The Importance of Apple attributes: A Comparison of Self-explicated and Conjoint Analysis Results

the goal of this article was to determine the importance of apple attributes using two research techniques – self-explicated procedure and conjoint analysis. Research was conducted on a sample of 426 consumers of apples in Zagreb, Croatia. The results of self-explicated and conjoint analysis procedures revealed differences in ranking of apple attributes regarding their importance. It is demonstrated that conjoint analysis gives more detailed results and that it is not influenced by respondents’ tendency to give socially acceptable answers. The results of conjoint analysis also give more information for the producers of apples who can use them to create a product that matches consumers’ wishes.apple, conjoint analysis, self-explicated method, Demand and Price Analysis,

ASSESSING THE IMPORTANCE OF APPLE ATTRIBUTES: AN AGRICULTURAL APPLICATION OF CONJOINT ANALYSIS

The use of conjoint analysis in assessing consumers' preferences for attributes is demonstrated with the apple as an example. Conjoint analysis may be used to estimate the importance of attributes and attribute levels through decomposition of consumers' ranking of alternative attribute combinations. It is shown that conjoint analysis provides results that may not be obtained from a survey where respondents are asked to directly state their assessment of the importance of attributes.Food Consumption/Nutrition/Food Safety,

The Valuation of the IJmeer Nature Reserve using Conjoint Analysis

This paper describes an application of conjoint analysis. The subject of the valuation study is the IJmeer nature reserve, which will be partly destroyed when the new residential area IJburg is built. This paper addresses the following question: ‘What is the extent of the loss of green and recreational values?’. In this study, the conjoint analysis consists of three different analyses based on a three-piece valuation question. The respondents are asked to subsequently rank, mark and indicate the acceptability of a set of six cards.environmental economics, conjoint analysis

Incentive-aligned Conjoint Analysis

Because most conjoint studies are conducted in hypothetical situations with no consumption consequences for the participants, the extent to which the studies are able to uncover "true" consumer preference structures is questionable. Experimental economics literature, with its emphasis on incentive alignment and hypothetical bias, suggests that more realistic incentivealigned studies will result in stronger out-of-sample predictive performance of actual purchase behaviors and provide better estimates of consumer preference structures than hypothetical studies. To test this hypothesis, the authors design an experiment with conventional (hypothetical) conditions and their parallel incentive-aligned counterparts. Using Chinese dinner specials as the context, the authors conducted a field experiment in a Chinese restaurant during dinnertime. The results provide strong evidence in favor of incentive-aligned choice conjoint analysis, in that incentive-aligned choice conjoint outperforms hypothetical choice conjoint in out-of-sample predictions (59% versus 26% for incentive-aligned choice conjoint and hypothetical choice conjoint, respectively for the top two choices). As expected, subjects in the incentive-aligned choice condition exhibit preference structures that are systematically different from the preference structures of subjects in the hypothetical condition. Most notably, the subjects in the incentive-aligned choice condition are more price sensitive and exhibit different heterogeneity patterns. To determine the robustness of these results, the authors conducted a second study that used snacks as the context and only considered the choice treatments. This study confirmed the results by again providing strong evidence in favor of incentive-aligned choice analysis in out-of-sample predictions (36% versus 16% for incentive-aligned choice conjoint and hypothetical choice conjoint, respectively for the top two choices). The results provide a strong motivation for conjoint practitioners to consider conducting their studies in realistic settings using incentive structures that require participants to æ–—ive with?their decisions.

ANALYZING CUSTOMER VALUE USING CONJOINT ANALYSIS: THE EXAMPLE OF A PACKAGING COMPANY

The fulfillment of customers’ wishes in a profitable way requires that companies understand which aspects of their product and service are most valued by the customer. Conjoint analysis is considered to be one of the best methods for achieving this purpose. Conjoint analysis consists of generating and conducting specific experiments among customers with the purpose of modeling their purchasing decision. This article will give an overview of the method and apply it to an Estonian packaging company. As a result of the empirical study the author is able to estimate the value creation models of 34 respondents (customers) both on a group and individual basis.customer value, conjoint analysis, market research methods

Ranking Models in Conjoint Analysis

In this paper we consider the estimation of probabilisticranking models in the context of conjoint experiments. By usingapproximate rather than exact ranking probabilities, we do notneed to compute high-dimensional integrals. We extend theapproximation technique proposed by \\citet{Henery1981} in theThurstone-Mosteller-Daniels model for any Thurstone orderstatistics model and we show that our approach allows for aunified approach. Moreover, our approach also allows for theanalysis of any partial ranking. Partial rankings are essentialin practical conjoint analysis to collect data efficiently torelieve respondents' task burden.conjoint experiments;partial rankings;thurstone order statistics model

CONJOINT ANALYSIS OF DEER HUNTING

This paper develops a logit-based conjoint analysis of willingness to pay for individual attributes of deer-hunting trips. Since deer-hunting success is uncertain, willingness to pay for enhanced likelihood of bagging a deer, rather than for certain success, is evaluated. Implicit costs of recreational travel time are also evaluated from hypothetical trade-offs between travel time and trip expenditures. The valuation of travel time derived here appears to reflect more the opportunity cost of foregone hunting than the opportunity cost of foregone work. This implies that travel-cost analyses of recreational demand, which impute costs of recreational travel solely from wage data, can yield biased valuations of recreational amenities.Resource /Energy Economics and Policy,

Correspondence analysis and categorical conjoint measurement

We show the equivalence between the use of correspondence analysis (CA) of concadenated tables and the application of a particular version of conjoint analysis called categorical conjoint measurement (CCM). The connection is established using canonical correlation (CC). The second part introduces the interaction e¤ects in all three variants of the analysis and shows how to pass between the results of each analysis.Correspondence analysis, conjoint analysis, canonical correlation, categorical data

Rider Preferences and Values of Equestrian Trail Characteristics in Kentucky

A conjoint analysis of equestrian trail characteristics (trail length, scenic views, open land, bathroom/shower facilities, restricted use, distance, and entrance fee) is conducted for the state of Kentucky. The conditional logit results show location is an important determiner of willingness to pay. In particular, scenic views and restricted use are highly valued (WTP above $20). However, increased distance from home to the trail results in a negative willingness to pay.Equestrian trail characteristics, Conditional logit, Conjoint analysis, Environmental Economics and Policy,

CONJOINT ANALYSIS OF GROUNDWATER PROTECTION PROGRAMS

Three conjoint models-a traditional ratings model, a ratings difference specification, and a binary response model-were used to value groundwater protection program alternatives. The last, which is virtually identical to a dichotomous choice contingent valuation specification, produced the smallest value estimates. This suggests that the conjoint model is very sensitive to model specifications and that traditional conjoint models may overestimate economic value because many respondents are not in the market for the commodity being valued.Resource /Energy Economics and Policy,