scholarly journals The impact study of the role of job rotation system effectiveness on work enthusiasm

2021 ◽  
Vol 34 (02) ◽  
pp. 790-806
Author(s):  
Massoud Ghaffari ◽  
Seyed Rasoul Aghadavood ◽  
Mohammad Reza Dalvi

In today's world, human capital is considered as the highest and most valuable asset of an organization, which affects the profits and losses of any company. The organizations that exist in these societies must be able to utilize human resources effectively. Job rotation is one of the management measures in the field of human resource management. It can create a creative, ideal, and secure organization that ensures commitment, knowledge transfer, skills acquisition, innovation, creativity, experience, job satisfaction, enthusiasm, exhaustion reduction, and human capital growth. The aim of this study is to investigate the effect of job rotation system on work motivation (studied in the region of two gas transfer operations). The present study is a correlation from the field and in terms of purpose and nature of application and in terms of descriptive-survey method and in terms of cross-sectional time. The statistical population of the study is 850 personnel (managers, experts and employees) of the region of two gas transmission operations. Using Cochran's formula, the sample size for limited communities is 285 people. The statistical population of the study consists of heterogeneous groups (formal and informal forces, managers and employees) using stratified random sampling method. In order to collect data, a researcher-made questionnaire with 20 items and a standard job motivation questionnaire with 17 items were used. The questionnaire is divided based on a five-point Likert scale. Reliability and validity were calculated and the value of 0.881 was obtained, which indicates the appropriate reliability of the questionnaires. To investigate the relationship and research hypotheses, Pearson correlation coefficient and regression, SPSS software and LISREL software were tested. The results show that the dimensions of job rotation such as human capital development and changes in human capital are related to work enthusiasm. Pearson correlation coefficient is 0.842 and 0.368, respectively, which indicates a good correlation. Also, the development and changes of human capital have a significant effect on job motivation and the standard beta value was 0.343 and 0.281, respectively, and all research hypotheses have been confirmed.

2014 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Baker Sulaiman Thuneibat

This study aims to identify the impact of electromagnetic waves at the full moon on some physiological changes among the students of the Faculty of Sport Sciences at Mu'tah University. The study sample consisted of  20 students from the Faculty of Sport Sciences at Mu'tah University. Many statistical methods have been used in order to answer the questions of the study (Means, standard deviations, T-Test Independent Samples, Pearson correlation coefficient. The results of (T-Test Independent Samples) for the significance of the pre and post difference showed that there are   statistically significant differences for the variables of (heart pulse, blood glucose, systolic pressure and diastolic pressure). The results of  Pearson correlation coefficient test for the pre and post measurement also showed  that there are statistically significant differences for the physiological variable of (blood glucose) with regard to the variable of age. The study recommended not to rely on the reading of  the  heart pulse during the days of the full moon as an indicator of the heart pulse, especially for females. The study also recommends to conduct similar studies in different places of hot and cold  climates or high and low altitudes .


Author(s):  
Balanagireddy G. ◽  
Ananthajothi K. ◽  
Ganesh Babu T. R. ◽  
Sudha V.

This chapter contributes to the study of uncertainty of signal dimensions within a microscopic image of blood sample. Appropriate colocalization indicator classifies the leukocytes in the region of interest having ragged boundaries. Signal transduction has been interpreted using correlation function determined fluorescence intensity in proposed work using just another colocalization plugin (JaCoP). Dependence between the channels in the colocalization region is being analysed in a linear fashion using Pearson correlation coefficient. Manders split, which gives intensity, is represented in a channel by co-localizing pixels. Overlap coefficients are also being analysed to analyse coefficient of each channel. Li's intensity correlation coefficient is being used in specific cases to interpret the impact of staining.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246931
Author(s):  
Luis Carus ◽  
Isabel Castillo

