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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.
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.
This major reference work the first of its kind provides a comprehensive and authoritative introduction to the large and growing literature on contingent valuation. It includes entries on over 7,500 contingent valuation papers and studies from over 130 countries covering both the published and grey literatures. This book provides an interpretive historical account of the development of contingent valuation, the most commonly used approach to placing a value on goods not normally sold in the marketplace. The major fields catalogued here include culture, the environment, and health application. This bibliography is an ideal starting point for researchers wanting to find other studies that have valued goods or used techniques similar to those they are interested in. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. In addition to the print edition we offer access, for purchasers of the book, to a website providing the contents of as a searchable Word document and in a variety of standard bibliographic database forms. Contingent Valuation is an indispensable reference source for researchers, scholars and policymakers concerned with survey approaches to the problem of environmental valuation.
Aquaculture, the farming of aquatic animals and plants, and other seafood businesses continue to grow rapidly around the world. However, many of these businesses fail due to the lack of sufficient attention to marketing. The Seafood and Aquaculture Marketing Handbook provides the reader with a comprehensive, yet user-friendly presentation of key concepts and tools necessary for aquaculture and seafood businesses to evaluate and adapt to changing market conditions. Markets for aquaculture and seafood products are diverse, dynamic, and complex. The Seafood and Aquaculture Marketing Handbook presents fundamental principles of marketing, specific discussion of aquaculture and seafood market channels and supply chains from around the world, and builds towards a step-by-step approach to strategic market planning for successful aquaculture and seafood businesses. This book is an essential reference for all aquaculture and seafood businesses as well as students of aquaculture. The volume contains a series of synopses of specific markets, an extensive annotated bibliography, and webliography for additional sources of information. Written by authors with vast experience in international marketing of aquaculture and seafood products, this volume is a valuable source of guidance for those seeking to identify profitable markets for their aquaculture and seafood products.
Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.
Similar to the United States (US) Natural Resource Damage (NRD) program, defined under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA or "Superfund") and the Oil Pollution Act (OPA), the European Union's (EU) Environmental Liability Directive (ELD)imposes liability for, and requires remediation of, significant damage to natural habitats and species protected at Community and national levels, surface and ground waters covered by the Water Framework Directive, and land.The ELD was first published in 2004 and has since been transposed into the national laws of all EU Member States. However there is little guidance available to authorities and industry in interpreting and applying the ELD and meeting its prevention and restoration objectives. This volume is the first to describe the EU's ELD and to examine the emerging issues and practices in its application. While there are differences between the US and EU regimes, some of the underlying concepts, approaches and definitions embedded in NRD are also mirrored in the text of the ELD. The book includes a comparison of similarities and differences as well as synergies in practice; hence, this book will be of interest to both US and European readers. The ELD imposes liability for significant damage to natural habitats and species protected at Community and national levels, surface and ground waters covered by the Water Framework Directive, and land. Prior to the ELD's adoption many Member States had programs in place for the restoration of soil and groundwater contamination, but none had a regime for addressing harm to unowned natural resources. This volume presents a comprehensive legal commentary on the legal issues arising under the ELD, as well as an overview of administrative, technical, and legal issues and practices in applying the ELD regimes to cases of actual or threatened environmental damage. In doing so, it discusses both substantive issues and important procedural and process-related issues. Several case studies are presented to illustrate the issues and practical solutions. In addition, emerging best practices relating to practical ELD application are identified and presented. Identifying and discussing a wide range of emerging administrative, technical, and economic practice issues arising under member state legislation transposing and implementing the ELD, this book will be a valuable resource for all those whose work is affected by the ELD.
This is a practical book with clear descriptions of the most commonly used nonmarket methods. The first chapters of the book provide the context and theoretical foundation of nonmarket valuation along with a discussion of data collection procedures. The middle chapters describe the major stated- and revealed-preference valuation methods. For each method, the steps involved in implementation are laid out and carefully explained with supporting references from the published literature. The final chapters of the book examine the relevance of experimentation to economic valuation, the transfer of existing nonmarket values to new settings, and assessments of the reliability and validity of nonmarket values. The book is relevant to individuals in many professions at all career levels. Professionals in government agencies, attorneys involved with natural resource damage assessments, graduate students, and others will appreciate the thorough descriptions of how to design, implement, and analyze a nonmarket valuation study.
The aim of the Ebook series of Research Topics in Agricultural & Applied Economics (RTAAE) is to publish high quality economic researches applied to both the agricultural and non-agricultural sectors of the economy. The subject areas of this Ebook series include, among others, supply and demand analysis, technical change and productivity, industrial organization, labor economics, growth and development, environmental economics, marketing, business economics and finance. By covering a broad variety of economic research topics, this Ebook series should prove to be of considerable interest to a w.
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.