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A Pattern of Collaborative Networking for Enhancing Sustainability of Smart Cities

doi: 10.3390/su12031042
This paper represents a research response to the current vision on transformations regarding the capacity building of smart cities focused towards sustainability, by addressing the knowledge based urban development and collaborative tools that support the development, dissemination, and use of knowledge. The purpose of this paper is to develop a collaborative pattern of knowledge networking, focusing on sustainability goals within a smart city concept, using the logic of the Complex Adaptive System (CAS). The study was carried out in an innovation cluster in Romania; the Social Network Analysis (SNA) was used as a tool to perform the study. The results of this analysis, due to the suggested networking, have led to delimitation of the roles that Groups of Competences play to enhance the sustainability of smart cities in areas where the use of knowledge has the greatest impact. Results show that the success of the smart solutions’ implementation depends on how the social and competence structures of the network are shaped and whether it permanently adapts to fit the sustainability objectives in the considered areas.
- Technical University of Cluj-Napoca Romania
- Uzhhorod National University Ukraine
- University of Lausanne Switzerland
- Uzhhorod National University Ukraine
Environmental effects of industries and plants, TJ807-830, TD194-195, knowledge and innovation networking, Renewable energy sources, Environmental sciences, complex adaptive system, groups of competence, GE1-350, collaborative smart city model
Environmental effects of industries and plants, TJ807-830, TD194-195, knowledge and innovation networking, Renewable energy sources, Environmental sciences, complex adaptive system, groups of competence, GE1-350, collaborative smart city model
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
