Employee engagement can be regarded as the emotional connection an employee feels toward his or her employment organization, which tends to influence his or her behaviors and level of effort in work related activities. The objective of the study is to determine the work antecedents of employee engagement. The work antecedents considered in the study are perceived role benefits, job autonomy and strategic attention. Sample comprises of 129 employees of it industry. Simple linear regression was used to analyze the data. The results prove that all the three work antecedents were proved to positively predict employee engagement. Perceived role benefit and job autonomy are the major predictors of employee engagement. Hence the organization needs to emphasis on providing a growth focused work environment for the employees to become more engaged.
The volatility of stock market data have contributed an essential section in risk study and it is very serious problem especially in emerging markets. Previously it is measured by standard deviation of the return. Therefore, in this article the volatility data will be predicted based on Autoregressive Integrated Moving Average model (ARIMA) using insurance stock market data from Amman Stock Exchange (ASE) from January 2019 to December 2019. As a result this article shows that the ARIMA model has significant results for short-term prediction. Therefore, These results will be helpful for the investments.
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