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The escalating prevalence of non-communicable diseases has underscored the crucial role of Front-of-Pack-Labelling (FoPL) in shaping consumer decisions. However, the research in this field is still in its developing stage, leading to a fragmented and limited body of work. Given the critical importance of FoPL, it is imperative to conduct a comprehensive literature review of existing research to outline the academic aspect of FoPL research. This research paper aims to combine the available research to generate a systematic compilation of literature, thereby contributing to the advancement of knowledge in this vital area.

To achieve the objectives, a systematic literature review technique was followed. The database used for the extraction of documents was Scopus. Sixty-three articles were critically examined to extract the relevant information.

Based on the analysis types of a study conducted, data collection source, types of FoPL studied, key themes, theoretical model, antecedents, dependent/independent variables and outcome were identified. It also explained the underlying phenomenon of FoPL’s impact on the various outcomes. An integrative theoretical model was also proposed based on the underlying mechanism, antecedents, moderator, mediator and outcome. Towards the end of the paper, research gaps were also identified for future paths in unexplored areas.

To the best of the authors’ knowledge, this paper is the first attempt in the field of FoPL to comprehensively include all the dependent and independent variables involved and propose a framework along with future research prospects. The findings will guide researchers and policymakers.

This study aims to understand the impact of extreme weather events on fast-moving consumer goods (FMCG) consumption and to examine the role of anticipated product scarcity and FMCG types on such behavior.

This paper conducted five studies, combining archival data analysis with behavioral experiments. The archival data included sales data from a supermarket chain and weather data from the National Weather Service. The experiments were designed to test the effect of extreme weather cues on consumption, the psychological mechanism behind this effect and moderators.

This research found that consumers’ anticipation of extreme weather events significantly increases their consumption of FMCGs. This research further discovered that these behaviors are driven by anticipated product scarcity and moderated by consumers’ altruisms and FMCG types.

Limitations of the research include the reliance on reported sales data and self-reported measures, which could introduce biases. The authors also primarily focused on extreme weather events, leaving other types of disasters unexplored. Furthermore, cultural differences in disaster response might influence results, yet the studies do not fully address these nuances. Despite these limitations, the findings provide critical insights for FMCG retailers and policymakers, suggesting strategies for managing demand surges during disasters. Moreover, understanding consumer behavior under impending disasters could inform intervention strategies, potentially mitigating panic buying and helping ensure equitable resource distribution. Last, these findings encourage further exploration of environmental influences on consumer behavior.

The findings have practical implications for products, brand managers and retailers in managing stock levels and product distribution during disasters. Furthermore, understanding the psychological mechanisms of these behaviors could inform policymakers’ designs of public interventions for equitable resource allocation during extreme weather events.

The research provides significant social implications by highlighting how extreme weather events impact FMCG consumption. This understanding can guide public policymakers in creating efficient disaster management plans. Specifically, anticipating surges in FMCG purchases can inform policies for maintaining price stability and preventing resource shortages, mitigating societal stress during crises. Moreover, these findings encourage public education around responsible purchasing during disasters, potentially reducing panic buying. By collaborating with FMCG manufacturers and retailers, governments can ensure a steady supply of essentials during extreme weather events. Thus, the research can play a crucial role in enhancing societal resilience in the face of impending disasters.

To the best of the authors’ knowledge, this is the first study to integrate the impact of extreme weather events on consumption behavior with the psychological theory of anticipated product scarcity. The unique focus on FMCGs offers a novel perspective on consumer behavior literature.

This study aims to explore the structural changes in food consumption expenditure in Indonesia before and during the COVID-19 pandemic using data from the 2020 and 2021 National Socioeconomic Survey by Statistics Indonesia.

The quadratic almost-ideal demand system analysis model is used to estimate changes in the share of food consumption and the demand and price elasticity of food commodities in Indonesia. A total of 15 food items are analyzed to determine changes in food consumption expenditure during the COVID-19 pandemic.

The results of this study show that during the COVID-19 pandemic, there was an increase in the proportion of household expenditure related to the consumption of home-cooked food. Simultaneously, the proportion of expenditure on prepared food significantly decreased.

The pandemic has changed household food consumption in Indonesia. This study recommends that the government ensure the availability of supplies and stability of food prices and provide financial subsidies to maintain food consumption, especially for lower-income communities.

There has yet to be a study on the changes in household food consumption during the COVID-19 pandemic in Indonesia. Therefore, this research provides empirical evidence that there were changes in household food expenditure during the pandemic.

This study aims to identify the major factors influencing the consumers to prefer milk products and also to analyze the awareness level of the Indian consumers.

In this study, the data is obtained through a structured questionnaire from Indian consumers considering convenience sampling under the nonprobability sampling technique. The consumer preference is explained using a multiple-regression model followed by analysis of variance (ANOVA), which shed insight on the significant differences between the variables that influence consumer preference for dairy products.

Investigation is done to analyze the factors influencing the consumers' buying behavior toward milk and its products. The results showed that quality, health consciousness, price and availability are the most influencing factors to buy milk products. Quantity of milk showed a significant relationship between age, monthly income and family size.

This study helps marketing managers to frame the marketing strategies based on consumer preference, quality, health consciousness, price and availability. The research outcome will not only be advantageous for the entrepreneurial perspective but also takes care of consumer likeliness. Though the research reveals the opinion of Indian consumers, it limits the likeliness of the western world. Because of the scarcity of resources, several dairy products are unexplored, which could pave the future scope of research.

The novelty of this study is to identify the quality, health consciousness, price and availability are the most influencing factors to buy milk products considering ANOVA and the multiple regression model.