ABSTRACT
significant recommender systems (RS) development has occurred along with the Internet of Things (IoT) development in recent years. Recommender systems have been widely spread across diverse fields, including environmental preservation, e-commerce, healthcare, social and governance systems. There has been a growing focus on e-government as part of smart city initiatives in today's world of connected devices and infrastructure, especially after the COVID-19 pandemic. With the use of information and communication technologies (ICTs), the government can enhance the delivery of public services, increase transparency, accountability, and credibility, as well as engage citizens in the decision-making process. To facilitate 'smart' governance, one of a smart city initiative's objectives is integrating e-government into the city's governance framework. The lack of personalized services for particular stakeholders is one of the most significant limitations of e-governance. There are a number of open challenges coupled with interesting opportunities, making this a very promising and exciting area for research to shape recommendation systems for urban environments. Considering the overwhelming amount of information, services, and tasks available through smart government applications, it is a greater chance of providing personalized recommendations for different stakeholders and tasks within multi-faceted and multi-dimension. There is still a lot of research to be done on recommendation systems in the context of smart cities or smart government. This paper survey the existing studies on recommendation systems for smart governance. The study aims to address smart city challenges to considered when designing and implementing recommendations for e-governance and the target stakeholder's interests. © 2022 IEEE.
ABSTRACT
Appropriate governance tools can facilitate urban governments' effective responses to crises. Supported by information and communication technologies (ICTs), e-government infrastructure can be employed to achieve smart governance in epidemic control. Examining the case of Hangzhou, this paper discusses the Chinese megacity's adoption of e-government infrastructure as a means of combating the COVID-19 epidemic and stimulating recovering of the economy. This paper also summarizes several policy implications that may serve as points of reference for other cities when formulating their crisis response strategies. The paper concludes that smart governance rooted in the use of e-government infrastructure has exhibited great potential for public health crisis management.
ABSTRACT
Although many studies have analyzed smart governance in Indonesia, the research linking smart governance service, citizen satisfaction, and trust is rare. The present study fills the gap by investigating the associations among dimensions of smart governance service, citizen satisfaction, and trust. Additionally, it examines the mediating role of citizen satisfaction in the nexus. An online survey was conducted on Depok's residents using Google docs. 220 respondents have participated in this research. Data were analyzed using a partial least square structural equation modeling (PLS-SEM). The findings of this study show that involvement, security, and information provision are associated with citizen satisfaction and trust. In addition, the relationship between involvement, security, information provision, and citizen trust is mediated by citizen satisfaction. This study not only contributes to the theory but also the practice of smart governance in the context of Indonesia. © 2022 IEEE.
ABSTRACT
Today, many cities around the globe are interested in developing or adopting smart city policy frameworks;however, the complexity of the smart city concept combined with complicated urban issues makes it a highly challenging task. Moreover, there are limited studies to consolidate our understanding of smart city policymaking. The aim of this study was to bridge this knowledge gap by placing a set of official smart city policy frameworks under the policy analysis microscope. The study approached the analysis by, firstly, internationally collating the smart city policy frameworks of 52 local governments from 17 countries. The methodology then progressed to a deductive content analysis of the identified policies with a thematic data analysis software. The investigation employed the main themes to identify common urban issues in smart city policies—i.e., smart economy, smart environment, smart governance, smart living, smart mobility, and smart people. The results revealed the targeted key planning issues, goals, and priorities, and the ways that smart city policies address these key planning issues, goals, and priorities. The study findings inform policymakers, planners and practitioners on the smart city policy priorities and provide insights for smart city policymaking.
