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Motivated by the wide application of procurement strategies in retailing, this paper aims to examine the effect of procurement strategies on decisions and profits and strategic inventory (SI) is considered.

The game-theoretic models are developed under a two-period fresh product supply chain (FSC), and consist of the mode of purchasing products only in the first period without SI (Scenario S), the mode of purchasing products in every period without SI (Scenario T) and the mode of purchasing products in every period with SI (Scenario TS).

Conducting the calculating and comparing, some major findings can be concluded. In general, two-period purchasing strategies (Scenarios T and TS) promote a higher freshness-keeping effort than the single buying strategy (Scenario S). Regarding the pricing strategy, SI and Scenario S can both contribute to obtaining a lower wholesale price, the retailer's pricing is relatively complicated and hinges on the consumer's sensitivity to freshness-keeping effort and the holding cost. Besides, comparing the sales quantity and the profit, the authors find that Scenario TS stimulates more demands and brings more profits for the manufacturer. However, Scenario TS is not the optimal selection for the reason that SI sometimes hurts the retailer and even the whole supply chain. Whereas, when the holding cost is in a certain range, Scenario TS will lead to a win-win situation.

The main findings of this study can give the enterprises some advice on the procurement strategies of fresh products and the decisions of pricing and the freshness-keeping effort.

There are particularly high fresh agricultural product (FAP) loss rates in actual supply chain operation and the development of FAPs e-commerce is hindered to some extent. The purpose of this paper is to achieve the coordination of three-layer FAP supply chain and maximize profit through the contracts among the supply chain members.

A three-layer FAP supply chain that consists of a fresh produce e-commerce enterprise, third-party logistics service provider (TPLSP) and community convenience store under e-commerce environment is considered. New game models are developed and optimal decisions in centralized and decentralized channel are characterized. Different contract coordination mechanisms are designed to improve the supply chain performance. Finally, computational studies are conducted.

The decentralized supply chain cannot be coordinated by a freshness-keeping cost-sharing contract, and it can be coordinated by a freshness-keeping cost-sharing and revenue-sharing contract. The optimal unit online selling price, unit logistics distribution price, fresh-keeping effort and unit self-collection service price can all be achieved.

The paper provides a practical guideline to managers in fresh produce industry in terms of how to cooperate with other supply chain members so as to maximize total profit and achieve Pareto improvement while also supply the freshest and safest produce to the target market under e-commerce environment.

Few studies have explored the coordination of three-layer FAP supply chain under e-commerce environment with TPLSP and community convenience store’s participation in decisions, especially considering that the market demand for FAPs is affected by freshness and unit online selling price. In this paper, all these scenarios are taken into account and corresponding mathematical models are developed. In particular, different contract coordination mechanisms are designed and examined simultaneously.

The aim of this study is to identify descriptions involved in defining the concept of freshness from a consumer perspective.

A total of 559 subjects recruited in supermarkets of different cities and villages in Switzerland were asked to write down their understanding of freshness in general, and for fruits and vegetables in particular. Direct elicitation by means of an open‐ended questionnaire was used.

Respondents mentioned a large variety of descriptors in relationship with fresh fruits and vegetables. Results suggest that freshness describes a level of closeness to the original product, in terms of distance, time and processing. Respondents having more contact with the place of fruit and vegetable production mentioned non‐sensory attributes more frequently, whereas those having fewer contacts mentioned sensory attributes more frequently. It can be concluded that consumers have a collective concept of freshness but they use their different everyday experiences with fruits and vegetables to describe freshness.

Analysis of open‐ended questionnaires is time‐consuming and difficulties were encountered in the categorisation of phrases. Participants might have been influenced by the environment in supermarkets.

The perception of freshness is influenced by the information consumers have on products. Therefore, the importance of providing sufficient information on the products is emphasized.

The study is the first to extensively investigate the consumer understanding of the term “fresh” in relationship with fruits and vegetables. The use of an open‐ended questionnaire is particularly interesting as it allows greater freedom of expression by the participants compared with other forms of enquiry.

With the rapid growth of the economy, people have increasingly higher living standards, and although people simply pursued material wealth in the past, they now pay more attention to material quality and safety and environmental protection. This paper discusses the lack of motivation for investing in fresh-keeping technology for agricultural products by individual members of an agricultural supply chain composed of a supplier and a retailer by means of mathematical models and data simulations and discuss the optimal price-invest strategies under different sales models.

