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\title{Creating a Difference -The Store Ambience in Modern Day Retailing}
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             \author[1]{Dr. sangeeta  mohanty}

             \author[2]{chitra  sikaria}

             \affil[1]{  Academy of Business Administration, Balasoe}

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\date{\small \em Received: 18 December 2010 Accepted: 10 January 2011 Published: 22 January 2011}

\maketitle


\begin{abstract}
        


The dawn of 21st century has been welcomed by a changing culture in India. It?s the change from the traditional retailing to the organized or modern retailing. Organized retailing is the buzz word in India in the 21st century. The Fact lies in the scope of the organized retail which forms only 4% of the total Indian retail market. India has miles to go but it will cover very briskly as per the various international studies. The overwhelming response towards the organized retailing by the youth bears testimony to it. The youth are to be considered just for the reason that the Indian population is a young population as approximately 60% of the total population is below 30 years of age. There are various reasons that have lead to the change in the shift from traditional to modern. One of them being the STORE AMBIENCE. The comfortable, happening, sophisticated calls the young mass. This article is an attempt to study the importance of a good store ambience in organized retailing.

\end{abstract}


\keywords{Ambience, retail outlet, organized retail}

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\let\tabcellsep& 	 	 		 
\section[{EXPERIENCE.}]{EXPERIENCE.}\par
It supplements the other two elements mentioned above.\par
People like to be in good atmosphere, which in retail is the STORE AMBIENCE. The store ambience is an environment that is created by visual communications, lighting, music, colors etc., to generate a stimulus among the customer's perceptions \& emotions that will affect their purchasing behavior. The store atmosphere is about HAVING A LOOK AND AN ENVIRONMENT that suits the target market \& invites consumer for purchase. The Indian consumers generally shop from markets and areas which are tacky, filthy, stinking. They buy goods at bargained prices. But this trend is changing. Instead of moving into weekly haats, melas, mandis or any other traditional form of retail, consumers prefer walking into an air conditioned store to buy the products. Not only had this, but clean \& tidy stores, high speed escalators, scented environment, arresting displays draw their attention making it more comfortable and fun to shop. Today the stores have become hotspots of entertainment for a major chunk of the population i.e., the YOUTH. The consumer expectation for modern retailing environment is accelerating at a very fast pace. In order to create an unparalleled experience with the retail store understanding the customer preferences is of prime importance. The store ambience is to be designed to make shopping easy and also give a comfortable feeling. It enhances the shopping experience by assisting the shoppers what they want from an assortment of products in the store. To create a favorable mindset of the consumer towards the store image and store position it is important to have an ambience that has the potential to make the shopping pleasurable by forgetting the bitterness of heavy prices to be paid for expensive products in the stores. With the growing trend of modernization, architects are designing stimulating storefronts and interiors that create an impression of distinctiveness. It helps satisfying the customers and to create a warm welcoming feeling which will certainly enhance a customer's mood and improve the chances of turning a single sale into a longterm relationship. It is incredible to make a sale but it is so much more profitable to keep the customer satisfied thus making developing customer loyalty. Store ambience also assists in enhancing the brand value of the various products. It helps to increase consumer footfalls and provokes them for repeated purchases. It is possible to attract the customers using the right mix of elements of store ambience. It is very simple-a poor product. A good ambience is also required to facilitate the browsing process for products, which need to be touched \& felt before being chosen like clothes. Store ambience acts as a promotion tool used to communicate the store's image. An attractive store ambience is just like 'an icing with cherries on the cake'.\par
