Blockchain Adoption for Provenance and Traceability in the Retail Food Supply Chain

Blockchain has evolved as one of the disruptive technologies in the landscape of business. The study aims to investigate drivers of consumer adoption of blockchain for product origin and track to trace history before making a purchase. An extended technology adoption model (TAM) has been proposed to examine the consumer perspective for blockchain adoption in the food supply chain. Based on the survey of 208 retail consumers the proposed model was validated using variance-based structure equation modeling. Findings of the study emphasize the significant role of perceived security and privacy in developing trust, ease of use, and usefulness of blockchain-enabled systems. The relationship between perceived ease of use and attitude is mediated through perceived usefulness. The strong influence of attitude on adoption intention represents the consumer interest for blockchain to understand the product provenance. Study provides vital insights for successful blockchain implementation to enhance supply chain effectiveness.

Life Cycle Environmental Impacts and Health Effects of Protein-Rich Food as Meat Alternatives: A Review

The food sector is responsible for a considerable impact on the environment in most environmental contexts: the food supply chain causes greenhouse gas emissions, water consumption, reduction in cultivable land, and other environmental impacts. Thus, a change in food supply is required to reduce the environmental impacts caused by the food supply chain and to meet the increasing demand for sufficient and qualitative nutrition. Large herds of livestock are inappropriate to achieve these goals due to the relevant impact of meat supply chain on the environment, e.g., the land used to grow feed for animals is eight times more than that for human nutrition. The search for meat alternatives, especially for the intake of critical nutrients such as protein, is a consequent step. In the above context, this paper summarizes the health aspects of protein-rich food alternatives to meat and carries out a literature review on the life-cycle environmental impacts of this alternative food.

Market power and food loss at the producer-retailer interface of fruit and vegetable supply chains in Germany

Food loss and waste are associated with an unnecessary consumption of natural resources and avoidable greenhouse gas emissions. The United Nations have thus set the reduction of food loss and waste on the political agenda by means of the Sustainable Development Goal Target 12.3. The German Federal Government committed itself to this goal by implementing the National Strategy for Food Waste Reduction in 2019. However, this policy approach relies heavily on voluntary action by involved actors and neglects the possible role of power imbalances along the food supply chain. While current research on food loss and waste in industrialised countries predominantly focuses on the consumer level, this study puts emphasis on the under-researched early stages of the food supply chain from the field to retailers’ warehouses. Based on 22 expert interviews with producers, producer organisations and retailers, this article identifies major inter-stage drivers of food loss in the supply chains for fresh fruit and vegetables in Germany. Its main novelty is to demonstrate how market power imbalances and risk shifting between powerful and subordinate actors can reinforce the tendency of food loss on the part of producers further up the supply chain. Results indicate that prevalent institutional settings, such as contractual terms and conditions, trading practices, ordering processes, product specifications, and communication privilege retailers and encourage food loss. The mechanisms in which these imbalances manifest, go beyond the European Commission’s current legislation on Unfair Trading Practices. This study suggests a research agenda that might help to formulate adjusted policy instruments for re-structuring the German fruit and vegetable markets so that less food is wasted.

An approach for forecasting the Onion Price volatility in Indian Wholesale Markets using hybrid GARCH-LSTM Deep learning models

The fluctuations in the Onion prices have led to political and economic ramifications in countries such as India. In this study, we intend to estimate and then forecast the price volatility of Onion sales prices in major Indian wholesale markets. Initially, we take daily price data from major vegetable wholesale markets across India and simulate them to compute corresponding daily conditional volatilities using the traditional GARCH method. We then forecast the volatilities for the upcoming 10,15 and 21 days using the same traditional GARCH method and compare its forecasting accuracy with recent AI-led models. According to our comparisons, the deep learning-based LSTM model with various configurations provides superior results when compared to other traditional models with the highest accuracy in more than 70% of the cases. We expect that the given study could help the policymakers in managing sufficient buffer stock levels and the food supply chain stakeholders in hedging against the overall market risks due to the fluctuations in prices.

Standard Food Safety Practices From Receiving to Cleaning in the Restaurant

Transmission of hazardous materials could be aggravated by inappropriate handling and storage practices. This results in cross-contamination to foodstuff or cooking utensils. The introduced hazards in the food supply chain might lead to client and reputation loss. The implementation of food safety is necessary to secure safety concerns. All employees should take initiative to be aware and have good attitudes regarding proper hygiene and sanitary practices to assure their product integrity and safety for human consumption. Therefore, this chapter delivered the appropriate and standard food safety protocols to all individuals involved in food storage, preparation, and serving. The scope was structured into (1) identification of hazardous ingredients, (2) purchasing and receiving raw materials, (3) transporting and storage, (4) cooking and reheating, (5) food serving and displaying, (6) leftover storage, and (7) cleaning and sanitation.

Blockchain for Agri-Food Supply Chain and Logistics Management

Today, the globalization of the supply chain in the food industry has surged remarkably; hence, food safety and quality certification have become critical. Blockchain is recognized as a promising technology in the agri-foods industry where it can act as a systematic and robust mechanism for increasing the food traceability and provide a transparent and efficient way to assure quality, safety, and sustainability of agri-foods. By lowering the cost and increasing value, this digital technology has the potential to increase profitability of agricultural produce along the value chain. This chapter aims to investigate the potential utilization of blockchain technology in the agri-food industry, where it can be used to address issues of trust and transparency and to facilitate sharing of information sharing among stakeholders. The technology is still in a preliminary stage; thus, this chapter is written to examine its implication in the agri-food supply chain, existing initiatives, challenges, and potential.