Purpose This study aims to identify and analyse the interactions among drivers of anti-food waste behaviour at the consumer level. By understanding the mutual interactions among the drivers, an effort is made to identify the most driving and most dependent drivers through the total interpretive structural modelling (TISM) approach. Modelling offers inputs to propose focused interventions for reinforcing the identified drivers of anti-food waste consumer behaviour using the theoretical lens of social practices theory. Design/methodology/approach A proposed model of factors affecting anti-food waste behaviour is arrived at to suggest the most effective anti-food waste behavioural interventions. The factors were identified through an extensive literature search. A hierarchical structure of identified factors has been developed using TISM and MICMAC analysis through expert opinion. Focused marketing strategies towards promoting the identified factors for encouraging anti-food waste behaviour were suggested further. Findings This study identifies nine drivers based on extensive literature review, brainstorming and expert opinion. The TISM hierarchical model portrays the most important and least important drivers of household anti-food waste behaviour. It establishes that fundamental knowledge and socio-cultural norms are the most critical factors to drive the consumers. Marketers can focus on designing effective interventions to enhance the essential knowledge of the consumers and orient the socio-cultural norms towards anti-food waste behaviour. Practical implications This study offers implications for practitioners, policymakers and cause-driven marketing campaigns targeting anti-food waste behaviour. It provides an indicative list of critical factors relevant to household food waste behaviour, which can be used to drive effective marketing campaigns to nudge anti-food waste behaviours. Originality/value The proposed food waste behaviour management model was developed through modelling technique (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis, and relating them to marketing interventions is a novel effort in the food waste domain.
Purpose Organic food is getting attention these days from consumers and producers, in pursuit of safe and chemical-free food. In India, there is an upsurge in entrepreneurs in the organic food sector, with women entrepreneurs signalling higher numbers. Women entrepreneurs have the potential to contribute significantly to the field of organic food; the only requirement is to address the challenges faced by them. This paper aims to attempt at exploring and modelling the challenges faced by women entrepreneurs in the organic food sector. Design/methodology/approach Significant challenges were identified through literature review, primary data collection and expert opinions. The identified challenges were then modelled through total interpretive structural modelling and fuzzy-matriced impact cruises multiplication applique techniques to give a meaningful contextual relationship. Findings This study identified “poor government support” and “less awareness” amongst the stakeholders, as the most strategic challenges with the highest driving power to influence other challenges. In contrast, “low funding options” and “fewer buyers” emerged as the most dependent challenges for organic food women entrepreneurs in India. Originality/value The model proposed in the study gives a roadmap for different stakeholders in the food industry to scale up organic food women entrepreneurs in India.
Goal:The novel coronavirus (COVID-19) pandemic has severely affected the global economies. It has a considerable effect on the agri-food economy and the linking food supply chains. The entire agrifood sector needs more attention because the concept of 'work from home' does not work here, and life cannot move even a single step without food. This paper offers a future agri-food sector perspective amid the COVID-19 pandemic.Design / Methodology / Approach: This paper explores the short-term and long-term effects of the COVID-19 pandemic on agri-food supply chains (AFSCs) based on the available information. The regulatory mechanisms taken by different government agencies, NGOs, and the food industry to manage the demand & supply disruptions are also discussed. Results:The detailed effect analysis of the COVID-19 on agri-food supply chains and remedial strategies are conducted for different interfaces of AFSC, viz. production, handling & storage, processing & packaging, distribution & marketing, consumption, etc. Limitations of the investigation:Given the research area's novelty, it may take enormous time to fully assess the current pandemic (COVID-19) effect on agri-food and its allied sectors.Practical implications: This paper would help the agri-food industry and the authorities assess the effect of COVID-19 on the agri-food sector.Originality/Value: This paper significantly contributes to new research directions and views for the AFSC and disruptions due to the COVID-19 pandemic.
Today, global food systems are highly susceptible to food safety risks, economic shocks, price volatility, and natural disasters and pandemics, such as Coronavirus (COVID‐19). This paper draws the research on food and nutritional security, food fraud and associated economic ecosystem, and the disruptions due to COVID‐19 for socio‐economic inequality globally. It is concluded that the safety risks have pushed enforcement of measures to reduce food supplies, adversely impacting food availability. Also, COVID‐19 is likely to raise fleeting food security and nutritional concerns across the globe, which most likely resulted in the rise in poverty, food fraud, limiting food supply and access. Accelerated investments intended to develop more inclusive, sustainable, and resilient food systems will help shrink the effect of the pandemic and, hence, a way to control the foreseen food security crisis and economic growth. This article is protected by copyright. All rights reserved
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