scholarly journals Public Trust in Healthcare System and Its Correlates during the COVID-19 Epidemic in Iran

2020 ◽  
Author(s):  
Hossein Molavi Vardanjani ◽  
Mohammad-Hadi Imanieh ◽  
Amir-Hossein Hassani ◽  
Kamran Bagheri-Lankarani
Keyword(s):  
Healthcare System ◽  
Economic Status ◽  
Rapid Assessment ◽  
Public Trust ◽  
Least Square ◽  
Cross Sectional ◽  
Ordinary Least Square ◽  
The Public ◽  
Ordinary Least Square Regression ◽  
Epidemic Communication

Abstract Background: Public trust in the healthcare system is a critical necessity of management in public health crises such as the COVID-19 pandemic. To rapidly assess the public trust in the healthcare system during the COVID-19 epidemic and its correlates in Iran.Methods: A cross-sectional rapid assessment was conducted in Iran during the COVID-19 epidemic in the country. A probability proportional to size multistage random sampling was applied. Sampling was done in 15 provinces. We collected data on public perceived fear, public trust in health system and socio-demographics. Ordinary least square regression modeling was applied to identify correlates of public trust.Results: A total of 5250 adults (response rate: 76%) were participated in the study. Mean of reported trust scores was 50.3±22.8, and of fear scores was 72.0±17.8. Being male (p=0.006), higher levels of education (p<0.001) and socio-economic status (p<0.001), and higher fear scores (p<0.001) were independently correlated with trust in healthcare system. Conclusion: At the time of the COVID-19 epidemic in Iran, public trust in healthcare system is low. A dynamic public epidemic communication with appropriate strategies to communicate with higher social classes is urgent in Iran. Rapid assessments to identify appropriate strategies are needed. These results might be generalizable to the other similar countries during the COVID-19 pandemic.

scholarly journals Public Trust in Healthcare System in Iran: A Rapid Assessment During the COVID-19 Epidemic in Iran

2021 ◽  
Vol 8 (4) ◽  
pp. 146-151
Author(s):  
Kamran Bagheri-Lankarani ◽  
Mohammad-Hadi Imanieh ◽  
Amir-Hossein Hassani ◽  
Hossein Molavi Vardanjani
Keyword(s):  
Public Health ◽  
Healthcare System ◽  
Economic Status ◽  
Rapid Assessment ◽  
Public Support ◽  
Public Trust ◽  
Sources Of Information ◽  
Cross Sectional ◽  
The Public ◽  
Policies And Programs

Background and aims: Public health policies and programs should be adapted to the level of public trust in the healthcare system, as an indicator of the public support level. Accordingly, the data about public trust level in the healthcare system is considered as a critical requirement for managing public health crises. This study aimed to rapidly assess the public trust in the healthcare system during the COVID-19 epidemic in Iran, as well as to evaluate the effect of socioeconomic status (SES) on this trust. Methods: This cross-sectional and web-based study which was conducted in Iran during the COVID-19 epidemic included adults aged 18-60 years. A probability proportional to size multistage random sampling was applied and performed in 15 provinces of the country. Data on the main sources of information about COVID-19, trust in healthcare system, fear level of COVID-19, and demographics were collected via an electronic questionnaire. Multiple linear regression was applied, and adjusted regression coefficients and 95% confidence intervals (CIs) were estimated. Results: A total of 5250 adults (response rate: 76%) were included in the study. The mean of reported trust scores was 50.3±22.8, and that of fear scores was 72.0±17.8. The highest (65%) and lowest (28%) levels of trust were observed among participants from the lowest and highest SES, respectively. Gender (male) (P=0.006), higher levels of education (P<0.001), higher socio-economic status (P<0.001), and higher fear scores (P<0.001) were independently correlated with the lower level of ⦰ trust in healthcare system. Conclusion: It was found that the public trust in Iran’s healthcare system was not high enough at the time of the COVID-19 epidemic in the country, especially among higher social class population.

