Conjoint analysis (in marketing)

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Topic: Conjoint analysis (in marketing)

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	Encyclopedia: Marketing
		For a marketing plan to be successful, the mix of the four "p's" must reflect the wants and desires of the consumers in the target market.
		Marketers depend on marketing research, both formal and informal, to determine what consumers want and what they are willing to pay for.
		Marketing methods are informed by many of the social sciences, particularly psychology, sociology, and economics.
	www.nationmaster.com /encyclopedia/Marketing (2781 words)

	Marketing - All About All findings
		An agricultural marketing organization is an organization that helps farmers sell common commodities and obtain discounts when purchasing from vendors.
		Market populism is a term coined by Thomas Frank for the concept that the free market is more democratic than any democracy.
		The bull market tends to be associated with rising investor confidence and expectations of further capital gains.
	www.allaboutall.info /search/Marketing (633 words)

	conjoint marketing research and other marketing related information
		Conjoint analysis was first used in the early 1970's and has become an important marketing research tool.
		Conjoint and trade-off analysis pricing research and pricing marketing research for new products, branding, product introductions; conjoint...
		Conjoint Marketing Research Conjoint Analysis Product Research Conjoint Analysis Market Research Conjoint Analysis Example Available Customer Surveys Customer Survey Customer Satisfaction...
	www.nethorde.com /marketing/conjoint-marketing-research.html (319 words)

	Marketing 696
		SurveySite, providing on-line marketing research (with a conjoint demo)
		Timberlake Consultants - software for many technical purposes, including conjoint analysis
		Market Research Software Archive - a collection of downloadable marketing-related software demos
	lsb.scu.edu /~tburnham/mktg696.htm (319 words)

	Market Research Firm Marketing Strategy Consultants and New Products Marketing Research Online Surveys Phone Focus Groups Surveys Customer Satisfaction Research Segmentation Positioning
		Conjoint analysis has been successful in driving entire marketing strategy revisions, the Marriott segmentation and positioning of its hotel properties is but one visible example.
		Conjoint analysis pricing market research typically reports price elasticity of both prices and product features to allow marketing managers to simulate market conditions and product positioning to adjust perceived product value, product and brand image, and price levels.
		Pricing research includes such tools as statistical conjoint, or trade-off analysis, with market survey research data from online surveys, personal interviews, or phone surveys.
	www.powerdecisions.com /faq-conjoint-analysis.shtml (444 words)

	More on Conjoint Analysis and Choice Modelling
		"Conjoint Analysis in Marketing: New Developments With Implications for Research and Practice" by Paul E. Green and V. Srinivasan, Journal of Marketing, October 1990.
		Adaptive Conjoint Analysis (ACA), developed by Sawtooth Software uses self-explicated ratings on attributes to weed out the less important ones - this is different for each respondent.
		If the stimuli (cards) have been rated on an interval scale, such as 0 to 100 (or if 100 points has been allocated across all cards) then ordinary least squares (OLS) regression analysis can be used to compute utilities.
	www.futuretoolkit.com /ccmore.htm (779 words)

	conjoint marketing research and other marketing related information
		Conjoint analysis was first used in the early 1970's and has become an important marketing research tool.
		Conjoint and trade-off analysis pricing research and pricing marketing research for new products, branding, product introductions; conjoint...
		New product development research and conjoint marketing research are tools that help managers determine profitability and understand market variables.
	www.nethorde.com /marketing/conjoint-marketing-research.html (318 words)

	Analysis
		Conjoint analysis (in marketing) Conjoint analysis, also called multiattribute compositional models, is a statistical t...
		Competitor analysis Competitor analysis in marketing is an assessment of the strengths and weaknesses of current and pot...
		Cluster analysis (in marketing) Cluster analysis is a class of statistical techniques that can be applied to data that e...
	www.brainyencyclopedia.com /topics/analysis.html (318 words)

	Marketing Research
		In the language of conjoint analysis (as opposed to the language of economics) these are often called "part worths" but their meaning is the same, they are measures of utility.
		And, cluster analysis is used to group individuals, or to form segments, according to a wide range of variables or characteristics.
		The concept of utility is very important to economics and marketing theory.
	alpha.fdu.edu /~laskey/Research.htm (318 words)

	Paul E. Green, Professor - Wharton Marketing Faculty
		Adventures in Conjoint Analysis: A Practitioner's Guide to Trade-Off Modeling and Applications, with Abba Krieger and Jerry Wind - The authors have provided a full downloadable copy of the monograph in hopes to elicit reader feedback on both linguistic and content evaluations.
		"It's Not Easy Being Paul Green" describes Professor Green's work in conjoint analysis.
		The award is sponsored by General Motors in honor of Henry Grady “Buck” Weaver who was a pioneer in marketing research and market-based decision making in the 1930s.
	www-marketing.wharton.upenn.edu /people/faculty/green.html (318 words)

