scholarly journals Perceptions, knowledge and self-defense behaviors regarding COVID-19 among employees at Rajamangala University of Technology Thanyaburi, Thailand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Issara Siramaneerat
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Prevention And Control ◽  
Statistical Significance ◽  
Preventive Behaviors ◽  
Content Type ◽  
Self Defense ◽  
University Of Technology ◽  
And Control

PurposeThis research aims to study self-defense behaviors from coronavirus disease 2019 (COVID-19) and to investigate factors affecting the prevention and control behavior of COVID-19 among personnel at Rajamangala University of Technology Thanyaburi.Design/methodology/approachThe sample was 405 personnel of Rajamangala University of Technology Thanyaburi. The sample was calculated by using the Yamane formula at a confidence level of 95. The researcher collected the data between July 1 and 15, 2020. Questionnaire items were developed following the health belief model (HBM). The questionnaire contains basic information, knowledge of COVID-19, perception of COVID-19 and COVID-19 preventive behaviors. Data were analyzed by descriptive statistics, correlation coefficients and multiple regression analysis at the statistical significance level of 0.05.FindingsThe results showed that the sample had an average knowledge about COVID-19 of 8.93, the perceived of risk and severity of COVID-19 was presented average of 4.22 and 3.48. The perceived of benefits and barriers of COVID-19 showed average of 4.31 and 2.72 and mean of COVID-19 prevention and control behaviors was 2.41. The multiple regression analysis showed that the model can explain the various self-defense behaviors from COVID-19 of 11.30%. Perception of the benefits of COVID-19 had a statistically significant effect on self-defense behaviors from COVID-19 at the level 0.05 (Beta = 0.232, 95% CI: 1.233–3.395, p < 0.001).Originality/valueBased on the results, the relationship between HBM and COVID-19 prevention behavior can be clearly seen. This study found the perception of benefit toward COVID-19 affected prevention practice. Thus, using HBM could be useful in improving preventive behaviors of COVID-19.

The Relationship Between The Perception of Elderly’s Health Status and Health Behaviors in Nakhon Nayok Province, Thailand

2019 ◽  
Vol 12 (1) ◽  
pp. 420-423
Author(s):  
Prapada Watcharanat ◽  
Prasong Tanpichai ◽  
Ravee Sajjasophon
Keyword(s):  
Regression Analysis ◽  
Health Status ◽  
Health Behaviors ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Statistical Significance ◽  
The Elderly ◽  
Cross Sectional ◽  
Congenital Diseases ◽  
The Relationship

Purpose: This research aims to study the relationship between perception of elderly’s health and health behaviors in Nakhon Nayok province, Thailand Methods: This research was a cross-sectional study. The questionnaire was used to collect the data. This research was conducted in Nakhon Nayok province. The sample size was 270 which applied Taro Yamane's formula at a significant level 0.05. The descriptive statistics was implemented to describe the variables by presenting the frequency, percentage, mean and standard deviation. Furthermore, multiple regression analysis was applied to analyze the relationship between perception of elderly’s health and health behaviors. The statistical significance was considered to reject Hypothesis-null at < 0.05. Results: From a total of 270 people, more than 58.22% of the elderly perceived that they had moderate health conditions. Most elderly had congenital diseases (62.2%). The multiple regression analysis results showed that health status perception and health status perception when compared to their cohort related significantly to health behavior. Conclusion: The government should support the elderly on participation, trust, engagement, and cultural concern of the people in the community, which can contribute to promoting the physical, mental and social condition of the elderly.

Beyond national culture difference

2019 ◽  
Vol 26 (7) ◽  
pp. 1476-1497 ◽  
Author(s):  
Zhipeng Cui ◽  
Junying Liu ◽  
Bo Xia ◽  
Yaxiao Cheng
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
National Culture ◽  
Information Exchange ◽  
Cultural Intelligence ◽  
Content Type ◽  
International Construction ◽  
Culture Difference ◽  
Practical Implications

PurposeInternational construction joint ventures (ICJVs) have been widely used as a temporary arrangement in many projects all over the world, especially in megaprojects. Within ICJVs, the national culture difference between partners affects their cooperation significantly. However, prior research has provided contradictory empirical evidence regarding these impacts. To address this problem, the purpose of this paper is to introduce cultural intelligence that judges an individual’s capability to function and manage effectively in culturally diverse settings as a moderating variable.Design/methodology/approachMultiple regression analysis and moderated multiple regression were undertaken to test proposed hypotheses. A questionnaire survey was conducted with international construction practitioners who had experiences of managing or participating in ICJVs.FindingsThe result of multiple regression analysis revealed that difference in national culture has significant negative effects on information exchange, shared problem solving and flexibility when asking for changes, thus effecting cooperation within ICJVs. Meanwhile, cultural intelligence of members can weaken these negative influences.Practical implicationsFirst, given that national culture difference affects negatively on the cooperation within ICJVs, it needs to be regarded as one of vital resources of risk which should be prevented and managed when attending ICJVs; Second, managers should build a series of mutually agreeable regulations and rules to lessen the negative effect of national culture difference; Third, it is recommended that ICJV management teams contain as many work-experienced members as possible and members within ICJVs, especially new staff, receive cross-cultural training termly to facilitate the cooperation between partners.Originality/valueThis research reveals the moderating effects of cultural intelligence on the relationship between national culture difference and cooperation in ICJVs as well as provides practical implications for ICJV managers to deal with national culture difference and reduce its negative impact on cooperation within ICJVs.

