scholarly journals Evaluating e-Government Services in Kurdistan Institution for Strategic Studies and Scientific Research Using the EGOVSAT Model

2016 ◽  
Vol 1 (2) ◽  
pp. 1-7 ◽  
Author(s):  
Bryar A. Hassan ◽  
Aram M. Ahmed ◽  
Soran A. Saeed ◽  
Awin A. Saeed

Office automation is an initiative used to digitally deliver services to citizens, private and public sectors. It is used to digitally collect, store, create, and manipulate office information as a need of accomplishing basic tasks. Azya Office Automation has been implemented as a pilot project in Kurdistan Institution for Strategic Studies and Scientific Research (KISSR) since 2013. The efficiency of governance in Kurdistan Institution for Strategic Studies and Scientific Research has been improved, thanks to its implementation. The aims of this research paper is to evaluate user satisfaction of this software and identify its significant predictors using EGOVSAT Model. The user satisfaction of this model encompasses five main parts, which are utility, reliability, efficiency, customization, and flexibility. For that purpose, a detailed survey is conducted to measure the level of user satisfaction. A total of sixteen questions have distributed among forty one users of the software in KISSR. In order to evaluate the software, three measurement have been used which are reliability test, regression analysis and correlation analysis. The results indicate that the software is successful to a decent extent based on user satisfaction feedbacks obtained by using EGOVSAT Model.

2020 ◽  
Vol 24 (2) ◽  
pp. 13-23
Author(s):  
EVA ROSDIANA ◽  
HADI SUHARNO ◽  
UMI KULSUM

This research was conducted at the Online Shopee among the Faculty of Law students of the Islamic University of Syekh Yusuf, Tangerang. The method used was SPSS version 25, a population of 700 people with a sample of 88 people. And in this research using descriptive analysis, validity test, reliability test, normality test, multicollinearity test, heterokedasticity test, autocorrelation test, regression analysis, correlation analysis, t test, F test, and coefficient of determination The results of this research are price variables, diversity product, and buying interest have a significant effect on purchasing decisions.


2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.


2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Fitriana Fitriana ◽  
Umi Farida ◽  
Tegoeh Hari Abrianto

This study aims to determine the effect of motivation, self awareness and communication on the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency. The location of research in Pramuka Street Number 21, Nologaten, Ponorogo Regency. The population in this study was 102 employees. The sample in this study used 50 respondents. Data collection techniques using questionnaires, then tested with validity and reliability test, while the method of data analysis using multiple regression analysis with the help of SPSS and hypothesis testing partially or simultaneously. The results showed that; (1) Motivation partially influences the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with a regression coefficient of 0.317, t value of 2.903> t table of 2.012 and sig. of 0.006 <0.05, (2) Self Awareness partially influences the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the results of the regression coefficient of 0.409, t value of 3.478> t table of 2.012 and sig. of 0.001 <0.05, (3) Communication partially influences the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the results of a regression coefficient of 0.310, t value of 2.178> t table of 2.012 and sig. of 0.035 <0.05, (4) Motivation, self awareness and communication simultaneously affect employee work discipline in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the calculated F value of 14.807> F table 2.81 and sig value. of 0,000 <0.05, (5) Self awareness is the most dominant variable affecting the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the result of self awareness variable t value of 3.478 is greater than the value of t variable count motivation and communication variables. Furthermore, from the value of sig. the variable self awareness of 0.001 is smaller than the value of sig. motivation variable and communication variable.


2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.


2017 ◽  
Vol 1 (21) ◽  
pp. 49-63
Author(s):  
Zdzisław Kaliniewicz ◽  
Piotr Markowski ◽  
Andrzej Anders ◽  
Paweł Tylek ◽  
Zbigniew Krzysiak ◽  
...  

The basic dimensions and the mass of common beech nuts and seeds from five nut batches, harvested from tree stands in northern Poland, were determined. Environmental conditions had a greater influence on seed plumpness than the age of tree stands. The results of measurements were analyzed statistically by analysis of variance, correlation analysis and linear regression analysis. Despite differences in their plumpness, nuts were characterized by nearly identical cross-sections which resembled an equilateral triangle. The thickness of nuts and seeds was highly correlated with their mass, and this information can facilitate seed husking and separation into mass categories. Before and after husking, seeds should be separated with the use of a mesh screen with longitudinal openings. Medium-sized (most numerous) seeds were separated into the following plumpness categories using a screen separator with ≠6 mm and ≠7 mm openings: 84% of moderately plump seeds, 3% of seeds with reduced plumpness, and 13% of plump seeds.


2021 ◽  
Vol 13 (10) ◽  
pp. 5708
Author(s):  
Bo-Ram Park ◽  
Ye-Seul Eom ◽  
Dong-Hee Choi ◽  
Dong-Hwa Kang

The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in highly leaky units could be up to 1.59 times higher than that in airtight units.


Author(s):  
Putri Azizi ◽  
Ai Elis Karlinda ◽  
Mardhatila Fitri Sopali

This study aims to determine how much influence Organizational Culture, Career Development, and Self Efficacy have on Employee Performance. The analytical method used is correlation analysis and multiple regression. The method of data collection in this study is to use a questionnaire filled out by respondents, namely employees of PT. Padang Post. From the results of multiple regression analysis, it shows that: (a) organizational culture has a partially significant effect on employee performance, (b) career development has a partially significant effect on employee performance, (c) self-efficacy has a partially significant effect on employee performance development, (d) ) organizational culture, career development and self-efficacy together on career development, (e) the contribution of organizational culture, career development, and self-efficacy variables together on employee performance is 71.4% while the remaining 28.6 % influenced by other variables not examined in this study. 


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.


2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.


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