Download or read book Getting started with conjoint analysis strategies for product design and pricing research written by Bryan K. Orme and published by . This book was released on 2014 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a practical, accessible introduction to conjoint analysis appropriate for business managers involved in marketing and strategic planning, research analysts, and university students.
Download or read book Getting Started with Conjoint Analysis written by Bryan K. Orme and published by Research Publishers LLC. This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conjoint analysis goes beyond simple surveys, providing a more realistic approach to understanding consumer attitudes, opinions, and behavior. Introduced as a fundamental measurement method more than forty years ago, conjoint analysis presents combinations of features and attributes in product profiles and asks people to rank or rate those profiles or to make choices among product profiles.
Download or read book Applied Conjoint Analysis written by Vithala R. Rao and published by Springer Science & Business Media. This book was released on 2014-02-20 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conjoint analysis is probably the most significant development in marketing research in the past few decades. It can be described as a set of techniques ideally suited to studying customers’ decision-making processes and determining tradeoffs. Though this book is oriented towards methods and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an introduction to the basic ideas of conjoint analysis the book describes the steps involved in designing a ratings-based conjoint study, it covers various methods for estimating partworth functions from preference ratings data, and dedicates a chapter on methods of design and analysis of conjoint-based choice experiments, where choice is measured directly. Chapter 5 describes several methods for handling a large number of attributes. Chapters 6 through 8 discuss the use of conjoint analysis for specific applications like product and service design or product line decisions, product positioning and market segmentation decisions, and pricing decisions. Chapter 9 collates miscellaneous applications of marketing mix including marketing resource allocation or store location decisions. Finally, Chapter 10 reviews more recent developments in experimental design and data analysis and presents an assessment of future developments.
Download or read book Conjoint Measurement written by Anders Gustafsson and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: by Paul E. Green I am honored and pleased to respond to authors request to write a Fore word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals -academics, market ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy sis, and general multivariate techniques) had already shown their value in practical business research and application. Second, conjoint analysis pro vided a new and powerful array of methods for tackling the important problem of representing and predicting buyer preference judgments and choice behavior-clearly a major problem area in marketing.
Download or read book Choice Based Conjoint Analysis written by Damaraju Raghavarao and published by CRC Press. This book was released on 2010-08-03 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conjoint analysis (CA) and discrete choice experimentation (DCE) are tools used in marketing, economics, transportation, health, tourism, and other areas to develop and modify products, services, policies, and programs, specifically ones that can be described in terms of attributes. A specific combination of attributes is called a concept profile.
Download or read book Analyzing Decision Making written by Jordan J. Louviere and published by SAGE. This book was released on 1988-03 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume introduces the theory, method, and applications of one type of conjoint analysis technique. These techniques are used to study individual judgement and decision processes and forecast the chosen behavior of individuals or the populations they represent.
Download or read book Advances in Experimental Political Science written by James N. Druckman and published by Cambridge University Press. This book was released on 2021-04 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.
Download or read book Marketing Research and Modeling Progress and Prospects written by Yoram Wind and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.
Download or read book Handbook of Marketing Decision Models written by Berend Wierenga and published by Springer Science & Business Media. This book was released on 2008-09-11 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. The HANDBOOK OF MARKETING DECISION MODELS presents the state of the art in marketing decision models, dealing with new modeling areas such as customer relationship management, customer value and online marketing, but also describes recent developments in other areas. In the category of marketing mix models, the latest models for advertising, sales promotions, sales management, and competition are dealt with. New developments are presented in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets. Not only are the most recent models discussed, but the book also pays attention to the implementation of marketing models in companies and to applications in specific industries.
Download or read book Introduction to Factor Analysis written by Jae-On Kim and published by SAGE. This book was released on 1978-11 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.
Download or read book Conjoint Measurement written by A. Gustafsson and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers all recent developments in Conjoint Analysis. Leading scientists present theory and applications of this technique. In short, the following models, techniques, and applications are discussed: normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modelling, new choice simulators, normative models for representing competitive actions and reactions (based on game theory), applications in diverse areas, computation of monetary equivalents of part worth, share/return optimisation (including Pareto frontier analysis), coupling of conjoint analysis with the perceptual and preference mapping of choice simulator results.
