scholarly journals Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis

2019 ◽  
Vol 10 (1-2) ◽  
pp. 1-144 ◽  
Author(s):  
Moshe Ben-Akiva ◽  
Daniel McFadden ◽  
Kenneth Train
Keyword(s):  
Consumer Behavior ◽  
Conjoint Analysis ◽  
Stated Preference ◽  
Preference Elicitation

scholarly journals Let’s Talk about TEX—Understanding Consumer Preferences for Smart Interactive Textile Products Using a Conjoint Analysis Approach

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3152 ◽  
Author(s):  
Julia Offermann-van Heek ◽  
Philipp Brauner ◽  
Martina Ziefle
Keyword(s):  
Consumer Behavior ◽  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Technological Development ◽  
Product Evaluation ◽  
Decision Criterion ◽  
Online Questionnaire ◽  
Close Link ◽  
Input Modality ◽  
Textile Products

Interactive textiles are reaching maturity. First technology augmented textiles in form of clothes and furnitures are becoming commercially available. In contrast to the close link between technological development and innovations, future users’ acceptance and usage of such interactive textiles has not been integrated sufficiently, yet. The current study investigates future users’ consumer behavior and acceptance of interactive textiles using a scenario-based conjoint analysis study, which was presented in an online questionnaire ( n = 324 ). Two prototypical interactive textiles were focused on: a smart jacket and a smart armchair. To assess the textile products, the participants had to choose the preferred product alternative consisting each of the acceptance-relevant factors “connectivity”, “input modality”, “feature range”, “usability”, and “ease of cleaning”and their respective levels. The results revealed that the “ease of cleaning” is the most important decision criterion for both textile devices (even more important for the smart jacket), followed by “feature range”, “connectivity”, and “usability”. In contrast, the “input modality” is perceived as least important. The study also identified user profiles based on the projected consumer behavior (“adopters”, “rejecters”, and “undecided”) for both products. Besides the differences in product evaluation and projected consumer behavior, the user groups are significantly influenced by the individual affinity to textiles (both products) and gender (smart jacket). The findings are used to derive design and communication guidelines referring to interactive textiles in order to incorporate users’ needs, wishes, and requirements into future products.

scholarly journals PREFERENSI KONSUMEN SAGU DI KOTA KENDARI

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Helviani Helviani ◽  
Sitti Aida Adha Taridala ◽  
Azhar Bafadal ◽  
Budiyanto Budiyanto
Keyword(s):  
Consumer Behavior ◽  
Customer Satisfaction ◽  
Conjoint Analysis ◽  
Consumer Satisfaction ◽  
Consumer Preferences ◽  
Consumer Preference ◽  
Raw Material ◽  
Market Demand ◽  
Satisfaction Index ◽  
Main Thing

Sago is a potential source of food with high calories and carbohydrates (rice equivalent). Sago consumer preferences can provide important information in making marketing strategy sago, and also is one of the indicators of market demand for the products of sago. The purpose of this study were to understand the srage of the purchase decision process undertaken by consumers of sago; analyze the level of customer satisfaction with sago attributes associated from sago; and analyze the consumer preference for various atrributes inherent in sago. The study was conducted in Kendari, Southeast Sulawesi Province. Respondents were all members of a population of 21 respondents consisting of 15 restaurant owners who provide meals made from sago and 6 owners agro-industry made from raw sago. The study used Engel Model Analysis, Costumer Satisfaction Index (CSI) Analysis, and Conjoint Analysis. The results of the analysis gives an overview of some consumer behavior based on the decision-making process shows that the benefits sought in the purchase buy sago sago is as a raw material to be processed into a menu of traditional food and traditional cakes Kendari. Color sago is the main thing, which will be seen and considered by consumers to make purchases between and will buy sago in traditional markets as close to the place of business. The level of consumer satisfaction in this study were satisfied with the preference category that consumers like sago with normal color (pure white), normal scent (odorless), low prices and package sizes are 20 kg. The resulting combination of sago four attributes (color, flavor, price and package sizes) is acceptable to describe consumers' desire sago in Kendari. Keywords: consumer behavior; sago; Engel Model; Customer Satisfaction Index (CSI); conjoint analysis

scholarly journals Are non-monetary payment modes more uncertain for stated preference elicitation in developing countries?

