Volume IV

LIQUDITY MEASURES OF INDIAN CORPORATE BOND MARKET

The aim of the paper is to examine the liquidity of corporate debt market in India through the trade based liquidity measures covering a period of five years viz. 2009-10 to 2013-14. Trade size, Trade volume, Rupee volume and Trading frequency are used as the liquidity measures. The study concludes that the performance of all the variables of trade-based liquidity measures is good. Trading volume, rupee volume and trading frequency have performed well. These all have an increasing trend during the mentioned period while trade size has shown a decreasing trend. The increasing trend of all the three variables depict that the liquidity of the Indian corporate debt market is increasing year by year. The result of correlation analysis showed that Trade size has negative correlation with all the variables but also have significant correlation with trading frequency and trade volume. While trading frequency, trade volume and rupee volume has positive and significant correlation with each other which indicates that these variables are the good proxy variables under the trade based liquidity measures.

APPLICATIONS OF DATA MINING TECHNIQUES: EMPOWERING QUALITY HEALTHCARE SERVICES

Healthcare is an information-intensive sector. The need to develop and organize new ways of providing healthcare information, data and knowledge has been attended by major advances in information and communication technologies. These new technologies are speeding an exchange and use of data, information and knowledge and are eliminating geographical and time barriers. These processes highly accelerated medical informatics development. Nowadays medical informatics shows its significance as a multidisciplinary science developed on the basis of interaction of information sciences with medicine and health care in accordance with the attained level of information technology [1]. Today�s healthcare environments use electronic health records that are shared between computer systems and which may be distributed over many locations and between organizations, in order to provide information to internal users, to payers and to respond to external requests. With increasing mobility of population, patient data is accumulating in different places, but it needs to be accessible in an organized manner on a national and even global scale. This paper presents a systematic approach of data mining techniques in healthcare industry and a survey of current techniques of knowledge discovery in databases using data mining techniques that are in use today in medical research and healthcare sectors. This paper also focuses on some critical issues and challenges associated with the application of data mining in the profession of healthcare practices.