Speed is a main factor affecting the kinematic of snow-sports accidents and the degree of severity of the resulting injuries. The aim of this study was to measure on-slope actual maximum speeds of snowboarders and to assess their ability to accurately them with regard to individual factors such as gender, skill level, age and risk-taking behaviour and actual maximum speed. The data were obtained from a sample of 312 (67% male, 33% female) adult recreational snowboarders taking lessons in one of the major resorts in the Spanish Pyrenees. The Pearson correlation coefficient was used to investigate the relationship between maximal measured actual speed and estimated speed for all participants. Multiple linear regression analysis was used to estimate the impact of individual factors on both the snowboarders’ actual maximum speed and their error of estimation. The Pearson correlation coefficient between estimated and actual maximum speed was 0.52 (P < 0.001) for all participants. They underestimated their actual maximum speed on average by 10.05 km/h or 28.62%. All assessed factors were shown to significantly affect the snowboarders’ actual maximum speed. However, gender, skill level, age and actual maximum speed were shown to significantly affect the snowboarders’ error of estimation, while risk-taking behavior did not. Gender, skill level, age and risk-taking behaviour are associated with the actual maximum speed at which snowboarders ride, while the same individual factors, except for risk-taking behaviour, and their snowboarding speed seem to affect the ability to estimate actual maximum speeds in adult recreational snowboarders. The ability to estimate actual speed accurately is an important factor to avoid accidents on ski slopes and, therefore, having snowboarders informed about the benefits of speed self-awareness is a key matter for prevention purposes.


2021 ◽  
Vol 3 (31) ◽  
pp. 107-118
Author(s):  
Anna Pluskota

The purpose of the article. The aim of the study is to show the impact of the key macroeconomic determinants of the credit risk of the banking sector in Poland in 2011–2020. This aim was achieved by analysis of the Pearson correlation coefficient and econometric models allowing to determine the impact of individual variables on the NPL index. Methodology: The empirical part includes the presentation and description of basic descriptive statistics, as well as the calculation of the Pearson correlation coefficient with the interpretation of the obtained results. The dynamic econometric model describing the variability of the NPL ratio was built using mainly macroeconomic variables. Results of the research: Research has shown the impact of changes in the unemployment rate and the inflation rate on credit risk. On the other hand, the impact of economic growth on the NPL ratio in the analyzed period was not statistically significant. The relationship between credit risk and changes in foreign exchange rates (CHF, USD, EUR) turned out to be negative in the analyzed period, which means that the increases in exchange rates of these currencies did not result in a significant burden of credit risk in the banking sector in Poland.


2021 ◽  
Vol 15 (6) ◽  
pp. 1644-1646
Author(s):  
Maryam Dezfooli ◽  
Marzieh Ramezani ◽  
Fatemeh Ahmad Beigi

The aim of this study was to investigate the relationship between the aesthetic dimension of media literacy and the academic performance of women in the 12th district of Tehran in 2018-2018. The statistical population in this study is 80 women interested in education and 66 people were selected as a sample using Morgan table. In fact, the whole statistical population was determined as a sample. The research tools are two questionnaires: media literacy and academic performance. Hassan Khani Media Literacy Questionnaire (2018) with 90% reliability and Pham and Taylor (1999) Academic Performance Questionnaire with 84% reliability were used. Data were analyzed using Pearson correlation coefficient and multivariate regression. The results showed that there is a significant relationship between academic performance and aesthetic components of media literacy. Keywords: media literacy, academic performance, aesthetics


2021 ◽  
Vol 4 (2) ◽  
pp. 37-49
Author(s):  
Aditia Djaja Tjiptobusono

The title of The Impact of Organizational Commitment on The Membership Growth in FGBMFI Chapter in East Java Region 1 in Surabaya, was chosen by the author in this research study. The author wants to know whether the organizational commitment can increase the membership growth, especially in FGBMFI Chapter in  East Java Region 1 in Surabaya. Pearson correlation coefficient and regression analysis, t-test and analysis of variance are used as the methods of analysis in this matter. Descriptive analysis was conducted to analyze the growth rate of members in FGBMFI Chapter in East Java Region 1 in Surabaya according to demographic groups. It turns out that organizational commitment has an influence, which is 39.4%, on the member growth in FGBMFI Chapter in East Java Region 1 in Surabaya.


