@Research Paper
<#LINE#>Relationship among Organizational Commitment, Trust and Job Satisfaction: An Empirical Study in Banking Industry<#LINE#>Mohamed@MSheik,MMohiadeenAbdul@Kader,Anisa@H.<#LINE#>1-7<#LINE#>1.ISCA-RJMgtS-2012-025.pdf<#LINE#>2 Jamal Institute of Management, Jamal Mohamed College, Tiruchirappalli, Tamil Nadu, INDIA Jamal Institute of Management, Tiruchirappalli, Tamil Nadu, INDIA <#LINE#>26/8/2012<#LINE#>27/8/2012<#LINE#>  The purpose of this paper is to examine the relationship between job satisfaction, organizational trust and organizational citizenship behavior. The data used for this research is from two private banking organizations in Tiruchirappalli District (Sample Size 101) and the method of analysis is correlation. The results have revealed the fact that job satisfaction is positively related to organizational trust, affective commitment, continuance commitment and normative commitment. The opportunity exists for further research among other banks toward developing a broader sense of how these particular variables are related and how the research results might be best applied toward the bank’s overall performance improvement and strategic planning efforts.  <#LINE#> @ @ Agho A., Mueller C. and Price J., Determinants of employee job satisfaction: An empirical test of a causal model, Human Relations, 46, 1007-1027 (1993) @No $ @ @ Cranny C., Smith P. and Stone E., Job satisfaction:How people feel about their jobs and how it affects their performance, New York: Lexington Books (1992) @No $ @ @ Chet R., Ryan A., Schmeider R., Parra L. and Smith P., The relation between job level and job satisfaction. 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<#LINE#>Development of Multi-Stage Supplier Performance Evaluation using DEA and Econometrics<#LINE#>K.M.@SharathKumar,H.K.@Narahari,Rowley@Jim<#LINE#>8-14<#LINE#>2.ISCA-RJMgtS-2012-012.pdf<#LINE#>Dept. of Management Studies, M.S. Ramaiah School of Adv. Studies, Bengaluru, Karnataka, INDIA 2 Dept. of Automotive and Aeronautical Engg, M.S. Ramaiah School of Adv. Studies, Bengaluru, Karnataka, INDIA Department of Engineering Management, Coventry University, Coventry, UNITED KINGDOM <#LINE#>2/8/2012<#LINE#>23/8/2012<#LINE#>  Many supply chain research schools believe “competition is no longer between companies; it is between supply chains”. In order to create agile supply chains, dynamic (time-dependent) performance evaluation system for assessing trading partners has become necessary. This has led to multi-stage development of mathematical models using inter-disciplinary approaches. In this study, Gear suppliers of a tiller and tractor manufacturing company have been considered. The proposed performance evaluation framework has been synthesized under five stages of model development using data envelopment analysis (DEA) and econometrics. Further, the multi-stage evaluation incorporates non-controllable and categorical formulation, which makes the model realistic from buyers’ perspective. Nonetheless, in the last stage of model development, an attempt to convert static to dynamic DEA model has been made considering inter-temporal effects between input-outputs. This effect has been captured as the lagged effect using Vector Auto Regression (VAR) model. Lastly, the proposed framework has been validated using system efficiency DEA model and Wilcoxon-Mann-Whitney rank sum test. Results have revealed that static evaluation overestimates dynamic evaluation by 4 to 5%. In addition, proposed dynamic evaluation system yielded better DEA results in terms of efficient Decision Making Units (DMUs) in numbers, average efficiency (~23%) and standard deviation (~38%). Therefore, multi-stage supplier performance evaluation methodology considering lagged effect has been considered as the original contribution in this study. In summary, combining DEA and econometric models, offer wide scope for the buyer to carry out performance evaluation under Multi Criteria Decision Making (MCDM) environment.