CONSUMERS’ APPROACH TOWARDS HIGH INVOLVEMENT PRODUCTS AND LOW INVOLVEMENT PRODUCTS: A STUDY OF BUYING BEHAVIOUR IN VADODARA, INDIA (Waims/5507/Ay4LT)
Abstract: A research was conducted in Vadodara, Gujarat, India to study the psychology of people while purchasing cheap products as compared to costly products. As a result, two representative products were selected and buying behavior of respondents was studied towards these two products. It was found that the mental process for both the products is quite different.
Affiliation: Dr. Ashutosh A Sandhe1,Dr. Anupam Mitra 2
Keyword: high involvement, low involvement, payment mode, shopping mode, affective link, search & information processing, social interaction, social relevance, purchase purpose.
LIQUDITY MEASURES OF INDIAN CORPORATE BOND MARKET  ( Waims/8697/ak9cW)
Abstract: The aim of the paper is to examine the liquidity of corporate debt market in India through the trade based liquidity measures covering a period of five years viz. 2009-10 to 2013-14. Trade size, Trade volume, Rupee volume and Trading frequency are used as the liquidity measures. The study concludes that the performance of all the variables of trade-based liquidity measures is good. Trading volume, rupee volume and trading frequency have performed well. These all have an increasing trend during the mentioned period while trade size has shown a decreasing trend. The increasing trend of all the three variables depict that the liquidity of the Indian corporate debt market is increasing year by year. The result of correlation analysis showed that Trade size has negative correlation with all the variables but also have significant correlation with trading frequency and trade volume. While trading frequency, trade volume and rupee volume has positive and significant correlation with each other which indicates that these variables are the good proxy variables under the trade based liquidity measures.
Affiliation: Ajeet Kumar Maurya, Prof. Raj Kumar
Keyword: Liquidity, Trade size, Trade volume, Rupee volume and Trading frequency
APPLICATIONS OF DATA MINING TECHNIQUES: EMPOWERING QUALITY HEALTHCARE SERVICES (Waims/5690/yBV2n)
Abstract: Healthcare is an information-intensive sector. The need to develop and organize new ways of providing healthcare information, data and knowledge has been attended by major advances in information and communication technologies. These new technologies are speeding an exchange and use of data, information and knowledge and are eliminating geographical and time barriers. These processes highly accelerated medical informatics development. Nowadays medical informatics shows its significance as a multidisciplinary science developed on the basis of interaction of information sciences with medicine and health care in accordance with the attained level of information technology [1]. Today’s healthcare environments use electronic health records that are shared between computer systems and which may be distributed over many locations and between organizations, in order to provide information to internal users, to payers and to respond to external requests. With increasing mobility of population, patient data is accumulating in different places, but it needs to be accessible in an organized manner on a national and even global scale. This paper presents a systematic approach of data mining techniques in healthcare industry and a survey of current techniques of knowledge discovery in databases using data mining techniques that are in use today in medical research and healthcare sectors. This paper also focuses on some critical issues and challenges associated with the application of data mining in the profession of healthcare practices.
Affiliation: Priyanka Dadhich
Keyword: Healthcare
Innovation of smart products and services    ( Waims/0715/2M7A1)
Abstract: any Smart product or service will be a combination of innovation and value. Any organization, pursuing to provide a smart product or service needs to ensure that it is unique, and can create a positive impact to the business and stake holders. Such a smart product or service is the result of some innovation done by the development teams inside or outside the company. To be more predictable in such a product or service development, some emphasis on key parameters of innovation is needed. This paper discussed the 3 dimensions along which an innovative smart product or service can be developed. This can also help focused innovation based on the capabilities of the organization and predictable results can be achieved.
Affiliation: K S Sudeendra Thirtha Koushik
Keyword: Innovation; Smart Product; Smart Service; Parameters; model; Design Dimensions; impact; Development; Design
IMPACT OF MICROCREDIT ON ECONOMIC CONDITION OF MEMBERS OF WSHGS; A STUDY IN JAGATSINGHPUR DISTRICT
(Waims/4091/u0X6v)
Abstract: Odisha is a mineral reach state in India but the economy of the state mainly dependents on agricultural. The western part of the state is reach with industrialization whereas the eastern part of the state is reached with highly futile lands. In eastern part, one of the costal district is Jagatsinghpur. In this district, majority of the population belongs to rural areas; therefore rural sector is the main source of economic development. Development of rural areas is essential for the enhancement of overall economy and for the betterment of rural communities. Another interesting fact about rural Odisha is the economic activity of a family is concentrate at the male members. The women are play the role of housewife to a great extends. The aim of the present study was to find the impact of microcredit on economic status of the WSHG members in rural areas of district Jagatsinghpur. The universe for the present study was all WSHG of the said district. The Sample of 442 respondents was selected from the targeted population using random sampling technique. A survey was conducted with the help of a close ended structured questionnaire. Both descriptive and inferential statistics were used to draw the results from the study. Through descriptive analysis, the study clearly demonstrated that microcredit has played a positive role in improving the economic status of members of WSHGs. In this regard the study observed that microcredit played the positive role in changing and improving the economic status of rural women.
Affiliation: Sudhir Chandra Bhuyan,Lectrur Mangala Mahavidyalaya Kakatapur, Puri
Keyword: Microcredit, Economic Condition, Loan Size, Asset Position and Employment
Improved and Feasible Access to Health Care Services through Integration of Mobile Technology and Big Data (Indian Context
(Waims/8623/PEgk9)
Abstract: Big Data is already changing the way business decisions are made, however, it is still early in the game. Big data has the potential to increase the capacity and capabilities of conventional storage, reporting and analytics system. With the convergence of powerful computing, advanced database technologies, wireless data, mobility, and social networking, it is now possible to bring together and process big data in many ways which are good for society. In the area of health services, all health-care constituents members, payers, providers, groups, researchers, governments, etc. will be impacted by big data, which can predict how these players are likely to behave, encourage desirable behavior and minimize less desirable behavior. These applications of big data can be tested, refined and optimized quickly and inexpensively and will radically change health-care delivery and research. Leveraging big data will certainly be part of the solution to controlling spiraling health-care costs in a developing country like India
Affiliation: Ajit yadav, Sunil Kumar Chowdhary, Abhishek Srivastava
Keyword: Bigdata, E-health, Health-care
Volume 4, – Issue 6
 
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