scholarly journals EFFECT OF INTEGRATED INFORMATION TECHNOLOGY ON SUSTAINABLE MOBILITY OF MATATU SACCOS IN NAIROBI COUNTY, KENYA

2021 ◽  
Vol 6 (1) ◽  
pp. 63-73
Author(s):  
Priscilla Muhoro
Keyword(s):  
Information Technology ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Causal Effect ◽  
Vehicle Tracking ◽  
P Value ◽  
Sustainable Mobility ◽  
Research Findings ◽  
Tracking Devices ◽  
Integrated Information

Purpose: The purpose of this study was to establish the effect of integrated information technology on sustainable mobility of Matatu Saccos in Nairobi County, Kenya. Materials and Methods: The study was guided by Positivism philosophy while descriptive research design was adopted. The target population was 177 Sacco Managers and two representatives, one from MOT and other from MVOA respectively.  The whole population of 179 respondents was used in the study hence; the study employed the census approach. The questionnaire was pilot tested on 18 respondents who were selected randomly. The study applied Cronbach's alpha and the results displayed a high level of internal consistency hence infers that the research tool used in the study was reliable. The data collection instrument was a semi-structured questionnaire, which were dropped and picked later. A semi-structured interview guide was also used. Data was analysed using descriptive and SPSS Version 24. Results: The research findings indicatd that most Saccos have embraced speed-recording devices, vehicle-tracking devices, and that Sacco’s were using smartphones. Correlation analysis showed that information technology had a strong positive significant relationship on sustainable mobility of Matatu Saccos in Nairobi County, Kenya (rho = 0.821, p value <0.05). This was confirmed by regression analysis which showed positive and significant influence of integrated information on sustainable mobility (β = 1.140, t statistics = 16.582, p value <0.05).  This suggested that there is a causal effect of IIT on sustainable mobility. Unique contribution to theory, practice and policy: The research findings indicated that most Saccos have embraced speed-recording devices, vehicle-tracking devices, and that Sacco’s were using smartphones. Correlation analysis showed that information technology had a strong positive significant relationship on sustainable mobility of Matatu Saccos in Nairobi County, Kenya (rho = 0.821, p value <0.05). This was confirmed by regression analysis which showed positive and significant influence of integrated information on sustainable mobility (β = 1.140, t statistics = 16.582, p value <0.05).  This suggested that there is a causal effect of IIT on sustainable mobility.

scholarly journals Effect of Information Technology, Satisfaction and Motivation to Teacher Performance

2018 ◽  
Vol 5 (1) ◽  
pp. 4370-4378 ◽  
Author(s):  
Rahmad Wahyudi ◽  
Djoko Poernomo ◽  
Zarah Puspitaningtyas
Keyword(s):  
Information Technology ◽  
Elementary School ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Teacher Performance ◽  
Linear Regression Analysis ◽  
Civil Servant ◽  
Multiple Linear Regression Analysis ◽  
Research Findings

This study aims to determine the effect of information technology, satisfaction and motivation on teacher performance. Respondents are civil servant teachers of Public Elementary School in Kendit sub-district, Situbondo district, amounting to 104 teachers, which amounts to 104 teachers. The sample size is 83 people. Research using multiple linear regression analysis. The research findings show that there is no influence between information technology variables on teacher performance. While the variable of satisfaction and motivation have an effect on to teacher performance

scholarly journals Statistical Methods in the Usage of Correlation and Regression of the Machine Learning Models

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2489-2491
Keyword(s):  
Machine Learning ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Statistical Methods ◽  
Predictive Analytics ◽  
Current Work ◽  
P Value ◽  
Start Up ◽  
Significance Levels ◽  
The Impact

