scholarly journals Investigation of the Distribution of the Daytime Employed Population of Yangon, Myanmar, with and without the Impact of Work from Home

2021 ◽  
Vol 38 (1) ◽  
Author(s):  
Ye Wint Aung ◽  
San San Myint
Keyword(s):  
Survey Data ◽  
Time Distribution ◽  
Distribution Model ◽  
Geographical Data ◽  
Work Space ◽  
Work From Home ◽  
Urban Employment ◽  
Alternative Option ◽  
Data Collections ◽  
The Impact

Work from home (WFH) has gradually become popular since Covid-19 started its transmission in Myanmarduring the first quarter of 2020. It re-evaluated the culture of ‘a work space’ and a significant change has occurred to the pattern of day-time distribution of the employed population. In this paper, network distribution model was built with three constraints, Distribution Bias 1, 2 and 3. These biases were determined through questionaries, survey data collections of responses from Yangonites and geographical data of urban employment cores. These percentile biases influenced the amount of employed population per distribution times and gave rise into two results. One was the ordinary day-time employed population ODEP and another was the improved day-time employed distribution IDEP (considering WFH). These two results were compared and contrasted with coefficient of variations, t-tests and other correlation methods to determine the effect of WFH on the day-time employed population. With survey data, it was clarified that majorities in Yangon do favor work from home as an alternative option for future employment. Subsequently, compared results revealed that work from home significantly decreased the amount of employment distribution and the amount of such decrements were more consistence and have less variations, thence, reduce cramming during day-time distribution.

Materialism and Green Purchase Intention: A Study of Urban Vietnamese Consumers

2017 ◽  
pp. 89-106 ◽  
Author(s):  
Mai Nguyen Thi Tuyet ◽  
Hung Nguyen Vu ◽  
Linh Nguyen Hoang ◽  
Minh Nguyen Hoang
Keyword(s):  
Conceptual Framework ◽  
Survey Data ◽  
Purchase Intention ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Perceived Behavioral Control ◽  
Policy Makers ◽  
Tpb Model ◽  
Research Findings ◽  
The Impact

This study focuses on examining the impact of three components of materialism on green purchase intention for urban consumers in Vietnam, an emerging economy. An extended Theory of Planned Behavior (TPB) is applied as the conceptual framework for this study. The hypotheses are empirically tested using survey data obtained from consumers in Hanoi, the capital of Vietnam. The regression results show support for most of our hypotheses. The findings indicate that two out of three facets of materialism are significant predictors of green purchase intention. Specifically, success is found to be negatively related to purchase intention, while happiness is related positively to the intention. All three antecedents in the TPB model, including attitude towards green purchase, subjective norm, and perceived behavioral control are also found to have positive impacts on purchase intention. The research findings are discussed and implications for managers and policy makers are provided.

Taking Aim at Attack Advertising

2019 ◽  
Author(s):  
Kim Fridkin ◽  
Patrick Kenney
Keyword(s):  
Content Analysis ◽  
Focus Groups ◽  
Survey Data ◽  
Data Sources ◽  
Empirical Validation ◽  
Negative Campaigning ◽  
Senate Elections ◽  
Campaign Messages ◽  
Negative Messages ◽  
The Impact

This book develops and tests the “tolerance and tactics theory of negativity.” The theory argues that citizens differ in their tolerance of negative campaigning. Also, candidates vary in the tactics used to attack their opponents, with negative messages varying in their relevance to voters and in the civility of their tone. The interplay between citizens’ tolerance of negativity and candidates’ negative messages helps clarify when negative campaigning will influence citizens’ evaluations of candidates and their likelihood of voting. A diverse set of data sources was collected from U.S. Senate elections (e.g., survey data, experiments, content analysis, focus groups) across several years to test the theory. The tolerance and tactics theory of negativity receives strong empirical validation. First, people differ systematically in their tolerance for negativity, and their tolerance changes over the course of the campaign. Second, people’s levels of tolerance consistently and powerfully influence how they assess negative messages. Third, the relevance and civility of negative messages consistently influence citizens’ assessments of candidates competing for office. That is, negative messages focusing on relevant topics and utilizing an uncivil tone produce significant changes in people’s impressions of the candidates. Furthermore, people’s tolerance of negativity influences their susceptibility to negative campaigning. Specifically, relevant and uncivil messages are most influential for people who are least tolerant of negative campaigning. The relevance and civility of campaign messages also alter people’s likelihood of voting, and the impact of negative messages on turnout is more consequential for people with less tolerance of negativity.

