Mapping the Knowledge Domain of Smart City Development to Urban Sustainability: A Scientometric Study

Purpose This paper aims to discover why such a public partnership project had been successful with a non-profit third-party alliance such as a smart city consortium (SCC) promoting smart city development. Design/methodology/approach This descriptive case study is primarily based on analysing data collected from various texts, public statements, media interviews and three semi-structured interviews with key members involved in the Covid-19 dashboard project. Findings The data and analysis reviews that both interpersonal and interorganisational trust, dedication and proactiveness of the leaders at SCC were major contributing factors to why SCC was able to partner with the Hong Kong Government in the Covid-19 dashboard in the first place and that the success was also a direct outcome of effective mass collaborative knowledge management activities. Research limitations/implications The research in leadership attributes and activities in the non-profit alliance has been few and this collaborative partnership between the alliance and the government is an example of the importance of further research in smart city leadership. Practical implications In deploying projects for mass collaboration and knowledge sharing in smart city development (which is multi-disciplinary in nature). there are still many new and evolving organisational practices and leadership matters that many business leaders and city managers can learn from. Social implications Smart city development projects involve the notion of sharing data in an open environment enabled by software and mediating tools. Successful projects such as this Hong Kong Covid-19 dashboard which serves a diverse audience can further promote the importance of an open data policy regime for the benefit of the public. Originality/value This case study covers a highly original and unique case study with the leaders at the SCC and representatives from the Hong Kong Government.

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Towards a City's Systems Integration Model for Smart City Development: A Conceptualization

2015 International Conference on Computational Science and Computational Intelligence (CSCI) ◽

10.1109/csci.2015.10 ◽

2015 ◽

Cited By ~ 4

Author(s):

Vahid Javidroozi ◽

Hanifa Shah ◽

Adrian Cole ◽

Ardavan Amini

Keyword(s):

Smart City ◽

Systems Integration ◽

City Development ◽

Integration Model

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Deep Learning-Based Decision-Making with WoT for Smart City Development

Smart Innovation of Web of Things ◽

10.1201/9780429298462-3 ◽

2020 ◽

pp. 51-62

Author(s):

S. Vimal ◽

V. Jeyabalaraja ◽

P. Subbulakshmi ◽

A. Suresh ◽

M. Kaliappan ◽

...

Keyword(s):

Decision Making ◽

Deep Learning ◽

Smart City ◽

City Development

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Perancangan Kawasan Perkotaan Di Pulau Bali Sebagai Konektivitas Industri Pariwisata Yang Terintegrasi Pada Sistem ‘’Smart City Development’’

Jurnal Ilmiah Vastuwidya ◽

10.47532/jiv.v2i1.80 ◽

2020 ◽

Vol 2 (1) ◽

pp. 93-97

Author(s):

I Made Agus Mahendra

Keyword(s):

Smart City ◽

Urban Areas ◽

Spatial Vision ◽

Development Planning ◽

Tourism Industry ◽

City Development ◽

City Region ◽

Environmental Goals ◽

Almost All ◽

The City

City Development Planning can be described as a decision-making process to realize economic, social, cultural and environmental goals through the development of a spatial vision, strategies and plans, and the application of a set of policy principles, tools, institutional participatory mechanisms, and regulatory procedures. Connectivity between cities is needed for a Bali island which is the best tourism destination in Indonesia. Good connectivity between cities can contribute greatly to tourism destinations in each city / region. In the future it will be a great work if the development of urban areas on the island of Bali is the integrated tourism industry path connectivity in the Smart City Development system. Smart city is a dream of almost all countries in the world both in the provincial and urban spheres. With Smart City, various kinds of data and information located in every corner of the city can be collected through sensors installed in every corner of the city, analyzed with smart applications, then presented according to user needs through applications that can be accessed by various types of gadgets. Through the gadget, users can also interactively become data sources, they send information to data centers for consumption by other users.

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