Where Are Smart Cities Heading? A Meta-Review and Guidelines for Future Research

Reis, João; Marques, Pedro Alexandre; Marques, Pedro Rocha

doi:10.3390/app12168328

Cited by 27 publications

(15 citation statements)

References 63 publications

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“…At the same time, recent growth in digital technologies is enabling cities to streamline smart services and offering new products [ 78 ]. This argument is also pointed out by some recent studies that have investigated the literature on DT in the context of meta-reviews Reis et al [ 73 ] or meta-synthesis [ 79 ] in smart cities. Therefore, we argue that additional efforts are needed to reduce the knowledge gap between these two concepts (sustainability and smart cities) and DT.…”

Section: Resultsmentioning

confidence: 80%

“…[ 55 ]. These disruptive technologies have been offering unprecedented opportunities to create and develop value-added products and services [ 73 ]. In that regard, we identified that smart cities work as an extensive smart ecosystem, including different value activities and specific business functions and technologies [ 60 ].…”

Section: Resultsmentioning

confidence: 99%

“…In that regard, we identified that smart cities work as an extensive smart ecosystem, including different value activities and specific business functions and technologies [ 60 ]. To stimulate research on smart cities, there have been numerous special issues published by top-tier journals [ 73 , 74 ]. Thus, according to our analysis, smart cities are in increasing development, being a promising research area.…”

Section: Resultsmentioning

confidence: 99%

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Digital transformation: A meta-review and guidelines for future research

Reis

Melão

2023

Heliyon

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Section: Resultsmentioning

confidence: 80%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Digital transformation: A meta-review and guidelines for future research

Reis

Melão

2023

Heliyon

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“…We then coded the phrases into categories and subcategories [52]. That is, we had to find patterns in the codes, identifying the most relevant ideas [53], allowing us to generate a map that gave us an overview of the data. Moreover, we used computer-based qualitative data analysis software (QDAS) NVIVO 12 (https://www.qsrinternational.com, accessed on 27 July 2022).…”

Section: Methodsmentioning

confidence: 99%

Quintuple Helix Innovation Model for the European Union Defense Industry—An Empirical Research

et al. 2022

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The European defense industry is undergoing profound upheavals, and traditional innovation models may no longer be adequate. For this reason, further investigation is needed to know if the triple helix (TH) is suitable for one of the most influential industries in the world. If not suitable, it is necessary to identify which type of n-helices are appropriate. This article follows an embedded case study research strategy that uses several sources of data collection such as interviews with active-duty military personnel, scholars, the defense industry, and interagency professionals. Field notes and official documentation were also collected for corroboration and triangulation purposes. The results showed that the defense industry is increasingly globalized, leaving the national sphere and weakening the action and participation of European Union governments. This research resulted in the design of a quintuple helix innovation model for the defense industry, which was based on a TH combined with technology and the natural environment. We concluded that the traditional TH may not be adequate for the entry of new supranational players and that political contributions are subject to a further response by the European states. Scientific research is also needed, especially in Asian and American countries, which have national defense policies different from those of Europe.

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“…The digital transformation has played a vital role in facilitating the adoption of Digital Twin technology in smart cities, along with other disruptive technologies, such as IoT, cloud computing, big data, cyber-physical systems, and AI [40]. By leveraging these technologies, smart cities can enhance their capacity to offer optimized services and products that address various societal challenges while prioritizing sustainability and intelligence [41,42].…”

mentioning

confidence: 99%

Digital Twin for Fault Detection and Diagnosis of Building Operations: A Systematic Review

Hodavand,

Ramaji,

Sadeghi

2023

Buildings

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Intelligence in Industry 4.0 has led to the development of smart buildings with various control systems for data collection, efficient optimization, and fault detection and diagnosis (FDD). However, buildings, especially with regard to heating, ventilation, and air conditioning (HVAC) systems, are responsible for significant global energy consumption. Digital Twin (DT) technology offers a sustainable solution for facility management. This study comprehensively reviews DT performance evaluation in building life cycle and predictive maintenance. 200 relevant papers were selected using a systematic methodology from Scopus, Web of Science, and Google Scholar, and various FDD methods were reviewed to identify their advantages and limitations. In conclusion, data-driven methods are gaining popularity due to their ability to handle large amounts of data and improve accuracy, flexibility, and adaptability. Unsupervised and semi-supervised learning as data-driven methods are important for FDD in building operations, such as with HVAC systems, as they can handle unlabeled data and identify complex patterns and anomalies. Future studies should focus on developing interpretable models to understand how the models made their predictions. Hybrid methods that combine different approaches show promise as reliable methods for further research. Additionally, deep learning methods can analyze large and complex datasets, indicating a promising area for further investigation.

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Where Are Smart Cities Heading? A Meta-Review and Guidelines for Future Research

Cited by 27 publications

References 63 publications

Digital transformation: A meta-review and guidelines for future research

Digital transformation: A meta-review and guidelines for future research

Quintuple Helix Innovation Model for the European Union Defense Industry—An Empirical Research

Digital Twin for Fault Detection and Diagnosis of Building Operations: A Systematic Review

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