Measurement of the relative importance of product attribute information: A review of the information display approach

1979 ◽  
Vol 3 (3-4) ◽  
pp. 232-245 ◽  
Author(s):  
John A. Quelch
Keyword(s):  
Relative Importance ◽  
Product Attribute ◽  
Information Display ◽  
Attribute Information

scholarly journals Using Self-Generated Priors in Division Leads to Biased Consumer Judgments

2021 ◽  
Author(s):  
Ignazio Ziano ◽  
Daniel Villanova
Keyword(s):  
Income Inequality ◽  
Willingness To Pay ◽  
Numerical Cognition ◽  
Product Choice ◽  
Product Attribute ◽  
Total N ◽  
Anchoring And Adjustment ◽  
Attribute Information ◽  
A Company ◽  
Practical Implications

Consumers often have to make divisions to evaluate attributes. In six experiments (total N = 3296, four preregistered), this research shows that consumers may rely on their prior for the attribute to generate an estimate rather than divide following a normative procedure. That is, consumers will recruit typical values of the attribute from memory and use them when dividing. This process influences consumers’ judgments. When the actual attribute value is above the attribute prior, it tends to be underestimated, and when it is below the attribute prior, it tends to be overestimated. When the attribute is a product attribute (such the miles-per-gallon a car can drive), this decreases its attractiveness. When the attribute is a company-wide attribute (such as median wage), this intuitive approach results in corresponding changes in company evaluations, willingness-to-pay, and product choice. The authors discuss theoretical implications for consumers’ numerical cognition, anchoring and adjustment, and perceptions of income inequality. Practical implications for the communication and disclosure of product attribute information and income inequality for managers and policymakers are also discussed.

scholarly journals Consumer Preferences and Brand Equity Measurement of Spanish National Daily Newspapers: A Conjoint Analysis Approach

2001 ◽  
Vol 4 (1) ◽  
pp. 48-54
Author(s):  
Jesús Varela Mallou ◽  
Antonio Rial Boubeta ◽  
Teresa Braña Tobío
Keyword(s):  
Conjoint Analysis ◽  
Brand Equity ◽  
Consumer Preferences ◽  
Attribute Level ◽  
Relative Importance ◽  
Daily Newspaper ◽  
Product Attribute ◽  
Daily Newspapers ◽  
Brand Values ◽  
Age And Sex

Brand is a product attribute that, for many types of goods or services, makes a major contribution to consumer preferences. Conjoint analysis is a useful technique for the assessment of brand values for a given consumer or group of consumers. In this paper, an application of conjoint analysis to the estimation of brand values in the Spanish daily newspaper market is reported. Four newspaper attributes were considered: brand (i.e., newspaper name), price (0.60, 1.05, or 1.50 euros), Sunday supplement (yes/no), and daily pullout (yes/no). A total of 510 regular readers of the national press, stratified by age and sex, were asked to rank 16 profiles representing an orthogonal fraction of the possible attribute-level combinations. Brand was by far the most important attribute, whereas price had negligible effect. More generally, the results confirm the utility of conjoint analysis for assessing brand equity in the newspaper market and for estimating the relative importance of the various attributes to different subgroups of consumers.

scholarly journals DE FIO A PAVIO: UM ESTUDO BIBLIOMÉTRICO DAS PUBLICAÇÕES SOBRE NEGLIGÊNCIA DA OMISSÃO COM BASE NOS PERIÓDICOS ENTRE 1988 E 2016.

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Mauricio Alves Rodrigues Pugas ◽  
Evandro Luiz Lopes ◽  
Eliane Herrero Lopes ◽  
Heitor Lopes Ferreira
Keyword(s):  
Word Of Mouth ◽  
Product Attribute ◽  
Attribute Information

O objetivo principal deste artigo foi realizar um estudo bibliométrico das publicações sobre negligência da omissão veiculadas em periódicos indexados (nacionais e internacionais) entre 1988 e 2016. Assim, tem-se como foco de análise o tema negligência da omissão ligado ao comportamento do consumidor. Utilizando-se o recurso das leis bibliométricas, do software SciMAT e IRAMUTEQ, identificou-se 55 artigos, dos quais, apenas 15 correspondem por 80% das citações identificadas nas plataformas pesquisadas, sendo o artigo intitulado “Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective”de Herr, Kardes e Kim, (1991), com 2459 citações em dezesseis anos e, ainda que, num universo com 68 autores identificados, apenas nove autores são altamente produtivos (96,88% das publicações), dentre eles, Herr, Kardes e Kim.

scholarly journals Optimal Decision-Making Model of Agricultural Product Information Based on Three-Way Decision Theory

Agriculture ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 41
Author(s):  
Yifan Gu ◽  
Zishang Yang ◽  
Tailong Zhu ◽  
Junshu Wang ◽  
Yuxing Han
Keyword(s):  
Decision Making ◽  
Decision Theory ◽  
Product Information ◽  
Heuristic Method ◽  
Agricultural Products ◽  
Semantic Interpretation ◽  
Optimal Decision ◽  
Agricultural Product ◽  
Product Attribute ◽  
Attribute Information

As an effective heuristic method, three-way decision theory gives a new semantic interpretation to the three fields of the rough set, which has a huge application space. To classify the information of agricultural products more accurately under certain thresholds, this paper first makes a comprehensive evaluation of the decision, particularly the influence of the attributes of the event itself on the results and their interactions. By using fuzzy sets corresponding to membership and non-membership degree, this paper analyzes and puts forward two cases of proportional correlation coefficients in the transformation of a delayed decision domain, and selects the corresponding coefficients to compare the results directly. Finally, consumers can conveniently grasp product attribute information to make decisions. On this basis, this paper analyzed the standard data to verify the accuracy of the model. After that, the proposed algorithm, based on three decision-making agricultural product information classification processing, is applied to the relevant data of agricultural products. The experimental results showed that the algorithm can obtain more accurate results through a more straightforward calculation process. It can be concluded that the algorithm proposed in this paper can enable people to make more convenient and accurate decisions based on product attribute information.

Investigation of bias of hedonic scores when co-eliciting product attribute information using CATA questions

2013 ◽  
Vol 30 (2) ◽  
pp. 242-249 ◽  
Author(s):  
Sara R. Jaeger ◽  
Davide Giacalone ◽  
Christina M. Roigard ◽  
Benedicte Pineau ◽  
Leticia Vidal ◽  
...  
Keyword(s):  
Product Attribute ◽  
Attribute Information
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