scholarly journals The Impact of the COVID-19 Pandemic on the Working Conditions, Employment, Career Development and Well-Being of Refugee Researchers

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 71
Author(s):  
Ourania Tzoraki ◽  
Svetlana Dimitrova ◽  
Marin Barzakov ◽  
Saad Yaseen ◽  
Vasilis Gavalas ◽  
...  
Keyword(s):  
Online Survey ◽  
Negative Impact ◽  
Well Being ◽  
Appropriate Technology ◽  
Public Authorities ◽  
Policy Makers ◽  
Home Setting ◽  
The Public ◽  
Work From Home ◽  
The Impact

The ongoing ‘refugee crisis’ of the past years has led to the migration of refugee researchers (RRs) to European countries. Due to the COVID-19 pandemic, RRs often had to work from home and/or to continue their social, cultural and economic integration process under new conditions. An online survey carried out to explore the impact of the pandemic on the refugee researchers showed that RRs found it difficult to adapt their everyday working life to the ‘home’ setting. The majority have had neither a suitable work environment at home nor the appropriate technology. Although they stated that they are rather pleased with the measures taken by the public authorities, they expressed concern about their vulnerability due to their precarious contracts and the bureaucratic asylum procedures, as the pandemic has had a negative impact on these major issues. The majority of RRs working in academia seem not to have been affected at all as far as their income is concerned, while the majority of those employed in other sectors became unemployed during the pandemic (58%). Recommendations are provided to the public authorities and policy makers to assist RRs to mitigate the consequences of the pandemic on their life.

Household and Population-Level Behavioural Changes Due to COVID-19 Pandemic: A Smart Thermostat Based Comparative Data Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 1-6
Author(s):  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Niloofar Jalali ◽  
Plinio P. Morita
Keyword(s):  
Data Analysis ◽  
Population Level ◽  
World Health ◽  
Motion Sensors ◽  
Household Level ◽  
Work From Home ◽  
Significant Difference ◽  
Health Organization ◽  
Smart Thermostat ◽  
The Impact

The World Health Organization declared the coronavirus outbreak as a pandemic on March 11, 2020. To inhibit the spread of COVID-19, governments around the globe, including Canada, have implemented physical distancing and lockdown measures, including a work-from-home policy. Canada in 2020 has developed a 24-Hour Movement Guideline for all ages laying guidance on the ideal amount of physical activity, sedentary behaviour, and sleep (PASS) for an individual in a day. The purpose of this study was to investigate changes on the household and population-level in lifestyle behaviours (PASS) and time spent indoors at the household level, following the implementation of physical distancing protocols and stay-at-home guidelines. For this study, we used 2019 and 2020 data from ecobee, a Canadian smart Wi-Fi thermostat company, through the Donate Your Data (DYD) program. Using motion sensors data, we quantified the amount of sleep by using the absence of movement, and similarly, increased sensor activation to show a longer duration of household occupancy. The key findings of this study were; during the COVID-19 pandemic, overall household-level activity increased significantly compared to pre-pandemic times, there was no significant difference between household-level behaviours between weekdays and weekends during the pandemic, average sleep duration has not changed, but the pattern of sleep behaviour significantly changed, specifically, bedtime and wake up time delayed, indoor time spent has been increased and outdoor time significantly reduced. Our data analysis shows the feasibility of using big data to monitor the impact of the COVID-19 pandemic on the household and population-level behaviours and patterns of change.

scholarly journals The Impact of Managers and Network Interactions on the Integration of Circularity in Business Strategy

