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The impact of digital image-based features on users' emotions and online behaviours in the food industry

Grazia Murtarelli (Università IULM, Milano, Italy)
Stefania Romenti (Università IULM, Milano, Italy)
Chiara Valentini (University of Jyväskylä, Jyväskylä, Finland)

British Food Journal

ISSN: 0007-070X

Article publication date: 30 June 2021

Issue publication date: 3 January 2022

966

Abstract

Purpose

Online images can convey sensory-based elements affecting digital users' emotions and digital engagement. The purpose of this study is to investigate which image-based features are more effective in conveying and stimulating particular emotions and engagement towards organizations operating in the food industry.

Design/methodology/approach

An online experimental survey was implemented. Two image-based features, narrativity and dynamism were chosen. The stimuli comprise four images, one with high and one with low level of narrativity, and one with high and one with low dynamism, published by a food company on its official Instagram account. Food-identity, emotional appeals and digital visual engagement behaviours were measured. A total of 141 students between 19 and 25 years old of a European University completed the questionnaire. Data was analysed through SPSS software using t-test analysis.

Findings

Results show that both narrativity and dynamism impact digital users' emotions and it was found to impact digital visual engagement attitude. Food involvement was measured in terms of food identity impact the effects of specific image-based features on emotions and visual engagement.

Research limitations/implications

The study focuses on only two visual social semiotics features – narrativity and dynamism – and therefore, only partially captures the potentialities of images in digital communications.

Practical implications

This study provides professionals with empirical evidence and insights for effectively planning a visual social media strategy.

Originality/value

This paper contributes to the stream of research in social media communications by investigating the visual social semiotic features of images published online by a food company.

Keywords

Citation

Murtarelli, G., Romenti, S. and Valentini, C. (2022), "The impact of digital image-based features on users' emotions and online behaviours in the food industry", British Food Journal, Vol. 124 No. 1, pp. 31-49. https://doi.org/10.1108/BFJ-12-2020-1099

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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