First, based on the model of no investment by both sides (NN), this paper considers three models: supplier only (MN), retailer only (NR) and cooperative investment (MR). Then, the authors analyze the influence of consumer price sensitivity and freshness sensitivity on the investment motivation of agricultural products under four models. Subsequently, the paper makes a sensitivity analysis of the optimal strategies under several models, and makes a game analysis of the suppliers and retailers of agricultural products. Finally, we conduct an empirical analysis through specific values.

The results show that (a) when the two sides cooperate, the amount of investment is largest, the freshness of the agricultural products is highest, and the sales volume is greatest; however, when both sides do not invest, the freshness of agricultural products and sales volume are lowest. (b) The price and freshness sensitivity of the consumer have an impact on investment decisions. Greater freshness sensitivity corresponds to a higher investment, higher agricultural product price, greater sales volume, and greater supply chain member income and overall income; however, greater price sensitivity corresponds to a lower investment, lower agricultural product price, lower sales volume, fewer supply chain members and lower overall income. (c) The investment game between the supplier and retailer is not only related to the sensitivity to price and freshness but also to the coordination coefficients of interest. At the same time, the market position of agricultural products should be considered when making decisions. The market share of agricultural products will affect the final game equilibrium and then affect the final benefit of the supply chain and individual members.

These results provide managerial insights for enterprises preparing to invest in agricultural products preservation technology.

At present, the main problem is that member enterprises of agricultural supply chains operate based on their own benefits and are resistant to investing alone to improve the freshness of agricultural products. Instead, they would prefer that other members invest so that they may reap the benefits at no cost. Therefore, the enterprises in each node of the agricultural product supply chain are not motivated enough to invest, and competition and game states are observed among them, and such behavior is definitely not conducive to improving the freshness of agricultural products. However, the current research on agricultural products is more about price, quality and greenness, etc., and there are few studies on agricultural investment. Through the establishment of the model, this paper is expected to provide theoretical suggestions for the supply chain enterprises that plan to invest in agricultural products preservation technology.

The aim of this study was to analyze the effects of carbon reduction efforts and preservation efforts on system benefits in the cold chain industry of fresh products.

This study develops an optimal decision game model for the fresh products in the cold chain, incorporating the retailer's preservation effort and the supplier's carbon emission reduction effort. It quantifies the relationship between carbon emission reduction effort, preservation effort and system profit. The model considers parameters like carbon trading price, consumer low-carbon preference and consumer freshness preference, reflecting real-world conditions and market trends. Numerical simulations are conducted by varying these parameters to observe their impact on system profit.

Under the carbon cap-and-trade policy, the profit of the fresh cold chain system is higher than that of the fresh cold chain system without carbon constraints, and the profit of the supplier under decentralized decision-making is increased by nine times in the simulation results. The increase in carbon trading prices can effectively improve the freshness level of fresh products cold chain, carbon emission reduction level and system profit.

This study comprehensively considers the factors of freshness and carbon emission reduction, provides the optimal low-carbon production decision-making reference for the fresh food cold chain and promotes the sustainable development of the fresh food cold chain.

The purpose of this paper is to focus on determining the optimal sales price for non-instantaneous deterioration items according to consideration of freshness and demand.

In this model, the authors have described the demand function which is dependent on price as well time. The products that the deterioration is considered as non-instantaneous have a determinate shelf life, and their demand rate will decrease over time after the beginning of the selling period. This paper depicts that the total profit of non-instantaneous deterioration items using the dynamic pricing strategy is higher than that using fixed pricing strategy.

Finally, to illustrate and validate the model, the authors have used some numerical examples. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.

This paper complements the lack of the existing theoretical research of pricing for non-instantaneous deterioration items under an e-commerce environment. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.

This paper aims to offer social marketers an innovative method to promote healthy foods. This method demonstrates the effectiveness of indirect communication in attracting consumers to healthy foods. Further, it aims to offer a way to promote food as healthier with no detrimental effects on its perceived appeal, which are a likely side effect of advertising food as healthy.

Four between-participant lab studies (N = 50, 80, 80, 102) included manipulations of food motion vs stillness and then compared ratings of food freshness, healthiness and appeal using self-report measures.

