scholarly journals Influential Factors of Tourists’ Satisfaction in Bangladesh: Evidence from Selected Tourism Destinations at Cumilla Region

2020 ◽  
pp. 75-86
Keyword(s):  
Regression Analysis ◽  
Pearson Correlation ◽  
Simple Random Sampling ◽  
Developed Countries ◽  
Influential Factors ◽  
Tourism Industry ◽  
Correlation And Regression Analysis ◽  
Survey Technique ◽  
Tourism Destinations ◽  
Developing And Developed Countries

Tourism is a developing industry around the world. Tourism industry is dynamic as it plays a momentous role in the economy of developing and developed countries. The aim of the study is to understand the influential factors of tourists’ satisfaction with selected tourism destinations at Cumilla region in Bangladesh. Data are collected from 300 visitors’ by survey technique through a designed questionnaire with 5-point Likert scales. Simple random sampling method is used. Data are analyzed using frequency analysis, descriptive statistics, Pearson correlation, and regression analysis. From the results of regression analysis, the study is found that product, promotion, people, and psychical evidence as to the vital factors, which significantly effect tourists’ satisfaction. Therefore, it is suggested that the study creates consciousness among prospective tourists, researchers, academicians, government authorities, tourism businesses, politicians, and all the stakeholders, and also the tourism industry can be benefited knowing the factors of tourists’ satisfaction. Hence, the papers can be helped tourists’ satisfaction advance along with tourism destinations products offer to prospect tourists.

scholarly journals Project Implementation Factors and Performance of Jua-kali Empowerment Programmes in Nairobi, Kenya

2019 ◽  
Vol 2 (1) ◽  
pp. 54
Author(s):  
Nicasio Gicovi Njue ◽  
Angeline Sabina Mulwa ◽  
Dorothy Ndunge Kyalo
Keyword(s):  
Regression Analysis ◽  
Pearson Correlation ◽  
Simple Random Sampling ◽  
Theory Of Constraints ◽  
Project Implementation ◽  
Entrepreneurship Training ◽  
Theory Of Organization ◽  
And Performance ◽  
Survey Designs ◽  
Implementation Factors

The purpose of the study was to examine how project implementation factors (provision of work-space facility, entrepreneurship training and promotion of products) influence the performance of Jua-kali Empowerment Programmes (JEP) in Nairobi County, Kenya. The study was rooted upon theory of constraints and system theory of organization. Both descriptive and correlational survey designs were used in executing the research inquiry. The targeted population was 327 beneficiaries of the JEP in Nairobi County. Using Krejcie and Morgan formula, a sample of 181 beneficiaries was selected. Both simple random sampling and purposive sampling were used to choose the sample elements. Data was gathered using structured questionnaires and informant interview guide. Descriptive statistics like percentages, arithmetic mean and standard deviation as well as inferential statistics regression analysis was used in data analysis. Pearson correlation analysis was used to test relationship between variables and regression analysis was applied in predicting the research model. The reliability of questionnaires was ascertained by Cronbach Alpha Coefficient of reliability (at 0.6668). Fisher (F) tested the research hypothesis at α=0.05 whereby, R= 0.563, R2= 0.317, F (1,145) =5.192 at P=0.000-0.05. Therefore, the null hypothesis was rejected as there was enough evidence to conclude that project implementation factors have significant influence on the performance of Jua-kali Empowerment Programmes. Hence recommendations were made to the implementors of Jua-kali empowerment programmes to ensure that the programmes are not only need based but also implemented in an integrated and coordinated approaches for effective realization of projected deliverables.

THE INFLUENCE OF THE MACROENVIRONMENT ON THE DEVELOPMENT OF THE PRICE OF SHARED AIRBNB ACCOMMODATION

2021 ◽  
pp. 104-137
Author(s):  
Jakub Kóňa
Keyword(s):  
European Union ◽  
Regression Analysis ◽  
Tourism Industry ◽  
Correlation And Regression Analysis ◽  
Tourism Sector ◽  
The World ◽  
European Union Countries ◽  
Macroeconomic Indicators ◽  
Independent Variable ◽  
Comparable Element

