scholarly journals Aggression in the Workplace Makes Social Distancing Difficult

2021 ◽  
Author(s):  
Keisuke Kokubun ◽  
Yoshinori Yamakawa
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Information Processing ◽  
Negative Correlation ◽  
Physical Proximity ◽  
Social Distancing ◽  
Adverse Conditions ◽  
Occupational Information ◽  
Spread Of Infection ◽  
Mechanical Movement

Abstract Background: The coronavirus disease (COVID-19) is still spreading. While social distancing has attracted attention as a measure to prevent the spread of infection, some occupations find it difficult to practice it. Therefore, we decided to investigate the differences in the ease of practicing social distancing depending on the occupation using the data on O*NET, an occupational information site.Methodology: Eight factors were extracted by performing exploratory factor analysis based on certain rules while eliminating arbitrariness as much as possible: adverse conditions, leadership, information processing, response to aggression, mechanical movement, autonomy, communication with the outside, and horizontal teamwork.Results: Adverse conditions, response to aggression, and horizontal teamwork had a positive correlation with physical proximity, while information processing, mechanical movement, autonomy, and communication with the outside had a negative correlation with it. Furthermore, multiple regression analysis showed that response to aggression, not just teamwork, as assumed in previous studies, had the greatest influence on physical proximity.Conclusion: To maintain social distancing, it is necessary to constrain aggression in the workplace.

scholarly journals Teamwork in the manufacturing workplace may hinder social distance

2020 ◽  
Author(s):  
Keisuke Kokubun
Keyword(s):  
Factor Analysis ◽  
Quality Assurance ◽  
Regression Analysis ◽  
Social Distance ◽  
Manufacturing Industry ◽  
Process Development ◽  
Physical Proximity ◽  
Adverse Conditions ◽  
The Us ◽  
Research Analysis

The spread of new coronavirus (COVID-19) infections show no signs of stopping. Therefore, if the era of With-Colona will continue for a while, we must consider how to deal with this disaster well. The practice of social distance is one of the powerful tools for that purpose. In previous research, analysis of the factors that influence social distance has also been carried out using information from the US occupation information site O*NET. However, they targeted all industries, not specific industries. Therefore, in this paper, we analyzed the factors that influence Physical Proximity in the manufacturing industry, which has a large impact on the economy given the scale of employment. As the method, first, exploratory factor analysis is performed using O*NET information, and the extracted 7 variables, Sitting Work, Adverse Conditions, Information Processing, Bridging Work, Teamwork, Response to Aggression, and Intelligent Work, are used in the regression analysis. As a result, it was shown that Teamwork is the biggest factor that influences Physical Proximity. Also, Adverse Conditions and Response to Aggression showed a positive correlation and Sitting Work showed a negative correlation. By job type, Maintenance, Installation & Repair tended to have higher Physical Proximity than Manufacturing Production Process Development, Production & Quality Assurance.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

“Little Plants in the Country”: Henry Ford's Village Industries and the Beginning of Decentralized Technology in Modern America

Prospects ◽  
1988 ◽  
Vol 13 ◽  
pp. 181-223 ◽  
Author(s):  
Howard P. Segal
Keyword(s):  
United States ◽  
Decision Making ◽  
New York ◽  
Information Processing ◽  
Real Estate ◽  
New York Times ◽  
The United States ◽  
Physical Proximity ◽  
The World ◽  
Word Processors

“Technology Spurs Decentralization Across the Country.” So reads a 1984 New York Times article on real-estate trends in the United States. The contemporary revolution in information processing and transmittal now allows large businesses and other institutions to disperse their offices and other facilities across the country, even across the world, without loss of the policy- and decision-making abilities formerly requiring regular physical proximity. Thanks to computers, word processors, and the like, decentralization has become a fact of life in America and other highly technological societies.

scholarly journals The Impact of Work Characteristics on Social Distancing: Implications at the Time of COVID-19

2021 ◽  
Vol 18 (10) ◽  
pp. 5074
Author(s):  
Keisuke Kokubun ◽  
Yoshinori Yamakawa
Keyword(s):  
Information Processing ◽  
Multiple Regression ◽  
Explanatory Power ◽  
Work Conditions ◽  
Multiple Regression Model ◽  
Social Characteristics ◽  
Work Characteristics ◽  
Social Distancing ◽  
Using Data ◽  
The Impact

The coronavirus disease (COVID-19) continues to spread globally. While social distancing has attracted attention as a measure to prevent the spread of infection, some occupations find it difficult to implement. Therefore, this study aims to investigate the relationship between work characteristics and social distancing using data available on O*NET, an occupational information site. A total of eight factors were extracted by performing an exploratory factor analysis: work conditions, supervisory work, information processing, response to aggression, specialization, autonomy, interaction outside the organization, and interdependence. A multiple regression analysis showed that interdependence, response to aggression, and interaction outside the organization, which are categorized as ”social characteristics,” and information processing and specialization, which are categorized as “knowledge characteristics,” were associated with physical proximity. Furthermore, we added customer, which represents contact with the customer, and remote working, which represents a small amount of outdoor activity, to our multiple regression model, and confirmed that they increased the explanatory power of the model. This suggests that those who work under interdependence, face aggression, and engage in outside activities, and/or have frequent contact with customers, little interaction outside the organization, and little information processing will have the most difficulty in maintaining social distancing.

scholarly journals Is Emotional Intelligence Correlated With Values Among Primary Schoolers?

