scholarly journals The Influence of Predictor Factors on Entrepreneurship Career Inclination: Benefit of Entrepreneurship Career as a Mediator/ Pengaruh Faktor Peramal Terhadap Kecenderungan Kerjaya Keusahawanan: Kebaikan Pekerjaan Keusahawanan Sebagai Pengantara

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Wan Mohd Zaifurin Wan Nawang ◽  
Ibrahim Mamat
Keyword(s):  
Regression Analysis ◽  
Multiple Regression ◽  
Role Model ◽  
Dominant Factor ◽  
Hierarchical Regression ◽  
Factors Affecting ◽  
The Social ◽  
High Level ◽  
Random Method ◽  
Predictor Factors

This research aimed to study the influence of predictor factors on inclination toward entrepreneurship career involving the benefits of entrepreneurship career as a mediator. The method of the study is quantitative approach using 161 sets of questionnaires distributed by simple random method among the form four students from entrepreneurship club in 16 secondary schools in Terengganu. Data was analysed using Statistical Package for the Social Sciences (SPSS) involving descriptive test, Multiple Regression and Hierarchical Regression. Descriptive test finding found that most of the respondents have entrepreneurship career inclination at the high level. The findings of the Multiple Regression analysis found that predictor factors such as social norm, entrepreneurship skills and role model influenced entrepreneurship career inclination. Meanwhile, Hierarchical Regression analysis found that social norms, entrepreneurship skills and role model could influence the entrepreneurship career inclination through mediator the benefits of entrepreneurship career. The findings from these two analysis found that role model is the most dominant factor in influencing of entrepreneurship career inclination directly or indirectly by using the benefits of entrepreneurship career as a mediator. The findings of this study add value to the existing findings of the predictor factors affecting the inclination and the benefits of entrepreneurship career as mediator. 

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 Factors that affect employee motivation at Bentre Import Export Joint- stock Corporation (Betrimex)

2020 ◽  
Vol 5 (1) ◽  
pp. first
Author(s):  
Huỳnh Thanh Tú ◽  
Ung Hoàng Khang
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Working Conditions ◽  
Work Performance ◽  
Employee Motivation ◽  
Factors Affecting ◽  
Research Results ◽  
Exploratory Data ◽  
Stock Corporation

The research on factors that affect employee motivation at Bentre Import Export Joint- stock Corporation (Betrimex) has special significance in motivating employees, attracting and retaining talent, thereby helping the Corporation improve work performance. During the research, 300 employees working at Betrimex were surveyed and 250 employees with valid answer sheets were selected, survey data was processed with the SPSS software and the research model through scale reliability analysis, exploratory data analysis, correlation analysis and multiple regression analysis was tested. The research results have shown 07 factors affecting employee motivation at Betrimex, measured through 37 observed variables and including the pay, bonuses, benefits, allowances, working conditions, relationships with colleagues and relationships with superiors. Where the pay (b = 0.403) is the factor that has the most powerful influence on employee motivation and working conditions (b = 0.171) have the least influence on employee motivation. The results of multiple regression analysis have also showed that the adjusted R2 is 0.732. Thus, 07 independent variables can explain 73.2% of the variations of the dependent variables. Also, the research results have tremendous implications for developing strategies and plans for human resources development of Betrimex in the future.

scholarly journals An Analysis of Bitcoin Acceptance in Indonesia

2017 ◽  
Vol 8 (4) ◽  
pp. 241 ◽  
Author(s):  
Fergyanto E. Gunawan ◽  
Rizki Novendra
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Influence Factor ◽  
Statistical Significance ◽  
Multivariate Regression Analysis ◽  
P Value ◽  
Factors Affecting ◽  
Performance Expectancy ◽  
The Social ◽  
High Level

