Do Brazilian cities want to become smart or sustainable?

Machado, Celso; Ribeiro, Daielly Melina Nassif Mantovani; Pereira, Raquel da Silva; Bazanini, Roberto

doi:10.1016/j.jclepro.2018.07.072

Cited by 35 publications

(18 citation statements)

References 30 publications

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“…The authors of scientific papers have formulated the following problems: Do cities want to become smart or sustainable? [86,87]; What are the components of smart cities? [84], etc.…”

Section: Energies 2020 13 X For Peer Reviewmentioning

confidence: 99%

Sustainable Development and Industry 4.0: A Bibliometric Analysis Identifying Key Scientific Problems of the Sustainable Industry 4.0

et al. 2020

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The main aim of the manuscript is the identification of key research problems in the field of sustainable development, in the era of implementing the Industry 4.0 concept. The manuscript presents results of the bibliometric analysis in the subject: “Sustainable Industry 4.0”. The bibliometric analysis was realized in three segments: Sustainability, Industry 4.0 and Sustainable Industry 4.0. In the analysis, the following databases were used: Web of Science (WoS), Scopus, Google Scholar. The main purpose of the analysis was to outline the dynamics of publications in the categories: citation, author, country, type document, science field, research area. The review of sources carried out in this way allowed us to identify key research areas and confirm the research thesis adopted in the manuscript. The research thesis: Sustainable Industry 4.0 allows the integration of the Industry 4.0 concept with sustainable development goals. The article is dedicated especially to scientists looking for still unsolved research problems in the implementation of sustainable Industry 4.0. Furthermore, the manuscript could be an inspiration for scientists, stakeholders, practitioners and governments to complete today’s knowledge about the problems of sustainability in Industry 4.0.

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“…The authors of scientific papers have formulated the following problems: Do cities want to become smart or sustainable? [86,87]; What are the components of smart cities? [84], etc.…”

Section: Energies 2020 13 X For Peer Reviewmentioning

confidence: 99%

Sustainable Development and Industry 4.0: A Bibliometric Analysis Identifying Key Scientific Problems of the Sustainable Industry 4.0

et al. 2020

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“…A smart specialisation policy combines the support of entrepreneurs to discover new domains of future opportunities, the promotion of structural changes and non-neutrally designed policy instruments (Foray et al, 2011). In the mid-2000s, the smartness approach began to be applied in the spatial context of urban planning (Gazzola et al, 2019;Machado Junior et al, 2018;Martin et al, 2018). Businesses also benefit in numerous ways from being located in a smart city or region, from the higher use of urban services (Belanche et al, 2016), greater efficiency in their operations, the protection of their investments and a better service for their customers.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Businesses also benefit in numerous ways from being located in a smart city or region, from the higher use of urban services (Belanche et al, 2016), greater efficiency in their operations, the protection of their investments and a better service for their customers. The smartness approach covers innovation-driven growth and digitalisation (Gazzola et al, 2019;Machado Junior et al, 2018;Martin et al, 2018) together with dynamic abilities such as insight, agility, learning, networking, and communication (Capello & Lenzi, 2018;Jucevicius & Juceviciene, 2015;Varga, Sebesty en, Szab o, & Szerb, 2020;Vinod Kumar & Dahiya, 2017). Smartness is achieved through cooperation and networks among companies, institutions and citizens.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Assessment of regions using an index for a location’s attractiveness for business development

Zykienė

Snieška

Bruneckienė

et al. 2020

Economic Research-Ekonomska Istraživanja

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A system of 36 regional-level indicators is selected to create a new index measuring a location's attractiveness for business development (the LA-index), on the criteria of intelligence, networking and infrastructure, sustainability, digitalisation, learning, agility, innovativeness and knowledge. Business establishment is defined by nine indicators. Overall, the research data include 5,170 observations. The methodology presented is suitable for assessing the attractiveness of any region if the necessary data are available. We use correlation analysis and the Granger causality test to analyse the impact of business attractiveness on the establishment of new businesses. The main findings reveal that attractiveness for business development has a positive impact on the establishment of new businesses, but the determinants and time lags of this impact vary depending on the level of economic development of the region. The paper contributes to the regional economic development literature by exploring the concept of a location's attractiveness using the smartness approach, and by discovering the time lags of the impact of this on the establishment of new businesses. The paper provides original empirical evidence, which helps policy makers to develop more accurate strategies and decision-making process based on smartness determinants and delayed effect (impact over time).

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“…As Trencher (2019, p. 117) remarks, in smart-city initiatives it is often the case that "neoliberal economic interests are prevailing at the expense of environmental and social concerns." In essence, as many studies show, smart and sustainable are not necessarily synonymous with each other (Vanolo, 2016;Ahvenniemi et al, 2017;Bibri and Krogstie, 2017;Kaika, 2017;Cugurullo, 2018b;Machado Junior et al, 2018;Martin et al, 2018;Perng et al, 2018;Haarstad and Wathne, 2019;Parks and Rohracher, 2019;Colding et al, 2020).…”

Section: Introduction: Ai Enters the Citymentioning

confidence: 99%

Urban Artificial Intelligence: From Automation to Autonomy in the Smart City

Cugurullo

2020

Front. Sustain. Cities

128

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Technological innovation is constantly reshaping the materiality and mechanics of smart-city initiatives. Recently, innovation in artificial intelligence (AI) in the shape of self-driving cars, robots and city brains, has been pushing the so-called smart city to morph into an autonomous urban creature which is largely unknown. In this emerging strand of smart urbanism, artificially intelligent entities are taking the management of urban services as well as urban governance out of the hands of humans, operating the city in an autonomous manner. This paper explores, in theory and practice, how the development of AI intersects with the development of the city. The contribution of the paper is threefold. First, the paper advances a theoretical framework to understand AI specifically in urban contexts. It develops the concept of urban artificial intelligence, capturing the main manifestations of AI in cities. Second, the paper examines the case of Masdar City, an Emirati urban experiment, to show how the genesis of urban artificial intelligences is part of a long-standing process of technological development and a politico-economic agenda which together are enabling the transition from automation to autonomy. Third, it proposes a research agenda to investigate what the paper terms the autonomous city.

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Do Brazilian cities want to become smart or sustainable?

Cited by 35 publications

References 30 publications

Sustainable Development and Industry 4.0: A Bibliometric Analysis Identifying Key Scientific Problems of the Sustainable Industry 4.0

Sustainable Development and Industry 4.0: A Bibliometric Analysis Identifying Key Scientific Problems of the Sustainable Industry 4.0

Assessment of regions using an index for a location’s attractiveness for business development

Urban Artificial Intelligence: From Automation to Autonomy in the Smart City

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