<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Mohit Sewak &#187; Primary Research</title>
	<atom:link href="http://mohit.sewak.in/category/research/primary-research/feed/" rel="self" type="application/rss+xml" />
	<link>http://mohit.sewak.in</link>
	<description>Gold Medalist (Marketing), Silver Medalist (Finance), Silver Medalist (PGPM)</description>
	<lastBuildDate>Sun, 14 Mar 2010 15:29:55 +0000</lastBuildDate>
	<generator>http://wordpress.org/?v=2.9.2</generator>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>Results (Conjoint Analysis- Indian Insurance Industry)</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/results-conjoint-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/results-conjoint-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 15:19:31 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Advertising Channel]]></category>
		<category><![CDATA[Communication Channel]]></category>
		<category><![CDATA[conjoint design]]></category>
		<category><![CDATA[Coverage]]></category>
		<category><![CDATA[Distribution Channel]]></category>
		<category><![CDATA[Feature of Plan]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[orthogonal design]]></category>
		<category><![CDATA[Perception Mapping]]></category>
		<category><![CDATA[quantitative research]]></category>
		<category><![CDATA[type of Plan]]></category>
		<category><![CDATA[Utility Values]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1310</guid>
		<description><![CDATA[.
.
.
Results &#8211; (Conjoint Analysis of the Indian Life Insurance)

.
.
Utility Values of Different Levels in every Factor:
.






. 




 
Factor

 
Level

Utility Estimate


Std. Error




Type


Term


.356


.191




ULIP


-.402


.191




Endowment


.046


.229




Coverage


Only Life


.019


.210




Life + heath


-.266


.260




life + pension


.704


.260




joint (spouse/ kids)


-.456


.260




Distribution


Online Purchase


.110


.191




Through Agent


.378


.191




Through Corpoate Tie-Ups


-.488


.229




Communication


Social Media


.090


.275




TV Ads


.500


.275




Newspaper &#38; Print Ads


-.255


.275




Hoarding &#38; Banners


.385


.275




Online Ads i.e. Google Adwords


-.720


.275




Positioning


Simple and honest plan


.412


.210




Maximizing Returns


-.217


.260




Maximizing coverage options


-.272


.260




Assured/ easier claims


.077


.260






(Constant)


12.825


.163




.
.

Importance of Different Attributes of [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/results-conjoint-insurance/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Phase 2 &#8211; Quantitaive Research (Conjoint &#8211; Indian Insurance Industry)</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/phase2-conjoint-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/phase2-conjoint-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 13:43:05 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[conjoint design]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[orthogonal design]]></category>
		<category><![CDATA[Perception Mapping]]></category>
		<category><![CDATA[quantitative research]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1303</guid>
		<description><![CDATA[.
.
.
Phase 2 &#8211; Quantitative Research &#8211; (Conjoint Analysis of the Indian Life Insurance)

.
.
Research 3:
Method:  Conjoint Analysis. 
Type: Fractional Factorial Design/ Full  Profile Conjoint Design.
.

(Green, P. and Srinivasan, V. (1978) Conjoint analysis in consumer research: Issues and outlook, Journal of Consumer Research, vol 5, September 1978, pp 103-123)
.
Research Design:

A total      of [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/phase2-conjoint-insurance/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Design of Experiment  (Conjoint Analysis &#8211; Indian Life Insurance Industry)</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/doe-conjoint-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/doe-conjoint-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 13:21:10 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[design of experiment]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[Perception Mapping]]></category>
		<category><![CDATA[qualitative research]]></category>
		<category><![CDATA[Secondary Research]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1296</guid>
		<description><![CDATA[.
.
.
Design of Experiment &#8211; (Conjoint Analysis of the Indian Life Insurance)

.
.
Phase 1 &#8211; Qualitative Research
 .
Research 1:
Method:  Secondary Research
Description:
.


We went through various literature on the different policies and plans being offered by various companies, their features, and their market shares.
We also visited their websites, newspaper, and TV ads to identify their integrated communication strategy.

.
.
Snapshot  [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/doe-conjoint-insurance/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>A Conjoint Analysis of the Indian Life Insurance Industry</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/conjoint-analysis-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/conjoint-analysis-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 12:09:15 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[Perception Mapping]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1288</guid>
		<description><![CDATA[.
.
.
A Conjoint Analysis of the Indian Life Insurance Industry
.
.
.
Why Conjoint Analysis?