2019 ◽  
Vol 30 ◽  
pp. 73-87 ◽  
Author(s):  
Godwin K. Vondolia ◽  
Ståle Navrud
Keyword(s):  
Developing Countries ◽  
Stated Preference ◽  
Preference Elicitation

scholarly journals Understanding Midwives’ Preferences for Providing Information About Newborn Bloodspot Screening

2018 ◽  
Vol 3 (1) ◽  
pp. 238146831774617 ◽  
Author(s):  
Stuart James Wright ◽  
Fiona Ulph ◽  
Tina Lavender ◽  
Nimarta Dharni ◽  
Katherine Payne
Keyword(s):  
Conjoint Analysis ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Screening Program ◽  
Stated Preference ◽  
Information Provision ◽  
Stated Preference Survey ◽  
Newborn Bloodspot Screening ◽  
Types Of Information

Background: Understanding preferences for information provision in the context of health care service provision is challenging because of the number of potential attributes that may influence preferences. This study aimed to identify midwives’ preferences for the process and outcomes of information provision in an expanded national newborn bloodspot screening program. Design: A sample of practicing midwives completed a hybrid-stated preference survey including a conjoint analysis (CA) and discrete choice experiment to quantify preferences for the types of, and way in which, information should be provided in a newborn bloodspot screening program. Six conjoint analysis questions captured the impact of different types of information on parents’ ability to make a decision, and 10 discrete choice experiment questions identified preferences for four process attributes (including parents’ ability to make a decision). Results: Midwives employed by the UK National Health Service (n = 134) completed the survey. All types of information content were perceived to improve parents’ ability to make a decision except for the possibility of false-positive results. Late pregnancy was seen to be the best time to provide information, followed by day 3 postbirth. Information before 20 weeks of pregnancy was viewed as reducing parents’ ability to make a decision. Midwives preferred information to be provided by an individual discussion and did not think parents should receive information on the Internet. Conclusion: A hybrid stated preference survey design identified that a wide variety of information should be provided to maximize parents’ ability to make a decision ideally provided late in pregnancy or on day 3 postbirth.

scholarly journals Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments

2014 ◽  
Vol 22 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Jens Hainmueller ◽  
Daniel J. Hopkins ◽  
Teppei Yamamoto
Keyword(s):  
Causal Inference ◽  
Conjoint Analysis ◽  
Stated Preference ◽  
Attitudes Toward Immigrants ◽  
Multiple Treatment ◽  
Stated Preference Experiments ◽  
Randomized Design ◽  
Survey Experiments ◽  
Voter Decision Making ◽  
Identification Analysis

Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are influential. Here, we show howconjoint analysis, an experimental design yet to be widely applied in political science, enables researchers to estimate the causal effects of multiple treatment components and assess several causal hypotheses simultaneously. In conjoint analysis, respondents score a set of alternatives, where each has randomly varied attributes. Here, we undertake a formal identification analysis to integrate conjoint analysis with the potential outcomes framework for causal inference. We propose a new causal estimand and show that it can be nonparametrically identified and easily estimated from conjoint data using a fully randomized design. The analysis enables us to propose diagnostic checks for the identification assumptions. We then demonstrate the value of these techniques through empirical applications to voter decision making and attitudes toward immigrants.

scholarly journals Changes in Traveler Stated Preference for Bus and Car Modes Due to Real-Time Schedule Information: A Conjoint Analysis

1997 ◽  
Vol 1 (2) ◽  
pp. 25-48 ◽  
Author(s):  
Thomas Reed ◽  
◽  
Jonathan Levine ◽  
Keyword(s):  
Real Time ◽  
Conjoint Analysis ◽  
Stated Preference ◽  
Time Schedule

scholarly journals Sugarcane spirit market share simulation: an application of conjoint analysis

