How does foodstagramming shape consumer dining behavior? A systematic review using ADO-TCM

Abstract

This study conducts a systematic review of foodstagramming; the practice of sharing food photographs on social media, and its effects on consumer dining behavior. The research adopts a dual-methodological approach, using bibliometric analysis to map research trends onto the ADO–TCM framework (Antecedents-Decisions-Outcomes; Theories-Contexts-Methods) framework to classify the existing literature. The findings indicate that self-presentation and social connection are the major drivers of foodstagramming that greatly change consumer decision making and restaurant brand perception. Although the existing literature points out positive implications for well-being and marketing outcomes, it lacks conceptual coherence. The novelty of this study is in the fact that it uses ADO-TCM framework, the only research contributing a forward step in the domain, as it extends beyond descriptive analysis, but also a structured predictive map of the consumer journey. In practice, the findings provide the restaurant marketers and managers with strategic information about the design and digital interaction that is most visually appealing for social media sharing. Theoretically, the research recognizes the essential gaps in the incorporation of AI/AR and ethical issues, which can form a clear agenda on future interdisciplinary research in the field of tourism and hospitality.