This research intended to understand the factors affecting the acceptance of Bitcoin technology in Indonesia. It adopted the model of Unified Theory of Acceptance and Use of Technology (UTAUT), which took into account four influencing factors. Those were performance expectancy, effort expectancy, social influence, and facilitating conditions. The factors of gender and age were assumed to moderate the relations between those four factors and use and behavioral intention. The empirical data for those factors were collected by questionnaires from 49 respondents. The statistical significance of the relationships was evaluated by multivariate regression analysis. The result is a model that matches the data with R2 = 0,678. It demonstrates a high level of fitness. The analysis suggests that the performance expectancy factor and the social influence factor greatly affect the behavioral intention to use Bitcoin with the values of t-statistic of 3,835 (p-value = 0,000) for the former factor and 1,948 (0,059) for the latter factor. However, the social influence factor has less profound effect on the behavioral intention.

scholarly journals Proposition and Validation of Retention Model for Managers in Select Indian Private Sector Banks

2021 ◽  
Vol 29 (03) ◽  
pp. 59-95
Author(s):  
Niharika Singh ◽  
◽  
L. Shashikumar Sharma ◽  
Bendangienla Aier ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Structural Equation ◽  
Banking Industry ◽  
Middle Level ◽  
Hierarchical Regression ◽  
Retention Model ◽  
Factors Affecting ◽  
Advancement Opportunities ◽  
Retention Models ◽  
Alternative Employment

Purpose- Focusing on private banking industry in Delhi (India), the study intent to identify the direct and indirect influence of select individual, internal (organizational) and external (environment) variables on retention of bank managers. Three retention models for banking industry with the said variables had been hypothesized and tested to find that most appropriate model. Design/Methodology/Approach - The required data of 301 lower and middle level managers was finalized using stratified random sampling. The managers examined for the study were with minimum two years of experience in the same bank. The study was conducted in two phases- (i) Significant determinants of retention were identified using multiple and hierarchical regression analysis, (ii) Involving only significant determinants three retention models were created and tested using Structural equation modelling (SEM). Findings- SEM result of best fit model suggests that perceived alternative employment opportunities, perceived organizations prestige, perceived competitiveness of pay, pay and benefits satisfaction, career advancement opportunities, work-life balance, and job satisfaction have significant effect on retention of managers and the result is consistent with regression analysis of the work. Moreover, final model showed retention acting as mediator between other variables and retention, though the indirect effect was found to be very weak. Practical Implications- The findings of the study will be serviceable for the banks want to keep those managers who had already spend a good amount of time in the bank. Originality/Value- Rather than including two or three predictors, the current work has considered determinants of retention from various dimensions. The study extended its area by making an effort to involve only those who retained in the organization for two years and can actually have an opinion on the matter or factors affecting their stay.

DETERMINING SIGNIFICANT FACTORS AFFECTING GREEN BUILDING PRICE USING MULTIPLE REGRESSION ANALYSIS

2020 ◽  
Vol 7 (2) ◽  
pp. 61
Author(s):  
Nur Syafiqah Jamil ◽  
Thuraiya Mohd ◽  
Suraya Masrom
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
House Prices ◽  
Spillover Effect ◽  
Green Building ◽  
Factors Affecting ◽  
Klang Valley ◽  
Empirical Experiment ◽  
Significant Factors

The green building (GB) can be defined as the method of increasing the efficiency of the building and site. However, the spillover effect of GB price in Malaysia has not widely been discovered as there are limited case studies on this issue. This paper attempts to determine the significant factors that influence the GB price. The empirical experiment has been conducted to test the Multiple Regression Analysis (MRA) model on a real dataset of house prices in the area of Klang Valley, Selangor with GB specifications. The result showed that factors related to tenure have significant contributions to the GB price

The Effect of Administrators’ Servant Leadership on the Excellence of Catholic School

2017 ◽  
Vol 7 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Saowanee Sirisookslip ◽  
Wallapha Ariratana ◽  
Tang keow Ngang
Keyword(s):  
Regression Analysis ◽  
Servant Leadership ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Catholic Schools ◽  
School Administrators ◽  
Pearson Correlation ◽  
Catholic School ◽  
Stepwise Multiple Regression ◽  
High Level

