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Knowledge Management in Society 5.0: A Sustainability Perspective. SUSTAINABILITY 2022. [DOI: 10.3390/su14116878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Organizations require the means to navigate Society 5.0. This is a knowledge-intensive society where a sustainable balance must be created for social good through a system that integrates cyberspace and physical space. With significant data, information and insight exchange based on knowledge in people and machines, organizations need to make sense of the notion that knowledge assets are the central structuring elements for sustainable development. By considering the key aspects of knowledge management (KM) in Society 5.0 as they relate to sustainable development, organizations may leverage their KM capability and learning agility to successfully address the unique requirements of the new society, environment and goals for sustainable development. In this research, automated content analysis was applied to identify key KM aspects using the Leximancer software. A total of 252 academic papers were analyzed, identifying 10 themes related to key KM concepts in Society 5.0 as they pertain to sustainability. The KM concepts identified were described and mapped to the sustainability triple bottom line. They comprised three primary and three intersecting dimensions, i.e., the environment (planet), society (people) and economic performance (profit) in the socio-economic, eco-efficiency and socio-environmental domains. The most significant themes included “knowledge”, “human”, “companies”, “information” and “system”. Secondary themes included “innovation”, “development”, “resources”, “social” and “change”.
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Chen M. The influence of big data analysis of intelligent manufacturing under machine learning on start-ups enterprise. ENTERP INF SYST-UK 2019. [DOI: 10.1080/17517575.2019.1694180] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Minxian Chen
- School of Economics and Trade, Henan University of Technology, Henan, China
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Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9204323] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain[...]
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