scholarly journals The Effect of Nepotism on Organizational Silence, Alienation and Commitment: A Study on Hotel Employees in Turkey

2015 ◽  
Vol 7 (4) ◽  
pp. 82 ◽  
Author(s):  
Elbeyi Pelit ◽  
Füsun İstanbullu Dinçer ◽  
İbrahim Kılıç
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Standard Deviation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Group Factor ◽  
Correlation And Regression Analysis ◽  
Hotel Employees ◽  
Organizational Silence ◽  
Study Results

<p>The aim of this study is to determine the effect of nepotism on organizational silence, alienation and commitment. As a data collecting method a questionnaire which contains nepotism, organizational silence, alienation and commitment scales was used. It was applied on 662 employees working in 30 five star hotels in Turkey. Since nepotism covers the practices in establishments in which family-relative relations are concentrated, the hotels included in the sampling group have been selected from establishments whose proprietors are a part of a family/family group. Factor analysis, Cronbach’s Alpha, mean, standard deviation, correlation and regression analysis were used to analyze the acquired data. The study results revealed that nepotism has a positive relationship with organizational silence and alienation and a negative relationship with organizational commitment. </p>

Role of Microfinance for Entrepreneurial Success

2021 ◽  
Vol 11 (1) ◽  
pp. 1-16
Author(s):  
Mufaro Dzingirai ◽  
Neeta Baporikar
Keyword(s):  
Regression Analysis ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Business Owners ◽  
Entrepreneurial Success ◽  
Scale Type ◽  
Correlation And Regression Analysis ◽  
Strong Positive Relationship ◽  
Spearman’S Correlation

The main objective of the paper is to analyze the influence of microfinance on entrepreneurial success of Zimbabwean SMEs. Adopting explanatory research design with a sample that constitutes 120 business owners of SMEs in Gweru district data collection was through questionnaire administering that used Likert scale-type questions. The hypotheses are analyzed using Spearman's correlation and regression analysis in order to empirically establish the influence of microfinance on entrepreneurial success. The main regression results show a strong positive relationship between microfinance and entrepreneurial success, a weak negative relationship between the business owner's age and entrepreneurial success, and a positive relationship between the level of studies and entrepreneurial success of Zimbabwean SMEs.

An Effectiveness Model for Enterprise Architecture Methodologies

2015 ◽  
Vol 11 (2) ◽  
pp. 50-64 ◽  
Author(s):  
Babak Darvish Rouhani ◽  
Mohd Naz'ri Mahrin ◽  
Hossein Shirazi ◽  
Fatemeh Nikpay ◽  
Bita Darvish Rouhani
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Positive Relationship ◽  
Enterprise Architecture ◽  
Survey Study ◽  
Effectiveness Model ◽  
Five Factors ◽  
Proposed Model ◽  
Integrated Environment ◽  
Implementation Methodology

Enterprise Architecture (EA) is employed by enterprises for providing integrated environment to support the alignment of enterprise's business and Information Technology (IT). EA Implementation Methodology (EAIM) provides methods for managing, developing, and maintaining EA implementation. Several EAIMs have been proposed in literature; however effectiveness of EAIM has mostly been anecdotal, and research on this subject is still scant in the academic circles. This research is a survey study on the factors that affect the effectiveness of EAIM using quantitative approach. This study aims to explore the factors that affect the effectiveness of EAIM and proposed the effectiveness model for EAIMs. The exploratory factor analysis highlights a specific set of five factors: alignment, adaptiveness, support, binding, and innovation. The regression analysis shows that there is a statistically significant and positive relationship between each of the five factors and the effectiveness of EAIM. The findings contribute to the measurement of the EA implementation's effectiveness by providing an indication of the measurement implementation approaches which is used by the EA practitioners. Moreover, the proposed model can be used on developing an effective EAIM.