2020 ◽  
pp. 217-226

INTRODUCTION: Resilience is considered a way of strengthening societies using their capacities which can be defined as the ability of systems to adapt to changes without collapsing at the incidence of disasters. To understand resilience and the way it is analyzed at the community level, it is necessary to study the societychr('39')s current condition and policies, as well as the measures adopted to reduce risk and how the risks in society are dealt with. This study aimed to assess the resilience of urban communities in the face of an earthquake. METHODS: This descriptive-analytical study was conducted using a questionnaire to collect the required data in Semnan, Iran, in 2019. The statistical population of this study (n=384) consisted of the citizens of Semnan selected using the Cochran formula and random sampling method. The collected data were analyzed in SPSS software (version 23) using mean and percentage for descriptive analysis and Pearson correlation coefficient and one-sample t-test for inferential statistical tests. FINDINGS: Based on the results, the sociocultural, infrastructural-physical, economic, and institutional-organizational dimensions showed the current condition of resilience in Semnan with the mean scores obtained as 2.59, 3.05, 2.17, and 2.56, respectively. It was also revealed that resilience had a significant relationship with age, education, income, accommodation ownership, employment, calculated by the Pearson correlation coefficient (P-value=0.99). CONCLUSION: The mean scores and significance level of the economic resilience in Semnan revealed that this city lacked economic resilience. In this regard, it can be noted that residentschr('39') lack of skills in other fields and jobs, lack of possessions outside the city, the vulnerability of residentschr('39') properties and assets, level of economic poverty in the city, citizenschr('39') limited financial ability to participate economically, and low level of household savings to compensate for earthquake damage have made returning to pre-crisis conditions highly difficult for citizens, and consequently, they cannot be economically resilient.


2020 ◽  
Vol 16 (1) ◽  
pp. 47-53
Author(s):  
Vicente Benavides-Córdoba ◽  
Mauricio Palacios Gómez

Introduction: Animal models have been used to understand the pathophysiology of pulmonary hypertension, to describe the mechanisms of action and to evaluate promising active ingredients. The monocrotaline-induced pulmonary hypertension model is the most used animal model. In this model, invasive and non-invasive hemodynamic variables that resemble human measurements have been used. Aim: To define if non-invasive variables can predict hemodynamic measures in the monocrotaline-induced pulmonary hypertension model. Materials and Methods: Twenty 6-week old male Wistar rats weighing between 250-300g from the bioterium of the Universidad del Valle (Cali - Colombia) were used in order to establish that the relationships between invasive and non-invasive variables are sustained in different conditions (healthy, hypertrophy and treated). The animals were organized into three groups, a control group who was given 0.9% saline solution subcutaneously (sc), a group with pulmonary hypertension induced with a single subcutaneous dose of Monocrotaline 30 mg/kg, and a group with pulmonary hypertension with 30 mg/kg of monocrotaline treated with Sildenafil. Right ventricle ejection fraction, heart rate, right ventricle systolic pressure and the extent of hypertrophy were measured. The functional relation between any two variables was evaluated by the Pearson correlation coefficient. Results: It was found that all correlations were statistically significant (p <0.01). The strongest correlation was the inverse one between the RVEF and the Fulton index (r = -0.82). The Fulton index also had a strong correlation with the RVSP (r = 0.79). The Pearson correlation coefficient between the RVEF and the RVSP was -0.81, meaning that the higher the systolic pressure in the right ventricle, the lower the ejection fraction value. Heart rate was significantly correlated to the other three variables studied, although with relatively low correlation. Conclusion: The correlations obtained in this study indicate that the parameters evaluated in the research related to experimental pulmonary hypertension correlate adequately and that the measurements that are currently made are adequate and consistent with each other, that is, they have good predictive capacity.


Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 156
Author(s):  
Charles Carlson ◽  
Vanessa-Rose Turpin ◽  
Ahmad Suliman ◽  
Carl Ade ◽  
Steve Warren ◽  
...  

Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +/− 0.15), dP/dtmax (Pearson correlation coefficient of 0.51 +/− 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +/− 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors’ knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection.


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