply chains, and the need for digital transformation alignment across various stakeholders with Industry 4.0 practices. Furthermore, an even geographical distribution and institutional representation was observed across major continents. The results of the analysis of the conceptual structure demonstrated the existence of several established and emerging clusters of research, namely (1) industry data, IoT, and ICT, (2) industry 4.0, (3) smart airports, (4) automation; and (5) protocol and security. The overall empirical findings revealed the underlying technology and innovation management issues of digital transformation alignment across stakeholders in IoT, Industry 4.0, 5G, Big Data, and AI integrated solutions. In relation to roadmapping, this study proposed a socio-technical transition framework for prototyping ecosystem innovations surrounding smart sustainable ports, focusing on contributing to valuable carbon or greenhouse gas emission data governance, management, and services in global value chains.https://www.mdpi.com/2079-8954/11/2/88system innovationssustainable smart portsstrategic foresightintelligent portsglobal value chainsdigital transformation
spellingShingle Han-Teng Liao
Tsung-Ming Lo
Chung-Lien Pan
Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain Challenges
Systems
system innovations
sustainable smart ports
strategic foresight
intelligent ports
global value chains
digital transformation
title Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain Challenges
title_full Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain Challenges
title_fullStr Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain Challenges
title_full_unstemmed Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain Challenges
title_short Knowledge Mapping Analysis of Intelligent Ports: Research Facing Global Value Chain Challenges
title_sort knowledge mapping analysis of intelligent ports research facing global value chain challenges
topic system innovations
sustainable smart ports
strategic foresight
intelligent ports
global value chains
digital transformation
url https://www.mdpi.com/2079-8954/11/2/88
work_keys_str_mv AT hantengliao knowledgemappinganalysisofintelligentportsresearchfacingglobalvaluechainchallenges
AT tsungminglo knowledgemappinganalysisofintelligentportsresearchfacingglobalvaluechainchallenges
AT chunglienpan knowledgemappinganalysisofintelligentportsresearchfacingglobalvaluechainchallenges