scholarly journals YouTube Channel Adoption By the Independent Luxury Hotels in Canada and the United States

2021 ◽  
Author(s):  
Nahid Shah
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Organizational Factors ◽  
The United States ◽  
Factors Affecting ◽  
Luxury Hotels ◽  
The Us ◽  
Toe Framework ◽  
Essential Contribution

The purpose of this study was to examine factors affecting YouTube channel adoption by independent luxury hotels in Canada and the United States (US). Using a sample of 651 independent luxury hotels in Canada and the US from Smith Travel Research (STR), we tested for YouTube channel adoption. The study used organizational factors of Technology-OrganizationEnvironment (TOE) framework and examined five different hotel characteristics; 1) year built, 2) location, 3) size, 4) facilities and 5) room rate. Multiple regression analysis was used to test the relationships between the five different hotel factors and YouTube channel adoption. Results revealed that only size and facilities (golf, convention rooms and spa) were significantly associated with the adoption of a YouTube channel. This research was the first initiative to explore a relationship between hotel characteristics and YouTube channel adoption by hotels. This study made an essential contribution advancing the knowledge on what factors influence YouTube channel adoption by hotels.

scholarly journals YouTube Channel Adoption By the Independent Luxury Hotels in Canada and the United States

2021 ◽  
Author(s):  
Nahid Shah
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Organizational Factors ◽  
The United States ◽  
Factors Affecting ◽  
Luxury Hotels ◽  
The Us ◽  
Toe Framework ◽  
Essential Contribution

The purpose of this study was to examine factors affecting YouTube channel adoption by independent luxury hotels in Canada and the United States (US). Using a sample of 651 independent luxury hotels in Canada and the US from Smith Travel Research (STR), we tested for YouTube channel adoption. The study used organizational factors of Technology-OrganizationEnvironment (TOE) framework and examined five different hotel characteristics; 1) year built, 2) location, 3) size, 4) facilities and 5) room rate. Multiple regression analysis was used to test the relationships between the five different hotel factors and YouTube channel adoption. Results revealed that only size and facilities (golf, convention rooms and spa) were significantly associated with the adoption of a YouTube channel. This research was the first initiative to explore a relationship between hotel characteristics and YouTube channel adoption by hotels. This study made an essential contribution advancing the knowledge on what factors influence YouTube channel adoption by hotels.

scholarly journals Investigating the Moderating Effects of Social Wellbeing on the Relationship between Brand Identity and Fan Loyalty amongst Soccer Fans in America

2021 ◽  
Vol 05 (01) ◽  
Author(s):  
J P Vansgaard ◽  
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
The United States ◽  
Brand Identity ◽  
Moderating Effects ◽  
Professional Soccer ◽  
Social Wellbeing ◽  
Soccer Fans ◽  
The Relationship

This study builds on Funk and James (2001) and Bauer et al.'s (2008) attempts at modeling the relationship between brand identity and fan loyalty by examining the relationship in the context of fans of professional soccer in the United States. Social wellbeing is introduced into the model, answering the question "What are the moderating effects of social wellbeing on the relationship between brand identity and fan loyalty amongst fans of MLS?". A multiple regression analysis was done to verify the conceptual pathway delineated by Bauer et al. The results showed that the model accounted for 40.6% of the variance (R2 = .406) and the model encompassing both non-product and product related attributes did significantly predict fan loyalty, F (2,26) = 9.341, p = .000. Additionally, non-product related attributes contributed significantly to the modelB (B = .034, p = .475) while product attributes did not. Implications of the results are discussed.

Issues Associated with International Incarceration Rates

1994 ◽  
Vol 75 (3_suppl) ◽  
pp. 1491-1495 ◽  
Author(s):  
David J. Krus ◽  
Lenore S. Hoehl
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
National Income ◽  
The United States ◽  
Unequal Distribution ◽  
National Policies ◽  
Computer Aided

Issues associated with international rates of incarceration were discussed from the perspective of national policies and cultural and societal characteristics, contrasting Japan which has one of the lowest incarceration rates and the United States which imprisons more of its citizens than any other nation but Russia. A computer-aided search of 50,000 records on 30 nations was followed by multiple regression analysis indicating that, jointly, unequal distribution of national income and disintegration of family are principal determinants of incarceration rates.

scholarly journals Analyzing the Factors Affecting the COVID-19 Risk Level in the US Counties

