scholarly journals Mismatched, but Not Aware of It? How Subjective and Objective Skill Mismatch Affects Employee Job Satisfaction

2021 ◽  
Vol 10 (10) ◽  
pp. 389
Author(s):  
Stephan Bischof
Keyword(s):  
Job Satisfaction ◽  
Regression Models ◽  
Panel Study ◽  
Significant Degree ◽  
Subjective Perception ◽  
Linear Regression Models ◽  
Skill Mismatch ◽  
Employee Job Satisfaction ◽  
Multidimensional Measure ◽  
The Impact

Several studies suggest that skill mismatch reduces job satisfaction. To date, research has primarily investigated the impact of subjective skill mismatch; the impact of objective skill mismatch has less commonly been analysed and has generally only focused on mismatches in single skills. The present study addresses the question of whether both subjective and objective skill mismatch reduces employee job satisfaction. This article contributes to previous research by disentangling the effects of objective and subjective skill mismatch on job satisfaction based on a multidimensional measure of objective skill mismatch among employees in Germany. Based on the 2018 wave of the German National Educational Panel Study (NEPS) Adult Cohort, multiple linear regression models are herein estimated in order to investigate how subjective and objective skill mismatches affect people’s job satisfaction. The findings indicate that subjectively skill mismatched employees are less satisfied with their job than matched employees to a statistically significant degree, even when controlling for the objective mismatch. However, objectively skill mismatched employees do not show statistically significant lower job satisfaction compared to matched employees. Although there is considerable dissonance between objective mismatches and the subjective perception of being mismatched, the findings suggest that skill mismatch only reduces job satisfaction when employees perceive themselves to be mismatched.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

scholarly journals Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 299
Author(s):  
Jaime Pinilla ◽  
Miguel Negrín
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Trend ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Linear Regression Models ◽  
Non Linear ◽  
Nonlinear Trends ◽  
The Impact ◽  
Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

scholarly journals Impact of foreign direct investment on economic growth in the world during 1975–2015

2018 ◽  
Vol 20 (91) ◽  
pp. 28-32
Author(s):  
B. B. Brychka
Keyword(s):  
Economic Growth ◽  
Literature Review ◽  
Regression Models ◽  
Trade Openness ◽  
Positive Influence ◽  
Linear Regression Models ◽  
Average Value ◽  
Gdp Growth Rate ◽  
The World ◽  
The Impact

The study is concentrated on examination the impact of FDI on economic growth in the World during 1975–2015. The study consists of four consecutive parts, including introduction, literature review, model and methodology, data, empirical results and conclusion. Each part of the study is focused on its own goals. According to the results of the literature review, there is positive influence of FDI on economic growth in various countries. Economic growth is one of the most important goals of any country. The country image on the international level is dependent on its economic power. Economic growth provides an opportunity to improve the living standards in the country. Most researchers conclude that there is a positive influence of FDI on the countries’ economic growth. However, the impact of FDI is strong in developing countries. Moreover, this relationship is stronger in countries with higher educational and technological level, trade openness and development of the countries’ stock markets. Economists often build regression models to estimate the relationship between the variables. In order to find the impact of FDI on economic growth, we are going to apply linear regression models. We take two variables as indicators of the countries’ economic growth, including current GDP expressed in U.S dollars, and annual GDP growth rate. Taking into account that the World’s GDP in current U.S dollar is a factor variable with the mentioned resulting variables, the regression equation looks as follows: The R-squared of the built model is 0.99, indicating that roughly 100% of changes in the World’s GDP is caused by the chosen factors. As it is seen from the SAS output, the residuals of dependent variable and factors variables are distributed normally among its average value. Thus, non-normality is not observed in the model. Taking into account the coefficients of the factor variables, the log GDP is most sensitive to the changes in trade as a percent of GDP. The log GDP is not quite sensitive to the changes in FDI, since the coefficient of 0.000128 means that increasing of FDI by one unit increase the logarithmic value of GDP by $ 0.000128.

