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The purpose of this study is to forecast the development performance of important economies in a smart city using mixed-frequency data.

This study introduces reverse unrestricted mixed-data sampling (RUMIDAS) to support vector regression (SVR) to develop a novel RUMIDAS-SVR model. The RUMIDAS-SVR model was estimated using a quadratic programming problem. The authors then use the novel RUMIDAS-SVR model to forecast the development performance of all high-tech listed companies, an important sector of the economy reflecting the potential and dynamism of urban economic development in Shanghai using the mixed-frequency consumer price index (CPI) producer price index (PPI), and consumer confidence index (CCI) as predictors.

The empirical results show that the established RUMIDAS-SVR is superior to the competing models with regard to mean absolute error (MAE) and root-mean-squared error (RMSE) and multi-source macroeconomic predictors contribute to the development performance forecast of important economies.

Smart city policy makers should create a favourable macroeconomic environment, such as controlling inflation or stabilising prices for companies within the city, and companies within the important city economic sectors should take initiative to shoulder their responsibility to support the construction of the smart city.

This study contributes to smart city monitoring by proposing and developing a new model, RUMIDAS-SVR, to help the construction of smart cities. It also empirically provides strategic insights for smart city stakeholders.

Smart cities boost economic growth around the world by changing to the smart environment, smart economy, smart technologies, smart human capital, smart infrastructure, and smart governance to improve economic growth and better use of limited resources. We justify the development model of the “smart city” concept in Russia within a green economy approach and the managerial relations of innovative smart projects implemented within the public–private partnership (PPP). Our toolkit allows us to assess the effectiveness of management decisions in the implementation of the “smart city” concept and to carry out continuous public–private monitoring of the effectiveness of innovations in implementing smart PPP projects. To this end, we propose and justify a new indicator of the effectiveness of managerial decision-making, taking into account the quality of the information received during the implementation of innovative PPP projects, which allows calculating the degree of utilization of the potential capabilities of a company participating in a PPP.

This chapter explores the evolution of smart city thinking in order to have a clear understanding of what is involved in effectively and sustainably implementing a Smart City 4.0 strategy. The chapter illustrates that the concept of smart cities has evolved from the technology driven implementations to Cities as Open Innovation Platforms. These open and participatory platforms facilitate the interaction and collaboration of the city's citizens, government, industry, entrepreneurs, academia, creatives and the social sector so that they can harness their collective intelligence for innovation, experimentation and implementation of solutions that creates real transformational value for the betterment of the city's and its stakeholders. The author also identifies the key dimensions on which a smart city 4.0 concept must be built upon but highlights that depending on the composition of its stakeholder ecosystem, the City will prioritise different dimensions and so each smart city is unique. The chapter builds upon the experience of implementing a Smart City 4.0 project in Waterford, Ireland. Details of the smart city initiatives implemented are illustrates with examples.

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

The purpose of this study is to explore a sustainable hierarchical framework for the business environment in smart cities. However, this hierarchical framework must consider unnecessary attributes and interrelationships between criteria to capture the difference between smart cities and traditional cities.

Hence, the fuzzy set theory is used for screening unnecessary attributes, the decision-making and trial evaluation laboratory (DEMATEL) is applied to manage the complex interrelationships among the aspects and attributes and interpretive structural modeling (ISM) is used to divide the hierarchy and construct a hierarchical theoretical framework. Ultimately, this research is applied to develop a sustainable hierarchical framework of the business environment in smart cities.

The results show that traditional social problems are still at the core of business environment development in smart cities, new smart opportunities may be discovered, but they are still limited by traditional social factors, the economy is still the main aspect of the business environment and there are still obstacles to solving social problems with smart technologies.

This theoretical hierarchical framework aims to guide smart cities toward sustainability. This study also proposes creating a predictable business environment by improving administrative efficiency, transparency, social mobility and infrastructure services and cultivating new business opportunities with intelligent technology.

This study aims to explore a paradigm for using servitization in circular supply chains, with research fields including smart, sustainable supply chains, circular economy, innovation, digital technology, product service systems and sustainability as focal areas.

A comprehensive statistical analysis of the literature on servitization, circular economy and smart supply chains reveals the history of the industry, including scholarly work, major concerns and future research prospects. The database for the analysis is provided by Scopus. Consequently, 288 research articles were reviewed, and the research trends of servitization, circular supply chains and smart supply chains from 2014 to 2022 (Q1) were covered.

The analysis reconnoitres bibliometric statistics highlighting notable authors, contemporary keywords for sifting through the literature, scientific dimensions related to smart supply chain, servitization and the circular economy, historical growth based on exploration trends and country-by-country investigation of the research field. The study also proposes a conceptual framework that illustrates how a greater emphasis on removing barriers to servitization could increase the efficiency of various circular supply chains. Given this, there is room for further research into the role servitization plays in ensuring long-term sustainability.

This paper helps to understand current scholarly publications on servitization, smart supply chains and their significance in the circular economy. It also provides a template to utilize the field’s prior accomplishments as a guide to future research opportunities.

The enhancement of cities can be affirmed when there is a transformation in the functions it is used to perform to ones that are just experienced in all newness and effectiveness. A city enhanced in all smartness and dimensions can always perform better when quality of life is targeted during and after a designed project. These dimensions come in the form of smart economy, smart transportation, smart environment, smart individual, smart living and good governance. Other aspects of the chapter include cities and smart cities, formation of smart cities, idea of smart city and barriers to smart city development. All these work together to function together in understanding and maintaining a regulated smart city supply chain in the construction industry.

This chapter examines the six smart city dimensions that serve as pillars in smart city projects. These dimensions are crucial in the development and evaluation of smart city initiatives, representing key areas for consideration. This chapter offers a detailed analysis of the smart city ecosystem, focusing on the governance, environment, people, living, mobility, and economy dimensions. It challenges the prevailing media portrayal of the smart city strategy and engages in the current academic debate surrounding these dimensions. This chapter defines, discusses, and explains each dimension, incorporating case studies from cities such as Copenhagen, San Francisco, Lisbon, and Barcelona. It also includes interviews and factual data to highlight the internal implementation and objectives of the smart city within each dimension. This chapter provides a comprehensive understanding of the smart city ecosystem, its implementation, and the potential benefits and challenges associated with each dimension.

The first chapter of this book has already introduced smart city concepts and definitions; the second part will further explain deeper how smart city comes into being and the frameworks that surround it. Firstly, history of city and smart city gives a detailed analogical insight on the transformation from city into smart one. The rate at which the transformation process is implemented depended mostly on how the citizens of the city understand the implementation of digitalisation concepts through the use of appropriate technologies into running and developing a city. Secondly, there are also further definitions on the subject especially as they related to the construction industry. Characteristics of smart cities are also discussed along with features that can really make a city smart. In conclusion, the chapter is well introduced and provisions were also made at the end in terms of bibliographies that will help in further understanding of the smart city concepts beings introduced.