Packaging, perception, and acceptability: a comprehensive exploration of extrinsic attributes and consumer behaviours in novel food product systems

Abstract In today's global markets, the constant arrival of new products represents a challenge for the food industry to offer distinct choices to consumers, primarily due to the parallel sensory attributes and pricing structures of the available food options. Innovators must employ methodologies beyond traditional sensory analysis to ensure the product's success. Researchers must, therefore, explore the entire product experience to understand its influence on consumer behaviours. Food choices are multifaceted, influenced by various factors, including individual physiological and psychological characteristics and intrinsic and extrinsic product attributes. As a result, consumers' decisions are shaped by the multisensory information derived from products they encounter in supermarkets. This review aims to comprehensively examine the factors influencing consumer food choices, from initial product encounters to consumption. The review explores the impact of repetitive tasting on the consumer's attitudes and intentions towards novel products. Additionally, the review investigates which extrinsic attributes capture consumer attention in supermarket settings. It also delves into the effects of extrinsic product attributes on both explicit and implicit emotions and expectations raised about the sensory properties of the product and, ultimately, their purchasing behaviours.

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Publication Details

Journal
International Journal of Food Science & Technology
Published
2024-09-02
DOI
https://doi.org/10.1111/ijfs.17463
Citations
12
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
4.18
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article

Packaging, perception, and acceptability: a comprehensive exploration of extrinsic attributes and consumer behaviours in novel food product systems

James D. Morton, Luca Serventi, Damir D. Torrico, Lokesh Kumar et al.
12 citations
International Journal of Food Science & Technology
Sensory Analysis and Statistical Methods
4.18
article

Packaging, perception, and acceptability: a comprehensive exploration of extrinsic attributes and consumer behaviours in novel food product systems

James D. Morton, Luca Serventi, Damir D. Torrico, Lokesh Kumar, Annu Mehta
article en
12 citations

Abstract

Abstract In today's global markets, the constant arrival of new products represents a challenge for the food industry to offer distinct choices to consumers, primarily due to the parallel sensory attributes and pricing structures of the available food options. Innovators must employ methodologies beyond traditional sensory analysis to ensure the product's success. Researchers must, therefore, explore the entire product experience to understand its influence on consumer behaviours. Food choices are multifaceted, influenced by various factors, including individual physiological and psychological characteristics and intrinsic and extrinsic product attributes. As a result, consumers' decisions are shaped by the multisensory information derived from products they encounter in supermarkets. This review aims to comprehensively examine the factors influencing consumer food choices, from initial product encounters to consumption. The review explores the impact of repetitive tasting on the consumer's attitudes and intentions towards novel products. Additionally, the review investigates which extrinsic attributes capture consumer attention in supermarket settings. It also delves into the effects of extrinsic product attributes on both explicit and implicit emotions and expectations raised about the sensory properties of the product and, ultimately, their purchasing behaviours.

International Journal of Food Science & TechnologyVol. 59(10)
Plant & Food Research (NZ), University of Illinois Urbana-Champaign (US), Urbana University (US), Lincoln University (NZ), Lincoln University - Pennsylvania (US), University of Lincoln (GB)
Zero hunger
Openalex Percentile: Top 6%
Sensory Analysis and Statistical Methods
4.18
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