The ideal strawberry jam attributes based on consumer preferences: A conjoint analysis approach

2010 ◽  
Author(s):  
Maria Azucena B. Lubrica ◽  
Marie Klondy T. Dag
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Analysis Approach ◽  
The Ideal

THE IDEAL VEGETABLE ATTRIBUTES BASED ON CONSUMER PREFERENCES: A CONJOINT ANALYSIS APPROACH

2009 ◽  
pp. 185-192 ◽  
Author(s):  
M.K.T. Dagupen ◽  
D.D. Tagarino ◽  
B.B. Gumihid ◽  
X. Gellynck ◽  
J. Viaene
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Analysis Approach ◽  
The Ideal

Consumer Preferences for Cigarettes in Sudan-A Conjoint Analysis Approach

2016 ◽  
Vol 8 (3) ◽  
pp. 95
Author(s):  
Elfadil Timan Idriss
Keyword(s):  
Social Status ◽  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Marketing Strategies ◽  
Analysis Approach ◽  
The Social ◽  
Structured Questionnaire ◽  
The Way

<p>Understanding Consumer’s preferences on attributes of cigarettes market is the first step to successful marketing strategies. The goal of this article is to explore the preferences of the smokers and to determine the way consumers perceive the importance of cigarettes attributes using conjoint analysis. Research was conducted on a sample of 416 users of cigarettes in Sudan and data were collected using a structured questionnaire. By implementing conjoint analysis, the current study investigates how consumers do tradeoff between preferences of number of attributes and the importance they attached to each of these cigarettes' attributes. The four attributes that are dealt within this study are the social status, availability, quality and price of cigarettes. Though the preferences of the various consumers vary, the results show that while price, quality and availability are important attributes, the social status is the most preferred attribute in the cigarettes industry in Sudan. The findings of the current study provide essential implications for marketers in developing future marketing strategies and for investment in this sector.<strong></strong></p>

scholarly journals Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1382
Author(s):  
Ardvin Kester S. Ong ◽  
Yogi Tri Prasetyo ◽  
Ma. Althea Deniella C. Libiran ◽  
Yuanne Mae A. Lontoc ◽  
Joyce Anne V. Lunaria ◽  
...  
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Orthogonal Design ◽  
Consumer Preference ◽  
Analysis Approach ◽  
Cream Cheese ◽  
Preference Analysis ◽  
Price Range ◽  
Consumer Preference Analysis

Milk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar level, price range, brands, type of milk tea, cream cheese inclusion, and the amount of ice. Conjoint analysis with the orthogonal design was utilized to evaluate the preference of milk tea among consumers. The results showed that pearl size was the attribute most considered by consumers (29.137%), followed by sugar level (17.373%), the amount of ice (17.190%), the type of drink (13.421%), price (11.207%), and the least considered were cream cheese inclusion (9.525%) and the brands (2.147%). The findings of this study will be beneficial to milk tea firms about consumer preferences regarding the various attributes of milk tea. Finally, the result of this study could be applicable to different beverage-focused studies worldwide.

scholarly journals An Analysis of Consumer Preferences for Value-Added Seafood Products Derived from Crawfish

2002 ◽  
Vol 31 (2) ◽  
pp. 157-170 ◽  
Author(s):  
R. Wes Harrison ◽  
Timothy Stringer ◽  
Witoon Prinyawiwatkul
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Value Added ◽  
Utility Functions ◽  
Ordered Probit ◽  
Probit Models ◽  
Seafood Products ◽  
Ordered Probit Models ◽  
Old Men

Conjoint analysis is used to evaluate consumer preferences for three consumer-ready products derived from crawfish. Utility functions are estimated using two-limit tobit and ordered probit models. The results show women prefer a baked nugget or popper type product, whereas 35- to 44-year-old men prefer a microwavable nugget or patty type product. The results also show little difference between part-worth estimates or predicted rankings for the tobit and ordered probit models, implying the results are not sensitive to assumptions regarding the ordinal and cardinal nature of respondent preferences.

Exploring the Role of Interaction Effects in Visual Conjoint Analysis

2015 ◽  
Vol 137 (9) ◽  
Author(s):  
Brian Sylcott ◽  
Jeremy J. Michalek ◽  
Jonathan Cagan
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Consumer Preference ◽  
Interaction Effects ◽  
Fractional Factorial ◽  
Main Effects ◽  
Full Factorial ◽  
Biased Estimates ◽  
Data Requirements

In conjoint analysis, interaction effects characterize how preference for the level of one product attribute is dependent on the level of another attribute. When interaction effects are negligible, a main effects fractional factorial experimental design can be used to reduce data requirements and survey cost. This is particularly important when the presence of many parameters or levels makes full factorial designs intractable. However, if interaction effects are relevant, main effects design can create biased estimates and lead to erroneous conclusions. This work investigates consumer preference interactions in the nontraditional context of visual choice-based conjoint analysis, where the conjoint attributes are parameters that define a product's shape. Although many conjoint studies assume interaction effects to be negligible, they may play a larger role for shape parameters. The role of interaction effects is explored in two visual conjoint case studies. The results suggest that interactions can be either negligible or dominant in visual conjoint, depending on consumer preferences. Generally, we suggest using randomized designs to avoid any bias resulting from the presence of interaction effects.

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