A Pattern of Collaborative Networking for Enhancing Sustainability of Smart Cities

Corina M. Rădulescu, Svitlana Slava, Adrian T. Rădulescu, Rita Toader, Diana-Cezara Toader and Grațiela Dana Boca
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Corina M. Rădulescu: Faculty of Sciences, Department of Economics and Physics, Technical University Cluj-Napoca, 76 Victoriei Street, 430122 Baia-Mare, Romania
Svitlana Slava: Faculty of Economics, Economics and Entrepreneurship Department, Uzhhorod National University, 3 Narodna Square, 88000 Uzhhorod, Transcarpathian region, Ukraine
Adrian T. Rădulescu: Faculty of Civil Engineering, Technical University of Cluj-Napoca,72 Observatorului Street, 400641 Cluj-Napoca, Romania
Rita Toader: Faculty of Sciences, Department of Economics and Physics, Technical University Cluj-Napoca, 76 Victoriei Street, 430122 Baia-Mare, Romania
Diana-Cezara Toader: Faculty of Business and Economics (HEC Lausanne), Graduate School, Quartier de Chamberonne, The University of Lausanne, CH-1015 Lausanne, Switzerland
Grațiela Dana Boca: Faculty of Sciences, Department of Economics and Physics, Technical University Cluj-Napoca, 76 Victoriei Street, 430122 Baia-Mare, Romania

Sustainability, 2020, vol. 12, issue 3, 1-23

Abstract: 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.

Keywords: complex adaptive system; collaborative smart city model; groups of competence; knowledge and innovation networking (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:3:p:1042-:d:315278

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