The shared economy occupies through shared accommodation a full-featured position in many economies of the world and the extent of its impact can be expressed in various ways. In addition, the price of accommodation appears to be a sufficiently objective, measurable, and comparable element to other statistical instruments of the economic environment. In the article, we use statistical methods of correlation and regression analysis to express the relationships between the dependent variable in the form of the price of shared accommodation in European Union countries and other economic indicators of the macroenvironment and the tourism industry, which thus represent an independent variable. The results signal that shared accommodation prices shows a higher degree of correlation with other indicators of the tourism sector than with other macroeconomic indicators in individual countries. Key words: Shared Economy. Shared Accommodation Prices, Airbnb, Regression and Correlation

scholarly journals Predict the Creativity of the Engineers of Kermanshah Engineering Organization Based on Their Personality Five Factors and Mental Health

2017 ◽  
Vol 19 (2) ◽  
pp. 116
Author(s):  
Somayeh Azami ◽  
Sattar Kaikhavani
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Pearson Correlation ◽  
Physical Symptoms ◽  
Personality Factors ◽  
Correlation And Regression Analysis ◽  
Five Factors ◽  
Spss Software ◽  
Engineering Organization ◽  
Mental Health Factors

Aim: The aim of this study was to predict the creativity of the engineers of Kermanshah Engineering Organization based on their personality and mental health factors. Method: This study was performed with Pearson correlation and multiple regressions, Cranach's Alpha coefficient, SPSS software version 20. A total of 375 engineers were selected based on Morgan table that completed 3 types of questionnaires: Torrance questionnaire (verbal section), (NEO-FFI) questionnaire and GHQ-28 questionnaire. The significant level in this study was considered as 0.05. This study was descriptive and correlation based. The sampling method was random. The study was a descriptive – correlative. Result: Correlation and regression analysis showed that there was a significant relationship between creativity (fluidity, flexibility, innovation, expansion) with five factors of personality (Neuroticism, Extraversion, Conscientiousness, Openness, Agreeableness) and mental health (physical symptoms, anxiety and insomnia, depression, social function).  So regression analysis showed that personality factors (neuroticism, extraversion, flexibility) are better models to predict creativity.

scholarly journals PENGARUH MOTIVASI TERHADAP PRESTASI KERJA KARYAWAN

PARAMETER ◽  
2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Suparno
Keyword(s):  
Regression Analysis ◽  
Job Performance ◽  
Random Sampling ◽  
Work Performance ◽  
Positive Impact ◽  
Employee Performance ◽  
Simple Random Sampling ◽  
Correlation And Regression Analysis ◽  
Type C ◽  
The Relationship

The purpose of this study was to determine the effect of motivation on employee performance of PT Pos Type C Manado. This research uses descriptive quantitative approach to measure and influence the relationship between motivation and job performance. The population in this study amounted to 200 employees, with a simple random sampling which amounts to 50 respondents. Using correlation and regression analysis. The analysis showed that there is a fairly strong correlation between motivation and job performance, as well as the motivation has a positive impact with work performance. Thus, the motivation has a strong relat

Association between professional identity, positive mental character and humanistic caring ability in Chinese clinical nursing students (Preprint)

2020 ◽  
Author(s):  
Lin Lai ◽  
Siqing Ding ◽  
Zhuqing Zhong ◽  
Ping Mao ◽  
Na Sun ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Nursing Students ◽  
Professional Identity ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Influential Factors ◽  
Three Dimensions ◽  
Outcome Variable ◽  
Cross Sectional Survey ◽  
Clinical Nursing