A striking store ambience draws the attention of the customer \& enables him to take purchase decision within shortest possible time, and thus enhancing the selling process. The shoppers which comprise mostly of the youth desire a comfortable store, so that they can stay for longer on each visit. Shoppers would tend to buy at a leisurely pace in such stores. In many cases, these stores are also utilized for spending waiting or spare time or meeting up with friends. The store ambience is responsible to create a difference between a forgetful transaction and a memorable retail experience.\par
II. 
\section[{RESEARCH METHODOLOGIES AND}]{RESEARCH METHODOLOGIES AND} 
\section[{DATA COLLECTION}]{DATA COLLECTION}\par
A random sampling technique was used in selecting the sampling units. Data was collected from 120 respondents of the different area of the city Bhubaneswar, Orissa, by using schedule method. The questionnaire was administered to each of the respondents who visited the retail store over one month period. The sample includes male and female, married and unmarried employees from different qualification, occupation, age group and income group. As the youth mass is the regular shopper, it was observed that major chunk of the respondents is youth. The data have been collected in the month of March 2009. In order to identify the important parameters of ambience of a store a questionnaire on different items related to the attributes was constructed on 5-point likert type scale in all eighteen attributes. The statements were measurable on a likert scale of 1-5; where 5 indicated strongly disagree and 1 indicated strongly agrees. The maximum focus was given on store front, lighting, music, store personnel behavior etc. 
\section[{III.}]{III.} 
\section[{Objective of the study}]{Objective of the study}\par
To find out the important reason of shifting from traditional to modern format.\par
To find out the parameters of ambience of a store To find out the association between the age of the respondents and their preference to westernized outlook and the ad-ons of shopping experience.\par
To find out the association between the income of the respondents and preference to westernized outlook and the ad-ons of shopping experience.\par
IV. 
\section[{TOOLS AND TECHNIQUES USED}]{TOOLS AND TECHNIQUES USED}\par
The statistical tools used for this purpose are Multiple regression technique-It is used to find out the weightage of the dependent variable on independent variable.\par
Chi-square test of independence of attributesits property is to find out the association between two variables. Ranking method-its basic property is to arrange a number of attributes in a particular order The data have been analyzed by using SPSS version-11.0 
\section[{Hypotheses}]{Hypotheses}\par
(1) For age wise analysis the hypothesis of our interest is H 0 : There is no significant association between the age and the Preference of westernized outlook.\par
H 0 : There is no significant association between the age and ad-ons of shopping experience.\par
(2) For income wise analysis the hypothesis is H 0 : There is no significant association between the income and the Preference of westernized outlook.\par
H 0 : There is no significant association between the income and the ad-ons of shopping experience.\par
(3) For gender wise analysis the hypothesis is H 0 : There is no significant association between the gender and the Preference of westernized outlook.\par
H 0 : There is no significant association between the gender and the ad-ons of shopping experience.\par
V. 
\section[{ANALYSIS AND INTERPRETATION}]{ANALYSIS AND INTERPRETATION} 
\section[{1) Shifting from traditional to modern format}]{1) Shifting from traditional to modern format}\par
The tendency of shifting from traditional to modern format is correlated with ambience, convenience, quality and the involvement of MNC giving the international experience. Here the basic interest is to find out the weightage of the independent variables (ambience, convenience, quality and the involvement of MNC giving the international experience) on the predictor, "tendency of shifting from traditional to modernformat".\par
To find out the relationship between the gender of the respondents and their preference to westernized outlook and the ad-ons of shopping experience.\par
