The aim of this study is to investigate the effect of educational technologies on the Corporate Social Responsibility (CSR) perception of tourism students and their intention to work in the tourism business industry. By improving education programs with an investment in educational technologies, both universities and firms are believed to benefit from growing CSR initiatives, as well as potential young talents for their future business activities. Four-dimensional (economic, legal, ethical and philanthropic dimensions) model of CSR perception is followed. M-learning and E-learning platforms are compared as moderators to ensure the most effective platform for CSR education among the students. The study is conducted with data which is gathered from a total of 397 students who continue their bachelor and associate degrees in different universities in the Gulf nations. It is found that there is a positive relationship between students’ intention to work in the industry and the sub-dimensions of CSR, namely ethical responsibilities, legal responsibilities, and economical responsibilities. Conversely, philanthropic responsibilities had no effect on working intention. In addition, gender difference had no significant impact on working intention of the students in tourism industry. Moreover, it is revealed that e-learning tools are more effective in CSR education.
Product performance satisfaction level can be referred to as the satisfaction level of mutual fund investors in terms of return, transparency, safety, liquidity, service quality, fund management and the overall performance of the mutual fund products. Here, the researcher attempted to analyze the satisfaction level of mutual fund investors concerning different funds/schemes opted by the investors. Based on these objectives seven parameters of satisfaction of mutual fund investors including the overall performance of the fund has been taken into consideration. The findings of the standardized regression weight of product performance satisfaction level and the Chi-square test reveals that there is a significant difference in the product performance satisfaction level of mutual fund investors about the funds opted by them (except in case of balanced-fund).
Tumor segmentation is the primary and tedious task for the clinical experts. Computer Aided Design is the only solution which identifies the tumor very accurately with less time. Deep learning models such as the convolutionary neural network have been widely used in 3D biomedical segmentation and have achieved state-of-the-art performance.In this research, saliency based deep features are extracted from MRI. Then Support Vector Machine is used for classifying deep features. The proposed method is tested on BRATS 2015 dataset and it is compared with state-of-methods and recent methods. The proposed method achieves 0.94, 0.93 and 0.9 as dice score, precision and sensitivity respectively which is greater than other methods.
The investment objective of Mutual fund investors is the first and foremost aspect for a mutual fund investor when investment decisions are made. Investment objective is referred to as a collective sum of all the factors considered by an investor while investing in to a particular avenue where he needs to capitalize reaping desired returns in future. Through this paper the author analyses the objectives of mutual fund investors by considering various factors such as time horizon and demographic profile to evaluate their financial behaviour. For this a sample of 400 individual investors has been selected to analyse the objectives of mutual fund investors, weighted score ranking of objectives and its association with time horizon and demographic profile of investors. The current research revealed that the investment objectives of mutual fund investors vary with their time horizon of investment where as it doesn't vary with demographic features.
Human resource is one of the major resources that enables an organization to sustain and grow in the present business era, which is characterized by high degree of competition and internal rivalry among the organizations. One of the major elements that has an influence and impact on the overall levels of employee performance is that of occupational stress. High levels of occupational stress has always a negative impact on the performance of employees. This research aims at making an assessment of the impact of occupational stress on employee performance in organizations in the Middle East. It also aimed to assess the overall levels of occupational stress within the factors that caused occupational stress, and the manner in which occupational stress influences employee performance. The study is also intended to put forward recommendations in order to have effective management of occupational stress. In order to address all these aims, a mixed methodology was deployed. The overall findings of the research indicated that occupational stress had a negative impact on the overall performance of the employee, where occupational stress is majorly defined by the presence of role conflict and role ambiguity as well as the lack of career development within the organization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.