<#LINE#> @ @ Amit Sachan and Subhash Datta, Review of Supply Chain Management and Logistics Research, International J. of Physical Distribution and Logistics Management, 35(9), 664-705 (2005) @No $ @ @ Nimawat Dheeraj and Namdev Vishal, An Overview of Green Supply Chain Management in India, Research J. of Recent Sci., 1(6), 77-82 (2012) @No $ @ @ Raorane A.A., Kulkarni R.V. and Jitkar B.D., Association Rule – Extracting Knowledge Using Market Basket Analysis, Research J. of Recent Sci., 1(2), 19-27 (2012) @No $ @ @ Charles A. 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Forker and David Mendez, An analytical Method for Benchmarking Best Peer Suppliers, International J. of Operations and Production Management, 21(1/2), 195-209 (2001) @No $ @ @John Seydel, Supporting the Paradigm Shift in Vendor Selection: Multicriteria Methods for Sole-Sourcing, Managerial Finance, 31(3), 49-66 (2005) @No $ @ @ Sharath Kumar K.M. and Narahari H.K., Estimating Net Dependence Risk from Suppliers’ Perspective using Supply Chain Analytics for DEA Evaluation, International Review of Applied Engineering and Research, 1(2), 155–174 (2011) @No $ @ @ Marcello Braglia and Alberto Petroni, A Quality Assurance-Oriented Methodology for Handling Trade-offs in Supplier Selection, International J. of Physical Distribution and Logistics Management, 30(2), 96-111 (2000) @No $ @ @ 0.Charles A. Weber, John Current and Anand Desai, An Optimization Approach to Determining the Number of Vendors to Employ, Supply Chain Management: An International J., 5(2), 90-98 (2000) @No $ @ @ Jongkyung Park, Kitae Shin, Tai-Woo Chang and Jinwoo Park, An Integrative Framework for Supplier Relationship Management, Industrial Management and Data Systems, 110(4), 495-515 (2010) @No $ @ @ 2.Reza Mohammady Garfamy, A Data Envelopment Analysis Approach Based on Total Cost of Ownership for Supplier Selection, J. of Enterprise Information Management, 19(6), 662-678 (2006) @No $ @ @ Ramakrishnan Ramanathan, Supplier Selection Problem: Integrating DEA with the Approaches of Total Cost of Ownership and AHP, Supply Chain Management: An International J., 12(4), 258–261 (2007) @No $ @ @ Pralay Pal and Bimal Kumar, 16T toward a Dynamic Vendor Evaluation Model in Integrated SCM Processes,  Supply Chain Management: An International J., 13(6), 391–397 (2008) @No $ @ @ Liang-Chuan Wu, Supplier Selection under Uncertainty: a Switching Options Perspective, Industrial Management and Data Systems, 109(2), 191-205 (2009) @No $ @ @ Chien-Ming Chen, Evaluation and Design of Supply Chain Operations using DEA, Ph.D. Thesis, Erasmus University Rotterdam (2009) @No $ @ @ Damodar N. 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<#LINE#>A New Generalisation of Sam-Solai’s Multivariate Additive Beta Distribution of Kind-2 of Type-A<#LINE#>G.S.@David,Jayakumar@Sam,@SolairajuA.,S.@DawoodAli<#LINE#>15-23<#LINE#>3.ISCA-RJMgtS-2012-024.pdf<#LINE#>Assistant Professor, Jamal Institute of Management, Tiruchirappalli, South India, INDIA Associate Professor, Dept. Of Mathematics, Jamal Mohamed college, Tiruchirappalli, South India, INDIA Assistant Professor, Jamal Institute of Management, Tiruchirappalli – 620 020 South India, INDIA <#LINE#>28/8/2012<#LINE#>30/8/2012<#LINE#>  This paper proposed a new generalization of bounded continuous multivariate symmetric probability distributions. More specifically the authors visualizes a new generalization of Sam-Solai’s multivariate additive Beta distribution of Kind-2 of Type-A from the uni-variate two parameter Beta distribution of Kind-1. Further,we find its  marginal, multivariate conditional distributions, multivariate generating functions, multivariate survival, hazard functions and also discussed it’s special cases. The special cases includes the transformation of Sam-Solai’s multivariate additive Beta distribution of Kind -2 of Type-A into multivariate additive Beta distribution of Kind-1 of Type-A, Multivariate F-distribution of Kind-1, Multivariate standard Logistic-Beta distribution of Kind-1. Moreover, it is found that the bivariate correlation between two Beta random variables purely depends on the shape parameter and we simulated and established selected standard bivariate Beta correlation bounds from 10,000 different combinations of values for shape parameter. <#LINE#> @ @ Srivastava M.S.,on the distribution of a multiple correlation matrix, non-central Multivariate beta distributions, Ann. Math. Statist., 39, 277-232 (1968) @No $ @ @ W. Y. Tan, Note on the multivariate and the generalized multivariate beta distributions, J.Amer. Statist. Assoc. 