Let Y be the dependent variable Y = the tendency of shifting from traditional to modern format. B = the coefficient of determinant (a constant value)   Interpretation: The respondents have given more importance to ambience of the store and less importance to the variable "involvement of MNC giving the international experience".X 1 = Ambience X 2 = Convenience X 3 = Quality X4 = Involvement of MNC giving the international experience. Y = B 0 + B 1 X 1 + B 2 X 2 + B 3 X 3 + B 4 X 4\par
2) Importance of the store ambience in attracting the crowd.\par
The importance of the store ambience is analyzed with respect to two attributes, westernized outlook and ad-ons of the shopping experience. We conducted a pilot survey on 30 people of different back ground and the majority of the responses favoured to these two attributes. In this case we have tried to find out the association between the personal background and the importance of the sore ambience in attracting the crowd. For this purpose we have performed chisquare test to test the relationship between age, gender, income and the importance of the sore ambience in attracting the crowd. Null hypothesis H 0 : There is no significant association between the gender and the Preference of westernized outlook. 
\section[{2.1) Westernized outlook-Gender wise Analysis}]{2.1) Westernized outlook-Gender wise Analysis}\par
Alternative hypothesis H 1: There is an association between the gender and the Preference of westernized outlook.\par
Test statistic:\par
x2 (Chi-square) = ?[(O-E) 2 /E]=1.495\par
Tab. Val of x 2 (0.05) at 1 d.f is 3.841\par
As, x 2 cal < x 2 tab , H 0 is accepted and H 1 is accepted rejected. Interpretation: There is no significant association between the gender and the Preference of westernized outlook.\par
2.1.1) Westernized outlook -Income wise analysis. Null hypothesis H 0 : There is no significant association between the income and the Preference of westernized outlook.\par
Alternative hypothesis H 1: There is an association between the income and the Preference of westernized outlook.\par
Test statistic:\par
x 2 (Chi-square) = ?[(O-E) 2 /E]= 11.671\par
Tab. Val of x 2 (0.05) at 3 d.f is 7.815\par
As, x 2 cal > x 2 tab , H 0 is rejected and H 1 is accepted. Interpretation: There is an association between the income and the Preference of westernized outlook. Westernized outlook -Age wise analysis. Null hypothesis H 0 : There is no significant association between the age and the Preference of westernized outlook.\par
Alternative hypothesis H 1: There is an association between the age and the Preference of westernized outlook.\par
Test statistic: Null hypothesis H 0 : There is no significant association between the gender and ad-ons of shopping experience.x 2 (Chi-square) = ?[(O-E) 2 /E]=\par
Alternative hypothesis H 1: There is an association between the gender and ad-ons shopping experience.\par
Test statistic:x 2 (Chi-square) = ?[(O-E) 2 /E]=0.349\par
Tab. Val of x 2 (0.05) at 1 d.f is 3.841\par
As, x 2 cal < x 2 tab , H 0 is accepted and H 1 is rejected Interpretation: There is no significant association between the gender and ad-ons on shopping experience.\par
2.2.1) Ad-on of the shopping experience -Income wise analysis. Null hypothesis H 0 : There is no significant association between the income and ad-on of the shopping experience.\par
Alternative hypothesis H 1: There is an association between the income and ad-ons of shopping experience.\par
Test statistic:x 2 (Chi-square) = ?[(O-E) 2 /E] = 4.45 Tab. Val of x 2 (0.05) at 3 d.f is 7.815 As, x 2 cal < x 2\par
tab , H 0 is accepted and H 1 is rejected Interpretation: There is no significant association between the income and the ad-ons on shopping experience.\par
2.2.2) Ad-on of the shopping experience -Age wise analysis. Null hypothesis H 0 : There is no significant association between the age and the ad-ons on shopping experience.\par
Alternative hypothesis H 1: There is an association between the age and the ad-ons on shopping experience.\par
Test statistic:x 2 (Chi-square) = ?[(O-E) 2 /E]= 16.53 Tab. Val of x 2 (0.05) at 3 d.f is 7.815 As, x 2 cal > x 2\par
tab , H 0 is rejected and H 1 is accepted Interpretation: There is an association between the age and the ad-ons on shopping experience.\par
3) Attributes of Ambience of a Retail Store\par