The relationship between local residents’ perceptions of tourism and their happiness: a case of Kusadasi, Turkey

2015 ◽  
Vol 70 (3) ◽  
pp. 232-242 ◽  
Author(s):  
Ahmet Bulent Ozturk ◽  
Ozgur Ozer ◽  
Uğur Çaliskan
Keyword(s):  
Regression Analysis ◽  
Environmental Impact ◽  
Economic Impact ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Content Type ◽  
Positive Economic ◽  
Local Residents ◽  
The Relationship ◽  
Residents Attitudes

Purpose – The purpose of this study was to determine the local residents’ attitudes of tourism in Kusadasi, Turkey. In addition, the relationship between residents’ attitudes toward tourism and their overall perceived happiness was analyzed. Design/methodology/approach – A correlational, quantitative research technique was used in this study. The data of this study were collected from 383 local residents in Kusadasi, Turkey. Exploratory factor analysis and multiple regression analysis were conducted to analyze the data. Findings – The results of the study indicated that local residents had favorable attitudes toward tourism in terms of its positive economic, cultural and environmental impact. Study results also indicated that negative economic impact of tourism was found to be the least favorable construct associated with residents’ attitudes toward tourism in Kusadasi. In addition, multiple regression analysis indicated that local residents’ perceived overall happiness was significantly influenced by positive and negative cultural and environmental impact and positive economic impact factors. Originality/value – The findings of the study provide valuable information to tourism planners and decision makers seeking to build a resident friendly tourism destination in Kusadasi, Turkey.

Identifying the performance areas affecting the project performance for Indian construction projects

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prachi Vinod Ingle ◽  
Gangadhar Mahesh ◽  
Deepak M.D.
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Construction Industry ◽  
Construction Projects ◽  
Management Practices ◽  
Customer Relations ◽  
Project Performance ◽  
Content Type ◽  
Significant Performance

Purpose The construction industry is facing challenges because of performance shortfalls. Construction projects are highly complex, distinctive, fragmented and do not have well-established performance assessment models to evaluate their project success. The purpose of this paper is to assess the direction through determination of performance areas that would affect project performance in Indian construction projects. Design/methodology/approach A survey instrument was developed to gather data on the perception of industry professionals on these identified areas. Purposive sampling method was used to select respondents for the survey. These performance areas are ranked using relative importance index to ascertain a level of importance among the group. Factor analysis (FA) was conducted to identify the significant performance areas project performance. Further to identify the most influence performance areas on Indian construction projects, multiple regression analysis was carried out. Findings Findings indicated 28 significant performance areas. This shows the low level of adoption of good construction management practices in Indian construction projects. FA resulted in the areas being grouped to nine broad significant performance areas with 59.49% of the total variance, namely, quality, schedule, environment and stakeholder satisfactions, cost, productivity, safety, communication management, customer relations and finance. Multiple regression analysis revealed two pivotal factors “customer relations” and “schedule” that significantly influence project performance in Indian construction industry. Originality/value The outcome of the study will guide project stakeholders, who desire to improve project performance on construction projects, to prioritize their efforts. It also highlights performance areas of project management which required more focussed research in the context of Indian construction projects. The findings can be extended to the developing countries.

Factors influencing academic performance in quantitative courses among undergraduate business students of a public higher education institution

2017 ◽  
Vol 10 (01) ◽  
pp. 12-30 ◽  
Author(s):  
Darwish Abdulrahamn Yousef
Keyword(s):  
Regression Analysis ◽  
Academic Performance ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
English Language ◽  
Business Students ◽  
Teaching Style ◽  
Content Type ◽  
Language And Communication ◽  
Undergraduate Business Students