2021 ◽  
Author(s):  
Samira Ziyadidegan ◽  
Moein Razavi ◽  
Homa Pesarakli ◽  
Amir Hossein Javid
Keyword(s):  
United States ◽  
Rural Areas ◽  
Pearson Correlation ◽  
The United States ◽  
Positive Case ◽  
Risk Level ◽  
Classification Models ◽  
Factors Affecting ◽  
The Us ◽  
Us Counties

The COVID-19 disease spreads swiftly, and nearly three months after the first positive case was confirmed in China, Coronavirus started to spread all over the United States. Some states and counties reported an extremely high number of positive cases and deaths, while some reported too few COVID-19 related cases and mortality. In this paper, the factors that could affect the transmission of COVID-19 and its risk level in different counties have been determined and analyzed. Using Pearson Correlation, K-means clustering, and several classification models, the most critical ones were determined. Results showed that mean temperature, percent of people below poverty, percent of adults with obesity, air pressure, percentage of rural areas, and percent of uninsured people in each county were the most significant and effective attributes.

scholarly journals Study on the In-Depth Reasons and Mechanisms of Globalization and Anti-Globalization

2021 ◽  
Author(s):  
Ma Yisha
Keyword(s):  
United States ◽  
Developed Countries ◽  
The United States ◽  
Performance Study ◽  
Method Performance ◽  
Factors Affecting ◽  
Mechanism Research ◽  
The Us ◽  
Mexico Border ◽  
Trade War

Since the financial crisis in 2008, the U.S. economy has weakened, and the world economy has slowly developed. As the world's leading country, the United States has used many methods to restore the economy. But it does work efficiently. However, there are many issues in developed countries such as domestic social, economic, immigration in the United States/United Kingdom; those are not optimistic. Developed countries have entered a dilemma. The neoliberalism financial system has been unable to move forward. Populists have pointed out that those problems have been causing by globalization. Under the leadership of the Brexit Referendum, President Trump has caused a wave of anti-globalization. Under a series of systems such as the China-US trade war and the US-Mexico border wall repairs, the anti-globalization trend is getting stronger. This article mainly analyzes the in-depth reasons and mechanism research of globalization and anti-globalization alternately—the data obtained from an international method performance study. The results show that anti-globalization is temporary, along with globalization. There are three main factors affecting globalization: the situation of the dominant country, natural disasters, and wars. After so much literature review, I believe that the United States' globalization is gradually weakening, and globalization may return to regionalization under the United States' opposition.

scholarly journals A Review on the Factors Affecting the Use of Offsite Construction in Multifamily Housing in the United States

Buildings ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 5
Author(s):  
Sara Gusmao Brissi ◽  
Luciana Debs ◽  
Emad Elwakil
Keyword(s):  
United States ◽  
The United States ◽  
Housing Construction ◽  
Future Research ◽  
Indoor Environmental Quality ◽  
Multifamily Housing ◽  
Factors Affecting ◽  
Sustainable Housing ◽  
The Us ◽  
Social Environmental

The increasing demand for multifamily housing in the United States requires alternatives for building more affordable and sustainable housing to improve the quality of life for millions of families. Offsite construction (OSC) strategies may be a viable alternative for tackling this problem. Although the use of OSC is significant in the multifamily housing market in the world and it is also very promising in the US, a scarce amount of literature has focused on this topic. The purpose of this study is to identify specific factors that affect decisions on the use of OSC in multifamily housing in the US. Focusing on the sustainability dimensions of construction—social, environmental, and economic—the authors reviewed literature that was published between 2000 and 2019 and identified factors that are related to OSC adoption in general construction, in housing construction, and, more specifically, in multifamily housing construction in the US. Subsequently, a discussion on some important factors affecting decisions on the use of OSC in the American multifamily market is provided. The discussion focused on factors that, although important, have been under explored in the literature that addresses the use of OSC in multifamily projects, especially in the US, which are: customer’s attitude, building performance, and building comfort and indoor environmental quality (IEQ). In addition, a brief discussion regarding the importance of design to the uptake of OSC in multifamily projects is provided. This is one of the first studies dedicated to exploring the social, environmental, and economic factors that affect the use of OSC in multifamily housing in the US. The study also identifies research gaps, which serve as a roadmap for future research.