scholarly journals Διερεύνηση της αποτελεσματικότητας της εκπαίδευσης των επαγγελματιών υγείας στην ετοιμότητα για μαζικές καταστροφές

2017 ◽  
Author(s):  
Νικόλαος Μητρόπουλος
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Standard Deviation ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Interquartile Range ◽  
Standard Errors ◽  
Mcnemar Test ◽  
Rotation Method

Εισαγωγή: Τα τελευταία χρόνια, συμβαίνουν όλο και πιο συχνά συμβάντα μαζικών καταστροφών, όπως οι μετανάστες από την Συρία (2015), τα τρομοκρατικά χτυπήματα του ISIS στις Βρυξέλλες (2016), η αιματηρή πρωτοχρονιά του (2017) της Κων/πολης, τα οποία μας δίνουν την πραγματική διάσταση του μεγέθους του προβλήματος της καταστροφής, των απωλειών της ανάγκης διαχείρισης των κρίσεων και την καλλιέργεια της γνώσης για την διαχείριση των κρίσεων.Σκοπός: Η διερεύνηση του τρόπου, των μεθόδων και του επιπέδου, με τα οποία οι επαγγελματίες υγείας εκπαιδεύονται στην εφαρμογή βασικών σχεδίων αντιμετώπισης και διαχείρισης μαζικών καταστροφών και αντιμετώπισης των κρίσεων. Επιπλέον, διερευνώνται ο ποιοτικός και ποσοτικός προσδιορισμός της ζήτησης υπηρεσιών διαχείρισης κρίσεων και ο ρόλος των διαχειριστών, προκειμένου να διατυπωθούν προτάσεις για την εκπαίδευσή τους.Μεθοδολογία: Το δείγμα της μελέτης αποτέλεσαν 1000 επαγγελματίες υγείας εκ των οποίων 281 δεν έδωσαν συγκατάθεση συμπλήρωσης και κατά συνέπεια το τελικό δείγμα της μελέτης αποτέλεσαν 719 επαγγελματίες υγείας Δευτεροβάθμιων και Τριτοβάθμιων Νοσηλευτικών Ιδρυμάτων της 6ης Υγειονομικής Περιφέρειας Πελοποννήσου Ιονίων Νήσων, Ηπείρου και Δυτικής Ελλάδας. Στην πρώτη φάση της μελέτης πραγματοποιήθηκε κατασκευή νέου ερωτηματολογίου το οποίο στηρίχθηκε στην βοήθεια της Ελληνικής Εταιρείας Διαχείρισης Κρίσεων στον Τομέα Υγείας. Στη δεύτερη φάση της μελέτης, πραγματοποιήθηκαν δυο εκπαιδευτικές παρεμβάσεις: Μία εκπαιδευτική παρέμβαση στο Γενικό Νοσοκομείο Τρίπολης και μία στο Γενικό Νοσοκομείο Κορίνθου τον Μάιο του 2017 σε σύνολο 55 επαγγελματιών υγείας οι οποίες περιελάμβαναν την διανομή ειδικά διαμορφωμένου ερωτηματολογίου αξιολόγησης γνώσεων πριν και μετά την εκπαιδευτική παρέμβαση. Οι μέσες τιμές (mean), οι τυπικές αποκλίσεις (Standard Deviation=SD) και οι διάμεσοι (median) και τα ενδοτεταρτημοριακά εύρη (interquartile range) χρησιμοποιήθηκαν για την περιγραφή των ποσοτικών μεταβλητών. Οι απόλυτες (Ν) και οι σχετικές (%) συχνότητες χρησιμοποιήθηκαν για την περιγραφή των ποιοτικών μεταβλητών. Για τη σύγκριση των ποσοστών των συμμετεχόντων που απάντησαν σωστά στις ερωτήσεις γνώσεων πριν και μετά την παρέμβαση χρησιμοποιήθηκε το McNemar test. Για τη σύγκριση ποσοτικών μεταβλητών μεταξύ δυο ομάδων χρησιμοποιήθηκε το μη παραμετρικό κριτήριο Mann-Whitney. Για τον έλεγχο της σχέσης δυο ποσοτικών μεταβλητών χρησιμοποιήθηκε ο συντελεστής συσχέτισης του Spearman (r). Η συσχέτιση θεωρείται χαμηλή όταν ο συντελεστής συσχέτισης (r) κυμαίνεται από 0,1 έως 