دانشگاه سیستان و بلوچستان پژوهش های مدیریت عمومی 2538-3418 19 72 2026 06 22 Designing a Citizen-Centric Smart City Dashboard within the Framework of Digital Government: A Meta-Synthesis Approach طراحی داشبورد شهر هوشمند مردمی در بستر دولت دیجیتال با رویکرد فراترکیب 241 274 9955 10.22111/jmr.2025.52296.6394 FA فاطمه خواجه داد دانشجوی دکتری، دانشکده اقتصاد و علوم اداری، دانشگاه سیستان و بلوچستان، زاهدان، ایران. نورمحمد یعقوبی استاد مدیریت، دانشکده اقتصاد و علوم اداری، دانشگاه سیستان و بلوچستان، زاهدان، ایران. 0000-0001-6808-0594 Journal Article 2025 06 04 Abstract In recent decades, the emergence of digital government and the advancement of new technologies have fundamentally transformed urban governance and citizen engagement. In this context, urban dashboards have emerged as key tools for monitoring, analysis, and smart decision-making in smart cities. The aim of this study was to design and implement a citizen-centric smart urban dashboard within the framework of digital government, capable of enhancing the quality of urban management through data integration and analysis. This applied research employed an exploratory approach and was conducted using the meta-synthesis method. The statistical population comprised scholarly articles published between 2020 and 2025 in international databases (Scopus, Emerald, Web of Science). Through a content analysis of 68 selected articles, a comprehensive categorization of the dashboard’s key components was extracted. The findings led to the identification of 26 core components grouped into eight key dimensions: smart participation and digital governance; sustainable environment and intelligent resource management; smart mobility and sustainable transportation; smart infrastructure and integrated urban services; smart health and social welfare; smart security and digital privacy; smart economy and digital tourism; and intelligent analytics and urban management decision-making. The results indicated that the proposed dashboard, leveraging technologies such as the Internet of Things (IoT), big data, machine learning, and cloud computing, provides an interactive platform for analysis, prediction, and decision support for both city managers and citizens. This model not only enhances transparency, improves public services, and strengthens citizen participation, but also offers a dynamic tool for performance evaluation, resource management, and strategic planning toward achieving sustainable smart cities. Introduction Recent decades have witnessed rapid advancements in information and communication technologies, profoundly transforming various aspects of daily life and public governance. One of the most significant outcomes of this transformation is the emergence of digital government, which leverages modern technologies to enhance public service delivery, promote transparency, and facilitate citizen engagement. In this context, smart cities have emerged as an innovative response to growing urban challenges such as climate change, environmental crises, and rapid population growth. By integrating ICT, IoT, big data, and AI, smart cities aim to optimize resource management and improve the quality of urban life. A key component of smart cities is the urban dashboard—a platform for real-time data visualization, monitoring, and informed decision-making. Despite significant progress in this area, existing dashboards often lack interoperability, data integration, and predictive capabilities. This study aims to design and implement a comprehensive smart urban dashboard that addresses these gaps by providing a unified, data-driven, and citizen-centric decision-support system. The proposed model not only integrates various urban data sources but also incorporates machine learning for future trend analysis, supporting strategic planning and sustainable urban development. Materials and Methods This research employed a qualitative meta-synthesis approach to identify the key components of a smart city dashboard within the framework of digital government. To address the central research question—what are the essential dimensions of a smart city dashboard in the context of digital governance?—relevant studies on smart cities, digital government, and urban dashboards were systematically reviewed. The meta-synthesis was conducted based on the seven-step model proposed by Sandelowski and Barroso (2006). Initially, a comprehensive document analysis was carried out, during which scientific papers were selected using predefined inclusion and exclusion criteria. The literature review focused on studies published between 2020 and 2025 in databases such as Web of Science, Emerald, and Scopus, resulting in an initial pool of 1286 articles. Through a systematic screening process involving multiple stages—title review, abstract filtering, and full-text analysis—only high-quality and relevant articles were retained. Advanced keyword strategies including terms like “smart governance,” “citizen-centricity,” and “digital government” were applied to refine the search. Ultimately, the selected studies were synthesized to identify patterns and critical variables necessary for the development of an integrated smart city dashboard. This methodological framework ensures the reliability of findings and provides a solid foundation for constructing a dashboard aligned with the principles of digital governance. Discussion and Results With the