scholarly journals Motivations for attracting customers and their intention to participate in tourism events in Ho Chi Minh City

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Trinh Thuy Anh ◽  
Tran Kiem Viet Thang
Keyword(s):  
Regression Analysis ◽  
Quantitative Method ◽  
Great Influence ◽  
Customer Engagement ◽  
Ho Chi Minh City ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Intention To Participate ◽  
The Impact

The study examines the impact of factors influencing customers’ intention to attend a tourism event, by considering the motivation to attract customers to such an event. The authors collected 230 interview samples from different subjects, then conducted a quantitative method through factor, correlation, and regression analysis. The results show that the motivation to attract customers to tourism events has a great influence on their participating intention. In particular, factors affecting the motivation to take part in the event include influence group, communications, convenience, and content. The analysis results give several suggestions for event organizers to be able to gain more customer engagement.

scholarly journals Factors affecting the satisfaction of companies on service quality in industrial zones in Ho Chi Minh City

2016 ◽  
Vol 19 (4) ◽  
pp. 94-107
Author(s):  
Tinh Phu Tran Do ◽  
Nen Van Nguyen
Keyword(s):  
Regression Analysis ◽  
Service Quality ◽  
Exploratory Analysis ◽  
Ho Chi Minh City ◽  
Regression Estimation ◽  
Factors Affecting ◽  
To Come ◽  
Industrial Zones ◽  
The Impact

The research focuses on exploratory analysis of factors that affect the satisfaction of companies on service quality in industrial zones in Ho Chi Minh City. In addition, regression analysis is implemented to measure the impact of these factors on companies’ satisfaction. The exploratory analysis indicates that four factors that determine service quality of industrial zones in Ho Chi Minh City are: (i) tangibility; (ii) service attitude of the managers and the industrial zones’s investors; (iii) responsiveness; and (iv) empathy. The regression estimation shows that the four factors above affect the satisfaction of companies in the same direction. In particular, tangibility and service attitude of the managers and the industrial zones’s investors have the strongest impacts. These important findings can serve as a ground for industrial zones in Ho Chi Minh City to make appropriate adjustments and for industrial zones which are about to come into operation to have necessary preparations in order to better meet requirements of companies.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

scholarly journals Factors Affecting Secondary Traumatic Stress of Nurses Caring for COVID-19 Patients in South Korea

2021 ◽  
Vol 18 (13) ◽  
pp. 6843
Author(s):  
Mee Sun Lee ◽  
Sujin Shin ◽  
Eunmin Hong
Keyword(s):  
Social Support ◽  
Regression Analysis ◽  
Traumatic Stress ◽  
Secondary Traumatic Stress ◽  
Direct Care ◽  
Hierarchical Regression ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Affect Patient Care ◽  
Significant Factors

The secondary traumatic stress (STS) of nurses caring for COVID-19 patients is expected to be high, and it can adversely affect patient care. The purpose of this study was to examine the degree of STS of nurses caring for COVID-19 patients, and we identified various factors that influence STS. This study followed a descriptive design. The data of 136 nurses who had provided direct care to COVID-19 patients from 5 September to 26 September 2020 were collected online. Hierarchical regression analysis was conducted to identify the factors influencing STS. Participants experienced moderate levels of STS. The regression model of Model 1 was statistically significant (F = 6.21, p < 0.001), and the significant factors influencing STS were the duration of care for patients with COVID-19 for more than 30 days (β = 0.28, p < 0.001) and working in an undesignated COVID-19 hospital (β = 0.21, p = 0.038). In Model 2, the factor influencing STS was the support of a friend in the category of social support (β = −0.21, p = 0.039). The nurses caring for COVID-19 patients are experiencing a persistent and moderate level of STS. This study can be used as basic data to treat and prevent STS.

scholarly journals Customer Satisfaction and Customer Loyalty: Leading Super Markets in Jaffna District, Sri Lanka

2017 ◽  
Vol 8 (2) ◽  
pp. 67
Author(s):  
Kumaradeepan V. ◽  
Pathmini, M G S
Keyword(s):  
Social Sciences ◽  
Regression Analysis ◽  
Sri Lanka ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Random Sampling ◽  
Quantitative Method ◽  
Sampling Technique ◽  
Primary Data ◽  
The Impact

The topic of the research is Customer Satisfaction (CS) and Customer Loyalty (CL); special reference to the leading supermarkets in Jaffna. The objective of the research is to identify the impact of Customer Satisfaction on Customer Loyalty of leading Supermarkets in Jaffna, Sri Lanka. The research is simply deductive approach to find out the impact between Customer satisfaction and Customer loyalty. Quantitative method is available based on primary data. At present there are 08 numbers of supermarkets functioning in Jaffna district and popular three were selected. Random sampling technique is used to collect the data from customers of supermarkets in selected area. The analysis is carried out using a sample of 240 customers in Jaffna and only 218 were taken to analyze. ‘Statistical Package for Social Sciences’ (SPSS) 22.0 version was used in order to analyze the data. Correlation was used to find the connection between Customer Satisfaction and Customer Loyalty. Also Regression analysis is used to predict the value of a variable based on the value of two or more other variables. Also found that about 40 percent connection between Customer Satisfaction and Customer Loyalty and also found around 16% affect by Customer satisfaction to Customer loyalty.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

scholarly journals The Impact Of Agricultural Extension Contact On Crop Income In Bangladesh