64, 230–241(1969) @No $ @ @ Khatri C.G. A note on Mitra’s paper “A density-free approach to the matrix variate beta distribution”, Sankhya Ser., A 32, 311–318 (1970) @No $ @ @ Javier W.R. and Gupta A.K., On generalized matric variate beta distributions, Statistics, 16(4), 549–558 (1985) @No $ @ @ Konno Y.,Exact moments of the multivariate F and beta distributions, J. Japan Statist. Soc., 18(2), 123–130 (1988) @No $ @ @ Khattree R. and Gupta R.D.,some probability distributions connected with beta and Gamma matrices, Comm. Statist., Theory Methods,21(2), 369–390 (1992) @No $ @ @ Uhlig H.,On singular Wishart and singular multivartiate beta distributions, Ann.Statistic., 22(15), 395-405 (1994) @No $ @ @ McDonald J.B. and Yexiao J. Xu, A generalization of the beta distribution with applications, Journal of Econometrics, 66, 133–152 (1995) @No $ @ @ Gupta K. and Nagar D.K.,Matrix variate beta distribution,Int. J.Maths and Math. Sci., 23(7), 449–459 (2000) @No $ @ @ Jones, M.C.Multivariate t and beta distributions associated with the multivariate F-distribution, Metrika, 54, 215-231 (2001) @No $ @ @ Nagar D.K. and Gupta A.K., Matrix variate Kummer-Beta distribution, Journal of Australian Mathematical Society, 73(1), 11–25 (2002) @No $ @ @ Gupta K. and Nadarajah S. (Eds.), Handbook of Beta Distribution and Its Applications, New York, Marcel Dekker (2004) @No $ @ @ Nadarajah S. and Kotz S., Some beta distributions, Bulletin of the Brazilian Mathematical Society, New Series, 37(1), 103–125 (2006) @No $ @ @ D´az-Garc´a J.A. and Guti´errez-J´aimez R.,Non-central, nonsingular matrix variate beta distribution, Brazilian J. Prob. Statist.21, 175–186 (2007) @No $ @ @  @No $
<#LINE#>Role of Speculation –A False Confidence in the Commodity Market<#LINE#>Bhawna@Sharma,Poonaam@Bassi<#LINE#>24-28<#LINE#>4.ISCA-RJMgtS-2012-017.pdf<#LINE#>Baddi University of Emerging Sciences and Technology, Baddi, Solan, Haryana, INDIA   <#LINE#>29/8/2012<#LINE#>30/8/2012<#LINE#>  The term speculation is known as the practice of buying at low prices with the intention of selling later at a higher price. Speculation periodically becomes the subject of intense debate. One claim that speculation, especially in the form of short selling, leads to higher market volatility. Another claim is that speculation leads to unjustified drops in price, in late 2008, the Securities and Exchange Commission imposed a temporary ban on short selling of the stocks of certain financial institutions.  But the problem is not always short-selling. It is commonly stated that speculative buying by index funds in commodity futures and over–the–counter derivatives markets created a ‘‘Fizz’’ in commodity prices, with the result that prices, and crude oil prices, in particular, far exceeded fundamental values at the peak. Speculators sometimes are accused of causing unjustified rises in prices. Speculation has always been criticized in the popular language and political discourse, such as to make easy money at the gaming and gambling, also has been made responsible, especially when linked to hoarding, to produce higher prices and thereby harm consumers. This paper is an effort made to draw the attention on the urgency need of speculation and its role in trading system especially in oil, gas and food prices. In this paper, it is concluded that speculation has tremendous impact on the economic growth and the economic system. The researcher focuses on the need to initiate actions to control gambling so that the currency rate can be in bar. <#LINE#> @ @ Engemann Kristie M. and Owyang Michael T., "Unconventional Oil Production: Stuck in a Rock and a Hard Place," The Federal Reserve Bank of St. Louis' the Regional Economist, 