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The rise in the urban population has led to an increase in the magnitude of inequalities within the community. Smart city is an evolution of cities with technology trying to facilitate modern urbanization complexities. Success of establishing smart city initiatives can be considered as a social transforming quest with technology reaching goals at individual and collective levels, thus citizen engagement is critical in heavy technological-reliant projects. This study aims to investigate the potential of improving quality of life through a citizen-centric approach to smart city development in urban cities of Sri Lanka.

The study was based on qualitative methods where information was gathered from 20 citizens residing across 9 provinces of the smart city initiatives based on the City Competitive Index rankings. Six-dimensional smart city model was used as a theoretical lens.

Time management issues, well-being and bleak atmosphere were identified as key challenges; Citizen-centric approaches in Sri Lanka were not satisfactory, and there was room left for improvement of quality of life. Cultural integration and socio-cultural readiness were unique findings, whereas the need for smart education was dominant to overcome challenges in progressing in citizen-centric smart city initiatives.

The results of the study would provide comprehensive knowledge through theoretical and academic contributions in developing countries. At the same time, policymakers, the community at large, government and service providers will primarily benefit from the practical implications of the study.

The study recommends focusing on a tailored smart educational approach, feedback mechanisms and sustainable policies to facilitate the progression of smart cities. Novel findings of cultural integration, socio-cultural readiness and safety should be focused more to ensure the success of smart cities in the South Asian context.

This study aims to examine the effects of technology-, organisation- and environment-readiness, smart economic development, change valence, social cohesion and quality of life on citizenship in the context of smart cities.

The study employed a customized questionnaire which was completed by 280 residents of China’s first-tier cities. This study tested the framework using the partial least squares structural equation modelling (PLS-SEM) technique.

The results indicated that smart economy development, social cohesion, change valence, technological readiness, organizational readiness and environmental readiness have a significant impact on the quality of life. Quality of life has a positive impact on citizenship.

This study adds new insights to smart city academic discussions. The study addresses a critical gap identified in existing literature which urges the need for a balance between user-centric, organization-centric and technology-centric approaches. It offers a fresh perspective on how the smart economy, social cohesion and readiness factors are interlinked. These elements together shape urban living experiences. For policymakers and urban planners, our findings provide clear guidance. They highlight the complex dynamics that must be considered to build more unified, inclusive and sustainable smart cities.

The smart sustainable cities (SSC) concept has a wide acknowledgement amongst governments and societies that deal with emerging technology and help in developing better urban communities. However, the fact that citizens' participation (CP) is not adherent to the current policies and governance often boosts their aspirations of decision-making to become smart cities. This paper aims to identify SSC variables and, more importantly, rank, categorise and discuss the factors towards implementing SSC by engaging, empowering and enabling citizens to participate in the urban development of SSC.

A comprehensive literature review identified 38 factors in the CP process. Those factors were used to design an online questionnaire administered to the respondents. A total of 164 valid responses were collected. A two-stage statistical analysis was adopted. First, the Relative Importance Index (RII) was used to rank and prioritise the importance of the factors that affect the current policies and agenda. Second, factor analysis was utilised to categorise and group those factors.

This study founds four significant factors that help in implanting SSC: “knowledge of smart sustainable cities”, “awareness of smart sustainable cities”, “willingness of the citizens to participate” and “opinion on the current agenda of the government's role”.

This study has a few limitations which can be considered in future studies. First, the response rate of the participant is relatively low (163), so sampling a larger segment will support the broader perception of the citizens.

The outcome of this paper underlines the need for the successful implementation of smart cities by adopting CP in the process of impacting policies and governance. Particularly, it identifies factors that help cities and policymakers in engaging CP in developing new policies and revising existing policies for promoting SSC.

There is a need to investigate the most critical factors that influence CP for implementing SSC. These factors have not been adequately examined in extant literature.

This study aims to identify the determinants that influence citizen’s behavioural intention and continuous usage intention of smart mobility services in Indian smart cities with the help of an extended technology acceptance model.

This study uses a quantitative methodology to analyse the data collected from 509 residents of smart cities in India. The study used the partial least squares structural equation modelling approach to test the proposed hypotheses.

The study highlights the importance of perceived usefulness and ease of use in influencing citizens’ attitudes and intentions towards smart mobility services. Positive attitudes significantly impact behavioural intentions, which, in turn, link to continuous usage intentions.

This study contributes to the existing body of knowledge on smart cities and technology adoption, specifically in the area of smart mobility. The study’s findings will help service providers and policymakers to develop more robust strategies for the future.

The article attempts to shed light on the social aspects of research that deal with Sustainable Development Goals (SDGs) and sustainable cities. The aim is to offer a global view of these facets' evolution and to provide information on people-centered smart cities.

The research is qualitative. A systematic bibliometric approach is a framework for the research. The unit of analysis is publications on SDGs and Smart Cities (SCs) indexed in Scopus. The authors used VOSviewer text mining functionality to construct co-occurrence networks of socially related critical terms extracted from textual data. The co-occurrence of keywords presents a valuable method and process for attaining in-depth analysis and fast comprehension of trends and linkages in articles from a holistic approach.

Social media, social sustainability and social capital are the three multifaceted social keywords that co-occur in SDGs and SCs. The paper provides a brief compendium of resources and frameworks to build a socially sustainable smart city.

The retrieval date was on 15 August 2019. The authors used the same search query for new papers released in 2019 and afterwards to update their findings. The authors collected 657 documents on SCs, compared to 2,975 documents about SDGs demonstrating that their findings are still trending in the same direction, emphasizing the importance of the research topic. SCs' social aspects are still chartered areas that require the attention to future research.

