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.
澳恪森数智科技服务负责人、数据科学家廖汉腾博士,与从化在地高校的电气与计算机工程学、会计学高级科研人员合作,产出智能港口知识图谱及技术路线图,以面对全球价值链挑战的研究。
澳恪森数智科技服务3 个月的有效交流合作,产出高影响因子及分区高水平索引论文,持续在智能双碳、智能医疗等领域,征求合作互助伙伴。
此文揭示了系统创新在利益相关者的对齐及管理方面的必要性,以面对全球供应链断链风险、港口入口出口数据作为双碳目标管理、全球价值链数据作为地方及行业治理的迫切性、本研究为建立更清晰和可行的智能港口与双碳实现绿色化数字化双化路线图的学科发展做出贡献。
Systems 是社会科学引文索引 Social Science Citation Index, SSCI 收录期刊,根据 Journal Citation Reports(JCR)分区,2020 年影响因子为 Q2 2 区,期刊跨学科评价指标 Journal Citation Indicator(JCI)分区为 Q1 1 区。
此文不但是在智能港口、供应链管理、全球价值链治理首项跨领域重点成果,亦是澳恪森数智科技服务 和 广州南方学院校级研究中心 “高校影响力研究中心” 合作的首篇成果论文,验证数智科技服务对学术创新创业的有效性,可以在有限时间内出具体成果:
"精准识别出数字供应链和电气与计算机工程学交叉且双创应用需求大的主题,"此文通讯作者,电气与计算机工程学院罗聪明副教授感谢澳恪森,"澳恪森能结合个人在台湾多年在电气工程、通信工程、物联网的教学及科研经验,又能和供应链管理及金融科技专家潘仲亷 进行有效交流合作,从投稿再投稿,再到改稿获录稿出版,前后一共花了含过年及寒假的 3 个月的时间。"
罗聪明副教授表示,希望能和澳恪森持续合作,在市、省、乃至国家级的科研及技术创新项目取得成果,为在地的智能港口、数字供应链及供应链金融的新兴应用领域,如智能双碳、智能医疗等找到创学研技术转化成标准、软着、专利等的机会。
此文揭示了系统创新在利益相关者的对齐及管理方面的必要性,以面对全球供应链断链风险、港口入口出口数据作为双碳目标管理、全球价值链数据作为地方及行业治理的迫切性、本研究为建立更清晰和可行的智能港口与双碳实现绿色化数字化双化路线图的学科发展做出贡献。
澳恪森数智科技服务,英文名为 Oxford Roadmapping 牛津路线图,征求合作互助伙伴,包括但不限于如 《Technological Forecasting & Social Change》(TFSC)2023 会议征稿。