BACKGROUND Humanistic caring ability is one of the core abilities that nurses need to possess. There are few studies on the influential factors that impact humanistic caring ability in clinical nursing students, and on the association between professional identity, positive mental character and humanistic caring ability. OBJECTIVE This study aims to determine the association between professional identity, positive mental character and humanistic caring ability in Chinese clinical nursing students. METHODS The study was a cross-sectional survey. Of 981 clinical nursing students were recruited from hospitals in Changsha, Hunan, China. Self-administered questionnaires were completed, including Humanistic Caring Ability of Nursing Undergraduates Assessment Scale(HCANU), Professional Identity Scale for Nurse Students(PIQNS) and Positive Mental Characters Scale for Chinese College Students(PMCS-CCS). In this study, the level of nursing students’ humanistic caring ability was identified. Pearson correlation analysis was carried out to identify the association between professional identity, positive mental characters and humanistic caring ability for nursing students. Liner regression analysis was performed with humanistic caring ability as the outcome variable in order to confirm factors associated with humanistic caring ability. RESULTS A total of 981 clinical nursing students was recruited. The mean scores of nursing students’ humanistic caring ability, professional identity and positive mental character were 125.94±21.19, 62.32±11.23, 233.18±38.59, respectively. The Pearson correlation results showed that professional identity (r = 0.578, P < 0.001) and positive mental character (r = 0.655, P < 0.001) were significantly associated with humanistic caring ability. Multiple linear regression analysis indicated that education (β = -0.161, P=0.009), three dimensions of professional self-image (β = 0.271, P=0.028), career choice independence (β = 0.228, P<0.001), and social comparison and self-reflection (β = -0.102, P=0.018) in their professional identity as well as three dimensions of courage (β = 0.269, P=0.024), humanity (β = 0.303, P=0.001 ), justice (β = 0.0.253, P=0.004 ) and transcendence (β= 0.004, P=0.036) in positive mental character were found to be independent predictors of humanistic caring ability. CONCLUSIONS This study indicates a significant association between professional identity, positive mental character and humanistic caring ability in clinical nursing students. These results suggest that professional identity and positive mental character are important considerations in the development, implementation and evaluation of humanistic caring ability interventions.

scholarly journals Analysis Of Key Indicators Of The Insurance Market Of Western Europe

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Natalia Sidelnyk
Keyword(s):  
Regression Analysis ◽  
Western Europe ◽  
Developed Countries ◽  
Insurance Market ◽  
Insurance Markets ◽  
General Interest ◽  
The European Union ◽  
Insurance Premiums ◽  
Correlation And Regression Analysis ◽  
Key Indicators

This paper summarizes the arguments and counterarguments within the scientific discussion on the key indicators of the insurance market. The research’s primary purpose is to conduct a comprehensive analysis of the main indicators of the insurance market of Western Europe with the visualization of the results. Insurance markets are adapting to a single trade regime in insurance services. It is formed under the influence of national and regional economic development strategies. The experience of integration in the insurance markets of the European Union shows that not all countries benefit equally from integration processes. The relevance of the decision of this scientific problem is caused by сomparative analysis of the share of European countries in the world market by volume insurance premiums. It showed a broad scope, reflecting the high-level asymmetries in the development of the insurance market, as the most developed to less developed countries of Europe. Investigation of the topic of theoretical principles of insurance in the paper is carried out in the following logical sequence: selection of input indicators; analysis of the dynamics and structure of indicators of the insurance market of Western Europe; research of insurance market indicators using correlation and regression analysis; visualization of the results. The research methods’ methodological tools were basic descriptive statistics, correlation, and regression analysis. The period of research is 2009-2019. Given the results obtained, we can say that the dynamics of change in the studied indicators are abrupt. Some indicators have a clear trend to change, in particular, the share of life insurance. Given the structural analysis, the following results were obtained. The largest share of the country’s insurance market share among OECD countries is observed in the following countries: Germany and France. The Czech Republic and Latvia occupy the smallest share in this indicator. Correlation-regression analysis shows an increase in the total number of insurance premiums (fees for the insurance company’s services) shows an increase in the general interest of the population in insurance services, which will contribute to the growth of all areas of insurance.

scholarly journals Econometric Evaluation of Influential Factors to Increasing Labor Efficiency in Textile Enterprises

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 125-139
Author(s):  
Jamshid Sh. Tukhtabaev ◽  
Barno R. Tillaeva ◽  
Barno S. Razakova ◽  
Gulmira N. Ismagulova ◽  
Islom A. Achilov
Keyword(s):  
Regression Analysis ◽  
Labor Productivity ◽  
Influential Factors ◽  
Correlation And Regression Analysis ◽  
Labor Efficiency ◽  
Factors Influencing

This article analyzes the content of the concept of labor productivity in textile enterprises, the factors influencing its increase, using the methods of "correlation" and "regression" analysis, as well as the forecast indicators of labor productivity.