2021 ◽  
pp. 108602662199463
Author(s):  
Manon Eikelenboom ◽  
Gjalt de Jong
Keyword(s):  
The Netherlands ◽  
Survey Data ◽  
Empirical Research ◽  
Indirect Effect ◽  
Business Strategy ◽  
Business Processes ◽  
Core Business ◽  
Organizational Attributes ◽  
Positive Direct ◽  
The Impact

Integrating circularity in business strategy is difficult to achieve for companies as it requires impactful changes in core business processes. While research has focused on identifying key barriers, little is known about the organizational attributes that can assist businesses in integrating circularity in their strategies. The purpose of this study is to investigate the implications of organizational managers and network interactions for the integration of circularity in business strategy. Through using survey data from 627 SMEs (small- and medium-sized enterprises) in the Netherlands, this study shows that managers who interpret circularity as an opportunity can have a positive direct and indirect effect on the integration of circularity in a company’s strategy. The results furthermore highlight the importance of circular network interactions for the integration of circularity in business strategy. This article contributes to recent calls for more empirical research into the integration of circularity and offers relevant insights for companies aiming to integrate circularity.

Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach

2021 ◽  
pp. 000276422110216
Author(s):  
Kazimierz M. Slomczynski ◽  
Irina Tomescu-Dubrow ◽  
Ilona Wysmulek
Keyword(s):  
Data Processing ◽  
Data Quality ◽  
Survey Data ◽  
A Priori ◽  
Data Sets ◽  
New Approach ◽  
Survey Quality ◽  
Survey Error ◽  
Ex Post ◽  
The Impact

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.

scholarly journals Detection of Unknown DDoS Attacks with Deep Learning and Gaussian Mixture Model

2021 ◽  
Vol 11 (11) ◽  
pp. 5213
Author(s):  
Chin-Shiuh Shieh ◽  
Wan-Wei Lin ◽  
Thanh-Tuan Nguyen ◽  
Chi-Hong Chen ◽  
Mong-Fong Horng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Denial Of Service ◽  
Gaussian Mixture ◽  
Mitigation Measures ◽  
Distribution Model ◽  
Ddos Attacks ◽  
Open Set ◽  
The Impact

DDoS (Distributed Denial of Service) attacks have become a pressing threat to the security and integrity of computer networks and information systems, which are indispensable infrastructures of modern times. The detection of DDoS attacks is a challenging issue before any mitigation measures can be taken. ML/DL (Machine Learning/Deep Learning) has been applied to the detection of DDoS attacks with satisfactory achievement. However, full-scale success is still beyond reach due to an inherent problem with ML/DL-based systems—the so-called Open Set Recognition (OSR) problem. This is a problem where an ML/DL-based system fails to deal with new instances not drawn from the distribution model of the training data. This problem is particularly profound in detecting DDoS attacks since DDoS attacks’ technology keeps evolving and has changing traffic characteristics. This study investigates the impact of the OSR problem on the detection of DDoS attacks. In response to this problem, we propose a new DDoS detection framework featuring Bi-Directional Long Short-Term Memory (BI-LSTM), a Gaussian Mixture Model (GMM), and incremental learning. Unknown traffic captured by the GMM are subject to discrimination and labeling by traffic engineers, and then fed back to the framework as additional training samples. Using the data sets CIC-IDS2017 and CIC-DDoS2019 for training, testing, and evaluation, experiment results show that the proposed BI-LSTM-GMM can achieve recall, precision, and accuracy up to 94%. Experiments reveal that the proposed framework can be a promising solution to the detection of unknown DDoS attacks.

scholarly journals The resiliency of employees with intellectual and developmental disabilities during the COVID-19 pandemic and economic shutdown: A retrospective review of employment files

2020 ◽  
pp. 1-10
Author(s):  
Carol Schall ◽  
Valerie Brooke ◽  
Rachael Rounds ◽  
April Lynch
Keyword(s):  
Employment Status ◽  
Food Service ◽  
People Of Color ◽  
Hourly Wage ◽  
Intellectual And Developmental Disabilities ◽  
Hours Worked ◽  
Intellectual And Developmental Disability ◽  
Work From Home ◽  
Integrated Employment ◽  
The Impact