Purpose This paper aims to investigate the impacts of teaching style, English language and communication and assessment methods on the academic performance of undergraduate business students in introductory quantitative courses such as Statistics for Business 1 and 2, Quantitative Methods for Business, Operations and Production Management and Operations Research in a non-Western setting. Design/methodology/approach Data was collected from 750 undergraduate business students in third- and fourth-year classes at the UAE University (UAEU). Descriptive statistics were used to gain some insights into the demographic and educational characteristics of respondents and their opinions regarding the importance of the three factors of concern to their understanding of quantitative courses material, along with multiple regression analysis that was used to test the hypotheses of the study. Findings The results of the present study indicate the importance of the teaching style in terms of the way the lecturer speaks and the pace of presenting the material, in addition to the structure of the lecture in understanding quantitative course material. Additionally, availability and contents of the material on the course website play an important role in helping undergraduate business students understand the subjects of quantitative courses. The study revealed that the UAEU undergraduate business students are, to some extent, uncomfortable in reading printed textbooks and writing reports on quantitative topics in English. The results of multiple regression analysis revealed that both teaching style and English language and communication have a great influence on the academic performance of UAEU undergraduate business students. Research limitations/implications The paper has a number of limitations. For instance, the sample was taken only from students in a single university. Moreover, this study focuses on the business students and in turn, it excludes students of other colleges. On the other hand, it has a number of implications for administrators, instructors and researchers. Administrators should pay special attention when setting admission standards. Instructors teaching quantitative courses should prepare well-structured lectures and deliver them at a reasonable pace to allow students the time to understand them. They should also pay attention to the way they speak. For researchers, this study will indicate the need for further research to confirm or refute the results of the present study. Originality/value The present study is the first attempt to investigate the impacts of the three factors of concern on the academic performance of undergraduate business students in introductory quantitative courses in a public university setting in the UAE context.

Analyzing the barriers to purchase intentions of energy efficient appliances from consumer perspective

2019 ◽  
Vol 26 (5) ◽  
pp. 1565-1580 ◽  
Author(s):  
Gauri Yogesh Joshi ◽  
Pratima Amol Sheorey ◽  
Aradhana Vikas Gandhi
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Energy Efficient ◽  
Purchase Intention ◽  
Negative Impact ◽  
Negative Relationship ◽  
Content Type ◽  
Intention To Purchase ◽  
Tier 1

Purpose The purpose of this paper is to identify the barriers to consumers’ intention to purchase energy efficient appliances. It uses multiple regression analysis to predict the factors that deter consumers’ purchase intention. Design/methodology/approach Five barriers to consumers’ intention to purchase energy efficient appliances were identified through an exhaustive literature survey. Data were gathered from 300 respondents from Pune city from the state of Maharashtra in India through a survey. The items were measured on a five-point Likert scale. Validity and reliability of the scale were established. Multiple regression analysis was conducted to predict consumers’ intention to purchase energy efficient appliances based on factors identified. Findings Findings revealed that some degree of uncertainty was associated with energy efficient appliance purchase. In addition to possessing lower degrees of awareness on energy efficient appliances, consumers tend to disbelieve claims made on labels of energy efficient appliances. Consumers also feel inconvenience in identifying these appliances, spending time to know about them and paying the price to purchase them. Hence, the factors – scepticism towards label claims and perceived personal inconvenience – were found to have negative impact on consumers’ purchase intention. Societal norm was found to have a positive impact on consumers’ purchase intention. Interestingly, price sensitivity and perceived product risk (which were expected to have a negative relationship with consumers’ purchase intention) displayed a positive relationship. Research limitations/implications The model proposed here is based on the researcher’s identification of the barriers. There might have been unidentified barriers that were not considered. The research does not account for manufacturing or policy-based issues that might also pose as barriers. The study encourages marketers to re-examine marketing and communication policies associated with the sale of energy efficient appliances. Originality/value The paper provides insights into the external barriers faced by consumers while purchasing an energy efficient appliance. This research enables managers to understand consumer’s preference for conventional products over energy efficient ones. It attempts to check the presence of barriers to energy efficient appliances, identified from literature in a tier 1 city of India. Tier 1 city is the city with population greater than 1,00,000 as per 2001 census of India.

scholarly journals Twenty steps towards an adequate inferential interpretation of p-values

2018 ◽  
Author(s):  
Norbert Hirschauer ◽  
Sven Grüner ◽  
Oliver Mußhoff ◽  
Claudia Becker
Keyword(s):  
Regression Analysis ◽  
Bayesian Statistics ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Statistical Significance ◽  
Significance Testing ◽  
Statistical Significance Testing ◽  
P Values ◽  
Logical Consistency ◽  
Categorical Reasoning

We suggest twenty immediately actionable steps to reduce widespread inferential errors related to “statistical significance testing.” Our propositions refer first to the theoretical preconditions for using p-values. They furthermore include wording guidelines as well as structural and operative advice of how to present results, especially in multiple regression analysis. Our propositions aim at fostering the logical consistency of inferential arguments by avoiding false categorical reasoning. They are not aimed at dispensing with p-values or completely replacing frequentist approaches by Bayesian statistics.

scholarly journals Factors Affecting Consumers' Intention to Buy Foreign Brands - An Empirical Survey in Serbia