2013 ◽  
Vol 38 (2) ◽  
pp. 321-334 ◽  
Author(s):  
Abu Zafar Mahmudul Haq
Keyword(s):  
Random Sampling ◽  
Field Survey ◽  
Sampling Technique ◽  
Agricultural Extension ◽  
Farm Income ◽  
Extension Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Crop Income ◽  
The Impact

The impact of extension contact on crop income is examined with a view to evaluating the agricultural extension in Bangladesh. The scope of the study was ten villages of Gazipur district. The objectives of the study are to i) determine the factors influencing the benefit of extension services in terms of farm income, ii) determine the factors affecting the extension contact of farmers, and iii) suggest some policy guidelines to improve the extension services in Bangladesh. The sample of the study consists of 1000 farmers. Data came from field survey and multistage random sampling technique was used in order to collect data. The results indicated that the impact of extension contact coefficient on crop income is positive and significant. Evidence shows that the influence of extension contact coefficient is strongly positive and significant in the comparatively nearer villages to upazila headquarters, while this effect is weaker for those villages, which are comparatively away from upazila headquarters. It is found that many farmers did not receive extension contact and the effect of extension contact is weak on crop income compared to other factors such as irrigation and chemical fertilizer. It is assumed that there was enough scope to increase extension contact in the study areas. Some determinants of extension contact were also examined. The study concludes that agricultural extension is necessary to increase among the farmers. Bangladesh J. Agril. Res. 38(2): 321-334, June 2013 DOI: http://dx.doi.org/10.3329/bjar.v38i2.15893

scholarly journals Antenatal and perinatal factors influencing neonatal blood pressure: a systematic review

2021 ◽  
Author(s):  
Heike Rabe ◽  
Varsha Bhatt-Mehta ◽  
Stephen A. Bremner ◽  
Aisling Ahluwalia ◽  
Renske Mcfarlane ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sociodemographic Factors ◽  
Cochrane Library ◽  
Perinatal Factors ◽  
Smoking During Pregnancy ◽  
Factors Affecting ◽  
Ovid Medline ◽  
Factors Influencing ◽  
Neonatal Blood ◽  
The Impact

Abstract Objective A comprehensive understanding of the factors contributing to perinatal blood pressure is vital to ensure optimal postnatal hemodynamic support. The objective of this study was to review existing literature on maternal and perinatal factors influencing blood pressure in neonates up to 3 months corrected age. Methods A systematic search of published literature in OVID Medline, OVID Embase and the COCHRANE library identified publications relating to maternal factors affecting blood pressure of neonates up to corrected age of 3 months. Summary data were extracted and compared (PROSPERO CRD42018092886). Results Of the 3683 non-duplicate publications identified, 44 were eligible for inclusion in this review. Topics elicited were sociodemographic factors, maternal health status, medications, smoking during pregnancy, and cord management at birth. Limited data were available for each factor. Results regarding the impact of these factors on neonatal blood pressure were inconsistent across studies. Conclusions There is insufficient evidence to draw definitive conclusions regarding the impact of various maternal and perinatal factors on neonatal blood pressure. Future investigations of neonatal cardiovascular therapies should account for these factors in their study design. Similarly, studies on maternal diseases and perinatal interventions should include neonatal blood pressure as part of their primary or secondary analyses.

scholarly journals MODELLING OF THE INTEGRATED INDICATOR OF THE GENERAL LEVEL OF ENVIRONMENTAL SAFETY OF THE ENTERPRISE

2017 ◽  
pp. 182-191 ◽  
Author(s):  
Tetyana Radevych ◽  
Yuliya Nochovna ◽  
Nataliya Samburs'ka
Keyword(s):  
Regression Analysis ◽  
Environmental Protection ◽  
Mathematic Model ◽  
Environmental Safety ◽  
General Level ◽  
Environmental Damage ◽  
Economic Factors ◽  
Integral Coefficient ◽  
Correlation And Regression Analysis ◽  
The Impact

Introduction. Effective stimulation of the activities of national enterprises in the direction of environmental protection, reduction of the negative impact of production on the environment, increase of innovation and investment attractiveness, environmental image and improvement of the ecological situation in Ukraine becomes possible on condition of the development and practical testing of the methodology for assessing the overall level of environmental safety of the enterprise. Purpose. The article aims to develop an integrated index of the overall level of environmental safety of the enterprise, to justify the possibility of using correlation and regression analysis to confirm the interrelationship between its components. Methodology. The fundamental aspects of the general economic theory, the economics of nature usage and environmental protection, statistics and econometrics have become the methodological basis of the article. The article uses correlation and regression analysis, comparative analysis, method of relative values, methods of economic and mathematic modelling etc. Results. In the article the formula for calculation the integral index of the general level of ecological safety of the enterprise is developed. It is based on three partial integral coefficients: the integral coefficient of environmental damage; integral coefficient of influence of economic factors; the integral factor of the impact of environmental and economic factors. The use of correlation and regression analysis has confirmed the adequacy of the developed economic and mathematic model, the reality of interconnections and interdependencies between its indicators.

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