global rise of digital government policies—particularly in countries like China and Belgium—modern technologies now play a central role in enhancing public service quality, accountability, and transparency. Governments are shifting from traditional service providers to facilitators of social, economic, and environmental development. In this context, the smart city serves as a testing ground for technological innovations aimed at broader societal goals. A key enabler of this vision is the smart city dashboard—a comprehensive, analytical tool for integrating and visualizing urban data. Such a dashboard not only interprets historical and real-time data but also forecasts trends, supports data-driven policymaking, and fosters citizen participation and transparency. Within its framework, smart participation and digital governance act as a cornerstone, promoting interaction between urban authorities and citizens via data-based platforms, transparent algorithms, and civic monitoring tools. Digital participation—through electronic voting, interactive feedback, and social sentiment analysis—advances multi-level governance, with a focus on equity and inclusive access. Simultaneously, the sustainable environment and smart resource management dimension enables real-time tracking of environmental metrics, energy use, and urban agriculture. This facilitates timely, informed decisions in response to climate dynamics and crises. Technologies such as sensor networks, renewable energy systems, and precision agriculture contribute significantly to urban resilience. In smart transportation, digital tools integrated with sustainability principles improve traffic flow, parking, and shared mobility systems—reducing emissions and boosting urban efficiency. Coordinated, intelligent infrastructures further enable rapid responses to urban demands. The smart health and social welfare component leverages telemedicine, real-time health monitoring, and crisis response tools to ensure inclusive access and build social resilience. Meanwhile, smart security and digital privacy, through encryption, identity management, and cyber protection policies, uphold a secure and trustworthy urban digital ecosystem. Finally, the smart economy and digital tourism sector, supported by augmented reality, data analytics, and business intelligence, enhances user experiences and economic activity. These tools allow for sustainable growth and evidence-based economic decision-making. By integrating these dimensions, the smart city dashboard becomes a strategic mechanism for advancing digital governance and sustainable urban development. Conclusion The results of this study indicate that the design and implementation of a citizen-centered smart city dashboard is an effective tool for improving urban management. By leveraging big data and advanced analytics, it strengthens the connection between citizens and city officials, enabling more intelligent decision-making. With extensive capabilities to analyze traffic, environmental, energy, and infrastructure data, this dashboard contributes to better planning and optimal resource allocation, enhancing service quality and reducing urban issues. Additionally, the system plays a significant role in increasing public participation and social oversight and can be effective in forecasting future challenges and reducing costs. Based on the findings, implementing smart systems in cities should be a priority in urban development. The study recommends that future research focus on improving system capabilities, enhancing accessibility and user experience, utilizing emerging technologies such as the Internet of Things and advanced data analytics, as well as examining the impact of dashboards on citizen engagement and addressing security challenges. These efforts will pave the way for sustainable development and better management of smart cities. در دهه‌های اخیر، ظهور دولت دیجیتال و توسعه فناوری‌های نوین، تحولی اساسی در نحوه اداره امور شهری و تعامل با شهروندان ایجاد کرد. در این میان، داشبوردهای شهری به‌عنوان ابزاری کلیدی برای نظارت، تحلیل و تصمیم‌گیری هوشمند در شهرهای هوشمند شناخته شدند. هدف این پژوهش، طراحی و پیاده‌سازی یک داشبورد هوشمند شهری با رویکرد مردمی و در بستر دولت دیجیتال بود که بتواند با تحلیل و یکپارچه‌سازی داده‌ها، به ارتقای کیفیت مدیریت شهری کمک کند. این مطالعه از نوع کاربردی، با رویکردی اکتشافی و به روش فراترکیب انجام شد. جامعه آماری پژوهش شامل مقالات منتشرشده در بازه زمانی ۲۰۲۰ تا ۲۰۲۵ در پایگاه‌های علمی خارجی (Scopus, Emerald, Web of Science) بود که با بررسی و تحلیل محتوای ۶۸ مقاله منتخب، دسته‌بندی جامعی از مؤلفه‌های کلیدی این داشبورد استخراج گردید. یافته‌ها منجر به شناسایی ۲۶ مؤلفه اصلی در قالب ۸ بُعد کلیدی شامل مشارکت هوشمند و حکمرانی دیجیتال، محیط‌زیست پایدار و مدیریت هوشمند منابع، حمل‌ونقل هوشمند و تحرک پایدار، زیرساخت‌های هوشمند و خدمات یکپارچه شهری، سلامت هوشمند و رفاه اجتماعی، امنیت هوشمند و حریم خصوصی دیجیتال، اقتصاد هوشمند و گردشگری دیجیتال، و تحلیل هوشمند و تصمیم‌سازی در مدیریت شهری شد. نتایج نشان داد داشبورد طراحی‌شده، با بهره‌گیری از فناوری‌هایی چون اینترنت اشیاء، کلان‌داده، یادگیری ماشین و پردازش ابری، بستری تعاملی برای تحلیل، پیش‌بینی و تصمیم‌سازی در اختیار مدیران و شهروندان قرار داد. این مدل، علاوه بر افزایش شفافیت، بهبود خدمات عمومی و تقویت مشارکت شهروندی، ابزاری پویا برای ارزیابی عملکرد، مدیریت منابع، و برنامه‌ریزی راهبردی در مسیر تحقق شهرهای هوشمند پایدار فراهم کرد. .

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