scholarly journals The effect of leadership style and job motivation on the performance of teachers

2021 ◽  
Vol 6 (2) ◽  
pp. 482
Author(s):  
Ramsiah Hiranah ◽  
Happy Fitria ◽  
Achmad Wahidy
Keyword(s):  
Leadership Style ◽  
Regression Models ◽  
Qualitative Data ◽  
Teacher Performance ◽  
Sampling Technique ◽  
Linear Regression Models ◽  
Profound Influence ◽  
Job Motivation ◽  
Study Techniques ◽  
The Impact

The main objective of this study is to define and explain the impact on teacher performance of the leadership style of the head of the Madrasah and job motivation simultaneously. Quantitative analysis is this form of study performed in this study. Techniques for qualitative data collection, questionnaires and documentation..“ Using different linear regression models, it was analyzed. With the help of the version 21 SPSS program. A saturated sampling technique was used in this analysis, where all 49 respondents were tested. From the following conclusions, the findings of data processing and interpretation are drawn: The principal's leadership style has a positive and important effect on the performance of teachers. Motivation for work has a positive and meaningful influence on the success of teachers. At the same time, the leadership style of madrasah principals and job motivation have a profound influence on teacher performance.

scholarly journals Evaluation of determinants of the serological response to the split-inactivated influenza vaccine

2021 ◽  
Author(s):  
Shaohuan Wu ◽  
Ted M. Ross ◽  
Michael A. Carlock ◽  
Elodie Ghedin ◽  
Hyungwon Choi ◽  
...  
Keyword(s):  
Influenza Vaccine ◽  
Regression Models ◽  
Seasonal Influenza ◽  
Vaccine Dose ◽  
Serological Response ◽  
Linear Regression Models ◽  
Negative Effects ◽  
Categorical Response ◽  
One Year ◽  
The Impact

AbstractThe seasonal influenza vaccine is only effective in half of the vaccinated population. To identify determinants of vaccine efficacy, we used data from >1,300 vaccination events to predict the response to vaccination measured as seroconversion as well as hemagglutination inhibition (HAI) levels one year after. We evaluated the predictive capabilities of age, body mass index (BMI), sex, race, comorbidities, prevaccination history, and baseline HAI titers, as well as vaccination month and vaccine dose in multiple linear regression models. The models predicted the categorical response for >75% of the cases in all subsets with one exception. Prior vaccination, baseline titer level, and age were the strongest determinants on seroconversion, all of which had negative effects. Further, we identified a gender effect in older participants, and an effect of vaccination month. BMI played a surprisingly small role, likely due to its correlation with age. Comorbidities, vaccine dose, and race had negligible effects. Our models can generate a new seroconversion score that is corrected for the impact of these factors which can facilitate future biomarker identification.

The impact of emotional intelligence and servant leadership on employee job satisfaction

2021 ◽  
Vol 13 (2) ◽  
pp. 205-217
Author(s):  
Pallavi Jha ◽  
Sanjay Bhattacharya
Keyword(s):  
Job Satisfaction ◽  
Emotional Intelligence ◽  
Servant Leadership ◽  
Positive Impact ◽  
Pearson Correlation ◽  
Work Productivity ◽  
Content Type ◽  
Significance Level ◽  
Employee Job Satisfaction ◽  
The Impact