.
Conjoint Analysis (Srinivasan, V. &#8211; 1978) is considered far superior to any other research methodology of knowing consumer perception, and scope of new product launch. The main reason behind this is that this is one of those rare techniques that makes the customer makes real [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/conjoint-analysis-insurance/feed/</wfw:commentRss>
		<slash:comments>14</slash:comments>
		</item>
		<item>
		<title>Perception Mapping of Indian Car Industry</title>
		<link>http://mohit.sewak.in/marketing/branding/perception-mapping-of-indian-car-industry/</link>
		<comments>http://mohit.sewak.in/marketing/branding/perception-mapping-of-indian-car-industry/#comments</comments>
		<pubDate>Fri, 08 Jan 2010 16:15:36 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Branding]]></category>
		<category><![CDATA[Correspondence Analysis]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[2 Dimension Mapping]]></category>
		<category><![CDATA[After Sales Service]]></category>
		<category><![CDATA[Attribute Mapping]]></category>
		<category><![CDATA[Brand Mapping]]></category>
		<category><![CDATA[Brand Perception]]></category>
		<category><![CDATA[Car Comfort]]></category>
		<category><![CDATA[Car Mileage]]></category>
		<category><![CDATA[Car Safety]]></category>
		<category><![CDATA[Consumer Perception]]></category>
		<category><![CDATA[Dimension Reduction]]></category>
		<category><![CDATA[FORD]]></category>
		<category><![CDATA[hyundai]]></category>
		<category><![CDATA[India Car Industry]]></category>
		<category><![CDATA[maruti]]></category>
		<category><![CDATA[Multiple Correspondence Analysis]]></category>
		<category><![CDATA[Perceptio Mapping]]></category>
		<category><![CDATA[SPSS]]></category>
		<category><![CDATA[TATA]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=261</guid>
		<description><![CDATA[.
.
The Changing Consumer Perception
.
India is poised to become a major Auto hub in the near future. Indian car industry is changing rapidly, so is the mindset of Indian Consumers. We, at the Great Lakes Institute of Management, took an initiative to find out that whether the changing ground realities have also changed the India Auto Consumer&#8217;s mindset vis-a-vis [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/marketing/branding/perception-mapping-of-indian-car-industry/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>The Most Sought After Attribute in a Car</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/important-car-attributes/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/important-car-attributes/#comments</comments>
		<pubDate>Mon, 04 Jan 2010 21:49:29 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Attribute in a Car]]></category>
		<category><![CDATA[Environmental Friendliness]]></category>
		<category><![CDATA[Image]]></category>
		<category><![CDATA[Price]]></category>
		<category><![CDATA[Quality]]></category>
		<category><![CDATA[Relative Importance of Attribute of a Car]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=416</guid>
		<description><![CDATA[.
.
Relative Importance of Attribute of a Car
.
.
Various attributes goes behind selecting a car for purchase. Even more of these attributes goes in a consumers mind before evaluating the supremacy of a car over another.
After good literature review, and discussion with experts, we came to the conclusion that the most sought after attributes for a car [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/business-analytics/important-car-attributes/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Marketing Research: Men&#8217;s Suit- Survey</title>
		<link>http://mohit.sewak.in/research/primary-research/marketing-research-mens-suit-survey/</link>
		<comments>http://mohit.sewak.in/research/primary-research/marketing-research-mens-suit-survey/#comments</comments>
		<pubDate>Wed, 28 Oct 2009 18:23:32 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Primary Research]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=793</guid>
		<description><![CDATA[.
.
.
$array = get_cforms_entries(&#8221;,&#8221;,&#8221;,&#8221;,&#8221;) /* all data, no filters */
.
Marketing Research: Men&#8217;s Suit- Survey
.
.

		
		
		
			Your Name(required)
			Email(valid email required)
			Age (in Years)(required)
			Marital Status
				Single
				Married
			(required)
			Employment Status
				Student
				Self Employed
				Government Service
				Private Service
				Unemployed
				Others
			(required)
			Emloyment Domain
			(required)
			Geographical Ethnicity
			(required)
			Religion
				Hindu
				Muslim
				Sikh
				Christian
				Buddhist
				Jain
			(required)
			Income Level&#124;&#124;
				0-3 Lakhs yearly
				3-6 Lakhs yearly
				6-9 Lakhs yearly
				9-12 Lakhs yearly
				>12 Lakhs yearly
			(required)
		
		
			&#160;
			
			
			
			
			
			
			
			
		
		
		
		cforms contact form by delicious:days
]]></description>
		<wfw:commentRss>http://mohit.sewak.in/research/primary-research/marketing-research-mens-suit-survey/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
	</channel>
</rss>