Tacit knowledge transfer in coopetition

2017 ◽  
Vol 10 (4) ◽  
pp. 453-468 ◽  
Author(s):  
Amit Kumar ◽  
Swarup Kumar Dutta
Keyword(s):  
Knowledge Transfer ◽  
Tacit Knowledge ◽  
Least Square ◽  
Service Firms ◽  
Content Type ◽  
Ordinary Least Square ◽  
Tacit Knowledge Transfer ◽  
Potential Benefits ◽  
Ordinary Least Square Regression ◽  
Empirical Context

Purpose The purpose of this paper is to understand how firms affiliated to business groups (BGs) are able to improve their innovation capability (IC) when engaged in coopetition (collaboration between competing firms). This study aims to explore the relationship between coopetitive relationship strength (CRS), the extent of tacit knowledge transfer (TKT) and IC as well as examine the moderating effect of both BG affiliation and coopetitive experience. Design/methodology/approach The paper examines inter-firm relationships within the empirical context of Indian manufacturing and service firms, by adopting (ordinary least square) regression analysis to test the various hypotheses. The central thesis is that the TKT in coopetition constitutes an important driver to the IC. Findings The paper provides some evidence that inter-firm CRS influences the extent of TKT, and the extent of TKT affects firm IC. The results support that firms in coopetition gain more if their coopetitive partner has a BG affiliation. In absence of a BG affiliation of any of the coopetitive partners, the buildup of TKT reduces as CRS is increased. Research limitations/implications Additional large-sample of data may attempt to validate relationships. The study, however, did not consider all enablers that are critical for TKT. Despite these limitations, analysis provides important and novel perspectives. Practical implications The paper contributes to develop executives’ practices in understanding potential benefits of coopetitive relationship. The implications of this research are important for managers seeking understanding of the management of coopetition. Originality/value The paper makes a modest attempt to investigate the various scenarios of the presence or absence of the moderation of BGs and its impact on CRS in the buildup of TKT. This is the first attempt to link coopetition to the TKT in the BG literature. This study also contributes to our understanding of coopetition in a non-western context.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

scholarly journals THE ROLE OF HOUSEHOLD COMPOSITION IN EGG CONSUMPTION IN THE OBAFEMI AWOLOWO UNIVERSITY COMMUNITY

2021 ◽  
Vol 28 (1) ◽  
pp. 98-102
Author(s):  
A. B. AYANWALE ◽  
J. O. AJETOMOBI
Keyword(s):  
Demand Function ◽  
Household Composition ◽  
Least Square ◽  
Function Parameter ◽  
Parameter Estimates ◽  
Ordinary Least Square ◽  
Egg Consumption ◽  
Ordinary Least Square Regression ◽  
University Community

This paper exainîned the role of household composition in egg cunsumption in Obafemi Awolowo University Community. An Ordinary Least Square regression model was used to obtain at-home demand function parameter estimates for egg. Positive and signiflcant relationship was found between quantity of eggs consumed and both household size and the age of children. A 1% increase in each of the variables would cause a 4.68% and 5.71 % increase in egg consumption respectively. The need for education of the household on the importance of egg consumption and keeping an optimum family size was suggested based on the findings of the study.

scholarly journals THE EFFECT OF FINANCIAL EXPERTISE ON COMPENSATION AND BOARD OF DIRECTORS TURNOVER

2018 ◽  
Vol 2 (1) ◽  
pp. 51-64
Author(s):  
Danar Irianto ◽  
Nuranisa Anugerah
Keyword(s):  
Board Of Directors ◽  
Least Square ◽  
Graduate Degree ◽  
Board Size ◽  
Post Graduate ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Financial Expertise ◽  
Ordinary Least Square Regression ◽  
Financial Company

This research aims to explains association between financial expertise of directors to directors compensation and directors turnover of Indonesia non financial company in 2011-2012. Using ordinary least square regression we used four variables to define financial expertise of directors: age of the directors, tenure of the directors, the post-graduate degree (MBA), and the accounting certification (CPA). However, this study found no association financial expertise to compensation and directors turnover. We hope this study can contributes to financial expertise, compensation, and turnover literature. We also provide implications for companies in determining the compensation of directors based on financial expertise. Further research can be improve by add new variabel such as complexcity and board size.

