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The Nexus Between Supply Chain Concerns and Business Profile of Manufacturing Industries

Year	2014
Volume/Issue/Review Month	Vol. - VII \| Issue I \| January - June
Title	The Nexus Between Supply Chain Concerns and Business Profile of Manufacturing Industries
Authors	C. Ganesh Kumar , T. Nambirajan
Broad area	The Nexus Between Supply Chain Concerns and Business Profile of Manufacturing Industries
Abstract	The purpose of this paper is to emperically test the relationship between supply chain concerns and business profile of manufacturing industries. With help of questionnaire survey conducted on executives of manufacturing industries in the Union Territory of Puducherry, India. This research work has explored the relationship between supply chain concerns and business profile of manufacturing industries by using chi-square test, Analysis of Variance (ANOVA), Independent sample t-test, Correspondence analysis and Canonical correlation analysis. A general conclusion is that positive correlation and 18% of the share variance exists between the two sets of variables supply chain concerns factors and the business profile of manufacturing enterprises.
Description	Supply chain management has become the focal point and goal of all the organizations in the global market. This is due to progressive enterprises are focusing on value addition to end customer instead of simply concentration on cost reduction goal. Buildi
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Number of Employees .4838434 .2086291 2.32 0.021 .0729801 .8947066 Nature of Industry -.823076 .3995322 -2.06 0.040 - 1.609895 -.036259 Listing .3564255 .2262582 1.58 0.116 .0891557 .8020066 Manufacturing Pattern .0399343 .223914 0.18 0.859 -.4010302 .4808989 Market coverage .3412621 .3946348 0.86 0.388 -.4359111 1.118435 Market Area .3846481 .2878778 1.34 0.183 -.1822833 .9515794 V2 software .2498602 .5937158 0.42 0.674 -.9193725 1.419093 Coherence 1.327923 .4429044 3.00 0.003 .4556904 2.200156 Geographical Proximity -.577761 .3211276 -1.80 0.073 -1.210173 .0546506 U3 Competition -.106550 .3759222 -0.28 0.777 -.8468723 .6337706 (Continued…) Coef. Std. Err. t P>\|t\| [95% conf. interval] Number of Employees .5648546 .2945954 1.92 0.056 -.0153063 1.145015 Nature of Industry -.830553 .5641608 -1.47 0.142 -1.941582 .2804755 Listing -.379173 .3194887 -1.19 0.236 -1.008357 .2500113 Manufacturing Pattern .3197423 .3161786 1.01 0.313 -.3029232 .9424077 Market coverage -.065072 .5572455 -0.12 0.907 -1.162482 1.032338 Market Area -.277275 .4064988 -0.68 0.496 -1.077812 .5232622 V3 software .8501017 .8383584 1.01 0.312 -.8009174 2.501121 Canonical correlations: 0.2955 0.2739 0.1977 Tests of significance of all canonical correlations Vareiables Statistics df1 df2 F Prob>F Wilks' lambda 0.8112 21 704.058 2.5343 0.0002 a Pillai's trace 0 .201442 21 741 2.5399 0.0002 a Lawley-Hotelling trace 0 .217473 21 731 2.5234 0.0002 a Roy's largest root 0 .0956764 7 247 3.3760 0.0019 u e = exact, a = approximate, u = upper bound on F 10 Srusti Management Review, Vol -VII, Issue - I, Jan. - Jun. 2014 3. 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