The importance of the physical environment in a retail setting has long been recognized. The retail environment has an impact on an array of consumer emotions and attitudes of choosing a store. The analysis of Shifting from traditional to modern format resulted that ambience of the store is the main reason of such shifting. It is therefore necessary to assess the important factors influencing the ambience of a store. There are so many factors, but we have included the following factors only. The data have been collected on 5-point likert type scale in all eighteen attributes. The statements were measurable on a likert scale of 1-5; where 5 indicates strongly disagree and 1 indicates strongly agree. 
\section[{Table-11}]{Table-11}\par
Interpretation: From the above analysis we observed that the attributes Store Front, Display Windows and Marquee have the lowest rank sum. So, we conclude that the Store Front, Display Windows and Marquee are the prime factors of ambience, where as the least preference goes to Efficient Billing systems and the Availability of a cafeteria. 
\section[{VI.}]{VI.} 
\section[{CONCLUSION}]{CONCLUSION}\par
Beyond doubt there is no free lunch. The retailers have to shell out a huge chunk of there investment just to create this shopping experience, but ultimately it is the customer himself who has to bear the load of this investment by paying higher prices for this SHOPPING EXPERIENCE. With competition getting stiffer \& stiffer day by day, and the availability of the same brands across all stores, the only way out to differentiate is to STAND OUT of the crowd. Ambience and facilities are more important in cases where the shopper spends more time within the store. Out of the above the more challenging is the execution. It is very evident that customer experience of the store ambience has the ability to make difference to a retailer's performance.\par
The paper explores the following findings in that light.\par
The respondents have given more importance to ambience of the store and less importance to the variable "involvement of MNC giving the international experience".There is no significant association between the gender and the Preference of westernized outlook, but income And age are associated significantly with Preference of westernized outlook.Income and gender are not significantly associated with ad-ons of the shopping experience. Whereas age is significantly associated with ad-ons of the shopping experienceStore Front, Display Windows and Marquee are the prime factors of ambience, where as the least preference goes to Efficient Billing systems and the Availability of a cafeteria.   {\ref Grewal, D. and Levy (1992)}, "An experimental approach to making retail store environmental decisions", Journal of Retailing, Vol. 68, pp. 445-60. 
\section[{References Références Referencias}]{References Références Referencias}\par
10) Baker, J.,  {\ref Grewal, D., Levy, Parasuraman, A. and Glenn, B. (2002)}, "The influence of multistore environmental clues on perceived merchandise value and patronage intentions", Journal of Marketing, Vol. 66, pp. 120-41 11)  {\ref Kim, B. and Park, K. (1997)} \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-2.png}
\caption{\label{fig_0}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.17547348484848485\textwidth}P{0.057954545454545446\textwidth}P{0.09981060606060606\textwidth}P{0.4459280303030303\textwidth}P{0.041856060606060605\textwidth}P{0.028977272727272723\textwidth}}
\tabcellsep \tabcellsep \multicolumn{3}{l}{1 -Variables Entered/Removed}\\
Model\tabcellsep \multicolumn{2}{l}{Variables Entered}\tabcellsep \multicolumn{2}{l}{Variables Removed}\tabcellsep Method\\
1\tabcellsep \multicolumn{2}{l}{X4, X2, X3, X1}\tabcellsep .\tabcellsep \tabcellsep Enter\\
\multicolumn{2}{l}{a All requested variables entered.}\tabcellsep \tabcellsep \multicolumn{3}{l}{This table shows us the order in which the variables}\\
b Dependent Variable: Y\tabcellsep \tabcellsep \tabcellsep \multicolumn{3}{l}{were entered and removed from our model. We can see that in this case three variables were added and none}\\
\tabcellsep \tabcellsep \tabcellsep \multicolumn{2}{l}{were removed.}\\
\tabcellsep \tabcellsep \multicolumn{2}{l}{Table-2 -Model Summary}\tabcellsep \\
Model\tabcellsep R\tabcellsep R Square\tabcellsep Adjusted\tabcellsep \multicolumn{2}{l}{Std. Error of the Estimate}\\
1\tabcellsep .625\tabcellsep .390\tabcellsep .268\tabcellsep \tabcellsep 8.80835\\
\multicolumn{2}{l}{a Predictors: (Constant), X4, X2, X3, X1}\tabcellsep \tabcellsep \multicolumn{3}{l}{Adjusted R Square value tells us that our model}\\
\tabcellsep \tabcellsep \tabcellsep \multicolumn{3}{l}{accounts for 39\% of variance.}\end{longtable} \par
 
