ArticleThe Behavior analyst2017
Online Healthy Food Experiments: Capturing Complexity by Using Choice-Based Conjoint Analysis.
Article in The Behavior analyst, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 21 citations in OpenAlex.
- Information, ingestion, and impulsivity: The impact of technology-enabled healthy food labels on online grocery shopping in impulsive and non-impulsive consumers.Frontiers in nutrition · 2023Article
- Cereal Deal: How the Physical Appearance of Others Affects Attention to Healthy Foods.Perspectives on behavior science · 2020Article
- Are you ready for the challenge? Social Media Health Challenges for Behaviour Change.Perspectives on behavior science · 2020Article
- Audaciously under the Dome: Behavior Science in Systems and Society.Perspectives on behavior science · 2019Article
- Editorial: Behavior Science for the Public Welfare.Perspectives on behavior science · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The impact of complex environmental factors on consumer choices and preferences can be analyzed through the prism of consumer behavior analysis, whereas variations of marketing attributes and their impact on choice can be measured using conjoint analysis. Considering the case of the constantly growing online food selections, we discuss choice-based conjoint analysis and explore the opportunities for behavior analysts to examine the interrelationships of multiple variables and socially important choice settings, and to promote desired behaviors. We show a few examples of using trade-off analyses in online food retail to understand consumer behavior with respect to healthy food items. As demonstrated in these examples based on our own pilot research, conjoint analysis can be used for complex behavior-that which is not amenable directly to an experimental analysis-or as an efficient initial step before moving into further experiments or analyses using biometrics (e.g., eye-tracking) or web analytics conducted in different settings such as e-commerce, e-mail, social media, or on mobile platforms. This paper summarizes the personalized, data driven economic analysis that is possible with a choice-based conjoint analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.