scholarly journals Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning

2021 ◽  
Author(s):  
Samira Ziyadidegan ◽  
Moein Razavi ◽  
Homa Pesarakli ◽  
Amirhossein Javid ◽  
Madhav Erraguntla
Keyword(s):  
United States ◽  
Wind Speed ◽  
The United States ◽  
County Level ◽  
Classification Models ◽  
Critical Factors ◽  
Factors Affecting ◽  
Innovative Method ◽  
The Us ◽  
Us Counties

Abstract The COVID-19 disease spreads swiftly, and nearly three months after the first positive case was confirmed in China, Coronavirus started to spread all over the United States. Some states and counties reported high number of positive cases and deaths, while some reported lower COVID-19 related cases and mortality. In this paper, the factors that could affect the risk of COVID-19 infection and mortality were analyzed in county level. An innovative method by using K-means clustering and several classification models is utilized to determine the most critical factors. Results showed that mean temperature, percent of people below poverty, percent of adults with obesity, air pressure, population density, wind speed, longitude, and percent of uninsured people were the most significant attributes.

JD-R model on psychological well-being and the moderating effect of job discrimination in the model

2019 ◽  
Vol 43 (3/4) ◽  
pp. 232-249 ◽  
Author(s):  
Yunsoo Lee
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Job Demands ◽  
Well Being ◽  
The United States ◽  
Moderating Effect ◽  
Psychological Well Being ◽  
Content Type ◽  
Job Discrimination

Purpose The purpose of this study was to investigate the moderating effect of chronic job discrimination on the relationships among job demands, job resources, personal resources and psychological well-being among aged workers. Design/methodology/approach This study used “National Survey of Midlife Development in the United States (MIDUS Refresher)” data collected from 862 aged workers in the United States from 2011-2014. A moderated multiple regression analysis was adopted. Findings The results of the multiple regression analysis show that skill discretion, self-esteem, optimism and active coping had positive effects on psychological well-being, while chronic job discrimination had a negative effect on psychological well-being. Co-worker support, supervisor support, job demands and decision-making authority were not significant. Among the interaction terms, the moderating effect between optimism and chronic job discrimination was significant. Originality/value Based on the results, this study offers implications for understanding the effects of job discrimination in the workplace among aged workers and their perceived psychological well-being, in the context of job demands and resources (JD-R) model.

Classroom and School Factors Affecting Mathematics Achievement: A Comparative Study of Australia and the United States Using TIMSS

2002 ◽  
Vol 46 (2) ◽  
pp. 154-171 ◽  
Author(s):  
Stephen Lamb ◽  
Sue Fullarton
Keyword(s):  
United States ◽  
Mathematics Achievement ◽  
Classroom Teacher ◽  
The United States ◽  
School Factors ◽  
Factors Affecting ◽  
Grouping Practices ◽  
The Us ◽  
Organisational Factors

Recent work on differences in mathematics achievement has highlighted the importance of classroom, teacher and school factors. The present study used data from the Third International Mathematics and Science Study (TIMSS) to look at student, classroom and school factors influencing mathematics achievement in Australia and the United States (US). It found that classroom differences account for about one-third of the variation in student achievement in the US and over one-quarter in Australia. Most of the classroom variation in both countries was due to compositional and organisational factors, very little of it due to differences between teachers. This has important implications for policy regarding the improvement of mathematics achievement. It suggests that school systems may gain little by targeting teachers only, and need to give consideration to the role of pupil grouping practices and the effects of tracking and streaming on classroom learning environments.

Power, Conflict, and Effectiveness

2000 ◽  
Vol 5 (1) ◽  
pp. 28-33 ◽  
Author(s):  
M. Afzalur Rahim ◽  
David Antonioni ◽  
Krum Krumov ◽  
Snejana Ilieva
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Interpersonal Conflict ◽  
The United States ◽  
Hierarchical Regression ◽  
Hierarchical Regression Analysis ◽  
Referent Power ◽  
Legitimate Power ◽  
Power Base ◽  
Effectiveness Data

This study investigated the relationships of bases of leader power (coercive, reward, legitimate, expert, and referent) and styles of handling interpersonal conflict (integrating, obliging, dominating, avoiding, and compromising) to subordinates' effectiveness. Data for this study were collected with questionnaires from the United States and Bulgaria and analyzed with hierarchical regression analysis for each country. Results indicated that in the United States referent power base of supervisors and integrating style of handling conflict of subordinates were positively associated with effectiveness. In Bulgaria, legitimate power base of supervisors was positively associated with effectiveness, but the subordinates' conflict styles were not associated with effectiveness.

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