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In this paper, we provide a simple conceptual framework with empirical analysis to investigate the effect of product attributes and e-vendor characteristics that are potentially included in the online shopper’s information search on their online shopping behavior in China.

This paper examines consumers’ online shopping frequency for food/grocery using an ordered logit model and for fresh food (a subcategory of food/grocery) using a two-part model, considering product attributes, e-vendor characteristics, and consumer perceptions and characteristics.

The results show that product origin is an influencing factor in shopping for fresh food online, reflecting consumers’ growing interests in imported food or specialty food from other areas. Consumers are more likely to shop online for fresh food if they perceive online shopping as having a price advantage. But consumers who view price as a top factor are less likely to buy fresh food online frequently. Thus competitive prices might be a motive for online fresh food shopping, but consumers concerned about price do not necessarily shop frequently. Negative perceptions of product freshness reduce consumers’ likelihood and frequency of shopping for fresh food online. Concerns on food quality and e-vendors’ credibility prevent consumers from frequently shopping for fresh food online. Social and demographic characteristics also influence consumers’ decisions.

This paper provides a better understanding of consumer’s online grocery shopping preferences and sheds light on policy and regulation design and implementation in the e-commerce industry, which will ultimately protect and benefit consumers.

The purpose of this paper is to define the sustainability attributes of frozen and fresh food consumption in a typical household. The reason for writing this paper is that food preservation is often overlooked when developing sustainability strategies.

This study uses established carbon footprint data for specific food types and consumer survey data to determine how consumers use fresh and frozen products in the home. Consumption and waste data for 83 households was obtained using a combination of narrative and graphical association questions.

The results show greenhouse gas emissions associated with a diets containing frozen food are reduced because 47 per cent less frozen foods is wasted as compared to fresh foods with a typical household wasting 10.4 per cent of fresh food and 5.9 per cent frozen food.

This research has highlighted the importance of understanding the waste impacts of catering and food service consumption outside the home.

This research will guide future product development for frozen foods with regard to dietary planning and portion control.

The cost and sustainability benefits of meal planning are identified and these will inform policy making and education to improve dietary choices.

This work extends the scope of current consumer surveys that assess quality, value and taste attributes to sustainability criteria and it will enable collaboration between fresh and frozen product categories to deliver sustainable dietary options.

The purpose of this paper is to gain an understanding of the quality cues that consumers look for in purchasing fresh meat and fresh fruit and vegetables in Malaysia. Through a perceived quality model, this paper identifies the implicit, intrinsic, extrinsic and credence quality cues consumers’ use in their decision to purchase fresh meat and fresh fruit and vegetables.

This study utilised the shopping mall intercept survey method. Data were collected from traditional markets and modern retail outlets in the Klang Valley region in Malaysia. A structured questionnaire was designed to measure consumer’s perceptions and experiences of food quality when purchasing fresh meat and fresh fruit and vegetables from retail outlets. In this study, univariate data analysis (descriptive analysis, one-way analysis of variance) and exploratory factor analysis were performed to analyse the data sets.

Freshness (intrinsic cue), was the most frequently cited variable when respondents thought about the quality of both product categories. Other variables included price and cleanliness (extrinsic cues) and Halal (credence cue), which was associated with the quality of fresh meat. Quality was associated with freshness, food safety, nutrition and value. Exploratory factor analysis identified food safety (implicit cue) as the most important construct in the respondents’ evaluation of quality for both fresh meat and fresh fruit and vegetables.

There is a paucity of research focusing on consumer’s perceptions and experiences of food quality in the purchase of fresh meat and fresh produce in Malaysia. The findings of this research may assist the Malaysian food industry by providing new insights into the consumers’ perceptions of food quality.

All along the length of the supply chain, fresh food firms face the challenge of managing both product quality, due to the perishable nature of the products, and product cost. The purpose of this paper to develop a method to assist logistics managers upstream in the fresh food supply chain in making cost optimized decisions regarding transportation, with the objective of minimizing the total cost while maintaining the quality of food products above acceptable levels.

Considering the case of multiple fresh food products collected from multiple farms being transported to a warehouse or a retailer, this study develops a total cost model that includes various costs incurred during transportation. The practical application of the model is illustrated by using several computational intelligence approaches including genetic algorithms (GA), fuzzy genetic algorithms (FGA) as well as an improved simulated annealing (SA) procedure applied with a repair mechanism for efficiency benchmarking. The authors demonstrate the practical viability of these approaches by using a simulation study based on pertinent data and evaluate the simulation outcomes.

The application of the proposed total cost model was demonstrated using three approaches of GA, FGA and SA with a repair mechanism. All three approaches are adoptable; however, based on the performance evaluation, it was evident that the FGA is more likely to produce a better performance than the other two approaches of GA and SA.

This study provides a pragmatic approach for supporting logistics and supply chain practitioners in fresh food industry in making important decisions on the arrangements and procedures related to the transportation of multiple fresh food products to a warehouse from multiple farms in a cost-effective way without compromising product quality.

This study extends the literature on cold supply chain management by investigating cost and quality optimization in a multi-product scenario from farms to a retailer and, minimizing cost by managing the quality above expected quality levels at delivery. The scalability of the proposed generic function enables the application to alternative situations in practice such as different storage environments and transportation conditions, etc.

