Peng Lu

Texas A&M University
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Articles (15)

Year:

2024

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2024

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2024

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2024

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2024

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2023

Recently, meat scientists have developed an innovative amino acid-based alternative meat curing system (AAACS). However, consumer skepticism toward novel foods presents challenges regarding the acceptance of food innovations like the AAACS. Effective communication about this and other food technologies is critical. Our study was a 2 × 4 randomized factorial between-groups experiment that investigated how two peripheral cues—message frame and information source—impact attitudes toward the AAACS. We used Qualtrics to randomly assign participants to one of eight treatment groups. Each group viewed a different video about the AAACS. Then, all participants were asked about their attitudes toward the alternative meat curing system. Data were analyzed using a two-way multivariate analysis of variance (MANOVA). The two-way MANOVA determined concurrently the experimental effects of message frame and information source on information recall, trust, source expertise, source credibility, and anticipated consumption behavior. A significant MANOVA was followed up using Discriminant Function Analysis (DFA). A significant main effect was found for information source. The DFA revealed only one significant underlying function and that source expertise was the most powerful discriminating variable for information source.

Year:

2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Year:

2022

Collaborators (3)

Jaehyun Ahn

Assistant Professor of Artificial Intelligence Extension

University of Calgary Research

UNITED STATES
View details

Matt Baker

Professor and Head

Texas A&M AgriLife

UNITED STATES
View details

Gary Wingenbach

Professor

Texas A&M University

UNITED STATES
View details
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