scholarly journals Sustainable Smart Cities and Smart Villages Research: Rethinking Security, Safety, Well-being, and Happiness

2019 ◽  
Vol 12 (1) ◽  
pp. 215 ◽  
Author(s):  
Anna Visvizi ◽  
Miltiadis D. Lytras

This Special Issue of Sustainability was devoted to the topic of “Sustainable Smart Cities and Smart Villages Research: Rethinking Security, Safety, Well-being, and Happiness”. It attracted significant attention of scholars, practitioners, and policy-makers from all over the world. Locating themselves at the expanding cross-section of the information systems and policy making research, all papers included in this Special Issue contribute to the debate on the exploitation of advanced information and communication technologies (ICT) for smart applications and computing for smart cities and rural areas research. By promoting a thorough scientific debate on multi-faceted challenges that our villages, cities, urban and rural areas are exposed to today, this Special Issue offers a very useful overview of the most recent developments in the multifaceted and, frequently overlapping, fields of smart cities and smart villages research. A variety of topics including well-being, happiness, security, Open Democracy, Open Government, Smart Education, Smart Innovation, and Migration have been addressed in this Special Issue. In this way they define the direction for future research in both domains.

2021 ◽  
Vol 24 (4) ◽  
pp. 513-517
Author(s):  
Bastiaan T. Rutjens ◽  
Sander van der Linden ◽  
Romy van der Lee ◽  
Natalia Zarzeczna

The global spread of antiscience beliefs, misinformation, fake news, and conspiracy theories is posing a threat to the well-being of individuals and societies worldwide. Accordingly, research on why people increasingly doubt science and endorse “alternative facts” is flourishing. Much of this work has focused on identifying cognitive biases and individual differences. Importantly, however, the reasons that lead people to question mainstream scientific findings and share misinformation are also inherently tied to social processes that emerge out of divisive commitments to group identities and worldviews. In this special issue, we focus on the important and thus far neglected role of group processes in motivating science skepticism. The articles that feature in this special issue cover three core areas: the group-based roots of antiscience attitudes; the intergroup dynamics between science and conspiratorial thinking; and finally, insights about science denial related to the COVID-19 pandemic. Across all articles, we highlight the role of worldviews, identities, norms, religion, and other inter- and intragroup processes that shape antiscientific attitudes. We hope that this collection will inspire future research endeavors that take a group processes approach to the social psychological study of science skepticism.


2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>


2021 ◽  
Vol 101 (4) ◽  
pp. 422-435
Author(s):  
Maylee Inga-Hancco ◽  
Adamari Indigoyen-Porras ◽  
Sergio Parra-Alarcón ◽  
Juan Cerrón-Aliaga ◽  
Wagner Vicente-Ramos

The present study describes the methodological process proposed by the Social Progress Imperative Global Organization to calculate the Social Progress Index in urban and rural areas of the province of Huancayo, Peru, in 2020. The survey was based on 229 observations regarding basic human needs, foundations of well-being and opportunities. The result produced an index of 56.04 for urban areas and 53.98 for rural areas; results that are in the low and low middle range respectively, identifying deficiencies in the quality of economic policies, with respect to the sanitation service, where more than 30% do not have access to drinking water, and others. It was concluded that the index showed no improvement with respect to 2019, likewise the social gaps still persist and the well-being of the aforementioned population was not increased.


Author(s):  
Kartika Yulianti ◽  
Amirul Mukminin

In this study, we explored how teachers in elementary schools in urban and rural areas in Indonesia experienced teaching and learning during school closure or learning from home (LFH) period and examined the barriers that hindered the teaching and learning process in both contexts. We collected data through demographic profiles and semi-structured in-depth interviews with 18 teachers. We organized our analysis around their perspectives on teaching and learning during COVID-19 pandemic that they encountered emerged. Overall, an analysis of the text revealed that major themes related to the critical issues of (1) teaching and learning activities during school closure, (2) how teachers assess students’ learning progress, (3) how teachers maintained students’ motivation during learning from home period, (4) the most challenging subject to teach during the learning from home period, (5) support from school or the principals, parents’ ability to assist children learn during the pandemic, and (6) barriers to teaching and learning during the learning from home period. Future research and policy implications are also discussed.


