scholarly journals An Empirical Analysis of Correlation Between Technostress and Job Satisfaction: A Case of KPK, Pakistan

2013 ◽  
Vol 14 ◽  
pp. 9-15
Author(s):  
Asad Khan ◽  
Hamid Rehman ◽  
Shafiq -ur- Rehman
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Pearson Correlation ◽  
Three Dimensions ◽  
Public And Private ◽  
Relationship Of ◽  
Self Administered Questionnaire ◽  
Data Screening

The objective of this research was to explore an association between technostress and job satisfaction of university librarians in Khyber Pakhtoonkhwa (KPK), Pakistan. For that reason a self-administered questionnaire was used to gather the data from 148 librarians serving in 25 public and private sectors universities of KPK. The entire population (N=148) was selected as respondents because the population was accessible. For this study, 148 questionnaires were distributed and only 120 questionnaires were returned. However, after initial data screening, 116 questionnaires were ascertained as useable for further statistical analyses. Pearson correlation was calculated to investigate the correlation of technostress and job satisfaction. Multiple regression analysis was performed to test the three hypotheses between technostress dimensions and job satisfaction. Findings of this study show a negative but statistically significant relationship of three dimensions of technostress with job satisfaction. Based on multiple regression analysis-all the three hypotheses, (H1, H2, and H3) are supported. This study will be significant in controlling stress caused by technology and enhancing the level of job satisfaction among Pakistani university librarians. The study will equally contribute to the literature on relationship between technostress and job satisfaction. No identical previous studies were located on this topic in the context of Pakistani university librarianship.

Pengaruh konflik, komitmen organisasi dan kepuasan kerja terhadap loyalitas karyawan pada Rumah Sakit TK. III, dr. Reksodiwiryo padang (studi kasus pada seluruh staf non medis)

2021 ◽  
Vol 5 (3) ◽  
pp. 566
Author(s):  
Mardhatila Fitri Sopali ◽  
Putri Azizi ◽  
Ai Elis Karlinda
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Organizational Commitment ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Analytical Method ◽  
Medical Staff ◽  
T Test ◽  
Employee Loyalty

This study aims to determine how big the influence of Conflict, Organizational Commitment and Job Satisfaction together on Employee Loyalty at Tk Hospital. III dr. Reksodiwiryo Padang. The method of collecting data is through surveys and distributing questionnaires, with a sample of 57 respondents. Non-medical staff at Tk Hospital. III dr. Reksodiwiryo Padang. The analytical method used is multiple regression analysis. The results obtained based on the partial test (t test) obtained: (a) partially there is a significant effect of Conflict on Employee Loyalty. Thus Ha is accepted, Ho is rejected. (b) partially there is a significant effect of Organizational Commitment on Employee Loyalty. Thus obtained Ha accepted Ho rejected. (c) partially there is no significant effect of Job Satisfaction on Performance Loyalty. Thus, Ha is rejected, Ho is accepted. (d) There is a spatially significant influence between Conflict, Organizational Commitment, and Job Satisfaction on Employee Loyalty. Thus obtained Ha accepted Ho rejected. (e) the contribution of the variables of Conflict, Organizational Commitment, and Job Satisfaction together to Employee Loyalty is 40.2% while the remaining 59.8% is influenced by other variables not examined in this study.

scholarly journals SIKAP KERJA ADVOKAT PADA ORGANISASI PROFESIONAL

2020 ◽  
Vol 15 (2) ◽  
pp. 353-368
Author(s):  
Tukinu Tukinu ◽  
Istiatin Istiatin ◽  
Supawi Pawenang
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Data Analysis ◽  
Organizational Commitment ◽  
Data Collection ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Survey Research ◽  
Job Attitudes ◽  
Data Collection Technique

The objective of the research is to analyze the effect of professionalism, job satisfaction, and organizational commitment on job attitudes among members of Indonesian Advocate Congress (Kongres Advokat Indonesia/ KAI) in Solo Raya. The type of the research is survey research. The sample of the research uses non-probability census sampling. The data collection technique was done using questionnaire. The data analysis is done using multiple regression analysis. The research concluded that professionalism, job satisfaction, and organizational commitment affect the job attitudes among advocates both simultaneously and partially

scholarly journals Pengaruh Motivasi dan Kepuasan Kerja terhadap Kinerja Karyawan