scholarly journals DETERMINASI KEMISKINAN PENDUDUK JAWA TENGAH 2013-2017

2020 ◽  
Vol 2019 (1) ◽  
pp. 478-483
Author(s):  
Laeli Sugiyono ◽  
Maharanny Diwid Prasetyawati
Keyword(s):  
Time Series ◽  
Fixed Effect ◽  
Least Square ◽  
Cross Sectional ◽  
Ordinary Least Square

Penelitian ini bertujuan menganalisis determinasi pengungkapan kemiskinan penduduk di Jawa Tengah. Penelitian menggunakan data sekunder berupa data panel gabungan data time series 2013-2017 dan data cross-sectional kabupaten/kota. Analisis data menggunakan model regresi Ordinary Least Square (OLS) dan model Efek Tetap (Fixed Effect).Penelitian menyimpulkan bahwa daterminasi kemiskinan penduduk di Jawa Tengah dapat diungkapkan melalui perubahan IPM, tingkat pengangguran terbuka (TPT), upah minimum kabupaten/kota (UMK), dan pertumbuhan ekonomi (PE). TPT sebagai variabel bebas berpengaruh signifikan positif, sedangkan IPM dan UMK berpengaruh signifikan negatif pada taraf nyata 5% terhadap kemiskinan penduduk sebagai variabel tidak bebas (dependent).

Predictors of self-legitimacy among military police officers in São Paulo, Brazil

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Viviane de Oliveira Cubas ◽  
Frederico Castelo Branco ◽  
André Rodrigues de Oliveira ◽  
Fernanda Novaes Cruz
Keyword(s):  
Police Officers ◽  
Sao Paulo ◽  
Least Square ◽  
São Paulo ◽  
Military Police ◽  
Content Type ◽  
Organizational Variables ◽  
Ordinary Least Square ◽  
The Public ◽  
The Military

PurposeThe authors examine predictors of self-legitimacy for police officers belonging to the Military Police force of São Paulo (Brazil). Considering the variables mobilized by the literature on self-legitimacy, the authors seek to identify what explains the self-legitimacy of militarized police officers.Design/methodology/approachA survey was applied to 298 frontline police officers in the city of São Paulo, analyzing indicators separated into two groups: relationship dimension and organizational dimension. An ordinary least square model is used to test the “relationship” and “organizational” variables on police officers' self-legitimacy.FindingsEffectiveness is the strongest predictor for self-legitimacy. Organizational justice and distributive justice also present important effects, as the perception of citizens' attitudes toward police reinforces the conception of self-legitimacy as a dialogical construct, comprising here the public's expectations of police work as well as the police officers' perceptions that they are respected and considered important by the public.Originality/valueThere are no other studies on self-legitimacy related to Brazilian police officers or exploring these aspects among police officers submitted to a militarized structure. These results contribute to the ongoing debate on the militarization of police activities and their possible effects on police legitimacy.

Socio demographic determinants of BMI of Pakistani women: an evidence from PDHS (2017-18) using quantile regression analysis

2021 ◽  
Author(s):  
Asifa Kamal ◽  
Aqsa Asghar Ali ◽  
Sameena Irfan
Keyword(s):  
Quantile Regression ◽  
Economic Status ◽  
Household Head ◽  
Secondary Data ◽  
Wealth Index ◽  
Least Square ◽  
Obese Women ◽  
Ordinary Least Square ◽  
Under Nutrition ◽  
Pakistani Women

