Big data analytics,resource orchestration,and digital sustainability: A case study of smart city development |
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| Institution: | 1. Department of Information Resources Management, Business School, Nankai University, Tianjin, China;2. Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore;3. School of Information Systems and Technology Management, UNSW Australia Business School, Sydney, Australia,;4. School of Information Management & Engineering, Shanghai University of Finance & Economics, Shanghai, China;1. Faculty of Public Administration, University of Ljubljana, Gosarjeva 5, 1000 Ljubljana, Slovenia;2. King''s Business School, King''s College London - Bush House, 30 Aldwych, London WC2B 4BG, United Kingdom;3. Institute for Environmental Design and Engineering, The Bartlett Faculty of The Built Environment, University College London – Central House, 14 Upper Woburn Pl, London WC1H 0NN, United Kingdom |
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| Abstract: | Smart cities are expected to improve the efficiency and effectiveness of urban management, including public services, public security, and environmental protection, and to ultimately achieve Sustainable Development Goal (SDG) 11 for making cities inclusive, safe, resilient, and sustainable. Big data have been identified as a key enabler in the development of smart cities. However, our understanding of how different data sources should be managed and integrated remains limited. By analyzing data applications in the development of a sustainable smart city, this case study identified three phases of development, each requiring a different approach to orchestrating diverse data sources. A framework identifying the phases, data-related issues, data orchestration and its interaction with other resources, focal capabilities, and development approaches is developed. This study benefits both researchers and practitioners by making theoretical contributions and by offering practical insights in the fields of smart cities and big data. |
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