Journal of Business & Financial Affairs

India characterized as one of the emerging super power, constitute about 17% of world population, accounting for about 35% of the poor and 40% of the illiterates. At the time of independence considerable differences in economic and social development of different regions of the country existed. One of the main objectives of the planning process initiated in the early 1950’s was to reduce these regional differences and to achieve regionally balanced development. There are more poor and illiterates today, and our IMR is about 60 per 1000 live births, which is one of the highest in the world. The current study tries to analyze interstate disparities in levels of income and features of HDI. An attempt was made to trace the causes of relatively low levels of income of some states. States with low values of indicators of human development were identified and on that basis backward regions were demarcated.

The purpose is to introduce the demand for statistical quality control practice in the supply chain environment. We show both the need and application of these measures, especially the need for multivariate quality concepts to reduce the costs of operating supply chains, to control the flow throughout the supply chain and in the dynamic behavior of supply chains to utilize concepts associated with multivariate methods and auto correlated variables. We note that the quality output is as important as the “bull whip” efficiency in the supply chain.

The importance of manpower employed in IT companies is discussed and this factor is compared with top five IT Companies of India. Data for five years (from 2009 to 2013) has been collected and an analysis between Profit after Tax (PAT), and number of employees has been done. Thereafter, Data Envelopment Analysis between manpower and Profits has been done. The ratios of profitability efficiency have been calculated these figures have been compared and it has been shown that the number of employees has a very significant effect on profitability in IT companies.
DEA models can generate new alternatives to improve performance compared to other techniques. Linear programming is the backbone of DEA methodology that is based on optimization platform. Hence, what differentiates the DEA from other methods is that it identifies the optimal ways of performance rather than the averages.

This study aims toidentify and analyse how customers are experiencing quality, loyalty and satisfaction in the Fast moving consumer goods (FMCG) retail market. The 5Qs model which includes economical and behavioural attributes is used. A research based on 200 respondents is used to identify differences between various 5Qs attributions. It shows that satisfaction does not automatically lead to loyalty. The price is a ruling attribute that makes the customer chase discounts, no matter who provides it. Results show that both psychological and economical attributions influence customers loyalty. The study reveals that organizations have the fantasy that their customers are totally loyal. This is a dichotomous thought because, the customers did not restrict their loyalty to a few organizations, but they are loyal to those organizations which provide them better offers. Independent variable satisfaction correlates substantially with dependent variable loyalty (.570). Holding a membership card which can indicate a commitment attitude was not significant to the loyalty or satisfaction. Thus, the organizations should understand that disloyalty within varying degrees is a reality and a necessary evil.