2011 ◽  
Vol 2 (1) ◽  
pp. 379
Author(s):  
Cecep Hidayat ◽  
Ferdiansyah Ferdiansyah
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Work Motivation ◽  
Employee Performance ◽  
Analysis Data

The purpose of this study was to determine how much influence the work motivation and job satisfaction to employee performance either partially or simultaneously. This type of research is associative with the method of analysis used are simple and multiple regression analysis. Data was collected by distributing questionnaires to all employees of Mutiara Bunda Hospital. The results showed that there are positive and significant influence between motivation and job satisfaction on employee performance 

A Study of Internet Addiction and Its Effects on the Mental Health of Medical Students: A Cross-Sectional Study in Western Iran

2019 ◽  
Author(s):  
Javad Yoosefi Lebni ◽  
Razie Toghroli ◽  
Manoj Sharma ◽  
Behzad Mahaki ◽  
Hadi Darvishi Gilan ◽  
...  
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Academic Success ◽  
University Students ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Internet Addiction ◽  
Pearson Correlation ◽  
The Internet ◽  
Statistical Population

Abstract Background: The internet itself is a harmless technology. However, its overuse and misuse will expose its users to internet addiction. On the other hand, diagnosis of students’mental dysfunction is of prime importance, and their progress and academic success in the future can be prevented by this technology if not properly handled. Methods: In this descriptive and correlational study, the statistical population consisted of all students at Kermanshah University of Medical Sciences, of which 447 students studying in the first and second semesters of the academic year 2017-18 were selected through Cochran's Sample Size Formula and Stratified Random Sampling. As for data collection, the Young's Internet addiction Test (IAT) and Goldberg General Health Questionnaire (GHQ-28) were utilized. Moreover, for data analysis, the descriptive statistics (percentage, mean, standard deviation) and inferential statistics (T-test, Pearson correlation coefficient, and multiple regression analysis) were employed in the environment of SPSS Statistical Software Version 23.0. Results: The results of the present study demonstrated that the total mean score of students’ internet addiction and mental health measured 3.81±0.88 and 2.56±0.33, respectively. The results also indicated that internet addiction correlared positively with depression whereas negatively with mental health (P<0.001). Besides, the results of multiple regression analysis revealed that the five major predictors of vulnerability to internet addictionin university students were as follows: the key reason for using the internet, faculty, depression, the main place for using the internet, and somatic symptoms. Conclusions: According to the findings of the present study, it can be concluded that students’ excessive use of the internet leads to depression, anxiety, and reduced mental health, thereby affecting their academic performance. Hence, it is suggested that further monitoring and control be exercised on how the internet is used by university students, and they should be informed of the detrimental effects of this technology in the case of misuse or overuse.

scholarly journals Enterprise Value and Intellectual Capital: Study of BSE 500 Firms

2018 ◽  
Vol 7 (2) ◽  
pp. 123 ◽  
Author(s):  
Priti Sharma
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Intellectual Capital ◽  
Pearson Correlation ◽  
Market Value ◽  
Linear Multiple Regression ◽  
Listed Firms ◽  
Customer Capital ◽  
Almost All

The purpose of this paper is to estimate the intellectual capital coefficient of the firms under study and to study the relationship, if any between intellectual capital and intellectual capital and its constituents. In this empirical paper, analytical research design has been used. Pulic’s VAIC (modified) has been used to estimate the intellectual capital of BSE S&P 500 listed firms from 2007-2016. The data has been collected from CMIE and collected data has been analyzed using Pearson correlation and linear multiple regression analysis using CMIE PROWESS. Findings show that almost all firms under study have a good VAIC score means above 4 and the top VAIC scorer firms were mainly from refinery, metal, cement, steel, tobacco. Correlation analysis and Linear multiple regression analysis show that M/B ratio has a significant relationship with VACA, VAHU, Research and Development (Innovation capital) and Advertisement expenses (customer capital). Year-wise results depicts that value of adjusted R2 is increasing, in 2007 it was just .164 and in the year 2016 it is .607 which infers that VAIC’s role is improving in measuring the market value of firms under study. Year wise analysis shows that adjusted R2 is improving, so findings may serve as significant input for the firms to use intellectual capital as the main factor for improving the market value of firms. This paper will definitely contribute to the existing literature.

scholarly journals Influence Satisfaction, Compensation and Work Discipline the Employee Performance at PT. Lion Air in Batam

2016 ◽  
Vol 8 (4) ◽  
pp. 95
Author(s):  
Priyono ◽  
Suheriyatmono
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Descriptive Analysis ◽  
Regression Equation ◽  
Reliability Test ◽  
Validity And Reliability