BACKGROUND: While the health and economic impact of COVID-19 is becoming better known among the general population, little is known about the impact of the pandemic and recession on employees with intellectual and developmental disability (IDD). PURPOSE: The purpose of this paper is to examine the impact of the COVID-19 pandemic and subsequent recession on individuals with IDD. METHODS: The present paper described the impact of COVID-19 pandemic and recession on the employment status, hours worked, and hourly wage of 156 individuals with IDD who work in competitive integrated employment for February to July 2020. These findings are compared with a similar group receiving services from the same agency in February to July 2019. RESULTS: Findings indicate that these employees were not able to work from home and experienced furlough or lay off instead. Further, the number of hours worked monthly was also significantly affected. Wages were not affected by the pandemic and recession. Employees in some industries, notably health care and distribution and supplies, were less affected than employees in other industries like food service, retail, and entertainment. Finally, and surprisingly, black, indigenous, and other people of color worked more hours monthly than their white peers in both 2019 and 2020. CONCLUSION: Implications of these findings are discussed.

scholarly journals The Long-Term Impact of Different Offline Population Inclusion Strategies in Probability-Based Online Panels: Evidence From the German Internet Panel and the GESIS Panel

2021 ◽  
pp. 089443932098413
Author(s):  
Carina Cornesse ◽  
Ines Schaurer
Keyword(s):  
Survey Data ◽  
Positive Impact ◽  
Alternative Mode ◽  
Mail Surveys ◽  
Internet Users ◽  
Online Panels ◽  
Long Term Impact ◽  
The Impact ◽  
Postal Mail

While online panels offer numerous advantages, they are often criticized for excluding the offline population. Therefore, some probability-based online panels have developed offline population inclusion strategies. Two dominant approaches prevail: providing internet equipment and offering an alternative survey participation mode. We investigate the impact of these approaches on two probability-based online panels in Germany: the German Internet Panel, which provides members of the offline population with internet equipment, and the GESIS Panel, which offers members of the offline population to participate via postal mail surveys. In addition, we explore the impact of offering an alternative mode only to non-internet users versus also offering the alternative mode to internet users who are unwilling to provide survey data online. Albeit lower recruitment and/or panel wave participation probabilities among offliners than onliners, we find that including the offline population has a positive long-term impact on sample accuracy in both panels. In the GESIS Panel, the positive impact is particularly strong when offering the alternative participation mode to non-internet users and internet users who are unwilling to provide survey data online.

scholarly journals COVID-19 Pandemic Turns Life-Science Students into “Citizen Scientists”: Data Indicate Multiple Negative Effects of Urbanization on Biota

2021 ◽  
Vol 13 (5) ◽  
pp. 2992
Author(s):  
Jens Schirmel
Keyword(s):  
Citizen Science ◽  
Online Teaching ◽  
Teaching Strategy ◽  
Ecosystem Functions ◽  
Negative Effects ◽  
Ecological Data ◽  
Pollinating Insects ◽  
Impact Of Urbanization ◽  
Data Collections ◽  
The Impact

The COVID-19 pandemic and its restrictions strongly affect the higher education community and require diverse teaching strategies. We designed a course where we combined online teaching with independently conducted ecological data collections by students using a “citizen science” approach. The aim was to analyze the impact of urbanization on biota by comparing urban and rural grasslands. Seventy-five students successfully conducted the data collections and the results provide evidence for prevailing negative effects of urbanization. Individual numbers of ground-dwelling invertebrates (−25%) and pollinating insects (−33%) were generally lower in urban sites. Moreover, animal and seed predation were reduced in urban grasslands, indicating the potential of urbanization to alter ecosystem functions. Despite the general limitations of online teaching and citizen science approaches, outcomes of this course showed this combination can be a useful teaching strategy, which is why this approach could be used to more actively involve students in scientific research.

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