Purpose The concept of emotional intelligence (EI) and servant leadership (SL) are two variables that have been essential for the organization leaders to ensure a healthy and happy work–life for their subordinates. The purpose of this study to be conducted was for leaders understand the role EI and SL play in maintaining employee job satisfaction and help them to create engaging environment and bring effectiveness in the work productivity of the assets. Design/methodology/approach Quantitative method was used and a total of 150 people were taken as a sample which consisted of several leaders and their subordinates and an emotional intelligence questionnaire by NHS and SL: multidimensional questionnaire was floated to rate the leaders EI and SL behavior comparing it with the leaders self-rating. The result was analyzed using SPSS, Pearson correlation and regression was used to understand the significance level and reliability of all the independent and dependent variables, respectively. Findings Through correlation and regression, it was found that presence of EI and SL style in a leader plays a huge role in employee job satisfaction. It was also found that EI and SL are the substantial predictor which have positive impact over employee job satisfaction. Originality/value The outcome of the study will help the leaders understand the significance that the EI and SL have in their role to maintain employee job satisfaction, as well as the training and development measures for leaders.

Increasing employee job satisfaction

2020 ◽  
Vol 34 (4) ◽  
pp. 53-55
Keyword(s):  
Job Satisfaction ◽  
Design Methodology ◽  
Critical Role ◽  
Supervisor Support ◽  
Content Type ◽  
Employee Job Satisfaction ◽  
Work Atmosphere ◽  
Pertinent Information ◽  
The Impact ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Job satisfaction plays a critical role in the retention of key talent. Firms can enhance prospects by creating a work environment that incorporates a positive atmosphere. Both supervisor support and potential for career development help optimize the impact of work atmosphere on employee job satisfaction levels. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Impact of employee job satisfaction and commitment on customer perceived value

2019 ◽  
Vol 38 (3) ◽  
pp. 737-755
Author(s):  
Hanen Charni ◽  
Isabelle Brun ◽  
Line Ricard
Keyword(s):  
Job Satisfaction ◽  
Affective Commitment ◽  
Positive Impact ◽  
Perceived Value ◽  
Content Type ◽  
Customer Perceptions ◽  
Employee Job Satisfaction ◽  
Customer Perceived Value ◽  
The Impact ◽  
Formative Index

Purpose The purpose of this paper is to analyse the impact of employee job satisfaction and affective commitment as perceived by customers on customer perceived value, more specifically its benefits dimensions. Design/methodology/approach A total of 652 panellists from a large Canadian polling firm self-administer a web-based questionnaire. To measure customer perceived value, a formative index is used which contributes to topical literature through a unique methodology. Hypotheses are tested using a structural equation model. Findings An analysis of the direct, indirect and total effects confirms the unique positive impact of employee job satisfaction and affective commitment, as perceived by customers, on the emotional, social, relationship and epistemic benefits, as well as on the formative index of customer perceived value. Practical implications Customer perceptions of employee attitudes (job satisfaction and affective commitment) represent a unique opportunity for banks to differentiate their value proposition in a hypercompetitive market. Originality/value This study is the first to consider customer perceptions of employee job satisfaction and affective commitment in relation to a formative index of customer perceived value and its related benefits dimensions.

scholarly journals The Impact of the Community Built Environment on the Walking Times of Residents in a Community in the Downtown Area of Fuzhou

2019 ◽  
Vol 11 (3) ◽  
pp. 691
Author(s):  
Lizhen Zhao ◽  
Zhenjiang Shen ◽  
Yanji Zhang ◽  
Yan Ma
Keyword(s):  
Built Environment ◽  
Regression Models ◽  
Education Level ◽  
Linear Regression Models ◽  
Downtown Area ◽  
Point Of Interest ◽  
Independent Variable ◽  
And Gender ◽  
The Impact ◽  
Walking Time

By means of on-site and network investigation, we collected data relevant to residents of communities, point of interest (POI) data, and land-use data of Fuzhou. We set traffic walking time and leisure walking time as an independent variable, built environment as dependent variable, and gender, age, education level and income level as control variables. Six linear regression models were established using Statistical Product and Service Solutions (SPSS). The results showed that in the 5D (i.e., Density, Diversity, Design, Destination and Distance) elements of the built environment, the density was negatively correlated with the traffic walking time, whereas other elements were positively correlated with the walking time, but the degree of influence was different.

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