Rinku Jain

Study of Bergman’s minimal blood glucose-insulin model by adomian decomposition method

Abstract In this paper, we discuss the solution of Bergman’s minimal model of fractional order, used to describe blood glucose and insulin metabolism by Adomian decomposition method (ADM). Numerical simulations show that the approximate solutions are indeed continuous functions of fractional derivatives. In addition, the calculations involved in ADM are very simple and straightforward.

Relationship between individual and structural determinants on job satisfaction–analysis of employee turnover in the Indian context

The impact of Individual and structural determinants on job satisfaction are worth exploring in the context of employee turnover the variation in requirement and expectation of individual varies from person to person has a huge Impact on employee turnover. Individual determinants are of significant importance as it’s very specific to the person associated with the problem. Researchers are yet to find out a solution to address problem associated with Individual determinants. On the other hand structural determinants are more to do with the work setting and the place of the work. Organizations can clearly identify these issues and chalk out plans to address these issues. Most important aspect of turnover research is to find out how individual and structural determinants impact job satisfaction, as job satisfaction is one of the important determinants for understanding the employee turnover. The author would like to dissect Kim, Price Mueller & Watson(1996) Price and Mueller’s Model and study correlates , Individual & environmental determinants. Data were collected from a sample of 386 employees from binary solution. Binary solutions are the biggest distribution of Dell, HP and Lenovo in India. Also they have a back office for client’s servicing. Confirmatory factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique using AMOS software is used to test the model. Finding revealed that the individual determinants i.e. job motivation and met expectation had positive relationship with process determinants i.e. job satisfaction. Few structural determinants i.e. autonomy, distributive justice, promo9tional chances and social support are also having the positive relationship with process determinants i.e. job satisfaction. But the two variables of structural determinants i.e. job stress and routinization is having the negative effect on process variable’s job satisfaction.

Bayesian Estimation of Irregular Stochastic Volatility Model for Developed and Emerging Stock Market

This research is to study the irregular stochastic volatility (ASV) for developed and emerging stock markets that are predictable with Markov Chain Monte Carlo (MCMC) model. Data cover daily closing prices for five years from 2010 to 2016. The study is done on secondary data. We considered six developed countries stock returns and six emerging countries stock returns. The arrangement of developed and emerging markets is created on the economic status such as GDP, GNP and per capita income. We used the reference of Human Development Index (HDI) statistics to identify the developed and emerging markets for the study where they rank the countries on the basis of their development. In this article, the developed and emerging countries considered for the study show the mature markets as compared to the countries which we excluded from the study. The data considered were taken from the value-weighted equity market indices of three developed and six emerging countries. According to the MSCI reference, there are six indices, i.e. India (S&P CNX NIFTY and BSE SENSEX), USA (DOWJONES, NASDAQ-100 and S&P-500) and UK(FTSE-100) which are classified as developed markets and six emerging countries stock returns, i.e. France(CAC-40), Spain (IBEX 35), Malaysia (KLSE), Japan (NIKKI-225), Singapore (STRAIT TIMES) and Taiwan (TAIWAN WEIGHTED) which are classified as emerging countries. The findings provided that in the developed stock markets, high volatility persistence was present in USA NASDAQ-100 and India BSE SENSEX and in the emerging stock markets high volatility was present in Malaysia and Singapore. The strong and significant leverage effect present in India S&P CNX NIFTY, USA DOWJONES, USA S&P-500 and UK FTSE-100 from the developed countries stock markets and the leverage effect present in France (CAC-40), Spain (IBEX 35) and Japan (NIKKE-225) from the emerging countries stock markets.

The impact of effectiveness of the simulator training program on different factors of needs and interest of the training

This research is an attempt to identify the impact of effectiveness of the maritime simulator training program on different factors of needs and interest of the program. Model is developed to understand the impact. Data was collected from the course participants attending various simulator based training programmes from three training centers. Confirmatory factor analysis was employed to examine the reliability and validity of the measurement models. Path analysis is also carried out to understand the impact of effectiveness of the simulator training program on different factors of needs and interest of the program. The structural equation modeling technique using AMOS software was used to test the model.