Abstract Objective: To explore the socio demographic determinants of nutritional status of Pakistani women. Methods: Secondary data from recent Pakistan Demographic and Health Survey (PDHS 2017-18) is taken. Data collection period is from 22 November 2017 to 30 April 2018. Ordinary least square (OLS) and quantile regression (QR) models are used for analysis. Results: QR model is found appropriate for BMI data to capture effect at different level of distribution of BMI. Less than 5% women are under nutrition for some categories of factors. Age of women, women’s education, frequency of watching TV, wealth index, husband’s education and region (KPK, Balochistan) showed a positive effect on women’s BMI in Pakistan across all conditional distribution of BMI. In contrary, age of women at first birth, women’s agriculture or manual working status, gender of household head (female) and region (Sindh) showed negative effect on women’s BMI in Pakistan. Conclusion: It is concluded that overweight/obesity is becoming serious problem as compared to undernutrition in Pakistani women. Percentage of deprived women is little and level of under nutrition is also not alarming.  Privileged women (with respect to education, economic status, urbanization, sedentary life style) have more chances to have higher BMI (overweight or obese). Women of KPK and Balochistan are at higher risk of overweight/ obesity as compared to Punjabi women. Keywords: PDHS 2017-18, Ordinary Least Square (OLS), Quantile Regression (QR) Model, Continuous....

IPO valuation using the price-multiple methods: evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chui Zi Ong ◽  
Rasidah Mohd-Rashid ◽  
Kamarun Nisham Taufil-Mohd
Keyword(s):  
Initial Public Offerings ◽  
Stock Exchange ◽  
Least Square ◽  
Multiple Methods ◽  
Cross Sectional ◽  
Ols Regression ◽  
Content Type ◽  
Public Offerings ◽  
Ordinary Least Square ◽  
Valuation Method

Purpose This study aims to investigate the valuation accuracy of Malaysian initial public offerings (IPOs) by using price-multiple methods. Design/methodology/approach Cross-sectional data including 467 IPOs listed on the Malaysian stock exchange were used for the period of 2000–2017. This study used univariate ordinary least square (OLS) regression to analyse the relationship between IPOs’ price-multiples and comparable firms’ price-multiples. The test of valuation accuracy was conducted via computing valuation errors by segregating the sample into two groups: fixed-price IPOs and book-built IPOs. Furthermore, multiple OLS regression was used to examine the influence of IPO valuation on underpricing. Findings The findings of the results suggested that IPOs price-to-earnings (P/E), price-to-book (P/B) and price-to-sales (P/S) multiples were positively related to the median P/E, P/B and P/S multiples of five comparable firms matched by industry and revenues. The P/S multiple was shown to be the most significant valuation method, specifically in book-built IPOs. The findings indicated that those firms that had a lower valuation in comparison to the comparable firms were inclined to underprice their IPOs to allure investors to subscribe IPOs. In addition, book-built IPOs that had fair valuations were inclined to generate higher initial returns for investors. Practical implications The findings of this study observed implications for underwriters in avoiding the mis-valuation issue by considering the book-building mechanism. Originality/value This study attempted to explore the suitability of the valuation method to value IPOs in Malaysia.

What Are the Leading Bank-Specific and Macroeconomic Factors Influencing Islamic Bank Performance?

2021 ◽  
pp. 153-171
Author(s):  
Mosharrof Hosen
Keyword(s):  
Positive Impact ◽  
Least Square ◽  
Capital Adequacy ◽  
Islamic Banks ◽  
Cross Sectional ◽  
Macroeconomic Factors ◽  
Mena Countries ◽  
Ordinary Least Square ◽  
Islamic Bank ◽  
Asset Quality

Despite the proven sustainability and growth of Islamic banks during the financial crisis period, many scholars criticise the current performance of Islamic banks. Therefore, policymakers are continuously getting worried due to inconclusive finding of different research related to Islamic bank profitability. To shed the light of raising concern, this study investigates the issue from considering both macroeconomic and bank-specific factors. The annual cross-sectional data has been collected from 46 Islamic banks in 10 selected MENA countries over the period 2015-2019. The standardized pooled ordinary least square (OLS) approach's findings revealed that bank size, capital adequacy, GDP, and inflation have a significant positive impact on Islamic banks' return on asset, but asset quality has no significant effect on ROA. In contrast, most of the variables have an insignificant effect of ROE. Investors, financial analysts, and policymakers will get benefits from this study's results to secure their investment by successfully controlling the above-mentioned leading factors.

Sign in / Sign up

Export Citation Format

Share Document