The authors’ decision to use two separate data sets for SCs and SDGs data files helps to provide a more comprehensive picture of the research landscape. It may identify areas where research is lacking or needs future research. The authors present an integrative agenda for a smart city to be socially sustainable. Innovative approaches to urban planning are required to empower the place and context and improve the users' satisfaction, where innovative solutions enable smart, sustainable and inclusive societies. Infrastructure governance is a critical keystone. It could guarantee that public investments contribute to sustainable urban development while enhancing city resilience, particularly in facing climate change and inclusive growth challenges.

In the context of modern urbanization, optimizing resources such as energy, materials, water and labour is no longer solely an environmental concern but a strategic economic necessity. This chapter underscores the vital connection between smart cities and resource efficiency, highlighting sustainable practices as crucial amidst the ever-expanding urban landscape. This chapter commences by demystifying key terms like ‘smart city,’ ‘data analytics,’ ‘artificial intelligence’ and ‘resource efficiency.’ It illuminates how these concepts intertwine and emphasizes their pivotal roles in shaping urban sustainability. Furthermore, this chapter unravels the multifaceted components of smart cities, showcasing their real-world use cases and the techniques of data analytics and artificial intelligence (AI) driving transformative changes. It draws from an extensive body of research, exemplifying how various data analytics techniques have been leveraged in the realm of smart cities. Towards its conclusion, this chapter provides a comprehensive overview of these techniques and their applications, shedding light on their potential to revolutionize resource management in urban environments. In essence, this chapter serves as a valuable compendium of knowledge, offering insights into the critical synergy between smart cities, data analytics, AI and resource efficiency. It underscores the imperative for cities to harness data-driven insights and technological advancements to achieve sustainable and prosperous urban futures.

This chapter aims to comprehend the challenges of urban mobility in smart cities and the measures to mitigate these challenges. This chapter also tries to study how sustainable mobility can be achieved to improve the quality of life in smart cities. In this direction, this chapter reviews various newspapers, academic reports, travel reports, government portals, government websites and research papers. Results and discussions are then carried out based on such data. So, the sources of data are secondary in nature. This chapter presented an overall comprehensive discussion on urban mobility, its challenges and the measures to combat these challenges. Further, this chapter confirmed that sustainable mobility helps in improving the quality of life. Practically, this chapter offers many implications to urban transport companies, providers, government and policymakers. Urban transport companies, providers, government and policymakers may be able to understand that the path to leading a quality life in today's smart cities lies in sustainable mobility. This chapter is original in the sense that the researchers, to their limited knowledge, could not find a chapter that discusses the challenges posed by smart cities in the form of urban mobility, and that sustainable mobility is the only path to enhance the quality of life by making the environment sustainable.

This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It discusses what these findings mean for city digital twin adoption.

This research uses the systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) process to collect and evaluate evidence needed to answer the research questions. It uses the technology–organisation–environment (TOE) framework and proposes an additional dimension: “stakeholders” as the analytical framework.

Critical influential factors identified include the technology dimension: security and privacy; organisation dimension: top management support; environment dimension: political influence; and stakeholders’ dimension: technological experience.

This research extends the TOE framework and comprehensively analyses those factors which relate to citizens but significantly impact local government’s decision to adopt digital tools for collaboration purposes. This research posits that in the context of local government technology adoption for collaboration, both the organisation and stakeholders’ dimensions are critical.

This research contributes to the government-citizen discourse and provides a constructive understanding of technological transformation in collaborative planning. The findings are helpful for local governments, researchers and geospatial industries as they offer a critical understanding of digital technology adoption, particularly city digital twins, for collaborative planning.

This study extends the TOE framework to include aspects relating to citizens. It provides a nuanced understanding of the influential factors and intricacies of technology adoption by local governments for citizen collaboration. It also discusses relevant issues of city digital twins’ adoption by local governments for citizen participation.

This paper aims to present the results of a project deployment on voluntary data exchange between a municipality and commercial entities built on the Commitment-Trust theory. The research also discovers whether data sharing can be a vital instrument to foster city socio-economic development.

Inspired by the engaged scholarship approach, this research explores the economic and operational results of data integration from two different information sources, the legislation impact and the effects on citizens as final beneficiaries. Over a period of 27 months, the authors observed changes the voluntary data sharing brings in traditional interaction between multiple ecosystems. The impact of positive and negative factors was validated via 12 exit interviews with key stakeholders.

Voluntary data sharing is driven by parties’ goodwill to improve public services for residents, the organisations gain tremendously much more benefits than they can do separately on their own. When the parties commit to voluntarily share data, this increases trust in each other and the responsibility of each data contributor. This research proposes that the Commitment-Trust theory is well-replicable for the government-to-business relationship.

This research contributes to the current body of knowledge of voluntary data exchange between different ecosystems, especially between a government and its environment. This paper presents a relevant project deployment from an emerging economy and its consequences for a city municipality, businesses and residents.

The aim of this study was to map and scope a body of literature on the interplay between public value management (PVM) and digital transformation (DT), clarify the concept of PVM in DT, and identify knowledge gaps by using a scoping review methodology.

A scoping review was conducted, drawing on the framework proposed by Arksey and O’Malley (2005) and Levac et al. (2010). A total of 54 publications on the interplay between PVM and DT were selected for the final analysis from the Web of Science, Scopus, and Dimensions databases.

We found that PVM in DT is a relatively unexplored topic and that additional research is needed to focus on the role of emerging technologies such as artificial intelligence (AI) and blockchain, especially in the context of local and regional governments. We also found that researchers have a limited conceptual understanding of PVM and DT.

This article makes two main contributions. First, although PVM and DT have contributed to public value research, our findings show a need for more systematic knowledge of these complementary but distinct approaches. Second, this study provides a valuable addition to the developing body of research using the scoping review methodology in PAM literature.