<p>This study aimed to analyze the extent to which the effect of satisfaction, compensation and discipline on the performance of employees at PT. Lion Air in Batam as well as to analyze the most dominant variables affect the performance of employees at PT. Lion Air in applying Batam. For goal then used descriptive analysis, multiple regression analysis, validity and reliability test and partial test and test simultaneously.</p>From the results of the regression equation the influence of variables (job satisfaction, compensation and working discipline) with the performance of employees at PT. Lion Air Batam, there was a strong and significant influence, because the higher job satisfaction, compensation and working discipline, the higher the employee’s performance because it has a probability value of less than 0.05. Thus, in this study proved the first hypothesis. The most dominant variable affecting the performance of employees is job satisfaction, reasons for job satisfaction has a standardized coefficient of the largest value when compared with the variable compensation and work discipline.

scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

Group Factors and its Relationship with Job and Life Satisfaction in Diverse Organizations

2011 ◽  
Vol 36 (4) ◽  
pp. 335-352 ◽  
Author(s):  
S. Riasudeen ◽  
P. T. Srinivasan
Keyword(s):  
Job Satisfaction ◽  
Life Satisfaction ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Global Operations ◽  
Selection Of ◽  
Structured Questionnaire

This research focuses upon understanding whether the group factors will serve as predictors and explain the variance in individual's job and life satisfaction. A purposive sampling was adopted for the selection of 475 employees from the four different firms having global operations. A structured questionnaire was distributed amongst respondents and data were analyzed with hierarchical stepwise multiple regression analysis in order to assess the extent of variance in job satisfaction and life satisfaction. The results of the analysis indicate that the dimensions of group factors emerged as significant predictors of job satisfaction and life satisfaction in the diverse organizations.

Relationship of Hand Length to Catching Performance by Children in Kindergarten to Grade 2

2003 ◽  
Vol 96 (3_suppl) ◽  
pp. 1194-1196 ◽  
Author(s):  
E. Michael Loovis ◽  
Stephen A. Butterfield
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Small Ball ◽  
Hand Length ◽  
Relationship Of ◽  
The Relationship

This study examined the relationship between hand length and catching performance by 257 children (142 boys, 115 girls) in Grades K–2. Children's catching performance was determined by the number of successful catches (0–5) when a small ball was tossed underhand from 10 ft. Specifically, the children were tested on the qualitative aspects of catching, i.e., form, and catching accuracy, i.e., successful catching. Hand length was measured by standard anthropometric technique. A multiple regression analysis showed age, sex, and hand length contributed significantly ( p = .001) to catching accuracy and catching form. Implications for instruction and further research are offered.

scholarly journals THE INFLUENCE OF EFFICACY ON METACOGNITION AWARENESS AMONG PRIMARY SCHOOL TEACHERS IN THE ISLAND ZONE

2019 ◽  
pp. 187-203
Author(s):  
Haidi Entoh ◽  
Mohd. Khairuddin Abdullah @ Jerry
Keyword(s):  
Regression Analysis ◽  
Classroom Management ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Teaching Strategies ◽  
Primary Schools ◽  
Three Dimensions ◽  
Sense Of Efficacy ◽  
Ex Post ◽  
Ex Post Facto

The purpose of this study is to determine the strength of the efficacy influences, which includes three dimensions: students’ involvement, teaching strategies, and classroom management on metacognition awareness among teachers that working in primary schools in the Island Zone of North Sabah. Using a quantitative approach, this study is based on an ‘ex post facto’ study design. The data were collected through a questionnaire instrument by using the "Teachers’ Sense Of Efficacy (TSES) and "Metacognitive Awareness Inventory for Teacher" (MAIT). Through the purposive sampling design, a total of 151 teachers that teaching at 14 primary schools in the island zone was involved in this study. Descriptive and inference statistics were used to analyze the data and to present the findings of the study. The data were analyzed by using Multiple Regression Analysis. The findings show that the level of teachers’ efficacy (M = 7.45, SD = .86) and teachers' metacognition awareness (M = 4.11, SD = .40) are at a high and positive level. The results of the multiple regression analysis showed that only one dimension of the constructs of the teachers’ efficacy: teaching strategies (β = .591, t = 5.655, p <.05) found to be able to contribute significant predictor value to teacher metacognition awareness and thus reject the null hypothesis. Research implications have also been discussed.

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