Export, Import and Inter—State Sales - A Study in Tax Law

This thesis is a study in sales tax law, a study on the triple concept of export, import and inters—State sales. It is in seventeen chapters spread in five parts. The introductory is an overview. It presents the thematic thrust of what follows. Part two deals with incidence of sales tax on export and import and the scope of exemption. Part three focuses attention on the various dimensions of the problem of inter—State sale. Part four is an inquiry into parliamentary control on taxes over sales and purchases and highlights inter—State and intra-State implications of discriminatory tax. Part five contains the results of empirical study and the general conclusions of the thesis. In the past no attempt has been made to analyse on identical lines the problems dealt with in this thesis

Modelling and Analysis of Some Time Series

The thesis deals with some of the non-linear Gaussian and non-Gaussian time models and mainly concentrated in studying the properties and application of a first order autoregressive process with Cauchy marginal distribution. In this thesis some of the non-linear Gaussian and non-Gaussian time series models and mainly concentrated in studying the properties and application of a order autoregressive process with Cauchy marginal distribution. Time series relating to prices, consumptions, money in circulation, bank deposits and bank clearing, sales and profit in a departmental store, national income and foreign exchange reserves, prices and dividend of shares in a stock exchange etc. are examples of economic and business time series. The thesis discuses the application of a threshold autoregressive(TAR) model, try to fit this model to a time series data. Another important non-linear model is the ARCH model, and the third model is the TARCH model. The main objective here is to identify an appropriate model to a given set of data. The data considered are the daily coconut oil prices for a period of three years. Since it is a price data the consecutive prices may not be independent and hence a time series based model is more appropriate. In this study the properties like ergodicity, mixing property and time reversibility and also various estimation procedures used to estimate the unknown parameters of the process.

Intelligent Use of Emotions in Personal Selling: A Study into the Effect of Emotional Intelligence on the Performance of Sales Executives

School of Management Studies, Cochin University of Science and Technology

The Effect of Sales Promotion on Consumer Based Brand Equity

The study was an attempt to find out the effect of Sales Promotion,Price and Premium Promotion,on Consumer Based Brand Equity.The dimensions of consumer Based Brand Equity under study were Brand Awareness and Associations,Perceived Quality and Brand Loyalty.The Product categories under study were Convenience Products,shopping Products and Specialty Products and the product classes taken were Toothpastes,Colour Television and Athletic Shoes.The brands under study were Convenience Products-Anchor,Closeup,Colgate and Dabur:Shopping products-LG,Onida,Samsung and Sony and Specialty Products-Action,Adidas,Nike and Reebok.The primary objective of the study was to examine the effect of Sales Promotion,Price and Premium Promotion,on Consumer Based Brand Equity(CBBE)

Entrepreneurship and Motivation in Small Business Sector of Kerala

This thesis Entitled entrepreneurship and motivation in small business sector of kerala -A study of rubber products manufacturing industry.Rubber-based industry in Kerala was established only in the first half of the 20th century.the number of licensed manufacturers in the State has increased substantially over the years, particularly in the post- independence period. 54 rubber manufacturing units in 1965-66, the number of licensed rubber-based industrial units has increased to 1300 units in 2001-02. In 2001-02 Kerala occupied the primary position in the number of rubber goods manufacturers in the country.As per the latest report of the Third All India Census of Small Scale Industries 2001-02, Kerala has the third largest number of registered small scale units in the country next after Tamil Nadu and Utter Pradesh.This study of entrepreneurship in the small-scale rubber goods manufacturing industry in Kerala compares a cross section of successful and unsuccessful entrepreneurs with respect to socio-economic characteristics and motivational dynamics. Based on a sample survey of 120 entrepreneurs of Kottayam and Ernakulam districts successful and unsuccessful entrepreneurs were selected using multiple criteria. The study provides guidelines for the development of entrepreneurship in Kerala.The results on the socio-economic survey support the hypothesis that the successful entrepreneurs will differ from unsuccessful entrepreneurs with respect to education, social contacts, initial investment, sales turnover, profits, capital employed, personal income, and number of employees.Successful entrepreneurs were found to be self~starters. Successful entrepreneurs adopted a lot more technological changes than unsuccessful entrepreneurs. Successful entrepreneurs were more innovative — the percent of successful entrepreneurs and unsuccessful entrepreneurs reporting innovations in business were 31.50 and 8.50 percent respectively.

Design and Development of data mining models for the predictions of manpower placement in the technical Domain

Data mining is one of the hottest research areas nowadays as it has got wide variety of applications in common man’s life to make the world a better place to live. It is all about finding interesting hidden patterns in a huge history data base. As an example, from a sales data base, one can find an interesting pattern like “people who buy magazines tend to buy news papers also” using data mining. Now in the sales point of view the advantage is that one can place these things together in the shop to increase sales. In this research work, data mining is effectively applied to a domain called placement chance prediction, since taking wise career decision is so crucial for anybody for sure. In India technical manpower analysis is carried out by an organization named National Technical Manpower Information System (NTMIS), established in 1983-84 by India's Ministry of Education & Culture. The NTMIS comprises of a lead centre in the IAMR, New Delhi, and 21 nodal centres located at different parts of the country. The Kerala State Nodal Centre is located at Cochin University of Science and Technology. In Nodal Centre, they collect placement information by sending postal questionnaire to passed out students on a regular basis. From this raw data available in the nodal centre, a history data base was prepared. Each record in this data base includes entrance rank ranges, reservation, Sector, Sex, and a particular engineering. From each such combination of attributes from the history data base of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These models can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. Also a detailed performance comparison of the various data mining models is done.This research work proposes to use a combination of data mining models namely a hybrid stacking ensemble for better predictions. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc are also proposed. Finally, this research work puts forward a new data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI data sets. It also proposes an optimization strategy called parameter tuning to improve the standard C 4.5 algorithm. As a summary this research work passes through all four dimensions for a typical data mining research work, namely application to a domain, development of classifier models, optimization and ensemble methods.

"A Study Of The Performance Of The "Jeevan Saathi" And "Jeevan Mitra” Policies Offered By The L.I.C."

The main benefit of Jeevan Saathi policy is that, it is a joint life policy which covers the life of both husband and wife under a single policy. And they also get double benefit if any one of them dies during the term of the policy. The Jeevan Mitra policy is a single life policy, the main advantage of which is that the dependents get double benefit in case of normal death and triple benefit in case of accidental death during the term of policy. so both the policies have their own attractions but when compared with the annual sales of other policies, the additional increase in the sales of these policies are decreasing. It is a fact finding study concerned with market performance of these two policies by conducting a survey among the Jeevan Saathi and Jeevan Mitra policy holders, and a thorough analysis of the various information or data collected from them. This study is an attempt to present an integrated picture of the main features of the policy holders who have bought these policies, the major factors responsible for making them purchase these policies, the various difficulties faced by them at present and further modification needed in the plans of these policies according to the opinion of policy holders. For increasing accuracy of the conclusions, information is also collected from Agents and Development Officers by using interview schedule. The main purpose of this study is to draw attention of LIC to introduce new plans of policies taking into consideration the drawbacks or defects of the existing policies and present needs of policy holders. It will also help to make new plans in order to suit the needs of more people who want to buy life insurance policies