0,3, μέτρια όταν ο συντελεστής συσχέτισης κυμαίνεται από 0,31 έως 0,5 και υψηλή όταν ο συντελεστής είναι μεγαλύτερος από 0,5. Για την διερεύνηση της δομής του ερωτηματολογίου χρησιμοποιήθηκε “factor analysis” (Rotation Method: Varimax). Η ανάλυση γραμμικής παλινδρόμησης (linear regression analysis) με τη διαδικασία διαδοχικής ένταξης/αφαίρεσης (stepwise) χρησιμοποιήθηκε για την εύρεση ανεξάρτητων παραγόντων που σχετίζονται με τις βαθμολογίες γνώσεων από την οποία προέκυψαν συντελεστές εξάρτησης (β) και τα τυπικά σφάλματά τους (standard errors=SE). Η ανάλυση γραμμικής παλινδρόμησης έγινε με τη χρήση λογαριθμικών μετασχηματισμών. Τα επίπεδα σημαντικότητας είναι αμφίπλευρα και η στατιστική σημαντικότητα τέθηκε στο 0,05. Για την ανάλυση χρησιμοποιήθηκε το στατιστικό πρόγραμμα SPSS 19.0. Αποτελέσματα: Το 76,3% των ατόμων του συνολικού δείγματος και το 70,9% του δείγματος παρέμβασης ήταν γυναίκες. Η πλειοψηφία και των δύο δειγμάτων περιείχε άτομα με 20-30 έτη προϋπηρεσίας, με τα ποσοστά να είναι 36,7% και 40,5% για το συνολικό δείγμα και το δείγμα παρέμβασης αντίστοιχα. Το ίδιο ποσοστό συμμετεχόντων (18,5%) και στα δύο δείγματα είχαν θέση ευθύνης. Ακόμα, οι περισσότεροι από τα δύο δείγματα ήταν νοσηλευτικό προσωπικό, με τα ποσοστά να είναι 65,2% και 87,0% για το συνολικό δείγμα και το δείγμα παρέμβασης αντίστοιχα. Μόνο το 7,4% των συμμετεχόντων συμμετείχε στην ομάδα του ΠΕΡΣΕΑ. Επίσης, το 35,1% των συμμετεχόντων γνώριζε τις διαδικασίες διαχείρισης ασθενών σε εξαιρετικά μολυσματικά νοσήματα. Το 9,0% γνώριζε το χρόνο και τον τρόπο ενεργοποίησης ενός σχεδίου εκτάκτου ανάγκης και το 10,0% γνώριζε πού έχει οριστεί το κέντρο επιχειρήσεων του Νοσοκομείου, σε περίπτωση μαζικής καταστροφής.Η γνώση και ενημέρωση σχετικά με την ετοιμότητα για μαζικές καταστροφές διέφερε σε πολλές περιπτώσεις ανάλογα με το φύλο των συμμετεχόντων. Επίσης σε πολλές περιπτώσεις βρέθηκε οι νοσηλευτές να είναι πιο ενημερωμένοι από τους γιατρούς, ενώ πιο ενημερωμένοι φάνηκαν αυτοί με τα υψηλότερα χρόνια προϋπηρεσίας (p<0.05) και αυτοί οι οποίοι συμμετείχαν στην ομάδα του ΠΕΡΣΕΑ (p<0.05).Συμπεράσματα: Οι επαγγελματίες υγείας αντιμετωπίζουν έναν σημαντικό αριθμό ατυχημάτων και καταστροφών. Επίσης τα επιχειρησιακά σχέδια διαχείρισης μαζικών καταστροφών, που διαχειρίζονται οι επαγγελματίες υγείας χρησιμοποιούνται πολύ ποιο συχνά τα τελευταία χρόνια σε σχέση με παλιότερα. Η άγνοια αλλά και η ανεπαρκής γνώση των σχεδίων καθιστά δύσκολη την διαχείριση μιας ενδεχόμενης μαζικής καταστροφής. Οι ομάδες διαχείρισης κρίσεων απαιτείται να διαθέτουν ιδιαίτερες γνώσεις και δεξιότητες. Η γνώση της διαχείρισης κρίσεων δεν είναι επαρκής σε όλα τα επίπεδα εκπαίδευσης που απαιτείται από τις ανάγκες και πρέπει να διδάσκεται σε όλα τα επίπεδα εκπαίδευσης. Η εκπαίδευση βελτιώνει το επίπεδο των γνώσεων και των πρακτικών των διαχειριστών κρίσεων. Απαιτείται συνεχιζόμενη εκπαίδευση και επικαιροποίηση των γνώσεων.

