Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-34-46
S. G. Kamolova, K. S. Kim, N. D. Aleksandrov
Existent philosophical literature has been largely focusing on the ethical aspects and controversies of developing and using smart technologies such as AI and big data, whereas human capital and infrastructural environment as pre-existing factors have been covered by AI Ethics in a lesser extent. Most of the current research focuses on technical infrastructural aspects in the implementation of complex «smart projects», while insufficient attention is paid to the role of social capital. In order to widen the focus and to include human capital and infrastructural developments coming along with the increasing role of AI, the paper takes a novel look at philosophical underpinnings of smart cities and discusses the concept of the Russian Naukograd (literally from Russian – City of Science, or Researchers’ city, meaning a city which is developing as a community of scientists and academics) as a historical approach for smart city concept implementation. The authors apply theoretical methods of cognition (analysis, synthesis) as well as the case study approach to the Russian (Soviet) experience in forming research-driven cities in order to highlight the value of high scientific, industrial and educational capital («smart nation») as a fundamental factor for the stable long-term development of modern cities. The findings suggest that some concepts of the Russian Naukograd for example the focus on research and education are valuable and that investment in social capital (i. e., people) should stand on the same footing as investment in technology developing a smart city. In this approach the prefix «smart» may stand for «smart citizens/nations» as a pivotal framework at the initial stages of smart cities development.
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Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-47-60
W. Xiugang, A. Lysochenko
The purpose of the study is to find approaches to identifying factors influencing the construction of supply chains in China’s transport and logistics systems, which is becoming especially relevant in the context of the country’s «new economy» dictated by the active development of digital technologies, e-commerce and changing consumer behavior. Based on a multidimensional analytical review of scientific sources, the classification of internal and external factors affecting supply chain management in China’s transportation and logistics systems is substantiated. The author’s configuration of these factors is proposed, taking into account regional differences, and the structure of the factor field is formed. The result of the research from a scientific point of view was an assessment of the functional effectiveness of supply chain management from the perspective of traditional factors such as natural resources, capital, labor and land, as well as transformational and transactional, including human (skills, qualifications, knowledge), scientific and technological (research, innovation, technology) and material (infrastructure, equipment, materials) factors. The theoretical significance of the study lies in the formation of a configuration of internal and external factors affecting supply chain management in China’s transport and logistics systems, taking into account regional differences. The results of the work include the development of recommendations aimed at optimizing logistics processes, diversifying risks and adapting to changing conditions in the global market.
{"title":"Identification of Factors Influencing the Construction of Supply Chains in China’s Transport and Logistics Systems","authors":"W. Xiugang, A. Lysochenko","doi":"10.26794/2304-022x-2023-13-4-47-60","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-47-60","url":null,"abstract":"The purpose of the study is to find approaches to identifying factors influencing the construction of supply chains in China’s transport and logistics systems, which is becoming especially relevant in the context of the country’s «new economy» dictated by the active development of digital technologies, e-commerce and changing consumer behavior. Based on a multidimensional analytical review of scientific sources, the classification of internal and external factors affecting supply chain management in China’s transportation and logistics systems is substantiated. The author’s configuration of these factors is proposed, taking into account regional differences, and the structure of the factor field is formed. The result of the research from a scientific point of view was an assessment of the functional effectiveness of supply chain management from the perspective of traditional factors such as natural resources, capital, labor and land, as well as transformational and transactional, including human (skills, qualifications, knowledge), scientific and technological (research, innovation, technology) and material (infrastructure, equipment, materials) factors. The theoretical significance of the study lies in the formation of a configuration of internal and external factors affecting supply chain management in China’s transport and logistics systems, taking into account regional differences. The results of the work include the development of recommendations aimed at optimizing logistics processes, diversifying risks and adapting to changing conditions in the global market.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"45 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-34-46
S. G. Kamolova, K. S. Kim, N. D. Aleksandrov
Existent philosophical literature has been largely focusing on the ethical aspects and controversies of developing and using smart technologies such as AI and big data, whereas human capital and infrastructural environment as pre-existing factors have been covered by AI Ethics in a lesser extent. Most of the current research focuses on technical infrastructural aspects in the implementation of complex «smart projects», while insufficient attention is paid to the role of social capital. In order to widen the focus and to include human capital and infrastructural developments coming along with the increasing role of AI, the paper takes a novel look at philosophical underpinnings of smart cities and discusses the concept of the Russian Naukograd (literally from Russian – City of Science, or Researchers’ city, meaning a city which is developing as a community of scientists and academics) as a historical approach for smart city concept implementation. The authors apply theoretical methods of cognition (analysis, synthesis) as well as the case study approach to the Russian (Soviet) experience in forming research-driven cities in order to highlight the value of high scientific, industrial and educational capital («smart nation») as a fundamental factor for the stable long-term development of modern cities. The findings suggest that some concepts of the Russian Naukograd for example the focus on research and education are valuable and that investment in social capital (i. e., people) should stand on the same footing as investment in technology developing a smart city. In this approach the prefix «smart» may stand for «smart citizens/nations» as a pivotal framework at the initial stages of smart cities development.
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