Student engagement has become a dynamically engaging subject within the educational field. Higher student engagement has been a driving force behind extending student accomplishments in academics. This study focuses on student engagement in state (ABC) and non-state (XYZ) universities in Sri Lanka. The purpose of conducting this study is to identify whether a relationship exists between student engagement and academic achievement. The findings of the study will be of significance to the universities as well as the current undergraduates, since it provides an understanding on which measurements of student engagement is to be focused on, in order to achieve superior academic accomplishments. Additionally, the study will be of importance to Sri Lanka as a whole, for despite this subject being investigated in numerous other nations, it was identified that significant consideration was not given to the Sri Lankan context, when investigating the relationship between students’ engagement and their scholarly accomplishments. However, there can be unpublished researches in existence. The research was conducted using numerous scientific research tools. A deductive research approach was utilized in the current study. Data collection was based on primary data and a mixed strategy was utilized, as both quantitative and qualitative approaches were taken in collecting data. As per the findings of the study, it was identified that there is a positive relationship between student engagement and their academic achievements.
This study looks into a predictive model to ascertain the turnover of Generation ‘X’ and ‘Y’ employees. Based on Erving Goffman’s frame analysis theory, three key factors such as the nature of working styles, social values and the personal values have been identified as influencing factors. The impact of these factors on workplace behavior in terms of intention to leave or remain with the organization has been tested using responses of 297 employees. The data were collected using a survey questionnaire. Data were analyzed using the Binary Logistic Regression and the Neural Network Analysis to ensure the level of accuracy in Predictive Analysis of Generation X and Y. It was found that differences in characteristics and behavior between the two Generations lead to a higher turnover rate in Generation ‘Y’ than in Generation ‘X’. Moreover, the researchers predicted data related to retention and intention to leave of the two Generations based on the sample.
Over the decades, technology has become an essential indicator to actively participate in the economic growth of nations. The usage of technology and e-commerce had created a new pathway to improve trade in Asian countries. This study seeks to verify the linkage between e-commerce and international trade. The annual data for panel data regression analysis were collected from the World Bank covering 38 Asian countries for 11 years, from 2010 to 2020. This study applied a set of estimation procedures such as descriptive statistic, correlation matrix, stationary test (Levin–Lin–Chu test, Breitung test, Augmented Dickey Fuller test, Harris–Tzavalis and Im–Pesaran–Shin test), Kao cointegration test, autocorrelation test and heteroskedasticity test. The two-step system Generalized Method of Moments (GMM) estimator was employed for dynamic panel data analysis. Empirical findings show that e-commerce significantly impacts the international trade of Asian countries. Governments of Asian countries should employ policies related to telecommunication technologies for e-commerce improvement and realize/ reap potential benefits from international trade.
The aim of this study is to investigate the impact of ‘Job Satisfaction’ on ‘Employee Performance’. The preliminary investigations revealed a researchable area where most of the employees are dissatisfied affecting their job performances. In this study deductive approach has been used to test the existing theories and thus this study involves quantitative analysis. The determinants of independent variable of ‘Job Satisfaction’ included Pay & Benefits, Trainings, Work Condition and Nature of the Job. The dependent variable for the study is ‘Employee Performance’. The sample consists of 66 employees based on simple random sampling technique. Moreover, a structured questionnaire was administered to collect the primary data. The hypotheses were tested using the correlation and regression analysis. The correlation analysis denoted that there is a positive relationship between job satisfaction and employee performance and the regression analysis depicted that the job satisfaction has a statistically significant impact on employee performance at 0.05. This study suggests the organization to maintain salary equality and supervisor relationships to increase the employee performance. Furthermore, it is recommended to recognize the training needs of the employees to boost the performance of the employees. Moreover, based on the findings of this study, the scholars could further investigate the how other factors such as top management support and organization culture impacting on employee performance.
This research paper basically discussed about the empirical gaps when identifying the relationship between student engagement and their academic achievement, which would be useful for the future researches on the topic. Secondary data collection was used. A critical Literature Review was conducted using a sample size of 22 articles. The first gap is about the sample size, where the sample is being limited to just one university/school/institute. The second gap is about the way the researchers have measured the academic achievement, where most have done using a single subject result, which would be impractical. Thirdly, lack of qualitative approaches to measure the relationship between student engagement and academic achievement is identifies as a gap. As the fourth gap, students from all the years and variety of faculties should be taken, as student engagement might vary with them. As the fifth gap, many researchers have identified that most researches have been carried out targeting one country, which might be failed to give an overall result on the relationship. The sixth gap identified was that many of the researchers have paid to the respondents in filling the survey and therefore the researchers have faced restrictions due to unavailability of sufficient financial resources. The last gap which was identified throughout the literature was that information technology nowadays has an influence on student engagement and the fact was not taken into account by most of the researches. At the latter part of the research, the recommendations to the future researchers were given.
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