2020 ◽  
Author(s):  
Dragana Tomašević ◽  
Dragana Gašević ◽  
Marija Vranješ
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Statistical Significance ◽  
Research Question ◽  
Perceived Value ◽  
Business Environment ◽  
Perceived Quality ◽  
Foreign Brands

Abstract: Research question: The purpose of this paper is to analyze the factors that influence consumers' intentions when buying foreign brands, and then the purchase itself. Motivation: The business environment is experiencing an extensive change and it has become very demanding for companies to retain customers as well as market share. Companies must learn to adapt to changes in order to survive in the market, and therefore need to be aware of the needs of their customers and their purchasing decisions. The rise in consumer awareness has led consumers to opt for well-known and high-quality foreign brands. Hence, if companies hope to outperform their competitors, they need to persuade consumers to purchase their products and brands. Idea: The main objective of the research is to be based on previous research in this field to find out whether perceived quality, prestige, perceived value and environmental impact affect the intention of domestic consumers to buy foreign brands, and consequently the purchase of these foreign brands. Data: The survey was conducted on the territory of the Republic of Serbia by means of a questionnaire and included 158 respondents. Data were collected from the respondents electronically during a period of about one month. Tools: Statistical analyses of all collected data (utilizing linear correlation, multiple regression analysis, T-test of sample independence and ANOVA) were used to draw conclusions about the relationships between the observed variables and to determine differences in the mean values between individual categories of respondents in terms of buying foreign brands. Findings: Multiple regression analysis confirmed the statistically significant influence of perceived quality and perceived value on the intention of consumers in Serbia to buy foreign brands. Other factors do not have a statistically significant effect on consumer intention. Also, a simple regression analysis revealed a statistically significant influence of consumer intention on the act of purchase. At the very end of the paper, it was determined that statistically significant differences regarding the purchase of foreign brands existed when respondents were observed by gender and education levels, while age did not have a statistical significance. Contribution: This research has a scientific and practical contribution in terms of collecting information about the factors that influence the consumers` intension to buy foreign brands.

What drives intellectual capital reporting? Evidence from Kuwait

2018 ◽  
Vol 67 (3) ◽  
pp. 571-589
Author(s):  
Mishari M. Alfraih
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Intellectual Capital ◽  
Capital Markets ◽  
Listed Companies ◽  
Industrial Sector ◽  
Annual Reports ◽  
Content Type ◽  
Regulatory Bodies

Purpose Motivated by the increased attention on intellectual capital reporting (ICR) from regulatory bodies, practitioners, and researchers and the recent calls for companies to supplement and complement their traditional financial statements with intellectual capital (IC) disclosure, the purpose of this paper is to investigate the drivers of ICR among the companies listed on the Kuwait Stock Exchange (KSE). Design/methodology/approach Content analysis was applied to the annual reports of all companies listed on the KSE in 2013. A multiple regression analysis was employed to explore the ICR drivers. Findings Despite the growing importance of ICR in capital markets, the study findings reveal an overall relatively low level of ICR among KSE-listed companies. In addition, the level of ICR varies significantly between companies. The results show that the level of ICR for all KSE-listed companies in 2013 ranged from 0 to 96 percent and the mean was 28 percent. The multiple regression analysis suggests that older, highly leveraged, larger, and profitable KSE-listed companies are associated with higher levels of ICR. Industrial sector is a partial driver. Practical implications Surprisingly, many of the KSE-listed companies do not disclose any IC information in their annual reports. Given the increasingly important role that IC information plays in capital markets, regulatory bodies should encourage, stimulate, and guide companies to report IC information. The findings offer insights as to the drivers of ICR that should improve efforts to develop recommendations that push for greater IC disclosure in corporate annual reports. Originality/value The study is the first examination of ICR drivers in Kuwait. It contributes to the literature by providing empirical evidence about ICR in a market with specific economic, social, and cultural characteristics. It enhances our understanding of ICR by revealing some of its drivers.

scholarly journals Twenty steps towards an adequate inferential interpretation of p-values

2017 ◽  
Author(s):  
Norbert Hirschauer ◽  
Oliver Mußhoff ◽  
Claudia Becker ◽  
Sven Grüner
Keyword(s):  
Regression Analysis ◽  
Bayesian Statistics ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Statistical Significance ◽  
Significance Testing ◽  
Statistical Significance Testing ◽  
P Values ◽  
Logical Consistency ◽  
Categorical Reasoning

We suggest twenty immediately actionable steps to reduce widespread inferential errors related to “statistical significance testing.” Our propositions refer first to the theoretical preconditions for using p-values. They furthermore include wording guidelines as well as structural and operative advice of how to present results, especially in multiple regression analysis. Our propositions aim at fostering the logical consistency of inferential arguments by avoiding false categorical reasoning. They are not aimed at dispensing with p-values or completely replacing frequentist approaches by Bayesian statistics.

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