Organizational support is a vital component providing help to employees to perform, however, the support meant to be meaningful and make individual satisfied with the job. It becomes more specific in the hospitality sector, especially hotel industry being a service sector, in which the performance of the employees is directly linked to the customers satisfaction. Subsequently for business performance and sustainability. In this view, this study aims to examining the interlinkage of perceived organizational support, perceived job satisfaction and perceived job performance. In addition, it investigated the mediating effect of perceived job satisfaction to relationship of perceived organizational support and perceived job performance. This study adopts a quantitative approach and a sample of 200 hotel employees were approached, out of which 158 employees responded. Results indicates that perceived organizational support is correlated with perceived job satisfaction and perceived job performance. It suggests job satisfaction mediated the effect of perceived organizational support on perceived job performance. The study findings presented concrete evidence that perceived organizational support and perceived job performance can be strengthen when employee perceived a satisfaction with their job. Thus, perceived organizational support can strongly relate with achieving higher level of perceived job performance in hotel industry with mediations of perceived job satisfaction. The finding of current study can help administrators, particularly in hotel industry to find ways to use organizational support to increase job performance.
The paper conducted a qualitative analysis among the Nepalese econophysicist-cum-investors regarding the opinions on the investment environment of the Nepalese stock market (NEPSE) and the challenges they have been facing while going for an investment decision. The paper has also gotten opinions on the screening process from the NEPSE from the interviewees and their opinion on the distribution nature of the return from the market. The paper followed the grounded theory to come with certain theories from the opinions. The paper found that the strong fundamentals of the listed companies were a concern for the interviewees. Similarly, wrong information and trading procedures were seen as concerns among interviewees. The paper found from interviews that the published financial reports of the listed companies helped in screening the shares to make a better portfolio among the Nepalese econophysicist-cum-investors. Finally, in the context of the distribution nature of NEPSE return, most interviewees viewed that the return follows the normal distribution. The interviewees viewed that the market return follows the power-law when the bull-run continues, backed by the extreme magnitude of trade volume as well as the perfect political and economic condition of the nation. They also linked the nature of return distribution with the behavioral factors of the investment decision process.
Researchers and investors are interested in the normality of the return from the stock market and the establishment of the Efficient Market Hypothesis (EMH). Nevertheless, a statistical distribution of the normality of the return helps investors predict the stock market return with the help of the basic mean and standard deviation values of the return. Hence, the paper tested the normality of the daily returns from the Nepalese stock market, Nepal Stock Exchange Limited (NEPSE). The paper followed the statistical results and data visualization to determine the normality of the stock market return. The data visualization and statistical results have shown that the daily return from the NEPSE follows a normal distribution. The test statistics for the normality of the data also show a normal distribution for the NEPSE daily return. Similarly, the parameters for the fitted distribution also reflect normality. The daily transaction volume at the stock market normally leads the daily stock market return in normality as well. The fitting of a normal distribution for the daily returns reflects that the Nepalese investors could predict market risk and return using two statistical parameters, i.e., standard deviation and mean, respectively.
The returns’ distribution nature from the stock market is a concern for investors to determine the future trend of the market. An assumption of normality for the stock market returns concerned the academician and investors. Nevertheless, the random walk theory assumes randomness in the market return. In this context, the paper studied the distribution nature of the month-wise returns from the Nepalese Stock Market (NEPSE). The paper revealed month-wise returns far away from normality. Similarly, going through each month-wise return, an extreme value theory (EVT) based distribution better fitted for most of the month-wise returns from NEPSE. Nevertheless, the return distribution for the month of mid-December, mid-July, and mid-November was predictable in nature.
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