18(3), 14-15 (2010) @No $ @ @ Irwin Scott H. and Sanders Dwight R., "The Impact of Index and Swap Funds in Commodity Markets," A technical report prepared for the Organization for Economic Co-operation and Development, (2010) @No $ @ @ Campello, Murillo; Graham, John R and Harvey, Campbell R, The Real Effects of Financial Constraints: Evidence from a Financial Crisis, Journal of Financial Economics97(3), 470-87 (2010) @No $ @ @ Soros The New Paradigm for Financial Markets: The Credit Crisis of 2008 and what it means ISBN 1-58648-683-7 (2008) @No $ @ @ Hirshleifer David, Psychological Bias as a Driver of Financial Regulation, European Financial Management,14(5), 856-874 (2008) @No $ @ @ Ashcraft Adam B. and Schuermann Til., “Understanding the Securitization of Sub prime Mortgage Credit,”Foundations and Trends in Finance 2(3), 300-309 (2006) @No $ @ @ Caginalp, Gunduz; Porter, David; and Smith, Vernon. Financial Bubbles: Excess Cash, Momentum, and Incomplete Information, The Journal of Psychology and Financial Markets2(2), 80-99 (2001) @No $ @ @ Daniel Kent, Hirshleifer David and Subrahmanyam, Avanidhar, Investor Psychology and Security Market Under- and Overreactions, 3(6), 1839-85 (1998) @No $ @ @ Chan, Louis K.C., Jegadeesh, Naarasimhan and Lakonishok, Josef, Momentum Strategies, The Journal of Finance51(5),  1681-1713 (1996) @No $ @ @ Detemple Jerome & Murthy Shashidhar, "Intertemporal Asset Pricing with Heterogeneous Beliefs," Journal of Economic Theory, Elsevier,62(2), 294-320 (1994) @No $ @ @ Irole Jean, "On the Possibility of Speculation under Rational Expectations," Econometrica, Econometric Society,  50(5), 1163-1181 (1982) @No $ @ @ Ubinstein Mark, "Securities Market Efficiency in an Arrow-Debreu Economy," American Economic Review, American Economic Association,65(5), 812-24 (1975) @No $ @ @ Bruns Jr. William., “Accounting Information and Decision-Making: Some Behavioral Hypotheses,” The Accounting Review 43(3), 469-480 (1968) @No $ @ @ Ball Ray and Brown, Phillip. “An Empirical Evaluation of Accounting Income Numbers,” Journal of Accounting Research 6(2), 159-178 (1968) @No
@Short Communication
<#LINE#>Impact of Foreign Direct Investment on Indian economy<#LINE#>Devajit@Mahanta<#LINE#>29-31<#LINE#>5.ISCA-RJMgtS-2012-020.pdf<#LINE#>Vice President, 3A-Oberon Apartment, 6-Lamb Road, Ambari, Guwahati, Assam, INDIA <#LINE#>11/9/2012<#LINE#>14/9/2012<#LINE#>  Foreign direct investment (FDI) as a strategic component of investment is needed by India for achieving the economic reforms and maintains the pace of growth and development of the economy. The paces of FDI inflows in India initially were low due to regulatory policy framework but there is a sharp rise in investment flows from 2005 towards because of the new policy has broadened.  The study tries to find out how FDI seen as an important economic catalyst of Indian economic growth by stimulating domestic investment, increasing human capital formation and by facilitating the technology transfers. The main purpose of the study is to investigate the impact of FDI on economic growth in India. <#LINE#> @ @ Ministry of Finance, Report of the economic survey, Government of India, New Delhi (2003-04)2.Weisskof T.E., The impact of foreign capital inflow on domestic savings in underdeveloped countries, Journal of International Economics, 2, 25-38 (1972) @No $ @ @ 3.Sahoo D. Mathiyazhagan M.K. and Parida P., Is Foreign Direct Investment an engine of growth? Evidence from the Chinese economy, Savings and Development, , 419-439 2002) 4.Nayak D.N., Canadian Foreign Direct Investment in India: Some observations, Political Economy Journal of India, , 51-56 (1999) @No $ @ @ 5.Srivastava S., What is the true level of FDI flows to India?, Economic and Political Weekly,  19, 1201-1209 (2003) @No $ @ @ 6.Basu P., Nayak N.C. and Vani A., Foreign Direct Investment in India: Emerging Horizon, Indian Economic review, 25, 255-266, (2007) @No $ @ @ 7.Weisskof T.E., The impact of foreign capital inflow on domestic savings in underdeveloped countries, Journal of International Economics, , 25-38 (1972) @No