scholarly journals ANALISA VARIABEL-VARIABEL YANG MEMPENGARUHI PROFITABILITY NET MARGIN

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Dra. Rr. Sri Diniarti, S.E.
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Multiple Regression Analysis ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Field Research ◽  
The Other ◽  
Coefficient Of Determination ◽  
Net Margin ◽  
The Relationship

This research is an explanatory research, because it explaining about the relationship among the hypnotized variables. This research aims to knowing about the relationship and the influence between the accounts, location to the other bank, and loans to the net margin in Bank Jatim Madiun. The results are between accounts to net margin has positive relationship, between location to another bank to net margin has negative relationship, and between loans to net margin has positive relationship. Together, the variables have strong enough relationship to net margin, it showing by coefficient of determination value is 0,956, it means that the value close to 1. So, 4,4% of Profitability Net Margin influenced by the others variables.The method of research was by using field research that including observation, interview and library research.The analyzing data method was by using Multiple Regression Analysis, Correlation Analysis, and Coefficient of Determination Analysis.

scholarly journals Sexual Desire and Materialism as Predictors of Marital Satisfaction among Men

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Seema Vinayak ◽  
Bita Noktehdan ◽  
Rohin Vinayak
Keyword(s):  
Regression Analysis ◽  
Family Therapy ◽  
Marital Satisfaction ◽  
Sexual Desire ◽  
Significant Relationship ◽  
Negative Relationship ◽  
Correlation And Regression Analysis ◽  
Material Values ◽  
Age Range

Background and aim: Considering the importance of marital satisfaction in married life and its relation to health and happiness, this research aimed to investigate the role of sexual desire and materialism in marital satisfaction among Iranian males. Method: In this study, 240 married males in the age range of 25-46 years were selected randomly among the employees in government sections in Tehran-Iran. The participants responded to standard questionnaires of Hurlburt Index of Sexual Desire, Material Values Scale and Enrich marital satisfaction. Correlation and Regression analysis were done. Results: Results indicated that sexual desire was positively related to marital satisfaction. Negative relationship occurred between materialism and marital satisfaction. The study revealed that sexual desire and materialism emerged as predictors of marital satisfaction. Conclusion: Inconsistent with previous findings, a significant relationship emerged between materialism and marital satisfaction as well as sexual desire. These factors can play an important role in family therapy and happiness.

scholarly journals PENGARUH IPM, PDRB DAN JUMLAH PENGANGGURAN TERHADAP PENDUDUK MISKIN DI PROVINSI JAMBI

2017 ◽  
Vol 1 (1) ◽  
pp. 113 ◽  
Author(s):  
M Alhudhori
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Positive Relationship ◽  
Central Government ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Multiple Linear Regression Analysis ◽  
The Poor ◽  
Poor Population