\caption{\label{tab_0}Table -}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.24036885245901637\textwidth}P{0.08012295081967212\textwidth}P{0.12889344262295083\textwidth}P{0.30655737704918035\textwidth}P{0.05922131147540983\textwidth}P{0.020901639344262295\textwidth}P{0.013934426229508197\textwidth}}
\tabcellsep \tabcellsep \multicolumn{2}{l}{3 -ANOVA}\tabcellsep \tabcellsep \tabcellsep \\
Model\tabcellsep \tabcellsep Sum of\tabcellsep Df\tabcellsep Mean\tabcellsep F\tabcellsep Si\\
1\tabcellsep Regression\tabcellsep 992.260\tabcellsep 4\tabcellsep 248.065\tabcellsep 3.197\tabcellsep .0\\
\tabcellsep Residual\tabcellsep 1551.740\tabcellsep 20\tabcellsep 77.587\tabcellsep \tabcellsep \\
\tabcellsep Total\tabcellsep 2544.000\tabcellsep 24\tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{2}{l}{a Predictors: (Constant), X4, X2, X3, X1}\tabcellsep \tabcellsep \multicolumn{4}{l}{This table reports an ANOVA, which assesses the overall}\\
b Dependent Variable: Y\tabcellsep \tabcellsep \tabcellsep \multicolumn{2}{l}{significance of our model.}\tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_1}Table -}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.3631292517006803\textwidth}P{0.0427891156462585\textwidth}P{0.06938775510204082\textwidth}P{0.2798639455782313\textwidth}P{0.03816326530612245\textwidth}P{0.02891156462585034\textwidth}P{0.02775510204081633\textwidth}}
\tabcellsep \tabcellsep \multicolumn{2}{l}{4 -Coefficients}\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep \multicolumn{2}{l}{Unstandardized Coeff.}\tabcellsep Standardized\tabcellsep t\tabcellsep Sig.\\
Model\tabcellsep \tabcellsep B\tabcellsep Std.\tabcellsep Beta\tabcellsep \\
1\tabcellsep (Constant)\tabcellsep 33.871\tabcellsep 22.26\tabcellsep \tabcellsep 1.521\tabcellsep .144\\
\tabcellsep X1-Ambience\tabcellsep .498\tabcellsep .216\tabcellsep .514\tabcellsep 2.309\tabcellsep .032\\
\tabcellsep X2-\tabcellsep .227\tabcellsep .413\tabcellsep .111\tabcellsep .551\tabcellsep .588\\
\tabcellsep X3-Quality\tabcellsep .350\tabcellsep .962\tabcellsep .079\tabcellsep .364\tabcellsep .720\\
\tabcellsep X4-\tabcellsep -.285\tabcellsep .256\tabcellsep -.218\tabcellsep -1.113\tabcellsep .279\\
\multicolumn{2}{l}{a Dependent Variable: Y}\tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{3}{l}{The Standardized Beta Coefficients give a measure of}\tabcellsep \multicolumn{4}{l}{for involvement of MNC giving the international}\\
\multicolumn{3}{l}{the contribution of each variable to the model. The t and}\tabcellsep \multicolumn{4}{l}{experience (-1.113) with the tendency of shifting from}\\
\multicolumn{3}{l}{Sig (p) values give a rough estimation of the effect of}\tabcellsep \multicolumn{2}{l}{traditional to modern format.}\tabcellsep \\
\multicolumn{3}{l}{each predictor variable. Ambience has the highest beta value (0.498),}\tabcellsep \multicolumn{4}{l}{The multiple regression equation is}\\
\multicolumn{3}{l}{convenience and quality have the beta values (0.227)}\tabcellsep \multicolumn{4}{l}{Y = 33.871 +0.498 X1 +0.227 X 2 + 0.350X 3 -0.285X 4}\end{longtable} \par
  {\small\itshape [Note: and (0.350), involvement of MNC giving the international experience has the negative value of (-0.285).Error variance is explained by constant by (22.267), followed by ambience (0.216), convenience (0.413), quality (0.962), involvement of MNC giving the international experience (0.256). Sample t-test correlates negatively]} 
\caption{\label{tab_2}Table -}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.26666666666666666\textwidth}P{0.16666666666666666\textwidth}P{0.21666666666666665\textwidth}P{0.19999999999999998\textwidth}}
\tabcellsep \tabcellsep 5\tabcellsep \\
Gender\tabcellsep Male\tabcellsep Female\tabcellsep Total\\
Yes\tabcellsep 18\tabcellsep 63\tabcellsep 81\\
No\tabcellsep 13\tabcellsep 26\tabcellsep 39\\
Total\tabcellsep 31\tabcellsep 89\tabcellsep 120\end{longtable} \par
 
