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The purpose of this paper is to focus on explaining the concept of a smart citizen and in what way it is related to and dependent on smart government.

To study this specific use case, researchers use “Qualitative Research.” For the review of the literature, the authors used an indirect citation. Additionally, VOSviewer software was used to evaluate the research data for this paper.

As researchers, the authors will explain how smart governments lay the foundation for transforming an ordinary citizen into a smart citizen. Also, they will be highlighting the significance and importance of citizens becoming smart in the future and how it will give an edge to any country over others in terms of development and growth.

After it, the authors will be sharing the essential qualities that are joined together to make a smart citizen and able to distinguish between a common citizen and smart citizen. Finally, creating an understanding of it, the emphasis will be on the facilities and services smart citizens will get under a smart government, which will eventually increase the smartness of the citizens.

This study aims to assess the readiness of both citizens and the government for digital participatory planning (DDP) as a contribution to the undergoing transformative shift toward smart and sustainable cities to address the challenges posed by rapid urbanization. While much attention has been devoted to leveraging technology to mitigate these challenges, there has been a relative lack of emphasis on engaging stakeholders in the planning process in a smart and inclusive manner. DPP stands as a cornerstone for the development of sustainable and smart cities. However, before DPP can be effectively implemented on the ground, it is crucial to assess the city readiness for DPP to ensure its success. This assessment is undertaken as part of Oman's broader initiative to transition into sustainable smart cities in alignment with the goals outlined in Oman Vision 2040.

A generic evaluation framework was identified, validated and customized to the local context by experts using the pile sorting technique based on the social constructivism theory. Then, the revised framework was used to evaluate the readiness of a sample of local citizens and government officials in Oman for the DPP concept.

The inferential statistical analysis revealed that citizens are willing to participate in DPP when trust and transparency with policymakers are enhanced. On the government side, the results showed that there is adequate infrastructure that can enable DPP, and planners have a positive attitude toward DPP provided that trust in citizens' opinions is strengthened. This study concludes with a roadmap for preparation for DPP implementation in smart sustainable cities mandated by Oman Vision 2040. The findings and roadmap can inform policy development, decision-making and urban planning practices toward more inclusive, participatory and technologically enabled urban environments.

The study contributes to the existing body of knowledge by emphasizing the significance of stakeholders' smart involvement in planning processes, social sustainability, evaluating city readiness for DPP and providing practical recommendations for DPP implementation in the context of smart sustainable cities. At a theoretical level, the study contributes a framework for assessing readiness for DPP and emphasizes that mutual trust is not only important for conventional participation practices but it is also essential for smart citizens. This study argues that a building or a city is not sustainable unless it is seen as such by its stakeholders, including the end users. Therefore, effective and smart involvement of the citizens in smart city planning is a precondition for the success of the future cities.

This chapter aims to provide a comprehensive understanding of the urban outcomes of smart city projects, focusing on their primary objectives. The first objective is to facilitate the management and flow of information, data, and resources to enhance resource efficiency, sustainability, and the quality of life for citizens and stakeholders. This chapter offers insights into the urban objectives of smart city projects within the local ecosystem, with a specific emphasis on digital and key urban outcomes. It provides an overview of the digital outcomes, including the advancement of digital systems for safety and urban monitoring, the provision of customized digital services, and the promotion of citizen engagement through digital platforms. This chapter also evaluates the environmental outcomes of smart city projects, such as improved quality of life, increased urban efficiency, and contributions to a sustainable environment. To provide a well-rounded understanding, interviews with policymakers and city managers, as well as case studies from cities like London, Medellin, Helsinki, Singapore, Girona, and San Diego, are incorporated. Furthermore, this chapter incorporates data and findings from top-tier international journals to provide a clear understanding of the impact of smart cities on the local ecosystem.

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.

This chapter concludes the book by addressing the complexities and challenges associated with smart cities. Despite the widespread enthusiasm and progressive policies surrounding smart cities, navigating this world remains a desirable yet complex challenge. Drawing on existing literature, this final chapter serves as a synthesis of the key points covered throughout the book and offers practical guidelines for navigating the landscape of smart cities. This chapter provides valuable tips and insights for both citizens and policymakers, recognizing their pivotal roles in shaping the future of smart cities. Additionally, it delves into the current challenges faced by smart city initiatives and discusses potential future directions. Emphasizing the need for ongoing adaptation and innovation, this chapter highlights the importance of overcoming obstacles and capitalizing on opportunities in the rapidly evolving digital age. By offering a comprehensive overview and practical recommendations, this chapter aims to equip readers with the knowledge and tools to navigate the complexities of smart cities effectively. It concludes the book on a forward-looking note, emphasizing the dynamic nature of smart city development and the continuous need for adaptation and innovation.

This chapter investigates the geographical variations and approaches that shape the implementation of smart city projects on a global scale. Recognizing the significant influence of contextual factors on smart city initiatives, this chapter aims to comprehend the dynamics that drive the objectives and approaches of smart city projects across different countries. This chapter provides an overview of the strategic and geographical factors that impact smart city implementation, considering organizational drivers and practices, such as the Hofstede model in context. It explores the role of citizen-based, technology-based, and decision-making-based development in smart city implementation. Moreover, this chapter examines the strategic, cultural, socioeconomic, and geographical differences that influence smart city projects worldwide. It analyzes the geographical influence and internal drivers of smart city projects, focusing on Europe, North America, Latin America, and East and South Asia. This analysis offers insights into diverse approaches to smart city development, encompassing top-down and bottom-up approaches. By examining various perspectives and experiences from smart city initiatives worldwide, this chapter sheds light on the challenges and opportunities associated with implementing smart city strategies in different contexts.

This study aims to investigate the influence of the built environment of smart cities on citizens’ quality of life in a developing country like India, focusing on the role of citizens’ participation as a moderator.

This study used partial least square-based structural equation modelling to test the hypotheses using data from 542 sample respondents residing in five smart cities of India.

The findings of this study confirmed that the smart city-built environment dimensions of smart governance, smart economy, smart mobility, smart environment and smart living positively relate to citizen quality of life, except for the smart people dimension. This study also confirmed that citizen participation moderates the relationship between all six dimensions of the smart city-built environment and citizens’ quality of life.

This study investigates the relationship between the built environment of smart cities and residents’ quality of life and the moderating effect of citizen participation on this relationship.

Citizens often perceive surveillance by government authorities as oppressive and, hence, demonstrate reluctance in value co-creation from such services. This study aims to investigate the challenges and benefits of citizen empowerment through technology-driven surveillance or “smart surveillance.”

Guided by Dynamic Capability theory, the authors conduct in-depth interviews with officers in-charge of surveillance in smart cities. Given the contemporary advancements, this approach allows a retrospective and real-time understanding of interviewees’ experiences with smart surveillance.

The authors develop five propositions for citizen empowerment through smart surveillance to summarize the findings of this study.

This study advances the relevance of Dynamic Capability in public administration.

Smart city authorities and policymakers may leverage the insights provided in this study to design appropriate policies for smart surveillance.

The authors find that factors such as digital technology and infrastructure, information management, skill divide and perceived return on investment may influence citizen empowerment through smart surveillance.

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.

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.