2011 ◽  
Vol 37 (2) ◽  
Author(s):  
Evangelia Demerouti ◽  
Arnold B. Bakker

Motivation: The motivation of this overview is to present the state of the art of Job Demands–Resources (JD–R) model whilst integrating the various contributions to the special issue.Research purpose: To provide an overview of the JD–R model, which incorporates many possible working conditions and focuses on both negative and positive indicators of employee well-being. Moreover, the studies of the special issue were introduced.Research design: Qualitative and quantitative studies on the JD–R model were reviewed to enlighten the health and motivational processes suggested by the model.Main findings: Next to the confirmation of the two suggested processes of the JD–R model, the studies of the special issue showed that the model can be used to predict work-place bullying, incidences of upper respiratory track infection, work-based identity, and early retirement intentions. Moreover, whilst psychological safety climate could be considered as a hypothetical precursor of job demands and resources, compassion satisfaction moderated the health process of the model.Contribution/value-add: The findings of previous studies and the studies of the special issue were integrated in the JD–R model that can be used to predict well-being and performance at work. New avenues for future research were suggested.Practical/managerial implications: The JD–R model is a framework that can be used for organisations to improve employee health and motivation, whilst simultaneously improving various organisational outcomes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Florina Guadalupe Arredondo-Trapero ◽  
José Carlos Vázquez-Parra ◽  
Martín De Jesús González-Martínez

Purpose The aim of this study is to analyse teachers’ perceptions of information and communication technologies (ICT) and the effect they have on their students, comparing male and female teachers in rural and urban areas of Mexico. Design/methodology/approach This is a quantitative study with a validated questionnaire that records the perception of school teachers from a state in the northeast of Mexico. The questionnaire was designed by interviewing 20 teachers who have had problematic situations in the use of technology by students. The main problems that were perceived in their students were cyberbullying, cyberviolence, online pornography, excessive use of videogames and also lack of ability to use digital technology. Hypothesis testing was applied to identify differences between gender (female or male) and region (rural or urban), considering these problems and the efforts made by the school to address these issues. Findings Both the gender of the teaching staff and the region where the school is located are variables that are influencing the willingness to incorporate ICT issues that are affecting the well-being of students into the educational agenda. While teachers are the main actors in preparing their students on how to face these challenges, students in schools with mostly male teachers, or located in rural areas, will be in a situation of greater vulnerability to be victims of the problems that arise as part of ICT risks in a digital society Research limitations/implications This article only offers a first approach to ICT and teachers’ perceptions. It is necessary to broaden the scope of this type of research to include different educational contexts and to ask questions that reveal in greater detail how schools are dealing with ICT and its possible risks and the factors that have influenced the successes or failures they are having in these attempts. Practical implications This finding can help schools to promote programs focused to apply ICT for student flourishment and help them to deal with the risk that digital technology is generating in young students. Originality/value Although multiple research have been conducted to address teachers’ perception about diverse topics, there has been no specific research on the self-perception of teachers in dealing with technology and preparing students for the problems presented by ICT and its risks. This research contributes to the literature on the impact that teachers’ perceptions can have on the adoption of technology in education, and how this can be different by gender and region.


2020 ◽  
Vol 8 (6) ◽  
pp. 439-442
Author(s):  
Margherita Lanz ◽  
Joyce Serido

Current global economic instability has exacerbated the challenges of contemporary emerging adulthood and increased the urgency of examining financial instability as a life condition during this life stage. For this special issue, we assembled eight papers from different countries to examine how emerging adults are navigating financial instability. In the current introduction to the special issue, we identified the main themes that emerged from the collected studies: the role of family, emerging adults’ financial self-agency, financial disruptions and wellbeing, and the processes linking financial factors and positive development. Overall, these studies demonstrate that while the overall processes linking finances and development may be similar in different nations, the specificity of each context highlights the need to consider the important role of cultural norms and attitudes. We conclude this introduction, suggesting future research paths and implications for educators and practitioners that provide financial educators programs.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhenhua Zheng ◽  
Hong Chen

Abstract Background Although social network is a known determinant of the elderly’s well-being, it is not clear, in urban-rural and age-comparison, what its structural characteristics are and how it works for well-being. The research aims to discuss the features of the elderly’s social network and the social network efficacies on the well-being of older adults in China’s urban and rural areas as well as revealing the urban-rural disparities among the elderly of different age groups. Methods In this study, descriptive statistical analysis and structural equation Modeling (SEM) were used to make a group comparison between the urban and rural elderly of different age groups. All data are quoted from 2014 China Longitudinal Aging Social Survey (CLASS). The survey adopted the multi-stage probability sampling method, targeting Chinese senior citizens aged 60 and above, the ultimate samples totaled 11,511. Results The social network of the elderly in China feature a “reverse structure” in age sequences: with ageing, family network of the elderly expand while their friend network shrink; also, the expansion scale of the rural elderly’s family network is significantly larger than that of the city’s while the shrinkage scale of their friend network is smaller compared with its urban counterpart. The effect of family network on the rural elderly’s well-being shows a remarkable increase with age. However, there is no noticeable change in urban elderly groups of different ages. Conclusion The social network characteristics of the Chinese elderly are different between different age stages. Namely, the family network and the friend network have the “reverse structure “ in age sequences. Meanwhile, the family network and the friend network have different efficacies on the well-being of the elderly in China, and the differences between urban and rural areas are even more obvious. For rural elderly, family network has very important effects on their well-being. Moreover, With the increase of age, family network’s efficacies increase gradually. For urban elderly, comparatively, family network is just as important as friend network.


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