Inês A.M. Gil , Fernando A.F. Ferreira , Neuza C.M.Q.F. Ferreira , Florentin Smarandache , Momtaj Khanam , Tugrul Daim
{"title":"面向企业的人工智能、社会5.0和智慧城市适应举措:一种综合方法","authors":"Inês A.M. Gil , Fernando A.F. Ferreira , Neuza C.M.Q.F. Ferreira , Florentin Smarandache , Momtaj Khanam , Tugrul Daim","doi":"10.1016/j.technovation.2025.103377","DOIUrl":null,"url":null,"abstract":"<div><div>The mass migration of human populations to urban areas has resulted in unprecedented challenges for city services. To address and find solutions for these emerging issues, decision-makers must embrace the smart city and Society 5.0 paradigms, which comprehensively tackle various dimensions of the problem and ensure adaptability to evolving citizen needs. Central to the success of these paradigms is technology, particularly artificial intelligence (AI). AI’s transformative capabilities enable the expansion of services, automation of tasks, efficient operationalization and processing vast amounts of data to address urban challenges, aligning with several sustainable development goals (SDGs) such as sustainable cities and communities (SDG 11). Municipalities require strategic plans that empower them to adapt to the AI, Society 5.0 and smart city paradigms, involving multiple stakeholders, including businesses. This study presents a multi-criteria analysis system designed to support decision-making in this complex context, considering the subjective nature and inherent complexity of the decision problem. The system development involved input from key decision-makers with relevant expertise, utilizing methodologies such as cognitive mapping and the decision-making trial and evaluation laboratory technique applied in a neutrosophic environment to analyze cause-and-effect relationships between factors affecting adaptation initiatives. Based on a constructivist, process-oriented approach, the developed analysis system can assist decision-makers in navigating uncertainty during evaluations of technology integration. This holistic and comprehensive system promotes informed decision-making within the AI, Society 5.0 and smart city contexts, contributing to the achievement of relevant SDGs.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"150 ","pages":"Article 103377"},"PeriodicalIF":10.9000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence, society 5.0 and smart city adaptation initiatives for businesses: An integrated approach\",\"authors\":\"Inês A.M. Gil , Fernando A.F. Ferreira , Neuza C.M.Q.F. Ferreira , Florentin Smarandache , Momtaj Khanam , Tugrul Daim\",\"doi\":\"10.1016/j.technovation.2025.103377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The mass migration of human populations to urban areas has resulted in unprecedented challenges for city services. To address and find solutions for these emerging issues, decision-makers must embrace the smart city and Society 5.0 paradigms, which comprehensively tackle various dimensions of the problem and ensure adaptability to evolving citizen needs. Central to the success of these paradigms is technology, particularly artificial intelligence (AI). AI’s transformative capabilities enable the expansion of services, automation of tasks, efficient operationalization and processing vast amounts of data to address urban challenges, aligning with several sustainable development goals (SDGs) such as sustainable cities and communities (SDG 11). Municipalities require strategic plans that empower them to adapt to the AI, Society 5.0 and smart city paradigms, involving multiple stakeholders, including businesses. This study presents a multi-criteria analysis system designed to support decision-making in this complex context, considering the subjective nature and inherent complexity of the decision problem. The system development involved input from key decision-makers with relevant expertise, utilizing methodologies such as cognitive mapping and the decision-making trial and evaluation laboratory technique applied in a neutrosophic environment to analyze cause-and-effect relationships between factors affecting adaptation initiatives. Based on a constructivist, process-oriented approach, the developed analysis system can assist decision-makers in navigating uncertainty during evaluations of technology integration. This holistic and comprehensive system promotes informed decision-making within the AI, Society 5.0 and smart city contexts, contributing to the achievement of relevant SDGs.</div></div>\",\"PeriodicalId\":49444,\"journal\":{\"name\":\"Technovation\",\"volume\":\"150 \",\"pages\":\"Article 103377\"},\"PeriodicalIF\":10.9000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technovation\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0166497225002093\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technovation","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166497225002093","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Artificial intelligence, society 5.0 and smart city adaptation initiatives for businesses: An integrated approach
The mass migration of human populations to urban areas has resulted in unprecedented challenges for city services. To address and find solutions for these emerging issues, decision-makers must embrace the smart city and Society 5.0 paradigms, which comprehensively tackle various dimensions of the problem and ensure adaptability to evolving citizen needs. Central to the success of these paradigms is technology, particularly artificial intelligence (AI). AI’s transformative capabilities enable the expansion of services, automation of tasks, efficient operationalization and processing vast amounts of data to address urban challenges, aligning with several sustainable development goals (SDGs) such as sustainable cities and communities (SDG 11). Municipalities require strategic plans that empower them to adapt to the AI, Society 5.0 and smart city paradigms, involving multiple stakeholders, including businesses. This study presents a multi-criteria analysis system designed to support decision-making in this complex context, considering the subjective nature and inherent complexity of the decision problem. The system development involved input from key decision-makers with relevant expertise, utilizing methodologies such as cognitive mapping and the decision-making trial and evaluation laboratory technique applied in a neutrosophic environment to analyze cause-and-effect relationships between factors affecting adaptation initiatives. Based on a constructivist, process-oriented approach, the developed analysis system can assist decision-makers in navigating uncertainty during evaluations of technology integration. This holistic and comprehensive system promotes informed decision-making within the AI, Society 5.0 and smart city contexts, contributing to the achievement of relevant SDGs.
期刊介绍:
The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.