AbstractThe research was aimed to study the effect of school administrators’ servant leadership on the excellence of Catholic Schools under Nakhon Rarchasima Diocese. A total of 326 respondents consisting 61 school administrators and 265 teachers were involved in this study. A quantitative survey design using questionnaire as an instrument was utilized in this study. Descriptive and inferential statistics were used to analyze the data. Descriptive statistic used in this study were frequency, percentage, mean score and standard deviation whereas inferential statistic used were Pearson correlation coefficient and Stepwise multiple regression analysis. The findings of the study revealed that both the independent and dependent variables were at high level. In short, school administrators were not only highly implemented servant leadership and its components but also the level of excellence was at high level. The excellence level of Catholic schools was significantly affected by three components of school administrators’ servant leadership at significant level of 0.05. The significant predictors of the school excellence level were community establishment, trust, love, and having vision components of servant leadership. The coefficient relative rate of multiple regression analysis was 0.651 and coefficient prediction was 41.60 percent. Finally, this paper also provided recommendation and suggestions for future research. Keywords: Servant leadership; school administrators; school excellence; Catholic schools

scholarly journals Multiple Regression Analysis of Factors Affecting the Mental Component Score Constituents of SF-36 in Adult Spinal Deformity

2016 ◽  
Vol 6 (1_suppl) ◽  
pp. s-0036-1583073-s-0036-1583073
Author(s):  
Selim Ayhan ◽  
Selcem Yuksel ◽  
Asli Niyazi ◽  
Vugar Nabiyev ◽  
Ümit Özgür Güler ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Spinal Deformity ◽  
Adult Spinal Deformity ◽  
Mental Component Score ◽  
Factors Affecting ◽  
Component Score ◽  
Sf 36

scholarly journals Factors Affecting Psychological Stress in Healthcare Workers with and without Chronic Pain: A Cross-Sectional Study Using Multiple Regression Analysis

Medicina ◽  
2019 ◽  
Vol 55 (10) ◽  
pp. 652 ◽  
Author(s):  
Yuta Sakamoto ◽  
Takeru Oka ◽  
Takashi Amari ◽  
Satoshi Shimo
Keyword(s):  
Chronic Pain ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Job Stress ◽  
Psychological Stress ◽  
Pain Catastrophizing ◽  
Psychological State ◽  
Factors Affecting ◽  
Independent Variables

Background and Objectives: Pain affects psychological stress and general health in the working population. However, the factors affecting psychological job stress related to chronic pain are unclear. This study aimed to clarify the structural differences among factors affecting psychological job stress in workers with chronic pain and those without pain. Materials and Methods: A stepwise multiple regression analysis revealed the differences in structure between the psychological stress of workers with chronic pain and those with no pain. Psychological job stress by the Brief Job Stress Questionnaire was used as the dependent variable, with psychological state (depression and anxiety), specifically that characteristic of chronic pain (pain catastrophizing); information on the nature of the pain (intensity and duration); and number of years of service as independent variables. Selected independent variables were evaluated for collinearity. Results: In the model with psychological stress as a dependent variable (chronic pain: r2 = 0.57, F = 41.7, p < 0.0001; no-pain: r2 = 0.63, F = 26.3, p < 0.0001), the difference between the experiences of workers with chronic pain and those with no pain was that chronic pain was associated with depression (Beta = 0.43, p < 0.0001) and no pain with anxiety (Beta = 0.34, p < 0.0001). In the model with chronic pain-related depression as a dependent variable (r2 = 0.62, F = 41.7, p < 0.0001), job-life satisfaction (Beta = −0.18, p = 0.0017) and magnification (a dimension of pain catastrophizing; Beta = 0.16, p < 0.0001) were significant. Conclusions: The results of this study suggest that the psychological characteristics of chronic pain, such as depression and magnification, should be considered when evaluating and intervening in the job stress of workers with chronic pain.

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