Influential Factors in the Process of Co-Creation Experiences in the Tourism Industry

2020 ◽  
pp. 1-9
Author(s):  
Serkan Bertan
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Service Providers ◽  
Influential Factors ◽  
Tourism Industry ◽  
Regression Analyses ◽  
Reliability Factor ◽  
The Third ◽  
Questionnaire Form ◽  
Tourism Service

The aim of this study is to analyze the factors that are influential in the process experience co-creation. In line with this purpose, a brief description of the study was given in the questionnaire form which was prepared, based on the literature review and the questionnaire included, questions regarding influential factors in the process of co-creation of experiences. Obtained data were analyzed through reliability, factor, and regression analyses. In the factor analysis, the statements were grouped under four factors: sharing, participant, interest, and interaction. When the influential factors in the process of co-creation were analyzed through regression analysis, the first factor was emphasized to be sharing, and content was found to be important in sharing. The second important factor was found to be the interaction between tourism service providers and tourists. The third important factor was determined as the interest for experiences. The last important factor was found to be the desire to be engaged in experiences.

IMPACT OF PERSON-ORGANIZATION FIT ON JOB CRAFTING: EXAMPLE OF KONYA ORGANIZED INDUSTRIAL ZONE

2021 ◽  
Vol 6 (11) ◽  
pp. 403-414
Author(s):  
İlknur ÇEVİK TEKİN
Keyword(s):  
Regression Analysis ◽  
Simple Random Sampling ◽  
Demographic Variables ◽  
Job Crafting ◽  
Industrial Zone ◽  
Data Set ◽  
Correlation And Regression Analysis ◽  
Package Program ◽  
Person Organization Fit ◽  
Job Competence

The importance given to human resources in organizations is increasing day by day. It is the desired behavior in all organizations for employees to be compatible with the organization and be competent in their work. Employees are attracted and selected by organizations similar to them. In cases where employees work in harmony and exhibit similar characteristics with their organization, the effect of employees' person-organization fit on job crafting has been investigated. For this purpose, data were collected by simple random sampling method from 453 participants working in Konya Organized Industrial Zone and 416 survey data were used within the scope of the research. SPSS 24.0 package program was used in the analysis of the data obtained. For the purpose of the study, frequency analysis, reliability analysis, difference tests (t test and One Way Anova) correlation and regression analysis were applied to the data set. As a result of the study, significant differences (gender, marital status, age, working time and position) were determined in the perceptions of employees' personal-organizational harmony and job competence according to some demographic variables. With correlation analysis, a positive and significant relationship was found above the middle in the variables of person-organization fit and job crafting, and as a result of the regression analysis, a positive and significant effect of person-organization fit on job crafting was found.

scholarly journals Innovative infrastructure development prospects of Southeast Asia countries and Ukraine in the context of the new industrial revolution

2019 ◽  
Keyword(s):  
Regression Analysis ◽  
Southeast Asia ◽  
East Asia ◽  
Trend Analysis ◽  
Industrial Revolution ◽  
Innovation Policy ◽  
Developed Countries ◽  
South East Asia ◽  
Correlation And Regression Analysis ◽  
Innovation Infrastructure

In the global economy, the foundation of which is increasingly knowledge, the innovation infrastructure becomes the engine of economic growth, it will become the lever that will help transform the economic recovery into long-term growth. The purpose of the article is to analyze the characteristics of the development of the innovation infrastructure of the leading countries of Southeast Asia and to develop recommendations for Ukraine in the context of the new industrial revolution. The article has set and solved the following tasks: to analyze the features of the transformation of the innovation infrastructure in the countries-technological leaders in the conditions of the new industrial revolution both in Southeast Asia and in other developed countries; explore the features of innovation policy and infrastructure of the leading countries of Southeast Asia on the example of Japan, South Korea and China; perform correlation and regression analysis for modeling and forecasting the development of the innovation potential of the countries of Southeast Asia and Ukraine; to assess the prospects for the development of innovation infrastructure in the countries of South-East Asia and to develop recommendations for Ukraine in the conditions of the new industrial revolution. The research methodology includes the processing and study of statistical information, the implementation of trend analysis, the calculation of the model of development of innovative potential by the method of correlation and regression analysis. The results of the trend analysis showed that from Ukraine and the leading countries of Southeast Asia, China has the best prospects for the development of innovative infrastructure. During the correlation-regression analysis, the strongest dependence was revealed when calculating indicators for China between GDP and indicators of the Innovation Infrastructure group. Prospects for the implementation of a new industrial revolution in the leading countries of South-East Asia and Ukraine were identified and recommendations for Ukraine were developed. Conclusions. For the successful development of the innovation infrastructure in Ukraine, the following measures can be applied: attracting investment in R & D and innovation centers; attracting universities to research and development; strengthening environmental policy; concentration of innovation in industry; development of the IT sector.

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