Download or read book Best Worst Scaling written by Jordan J. Louviere and published by Cambridge University Press. This book was released on 2015-09-23 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: First systematic treatment of best-worst scaling, explaining how to implement, analyze, and apply the theory across a range of disciplines.
Download or read book The Handbook of Marketing Research written by Rajiv Grover and published by SAGE. This book was released on 2006-06-23 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Marketing Research comprehensively explores the approaches for delivering market insights for fact-based decision making in a market-oriented firm.
Download or read book Online Survey Design and Data Analytics Emerging Research and Opportunities written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2019-05-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online survey research suites offer a vast array of capabilities, supporting the presentation of virtually every type of digital data text, imagery, audio, video, and multimedia forms. With some researcher sophistication, these online survey research suites can enable a wide range of quantitative, qualitative, and mixed methods research. Online Survey Design and Data Analytics: Emerging Research and Opportunities is a critical scholarly resource that explores the utilization of online platforms for setting up surveys to achieve a specific result, eliciting data in in-depth ways and applying creative analytics methods to online survey data. Highlighting topics such as coding, education-based analysis, and online Delphi studies, this publication is ideal for researchers, professionals, academicians, data analysts, IT consultants, and students.
Download or read book Principles of Forecasting written by J.S. Armstrong and published by Springer Science & Business Media. This book was released on 2001 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook summarises knowledge from experts and empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. Includes a comprehensive forecasting dictionary.
Download or read book Marketing Data Science written by Thomas W. Miller and published by FT Press. This book was released on 2015-05-02 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.
Download or read book Application of conjoint analysis in agricultural economics research written by Veerabhadrappa Bellundagi and published by Amazon Publishers, USA. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Conjoint Analysis is a statistical technique where respondents ranked preferences for different offers are decomposed to determine the person’s inferred utility function for each attribute and the relative importance of each attribute. It is a versatile marketing research technique that can provide valuable information for new product development and forecasting, market segmentation and pricing decisions, advertising and distribution, competitive analysis and repositioning. The aims of conjoint analysis were to identify attribute combinations which confer the highest utility to the consumers and to establish the relative importance of attributes in terms of their contribution to total utility. There are 5 basic steps to be taken by a Researcher interested in applying conjoint analysis namely Problem formulation, Determining the product profile, Sampling plan, Data collection and Analysis and interpretation of the results. Conjoint measurement is based on the assumptions that a product can be described according to levels of a set of attributes and the consumer’s overall judgment in respect to that product is based on these attributes level. This analysis is based on three models like Part -Worth Model, Vector Model and Ideal Point Model. An attempt was made to analyze the consumer preference of ragi using conjoint analysis in Bengaluru and Vijayapura districts of Karnataka. The results reveal that, among all the attributes of ragi studied in Bengaluru urban, fineness was found to be most important and first consideration of consumers accounting for 23.80 per cent of relative importance with superfine ragi having the utility of 1.45. In case of Bengaluru rural, price was found to be most important and first deliberation, accounting for 30.60 per cent of relative importance.Among all the attributes studied in ragi in Vijayapura urban, colour was found to be most significant and first consideration, accounting for 30.33 per cent. In case of Vijayapura rural, fineness was found to be the first contemplation and most important, accounting for 33.91 per cent of relative importance. Dhamotharan et. al. (2015), conducted a study using conjoint analysis to analyze consumers’ preferences for geographic indications (GI) bananas. The results show that consumers prefer GI bananas for their medicinal properties, natural production method, and lower price premium.Mangala (2010), conducted a study on Impact of food retail chains on producers, consumers and retailers. The results showed that, among all the attributes studied, quality of the produce found to have the highest relative importance of 33.8 per cent, with a preference for premium quality (utility value 2.77). Importance of 26.89 per cent was given to location of the outlet, with preference for nearness of the shop had utility value 2.16.Consumers are becoming more aware of the quality attributes of different commodities they are consuming, and consequently are choosing products that closely match their tastes and preferences. Demand for food products has increased among the consumers for a variety of reasons: unique quality, locality, supporting local producers. Researchers and managers in agricultural and food industries often face problems relating to new product development, forecasting, market segmentation and pricing decisions, advertising and distribution, competitive analysis and repositioning. So a conjoint measurement study can assist them in solving these problems.