In fact the construction economy is rangkayan activity by exploiting the whole potential of the basic capital as epektif and efficiently through perancanaan kesejahtraanin order to improve society. The fulfillment of the basic needs of the society especially health, education, food and nutrition is something very fundamental in the context of the development of community welfare (welfare), human development (humandevelopment) and reduction of poverty (poverty reduction). Strategic issues in the governance of the Jambi province are not much different from the Central Government (the problem), namely the still high number of poverty. Based on multiple linear regression analysis of the HDI have a positive relationship towards the poor population where if the HDI rose 1 percent then the number of poor population will rise of0.358. Based on multiple linear regression analysis of the GDP had a negative relationship toward the poor population, which if GDP rises 1 percent then the number ofpoor population will be down by-0.006. Multiple linear regression analysis based onthe number of unemployment has positive relationship towards the poor population where if the number of unemployed rose 1 percent then the number of poor population will rose by 0.010.Keyword: influence of IPM, PDRB and the number of unemployed

scholarly journals INFLUENCE OF TIME OF BIO - AND HUMIC FERTILIZERS APPLICATION ON PRODUCTIVITY OF SPRING CROPS MULTI-ROW BARLEY

2020 ◽  
pp. 36-41
Author(s):  
V.Е. Kamalakhin ◽  
◽  
N.N. Ivanova ◽  
V.I. Kargin ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Positive Relationship ◽  
Spring Barley ◽  
Maximum Increase ◽  
Potassium Humate ◽  
Research Results ◽  
Correlation And Regression Analysis ◽  
The Third ◽  
Time Treatment

This article presents the results of research of the influence of bio-and humic preparations on the productivity of spring multi-row barley. It was concluded that they have an effective influence on plants. Studies have shown that when processing crops with potassium HUMATE in the tillering phase and entering the tube, the largest numbers of barley plants were preserved for harvesting and a higher productive bushiness compared to the control was observed. The third use of the preparation slightly reduced studied indicators. It was also established that, on average, for 3 years of research, the use of potassium HUMATE in the tillering phases, entering the tube and earning contributed to a significant increase in the number of grains in the ear and the mass of 1000 seeds. The research results indicate that the yield of spring multi-row barley of Vakula variety significantly changed according to experiment varieties. The maximum increase was provided by three-time treatment of crops with potassium HUMATE. After conducting a correlation and regression analysis, it can be concluded that the yield of spring barley was equally dependent on the elements of productivity. There was a close positive relationship. Consequently, the productivity of spring multirow barley plants is significantly influenced by bio-and humic preparations.

scholarly journals An Investigation of the Relationship between Sukuk and the Performance of banks of Pakistan

2019 ◽  
Vol 19 (1) ◽  
pp. 53-66
Author(s):  
Sitara Bibi ◽  
Fatima Mazhar
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Panel Data ◽  
Positive Relationship ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Adverse Impact ◽  
Significant Positive Relationship ◽  
Two Stages ◽  
The Relationship

Using panel data analysis, this study investigates the relationship among Islamic bonds (Sukuk) and the performance of IB’s of Pakistan for the period of 2008-2017. The study has used two stages approach. At the first stage, the profitability and liquidity of banks have been measured by calculating financial ratios. These ratios were than further used in regression analysis to examine whether a relationship exists between Sukuk and the bank’s profitability and liquidity. Our study found a significant positive relationship among Sukuk and the liquidity of IB’s. While, the results show significant but negative relationship between Sukuk and profitability of IB’s. Based on the findings of the study, we concluded that Sukuk has an important role in enhancing the liquidity of IB’s but it has adverse impact on the profitability of IB’s of Pakistan. Thus, the emergence of Sukuk market may pose threats to the profitability of the IB’s of Pakistan.

scholarly journals Examining the Relationship between the Fear of COVID-19, Resilience and Religion