	Conjoint Analysis
		Conjoint analysis, one of the widely applied marketing research and psychology research method, was used for understanding and predicting the consumer's preference, decision, and choice.
		Essentially, the purpose of the conjoint analysis is to study and model the conditions that the decision maker uses in evaluation.
		The technique of the conjoint analysis involves the utility function, attribute and the component which is decomposed for each attribute.
	interneg.org /interneg/research/article_summary/choice/conjoint.html (3123 words)

	Conjoint analysis (in marketing) - Wikipedia, the free encyclopedia
		The objective of conjoint analysis is to determine what combination of a limited number of attributes is most preferred by respondents.
		Conjoint analysis, also called multiattribute compositional models, is a statistical technique that originated in mathematical psychology.
		The original methods were monotonic analysis of variance or linear programming techniques, but these are largely obsolete in contemporary marketing research practice.
	en.wikipedia.org /wiki/Conjoint_analysis_(in_marketing) (429 words)

	Conjoint Analysis
		Conjoint analysis is a versatile marketing research technique that can provide valuable information for new product development and forecasting, market segmentation and pricing decisions.
		A conjoint analysis was developed using a number of attributes such as saving on energy bill, efficiency rating of equipment, safety record of energy source, and dependability of energy source.
		Conjoint analysis can be used to determine the relative importance of each attribute, attribute level, and combinations of attributes.
	mot.vuse.vanderbilt.edu /marketing/conjoint.htm (1830 words)

	Issue 2
		The purpose of this paper is to discuss various conjoint models and explore their potential application in consumer choice studies for the update on conjoint analysis, including marketing use and issues of reliability and validity, see Green and Srinivasan (1990).
		Hybrid conjoint models were developed in the early 1980s, ten years after conjoint analysis was first introduced into market research, expressly for the purpose of reducing the complexity of the data collection process of the traditional conjoint model.
		Conjoint analysis is first explained and then elaborated as to the four different models which are in common use today and which are available in canned software.
	scholar.lib.vt.edu /ejournals/JIAHR/issue2 (8961 words)

	Conjoint Analysis
		Conjoint analysis was first used in the early 1970's and has become an important marketing research tool.
		Conjoint analysis is a tool that allows a subset of the possible combinations of product features to be used to determine the relative importance of each feature in the purchasing decision.
		Conjoint analysis is based on the fact that the relative values of attributes considered jointly can better be measured than when considered in isolation.
	www.quickmba.com /marketing/research/conjoint (531 words)

	EPLORING THE POSSIBILITIES OF CONJOINT MEASUREMENT AS A DECISION-MAKING TOOL FOR VIRTUAL WAYFINDING ENVIRONMENTS
		Conjoint analysis is a generic term coined by Green and Srinivasan (1978) to refer to a number of paradigms in psychology, economics and marketing that are concerned with the quantitative description of consumer preferences or value trade-offs (Timmermans, 1984; Louviere, 1988).
		Conjoint analysis sometimes referred to as stated preference modeling involves the use of hypothetical choice situations generated according to the principles underlying the design of statistical experiments to measure individuals’ preferences, examine consumer behavior and/or predict their choice in new situations (Oppewal, 1995).
		Conjoint analysis involves the use of designed hypothetical choice situations to measure individuals’ preferences and predict their choice in new situations.
	www.ds.arch.tue.nl /Research/publications/jan/cdria97.htm (3111 words)

	Management & Marketing
		Conjoint analysis is one of the most important innovations in the field of marketing.
		An internationally-acclaimed specialist in marketing, Srinivasan did some primary work in the early 1970s on the evolution of conjoint analysis.
		But before you ask him to foretell your career path, he reveals his secret — conjoint analysis, a technique used to quantify the value that people associate with different levels of product or service attributes.
	www.business-standard.com /strategist/storypage.php?chklogin=&autono=180758&lselect=1&leftnm=lmnu7&leftindx=7 (877 words)

	Which Conjoint Method Should I Use?
		Conjoint analysis has become one of the most widely used quantitative tools in marketing research.
		Conjoint analysis comes in a variety of forms.
		Since then, ACA has been reported to be the most popular conjoint software tool in Europe, and we believe it shares the same status elsewhere.
	www.researchinfo.com /docs/library/which_conjoint.cfm (1296 words)

	Stated-Preference Methodology (Conjoint Analysis) - RTI Health Solutions
		Conjoint analysis also is useful in areas of health economics other than product development, pricing, and marketing studies.
		Conjoint analysis or stated-preference surveys quantify the effects of health care interventions and outcomes on the satisfaction, utility, and behavior of patients, physicians, or other decision makers.
		Stated-Preference Methodology (Conjoint Analysis) - RTI Health Solutions
	www.rtihealthsolutions.org /services_conjoint.cfm (382 words)

	News: Sawtooth News: PDFs
		Conjoint analysis is a popular marketing technique that marketers use to determine what features a new product should have and how it should be priced.
		But if you understand this example, you understand what conjoint analysis is and what it can do for you as a marketer.
		Conjoint analysis became popular because it was a far less expensive and more flexible way to address these issues than concept testing.
	www.sawtooth.com /news/library/articles/15min.htm (687 words)