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110207
Author(s):  
Kerem Coskun ◽  
Ozlem Ulu Kalin ◽  
Arcan Aydemir
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Regression Analysis ◽  
Primary School ◽  
School Children ◽  
Pearson Correlation ◽  
Relevant Literature ◽  
Primary School Children ◽  
Intelligence Scale ◽  
Confirmatory Factor

The present study sought to develop a scale to measure the values adoption of primary school children and explore whether emotional intelligence of primary school children is associated with values which are taught through curricular activities. First, the Value Adoption Scale (VAS) was developed in Study 1 by conducting exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) and correlation was examined in Study 2. Data were collected using the Ten Years Emotional Intelligence Scale (TYEIS) and the Value Scale consisting of eight items. Data were analyzed with Pearson correlation coefficient and regression analysis. Results of data analysis indicated that there was a moderate correlation between emotional intelligence and values, but regression analysis revealed that emotional intelligence had weak predictive power for values adoption. It was concluded that teaching values through curricular activities is not useful to foster emotional intelligence among primary school children. Results of the research are discussed and addressed along with the relevant literature.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

scholarly journals The Effect of Nepotism on Organizational Silence, Alienation and Commitment: A Study on Hotel Employees in Turkey

2015 ◽  
Vol 7 (4) ◽  
pp. 82 ◽  
Author(s):  
Elbeyi Pelit ◽  
Füsun İstanbullu Dinçer ◽  
İbrahim Kılıç
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Standard Deviation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Group Factor ◽  
Correlation And Regression Analysis ◽  
Hotel Employees ◽  
Organizational Silence ◽  
Study Results

<p>The aim of this study is to determine the effect of nepotism on organizational silence, alienation and commitment. As a data collecting method a questionnaire which contains nepotism, organizational silence, alienation and commitment scales was used. It was applied on 662 employees working in 30 five star hotels in Turkey. Since nepotism covers the practices in establishments in which family-relative relations are concentrated, the hotels included in the sampling group have been selected from establishments whose proprietors are a part of a family/family group. Factor analysis, Cronbach’s Alpha, mean, standard deviation, correlation and regression analysis were used to analyze the acquired data. The study results revealed that nepotism has a positive relationship with organizational silence and alienation and a negative relationship with organizational commitment. </p>

Determinants of Internet Use by Senior Generation

2016 ◽  
Vol 12 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Olfa Bouzaabia ◽  
Rym Bouzaabia ◽  
Alexandru Capatina
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Internet Use ◽  
Senior Citizens ◽  
Research Data ◽  
Cultural Backgrounds ◽  
Confirmatory Factor ◽  
Cognitive Age

The aim of this paper is to investigate and compare the determinants of Internet use by senior generation among Tunisian and Romanian context that have different economic and cultural backgrounds. Research data were taken from a survey carried out on 400 online senior citizens (200 Tunisian and 200 Romanian). Data were analyzed by using confirmatory factor analysis and multiple regression analysis. Results show that cognitive age, Familial Loneliness and Social Anxiety have a significant effect on internet use for surfing and seeking information and not for buying. It was also found in the Romania sample the most determinant of internet use was Familial loneliness, while, social Anxiety was the most determinant of internet use, in the Tunisian sample.

scholarly journals THE EFFECTS OF PSYCHOLOGICAL CAPITAL, PERSONALITY ON HOTEL STAFF WORKING ENGAGEMENT AT HO CHI MINH CITY

2020 ◽  
Vol 1 (37) ◽  
pp. 12-23
Author(s):  
Giao Khanh Nam Ha ◽  
Anh Diep Tram Huynh ◽  
Ngan Thi Kim Nguyen ◽  
Tung Son Nguyen ◽  
Phuc Pham Hanh Nguyen ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Psychological Capital ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Ho Chi Minh City ◽  
Viet Nam ◽  
Research Outcomes

The research was conducted to determine the effects of psychological capital on the personality on hotel staff working in an engagement setting in Ho Chi Minh City, Viet Nam. Data was collected by surveying 378 staffs who are working in hotels in Ho Chi Minh City which are rated 3 stars or more. Descriptive analysis, exploratory factor analysis, and linear regression analysis were used with SPSS 20 statistical package for data analysis. The results show that all psychological capital factors, including hope, efficacy, resilience and optimism have hadpositive impacts on hotel staffs’ work ethic. The study also demonstrated the effects of personality on the hotel staffs’ engagement with their work. The research outcomes suggest some managerial solutions to management problems by adapting psychological capital data and to take into consideration the personality of staff to enhance employees  working in engagement settings in Ho Chi Minh City.

scholarly journals An Empirical Study to Determine the Role of Credit in the Betterment of the Farmers’ Life: A Study with Special Reference to Cachar District of Assam

2021 ◽  
Vol 6 (1) ◽  
pp. 36-47
Author(s):  
Subhash Sinha ◽  
Vanlalchhawna
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Financial Institutions ◽  
Statistical Tools ◽  
Agricultural Credit ◽  
Rural People ◽  
Rural Sector ◽  
The Impact ◽  
Structured Questionnaire

The study focuses on the significance of agricultural credit that can bring change in the life of farmers and rural people. The rural sector is mostly neglected and lacks adequate finance that’s needed to back the sector. However, there are certain financial institutions that work for the welfare of the sector and lend credit facilities to farmers and associated people, for their wellbeing. The current study majorly recognizes the impact and benefits of these credit facilities in improving the situation of farmers at several unnoticed places, including Cachar district. The present study is exploratory in nature. It has explored the role of credit in farmer’s life. The data was collected through a structured questionnaire from 283farmers of Cachar district. The statistical tools applied for the study were “Exploratory Factor Analysis (EFA)”, and “Multiple regression analysis.” The factors identified were Economic Development, Agro Development and Family and Social Development. It was found that there is a significant role of credit in the development of all the three factors.

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