The predictive analytics is the most commonly used methodology in the usage of Machine Learning class of algorithms. Based on the values generated at the time of running the algorithm the significance of the model can be estimated. The current work gives a complete focus on P value and the significance levels of the P value in the correlation analysis of the algorithms. Based on the P value the impact of the model can be notified and the interpretation of the results can be done in the efficient way. The other dimension of the work is the usage of statistical functionalities in the regression analysis, most of the researchers are focusing on the shallow usage of regression analysis in the classification of the tasks. The current work explains the complete internals of the regression models available and the usage of the statistical functionalities utilized in the implementation of the corresponding variants of the algorithms. We believe that the current work exclusively helps the upcoming researcher in the areas of regression in the context of the statistical functionalities which are vital in the implementation of the tasks. The outcome of the work is to exploit the correlation analysis with various significance levels and the issues in the processing of the analysis. The another point here is the regression internals with the focus of statistical methods available in the processing of regression variants. The regression analysis involves various types like linear regression, multiple regressions and logistic regression. The current work gives an overview of all these three types of regressions and also the significance of P value in the prediction of outcome. In the examples such as house rate prediction based on the given area, salary of an employee based on the experience level, profit of the start-up companies based on the spending on research, admin marketing and state of the country are best suitable in the explanation of regression.

scholarly journals INFLUENCE OF INFORMATION TECHNOLOGY ON INTERNAL CONTROL SYSTEMS IN TERTIARY INSTITUTIONS IN OSUN STATE, NIGERIA

2021 ◽  
Vol 3 (7) ◽  
pp. 92-103
Author(s):  
Aderemi Olalere Adebayo ◽  
Samuel Oladele Obisesan ◽  
Amos Olusola Akinola
Keyword(s):  
Information Technology ◽  
Regression Analysis ◽  
Control Systems ◽  
Internal Control ◽  
Internal Audit ◽  
Sampling Technique ◽  
Major Influence ◽  
P Value ◽  
Tertiary Institutions ◽  
Descriptive Research

This study examined the influence of information technology on internal control systems in tertiary institutions in Osun State with the aim of determining whether or not information technology has a major influence on tertiary institutions' internal control systems. A descriptive research design was adopted while the population of the study consists of tertiary institutions in Osun State, Obafemi Awolowo University was chosen using judgmental sampling technique because of her accessibility and convenience. One hundred and twenty (120) copies of the questionnaire were distributed while hundred (100) copies were returned and analyzed using regression analysis. Findings from the study revealed that information technology significantly influences internal control systems and significantly influences internal audit processes in tertiary institutions in Osun State with t-value and p-value of 20.029 and 0.000, 19.049, and 0.000 respectively. It was concluded that information technology enhances and strengthens internal control systems and internal audit processes in tertiary institutions. The study, therefore, recommended that tertiary institutions should embrace information technology so as to strengthen the internal control systems of their institutions, internal control systems should be jealously guided to prevent fraudulent activities, duties must be properly segregated technologically so as to determine who to be held responsible when there are infractions and finally, both on-the-job and off-the-job training in information technology should be embraced by management of tertiary institutions so as to update the required skills and knowledge of their staff in information technology

scholarly journals Pengaruh I-Branding pada Website Binus University terhadap Loyalitas Pelanggan

2013 ◽  
Vol 4 (2) ◽  
pp. 1320
Author(s):  
Meyliana Meyliana ◽  
Henry Antonius E.W. ◽  
Stephen W. Santoso
Keyword(s):  
Information Technology ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Free Market ◽  
Educational Institution ◽  
Point Of View ◽  
Marketing Communication ◽  
Customer Perception ◽  
A Company ◽  
Students As Customers

Implementing an appropriate branding strategy supports a company in putting its product or service to be customers’ top of mind. Aligned with the development of information technology, especially the Internet, merging branding with internet (i-branding) creates a unique characteristic for a company. It is very helpful for a company in competing in the free market. Therefore, it is important for a company to know information about customer perception in assessing i-branding that has been applied to its website. As an educational institution which is a pioneer in the use of information technology, Binus University concerns much about its branding on the official website (www.binus.ac.id). This study is conducted to assess the i-branding of Binus University on the point of view of its students as customers. This study uses Four Pillars of i-branding consisting the following variables: customer understanding, marketing communication, interactivity, content, and customer loyalty consisting of trust and satisfaction. The hypothesis is tested by correlation analysis and regression analysis. Based on correlation analysis, all hypotheses of H1 (no relation) is received and based on regression analysis,all hypotheses of H1 (bring effects) is received.