	News: Library
		Conjoint Analysis: After the Basics by Joseph Curry.
		One of the seminal articles on conjoint techniques; reprinted from the Journal of Marketing Research.
		This article is intended for researchers already familiar with the basics of conjoint, and who are ready to perform their first studies.
	www.sawtooth.com /news/library/index.htm (393 words)

	Designing Your Conjoint Analysis Study
		THE CONCEPT OF CONJOINT ANALYSIS Marketing managers are faced with numerous difficult tasks directed at assessing future profitability, sales, and market share for new product entries or modifications of existing products or marketing strategies.
		The objective of OLS conjoint analysis is to produce a set of additive part-worth utilities (vector or ideal point utilities may also be estimated) that identify each respondent's preference for each level of a set of product attributes.
		In conjoint analysis, we examine the preference for a set of brands or other choice alternatives that are described by an inventory of attributes.
	marketing.byu.edu /htmlpages/tutorials/conjoint.htm (2914 words)

	Chapter Summary - Student Resources - For the Student - Marketing Research
		Factor analysis, cluster analysis, multidimensional scaling, discriminant analysis, and conjoint analysis are commonly used multivariate statistical techniques.
		Discriminant analysis can also be used to determine whether statistically significant differences exist between the average discriminant score profiles of two or more groups.
		Marketing managers are often concerned with various aspects of the consumer (e.g., demographics, lifestyles); consumers' purchasing process (e.g., motives, perceptions); and competition.
	mhhe.com /business/marketing/hair/student/summary/ch18slo.mhtml (2914 words)

	Eleven Multivariate Analysis Techniques:Key Tools in Your Marketing Research Survival Kit by Michael Richarme
		Conjoint analysis is often referred to as “trade-off analysis,” in that it allows for the evaluation of objects and the various levels of the attributes to be examined.
		There are two main factor analysis methods: common factor analysis, which extracts factors based on the variance shared by the factors, and principal component analysis, which extracts factors based on the total variance of the factors.
		Common factor analysis is used to look for the latent (underlying) factors, where as principal components analysis is used to find the fewest number of variables that explain the most variance.
	www.decisionanalyst.com /publ_art/Multivariate.asp (2914 words)

	Advantage Research Incorporated
		Conjoint analysis is a survey and statistical technique that is especially useful in new product development.
		Factor analysis is a multivariate statistical technique that is used to understand the interrelationships among a large number of variables and to explain the variables in terms of their common underlying dimensions (i.e., factors).
		Cluster analysis is a multivariate statistical technique used to classify individuals into "natural" groups or segments (i.e., suggested by analysis of the data rather than developed a priori and imposed on the data).
	www.advantageresearchinc.com /dcs_techniques.jsp (2914 words)

	Sawtooth Software: Online Surveys and Conjoint Analysis
		Cluster analysis, widely used within marketing research for the past 20 years, can be especially helpful in identifying potential market segments.
		Once identified, clusters can be characterized in terms of demographic or lifestyle variables, product consumption, company size, SIC codes, etc. Cluster analysis can help identify market segments and evaluate their potentials as targets for strategic marketing.
		Each cluster is described in terms of its scores on the underlying variables, sorted according to their importance in characterizing that cluster.
	sawtooth.info /cca.shtml (2914 words)

	More on Conjoint Analysis and Choice Modelling
		"Marketing Engineering" by Gary L. Lilien and Arvind Rangaswamy, published by Addison-Wesley is an excellent book for learning about a wide range of marketing models including conjoint analysis.
		"Perfect Union" by Steven H. Cohen, discusses choice-based conjoint analysis;
		With choice modelling, the multinomial logit model is usually used, estimated by maximum likelihood (see "Discrete Choice Analysis" by Ben-Akiva and Lerman for full details of the formulas used).
	www.futuretoolkit.com /ccmore.htm (779 words)

	Technical Papers: Perceptual Mapping
		Examines the similarities and differences between an individual-level perceptual map and conjoint analysis.
		The paper discusses the advantages of using discriminant analysis in creating perceptual maps, criteria for selecting brands and products for respondents to evaluate, and principles for optimizing a perceptual space.
		This study compares the abilities of Discriminant Analysis and Correspondence Analysis to recover the true structure of data, using an easy-to-understand data set featuring 20 U.S. cities as products, and 16 compass directions as attributes.
	www.populus.com /techpapers/map.php (779 words)

	Strategic management Details, Meaning Strategic management Article and Explanation Guide
		Multidimensional scaling, discriminant analysis, factor analysis, and conjoint analysis are mathematical techniques used to determine the most relevent characteristics (called dimensions or factors) upon which positions should be based.
		Marketing strategist, Derek Abell (1993), has suggested that understanding this dual nature of strategic management is the least understood part of the process.
		The most appropriate market dominance strategies were assessed given the competitive and regulatory environment.
	www.e-paranoids.com /s/st/strategic_management.html (779 words)

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Topic: Conjoint analysis (in marketing)

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