2021 ◽  
Vol 8 (3) ◽  
pp. 180-192
Author(s):  
Yunus ALTUNDAĞ ◽  
Sümeyye ALTUNDAĞ
Keyword(s):  
Positive Relationship ◽  
Personal Information ◽  
Negative Relationship ◽  
T Test ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Global Pandemic ◽  
Resilience Scale ◽  
Relationship Of ◽  
The Relationship

The relationship of fear of COVID-19, resilience, and religiosity in the COVID-19 Global Pandemic, which affects life in many areas of psychological, social, economic, cultural, religious, has been examined in this study. In this study, 337 people, including 219 women (65%) and 118 men (35%), participated. The present research was a descriptively based quantitative study based on the relational survey model. COVID-19 Fear Scale, Brief Resilience Scale and Religiosity Scale were used to collect data. In addition, a Personal Information Form was used to obtain information and opinions about COVID-19 and determine demographic characteristics. The t-test, correlation and regression analysis were used in statistical processes. The findings obtained in this research showed that women have more fear of COVID-19 than men, and men have higher resilience and religiosity scores than women. In addition, it was observed that there was a significant and negative relationship between the fear of COVID-19 and resilience, religiosity and age, a significant and positive relationship between resilience and religiosity and age, and a significant and positive relationship between religiosity and age. Finally, it was found that resilience, religiosity and age together were predictors of COVID-19 fear. However, when looking at the t-test results of the significance of the regression coefficients, it was seen that only resilience was a significant predictor of COVID-19 fear. The findings obtained are discussed in light of the literature.

scholarly journals APPLICATION OF THE ECONOMETRIC APPROACH TO FORECASTING THE KEY INDICATORS IN RENTAL OPERATIONS

2020 ◽  
pp. 106-116
Author(s):  
Valerii Ilin ◽  
Serhii Rohoznyi
Keyword(s):  
Regression Analysis ◽  
Information Search ◽  
Quantitative Research ◽  
Time Series Data ◽  
Statistical Processing ◽  
Series Data ◽  
Analysis Model ◽  
Quantitative Research Methods ◽  
Correlation And Regression Analysis ◽  
Study Results

Introduction. Lease is considered one of the alternative forms of financing and a means of providing production and economic activities with the necessary assets. Leasing operations are relevant and cost-effective for small and medium-sized businesses, which do not always have enough resources to buy their own premises, equipment, etc. Leases have many characteristics and can be described using quantitative research methods. Methods. The practical application of scientific methods in our study is as follows: dialectical - to determine general approaches to research; monographic - in relation to the in-depth study of certain social phenomena; scientific knowledge - to determine a certain "perspective" of research as an assumption about the most relevant to the study of the selected problem characteristics of the object; abstract-logical - in order to return from the formulated scientific abstractions again to the study of the concrete and the formulation of the necessary conditions for its further existence and development in a logical sequence; scientific generalization - regarding the generalization of scientific facts and results based on the study, as well as methods of statistical processing of information, using methods of obtaining such quantities and qualitative characteristics, which are not directly in the economic information of the enterprise under study. Results. The article analyzes the influence of various factors on the amount of rent using correlation and regression analysis. The structure of leasing agreements and lease transactions in Ukraine by the volume of sold services is analyzed. Leasing operations in Ukraine by the volume of realized services in terms of real estate lease and the amount of rent in the studied lease agreements are considered. A linear model based on a spatial series of data is built, and its quality is checked. The initial model was modified taking into account the information about the statistical insignificance of individual variables. The forecast of the rent indicator is made taking into account the set factor indicators. Discussion. A promising area of further research is to improve the model by analyzing additional array of information (search for additional significant factors), as well as the use of econometric tools to analyze time series data in terms of lease and use them for short-term forecasting. Keywords: lease (rent), leasing, rental, correlation and regression analysis, model, forecasting.

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