Motion increases healthiness evaluation. This increase in healthiness evaluation occurs without reductions in food appeal. These effects are mediated by evaluations of freshness. This occurred across three different food types and two mediums (still images and digital videos).

The paper provides an effective tool for social marketers wishing to encourage healthier eating. Specifically, it helps address two problems: low effectiveness of prevalent, information-based appeals to encourage healthy eating; and reduced evaluations of tastiness that normally occur when consumers are convinced food is healthy.

Social marketers can use motion as an effective tool to promote food as healthy. Importantly, this indirect communication avoids the potential pitfall of reduced food appeal. This should help encourage healthier eating. The findings also supports the use of indirect cues as an effective approach to promoting social ends.

Offering a novel, indirect method of enhancing judgments of food healthiness via a simple visual cue. Demonstrating the effect and its underlying mechanism. Providing a way to counter the prevalent “unhealthy = tasty” intuition, a major obstacle to promoting healthy eating. Supporting social marketers’ use of indirect communication to increase the appeal of desirable societal goals. Finally, showing that sensory visual cues can serve as a source of heuristic thinking.

The Internet of Things (IoT) is used in the fresh agricultural product (FAP) supply chain, which can be coordinated through a revenue-sharing contract. The purpose of this paper is to make the three-level supply chain coordinate in IoT by considering the influence of FAP on market demand and costs of controlling freshness on the road.

A three-level FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT is regarded as the research object. This study improves the revenue-sharing contract, determines the optimal solution when the supply chain achieves maximum profit in three types of decision-making situations, and develops the profit distribution model based on the improved revenue-sharing contract to coordinate the supply chain.

The improved revenue-sharing contract can coordinate the FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT, as well as benefit all enterprises in the supply chain.

Resource utilization rate can be improved after coordinating the entire supply chain. Moreover, loss in the circulation process is reduced, and the circulation efficiency of FAPs is improved because of the application of IoT. The validity of the model is verified through a case analysis.

This study is different from other research in terms of the combination of supply chain coordination, FAPs, and radio frequency identification application in IoT.

This paper studies the optimal decision-making and coordination problem of a dual-channel fresh agricultural product (FAP) supply chain. The purpose is to analyze the impact of information sharing on optimal decisions and propose a coordination mechanism to encourage supply chain members to share information.

The two-echelon dual-channel FAP supply chain includes a manufacturer and a retailer. By using the Stackelberg game theory and the backward induction method, the optimal decisions are obtained under information symmetry and asymmetry and the coordination contract is designed.

The results show that supply chain members should comprehensively evaluate the specific situation of product attributes, coefficient of freshness-keeping cost and network operating costs to make decisions. Asymmetric information can exacerbate the deviation of optimal decisions among supply chain members and information sharing is always beneficial to manufacturers but not to retailers. The improved revenue-sharing and cost-sharing contract is an effective coordination mechanism.

The conclusions can provide theoretical guidance for supply chain managers to deal with information asymmetry and improve the competitiveness of the supply chain.

This paper combines the three characteristics that are most closely related to the reality of supply chains, including horizontal and vertical competition of different channels, the perishable characteristics of FAPs and the uncertainty generated by asymmetric demand information.

The technology of time temperature integrators (TTI) is used to ensure the safety and quality of temperature sensitive goods such as food and drugs along their entire lifespan. This work aims to provide a better understanding of potential benefits that can be expected from the use of TTIs in terms of supply chain improvement.

Based on the different types of information provided by TTIs: information on products' freshness and information on products' remaining shelf lives, the paper identifies qualitatively the benefits that would stem from each type of information.

A framework is built to evaluate the benefits, in terms of cost reduction and/or quality service improvement, that would stem from information provided by TTIs. Illustrative models are also developed in order to quantify some of these benefits.

The coexistence on products' packaging of a printed use by date and a TTI device can be misleading for consumers. Besides, the benefits that supply chain actors will achieve by using TTIs will vary by product category and are dependent upon the level at which the TTI device is used. Further research and case studies have to be developed in order to bring further answers to these issues.

This paper is one of the first studies that helps companies in the food and the health care industry to better understand the benefits of using TTIs from an operations management point of view and to evaluate whether it can be advantageous to deploy this technology or not.

This work differs from investigations in literature in that it identifies exhaustively and qualitatively the benefits of TTIs and to give perspectives for quantitative models that can be developed to assess these benefits.