\caption{\label{tab_3}Table -}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.10119047619047618\textwidth}P{0.11130952380952382\textwidth}P{0.19226190476190474\textwidth}P{0.20238095238095236\textwidth}P{0.12142857142857141\textwidth}P{0.12142857142857141\textwidth}}
\tabcellsep \tabcellsep \tabcellsep 6\tabcellsep \tabcellsep \\
\tabcellsep <10,000\tabcellsep 10,000-20,000\tabcellsep 20,000-30,000\tabcellsep >30,000\tabcellsep Total\\
Yes\tabcellsep 7\tabcellsep 15\tabcellsep 22\tabcellsep 18\tabcellsep 62\\
No\tabcellsep 5\tabcellsep 25\tabcellsep 24\tabcellsep 4\tabcellsep 58\\
Total\tabcellsep 12\tabcellsep 40\tabcellsep 46\tabcellsep 22\tabcellsep 120\end{longtable} \par
 
\caption{\label{tab_4}Table -}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.14932432432432433\textwidth}P{0.11486486486486487\textwidth}P{0.13783783783783785\textwidth}P{0.12635135135135137\textwidth}P{0.1837837837837838\textwidth}P{0.13783783783783785\textwidth}}
\tabcellsep \tabcellsep 7\tabcellsep \tabcellsep \tabcellsep \\
Age\tabcellsep 15-25\tabcellsep 25-35\tabcellsep 35-45\tabcellsep 45 and more\tabcellsep Total\\
Yes\tabcellsep 23\tabcellsep 32\tabcellsep 21\tabcellsep 2\tabcellsep 78\\
No\tabcellsep 7\tabcellsep 10\tabcellsep 10\tabcellsep 15\tabcellsep 42\\
Total\tabcellsep 30\tabcellsep 42\tabcellsep 31\tabcellsep 17\tabcellsep 120\end{longtable} \par
 
\caption{\label{tab_5}Table -}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.1511111111111111\textwidth}P{0.10388888888888888\textwidth}P{0.18888888888888888\textwidth}P{0.17944444444444443\textwidth}P{0.11333333333333333\textwidth}P{0.11333333333333333\textwidth}}
\tabcellsep \tabcellsep 9\tabcellsep \tabcellsep \tabcellsep \\
Income\tabcellsep <10,000\tabcellsep 10,000-20,000\tabcellsep 20,000-30,000\tabcellsep >30,000\tabcellsep Total\\
Yes\tabcellsep 5\tabcellsep 20\tabcellsep 28\tabcellsep 16\tabcellsep 69\\
No\tabcellsep 7\tabcellsep 20\tabcellsep 18\tabcellsep 6\tabcellsep 51\\
Total\tabcellsep 12\tabcellsep 40\tabcellsep 46\tabcellsep 22\tabcellsep 120\end{longtable} \par
 
\caption{\label{tab_7}Table -}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.42897196261682236\textwidth}P{0.42102803738317757\textwidth}}
\multicolumn{2}{l}{ANNEXURE}\\
\multicolumn{2}{l}{SWOT Analysis}\\
STRENGHTS\tabcellsep \\
? Use of modern technology to succeed over\tabcellsep \\
the unorganized retailers\tabcellsep \\
? ? Growing population with the rise of middle\tabcellsep ? Unorganized retailing a major threat by THREATS\\
class income group.\tabcellsep offering a parallel market to the organized\\
\tabcellsep retail.\\
\tabcellsep ? Prevalence of window-shopping instead of\\
\tabcellsep shopping culture.\\
\tabcellsep ?\end{longtable} \par
  {\small\itshape [Note: OPPORTUNITIES?]} 
\caption{\label{tab_10}}\end{figure}
 			\footnote{March 2011©2011 Global Journals Inc. (US)} 			\footnote{Global Journal of Management and Business Research Volume XI Issue III Version I March 2011 ©2011 Global Journals Inc. (US)} 			\footnote{Global Journal of Management and Business Research Volume XI Issue III Version I March 2011 ©2011 Global Journals Inc. (US) ©2011 Global Journals Inc. (US)} 		 		\backmatter  			  				\begin{bibitemlist}{1}

\end{bibitemlist}
 			 		 	 
\end{document}