2012 ◽  
Vol 32 (4) ◽  
pp. 645-652 ◽  
Author(s):  
João de Deus Souza Carneiro ◽  
Valéria Paula Rodrigues Minim ◽  
Carlos Henrique Osorio Silva ◽  
Adair José Regazzi ◽  
José Benicio Paes Chaves ◽  
...  
Keyword(s):  
Consumer Behavior ◽  
Production Process ◽  
Conjoint Analysis ◽  
Market Share ◽  
Purchase Intention ◽  
Utility Model ◽  
Intention To Purchase ◽  
Maximum Utility ◽  
Clear Glass ◽  
Oak Barrels

This study evaluated the influence of packaging and labeling attributes of sugarcane spirit on consumers' behavior by applying the results of conjoint analysis in sugarcane spirit market share simulation. Firstly, a conjoint analysis was performed aiming to estimate the part-worths of each consumer for some sugarcane spirit packaging and labeling attributes. These part-worths were used in the market share simulation using the maximum utility model. It was observed that some packaging and labeling attributes affected consumer's purchase intention and that most consumers showed a similar preference pattern regarding these attributes. These consumers showed preference for the Seleta brand, which was bottled in 700 mL clear glass bottles with a metal screw cap that bore a label illustration unrelated to sugarcane spirit production process and had the information "aged 36 months in oak barrels". This study also showed that conjoint analysis and the use of its results in the market share simulation proved important tools to better understand consumer behavior towards intention to purchase sugarcane spirit.

scholarly journals Measuring Consumer Preferences in Changing Food Environments: A Methods Review

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1160-1160
Author(s):  
Winnie Bell ◽  
Jennifer Coates ◽  
William Masters ◽  
Norbert Wilson
Keyword(s):  
Public Health ◽  
Conjoint Analysis ◽  
Food Choice ◽  
Consumer Preferences ◽  
Stated Preference ◽  
Qualitative Interviews ◽  
Food Preferences ◽  
Food Environments ◽  
Middle Income ◽  
Mesh Terms

Abstract Objectives Measuring consumer preferences for different food quality attributes in low- and middle-income countries (LMICs) is increasingly important for interventions and policies to better address poor nutrition and health outcomes in the context of rapidly changing food environments. Despite the importance of measuring preferences, limited research has been conducted in LMICs to develop a better understanding of what matters most to consumers. This study reviews existing methods for measuring preferences and proposes a way forward for the nutrition public health community to address this important gap. Methods Relevant papers were identified in PubMed using pre-selected Mesh terms and by searching reference lists of key review articles. Approaches identified span the fields of marketing, economics, psychology, and nutrition public health. The papers reviewed used different methods to measure preferences of various types of food attributes. Results In marketing and economics, the term conjoint analysis is used to describe a category of methods that measure the stated preference of respondents by asking them to rate, rank, or choose between competing alternatives. Within conjoint analysis, several different methods exist including discrete choice experiences, ranking conjoint analysis, and best-worst scaling and each can be used to elicit preferences about observable and unobservable attributes of foods (e.g., price, taste etc.). Within the field of psychology, several techniques have been used including the Food Choice Questionnaire and Food Choice Values. Other approaches include qualitative interviews, pile sorting, and Likert scale-based instruments. Each method has strengths and weaknesses but in general, those from marketing and economics have the benefit of resulting in a ranked choice, in contrast to Likert scales and pile sorting which can be difficult to interpret and cognitively burdensome. Conclusions Most methods have been primarily developed, validated, and used in high-income countries with much less application in LMICs. Further research is required to adapt and develop preference elicitation methods for LMICs to better measure food preferences in the context of rapidly evolving food environments. Funding Sources N/A.

A penny for your thoughts: Inducing truth-telling in stated preference elicitation

2010 ◽  
Vol 106 (2) ◽  
pp. 140-142 ◽  
Author(s):  
Lint Barrage ◽  
Min Sok Lee
Keyword(s):  
Stated Preference ◽  
Preference Elicitation ◽  
Truth Telling
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