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Research Hospital ◽  
Training And Research

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.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

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.

Attitudes of the academics in sports sciences towards distance education

2020 ◽  
Vol 8 (4) ◽  
pp. 799-805
Author(s):  
Şükrü Bingöl ◽  
Keyword(s):  
Transformational Leadership ◽  
Regression Analysis ◽  
Organizational Justice ◽  
School Administrators ◽  
Relevant Literature ◽  
Interactional Justice ◽  
Teachers Perceptions ◽  
Idealized Influence ◽  
Research Findings ◽  
Sports Sciences

The aim of this study is to determine the relationship between school administrators’ transformational leadership behaviours and teachers’ perceptions of organizational justice. The sample of the study consists of 170 teachers working in high schools in Elazığ city center. In the study, the Transformational Leadership Scale was used to determine whether school administrators exhibit transformational leadership behaviours, and the Organizational Justice Scale was used to determine teachers' perceptions of organizational justice. Pearson moment two-correlation analysis and multiple regression analysis techniques were used in the analysis of the data. According to the research findings, it was observed that school administrators frequently exhibited transformational leadership behaviours and teachers' perceptions of organizational justice were at the level of “I agree”. In general, moderate, positive and significant relationships were found between transformational leadership and organizational justice. According to the results of the regression analysis, it was determined that the idealized influence dimension of transformational leadership positively and significantly predicted the formal procedures dimension of the organizational justice scale, and also idealized influence and individualized consideration dimensions of transformational leadership positively and significantly predicted the interactional justice dimension of the organizational justice scale. The research results were discussed in the relevant literature and recommendations were made.

Analysis of variations in and correlations between selected physical parameters of common beech (Fagus silvatica L.) nuts

2017 ◽  
Vol 1 (21) ◽  
pp. 49-63
Author(s):  
Zdzisław Kaliniewicz ◽  
Piotr Markowski ◽  
Andrzej Anders ◽  
Paweł Tylek ◽  
Zbigniew Krzysiak ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Cross Sections ◽  
Linear Regression Analysis ◽  
Physical Parameters ◽  
Common Beech ◽  
Mesh Screen ◽  
Before And After ◽  
Fagus Silvatica ◽  
Highly Correlated

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.

e-Learning: Practices Among Undergraduates of a Medical College of Khyber Pakhtunkhwa

2020 ◽  
Keyword(s):  
Information Technology ◽  
Medical Students ◽  
Background Information ◽  
P Value ◽  
Undergraduate Medical Students ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Medical College ◽  
Learning Practices ◽  
E Learning

Background: Information technology (IT) is a new way of teaching and learning. One of the promising media of information technology is e-Learning, which is used to enhance knowledge and skills among users. A student gains better and deep knowledge through a useful tool. This survey aimed to determine practices among medical students for e-Learning. Methods: This cross-sectional survey was conducted on 184 students amongst the 500 students currently enrolled in medical college. Data was collected using questionnaires and were analyzed through SPSS version 22. Chi-square was used for qualitative values. Results: Majority 90.80% (n=167) students were aware of e-Learning and were statistically high in first year students (p-value: 0.018). The student did not show statistically significant results for content learned through e-Learning with a p-value of 0.063. Different resources were used for e-Learning in which videos had the highest percentage (87.60%) and audios were used as the least resource for e-Learning (29.20%). Daily, 56% of the students use e-Learning for 1 hour or less and only 3% of the students used it for more than 4 hours. Conclusion: Majority of undergraduate medical students were aware of the use of e-Learning and most of them preferred e-Learning for their course work and studies showing a significant increase in understanding and use, compared to studies conducted earlier. Participants found e-Learning useful and effective tool in increasing knowledge and understanding of their subject. Keywords: e-Learning; Practices; Students.

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