ABSTRACT
amidst the economic, social, and environmental disruption being faced due to the COVI)-19 outbreak, SMEs are being challenged with how best to ensure business continuity. As a result, business continuity and global supply chain performance are disrupted. Due to the damage caused by the outbreak of the Coronavirus, if the economic, social, and environmental losses are not addressed quickly, and practical policies and strategies are not adopted, the damage will be exponential. This means that many SMEs will face many crises in the future. Good governance has significant potential for sustainability & continuity of operations of the business, modernizing SMEs, business model innovation, new business development, improving public service delivery, addressing complex development needs and promoting prosperity, and may help achieve the 2030 Sustainable Development Goals set by the United Nations. In this regard, smart governance to support business strategies remains an important driving force for this transition, especially in the face of international market pressures and global competition. And it offers incredible opportunities to innovate, strengthen and improve efficient practices and bring many benefits. In the meantime, the role of education is vital for sustainability. Education for sustainability leads to the accumulation of human capital in organizations by improving individual skills, abilities, and competencies. Companies that have better sustainability training have enjoyed more sustainable growth and development by using high-tech and knowledge-based products. In today's increasingly complex social environments, many E-governance is working to ensure effective planning, implementation, and delivery of education policies. training in sustainable SMEs helps enthusiasts gain the necessary competence and skills to initiate sustainable enterprises. In fact, companies are no longer just legal in nature, and their main goal is not just profitability and accountability to shareholders. Companies have become citizens who are responsible for society and must become good corporate citizens. Innovative SMEs and their business ecosystems can be a major strength in achieving the goals of green technologies, the circular economy, as well as an innovation-enabling policy- and regulatory framework Therefore, educational sustainability and transition to hybrid organizations are a necessity. In this paper, we are going to introduce a new concept which titled "Hybrid SMEs/SME 5.0 or Tomorrow's SMEs" through the 5th wave theory towards mapping the future education with using the smart governance.
ABSTRACT
The concept of smart cities peaked in 2015, bringing an increased influx of 'smart' devices in the form of the Internet of Things (IoT) and sensors in cities. As a result, interest in smart urban governance has become more prevalent in administrative, organisational, and political circles. This is sustained by both local and global demands for an increased contribution to the goals of sustainability through urban governance processes in response to climate change urgencies. Cities generate up to 70% of global emissions, and in light of societal pressures for more inclusivity and democratic processes, the need for sound urban governance is merited. Further knowledge on the theme of smart urban governance is required to better understand the trends and knowledge structures and better assist policy design. Therefore, this study was undertaken to understand and map the evolution of the concept of smart urban governance through a bibliometric analysis and science mapping techniques using VOSviewer. In total, 1897 articles were retrieved from the Web of Science database over 5 decades, from 1968 to 2021, and divided into three subperiods, namely 1978 to 2015, 2016 to 2019, and 2020 to early 2022. Results indicate that the overall emerging themes across the three periods highlight the need for citizen participation in urban policies, especially in relation to smart cities, and for sustained innovation for e-participation, e-governance, and policy frameworks. The results of this study can aid both researchers exploring the concept of urban governance and policy makers rendering more inclusive urban policies, especially those hosting technological and digital domains.
ABSTRACT
Today's societies are connected to a level that has never been seen before. The COVID-19 pandemic has exposed the vulnerabilities of such an unprecedently connected world. As of 19 November 2020, over 56 million people have been infected with nearly 1.35 million deaths, and the numbers are growing. The state-of-the-art social media analytics for COVID-19-related studies to understand the various phenomena happening in our environment are limited and require many more studies. This paper proposes a software tool comprising a collection of unsupervised Latent Dirichlet Allocation (LDA) machine learning and other methods for the analysis of Twitter data in Arabic with the aim to detect government pandemic measures and public concerns during the COVID-19 pandemic. The tool is described in detail, including its architecture, five software components, and algorithms. Using the tool, we collect a dataset comprising 14 million tweets from the Kingdom of Saudi Arabia (KSA) for the period 1 February 2020 to 1 June 2020. We detect 15 government pandemic measures and public concerns and six macro-concerns (economic sustainability, social sustainability, etc.), and formulate their information-structural, temporal, and spatio-temporal relationships. For example, we are able to detect the timewise progression of events from the public discussions on COVID-19 cases in mid-March to the first curfew on 22 March, financial loan incentives on 22 March, the increased quarantine discussions during March-April, the discussions on the reduced mobility levels from 24 March onwards, the blood donation shortfall late March onwards, the government's 9 billion SAR (Saudi Riyal) salary incentives on 3 April, lifting the ban on five daily prayers in mosques on 26 May, and finally the return to normal government measures on 29 May 2020. These findings show the effectiveness of the Twitter media in detecting important events, government measures, public concerns, and other information in both time and space with no earlier knowledge about them.