This paper aims to investigate the characteristics of demand and supply in relation to the real-world supply chain strategies of local urban fresh food supply chains (FFSC). It generates insights into how a range of strategies is adopted by urban retailer businesses in attempting to cater for the particular requirements of food-literate urban consumers and small-scale local growers.

Using a multiple case study method, 12 urban local fresh food retailers in Sydney were studied and interview data were analyzed using thematic analysis.

Local fresh produce has characteristics of both functional and innovative products. Retailers with strong upstream and downstream collaborations adopt hybrid strategies for increased time efficiency and product variety. The dominance of strategies for time efficiency in downstream activities is aimed at maximising the product’s freshness and taste, while product range improvement strategies mean innovative retailers are working with growers to introduce new product types and offering new recipes to consumers that encourage a wider use of products. Urban retailers of local fresh produce leverage on their relationships with upstream and downstream supply chain entities in implementing hybrid strategies.

Policymakers will make use of the new knowledge generated about the real enablers of contemporary urban food systems in designing developmental policies; findings will inform urban FFSC retailers about how harmonious relationships can be leveraged for sustainability.

The study generates new knowledge on the implementation of a leagile approach by studying the adoption of innovative hybrid strategies by urban local FFSCs in relations to demand and supply characteristics and the utilization of strong vertical relationships in a short supply chain.

This chapter explores the potential economic advantages and disadvantages of reusable plastic containers (RPCs) in the transport of fresh produce from growers to retail stores. The empirical research linking packaging to quantifiable economic and social benefits is reviewed. This study answers the question – what are the economic and social impacts of increased standardization of bulk packaging in the North American fresh produce supply chains? Implications for the potential use of RPCs and its impact on sustainability are explored.

The chapter describes data from grocery retailers who have implemented both one-way and reusable plastic containers for fresh produce distribution. A Time-Driven Activity-Based Costing (TD-ABC) analysis was conducted to capture and evaluate process times and product damage associated with the typical deployment of bulk containers in the grocery retailers’ distribution centers (DC), retail stores, and asset recovery centers of the supply chain. Economic measures were implemented and together with the social dimensions provided insights about sustainability-based implications.

Fresh produce shipments using the RPC technology had significantly less waste and damage representing potential social and economic benefits. The empirical findings included results about the economic impact of RPCs on the sustainability level of a typical supply chain for fresh food products.

The quantification of the economic and potential social sustainability for the explored packaging types constitutes an important contribution. Much of the previous research did not contain comprehensive assessments. The impact of technological change – the introduction and use of RPC in packaging – is examined. In addition, the supply chain scope for this research included most of the major activities that involve the packaging of fresh produce commodities in its practical dynamics.

The aim of this empirical paper is to study information sharing in fresh food supply chains, with a specific goal of reducing waste and facilitating sustainable performance. The study focuses on material and information flow issues, specifically on sharing demand and shelf‐life data.

This work has been designed as an exploratory case study in three fresh food supply chains, milk, fresh fish, and fresh poultry, in the Nordic countries. The cases are based on interviews and data from the databases of the companies involved. Each case focuses on analyzing information flow, particularly the current order patterns and forecasting and planning process, and material flow, focusing on the supply chain structure. In two cases significant changes have been made to forecasting processes and material flow, while the third case intends to identify the most beneficial uses of shared information to create a sustainable fresh food supply chain.

The performance of the perishable food chain can be improved by more efficient information sharing. The key to improved operations is how and for which purposes the shared data should be used. In addition, changes in the supply chain structure were needed to speed up the deliveries and ensure shelf availability. The cross‐case analysis revealed that improved performance was obtained with parallel changes in information sharing and usage and in material flow.

Few studies approach the problem of waste and sustainability from an integrated supply chain perspective. This paper links data sharing with the sustainability performance of the supply chain as a whole.

With the rapid development of fresh food e-commerce, sustaining customer loyalty is becoming critical for fresh food e-tailers (FFE) to be competitive. This study aims to investigate how to sustain customer loyalty of FFE in China.

A comprehensive literature review leads to the development of a conceptual model using the American customer satisfaction index (ACSI). This model is then tested and validated through structural equation modelling (SEM) of the survey data in China.

The study reveals that trust and perceived product risk significantly affect customer loyalty. It states that trust is significantly influenced by customer satisfaction and perceived product risk. Furthermore, the study shows that perceived risk of online shopping does not significantly influence customer trust and loyalty.

This study is the first in China for exploring how to sustain customer loyalty of FFE. The findings are significant for FFE to develop customer loyalty by formulating appropriate policies and strategies.

Frequent food safety incidents caused widespread consumer concerns. Even though food safety is one of the weakest links in the fresh food supply chain and influences consumer food choice in ways different from the quality dimension, this factor is hardly proposed as one of the key traditional supplier selection criteria (e.g. quality, delivery, and price) in the literature. The purpose of this paper is to develop a business process decision model to assess the non-compensating food safety sub-criteria in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. The preferred fresh food suppliers can minimize the risk of food safety failure and the associated huge food safety failure costs spanning from private consumer anguish to social distress that cause unbearable costs of sales loss and damage to brand image in business.

This study proposes a novel approach that combines several well-established multi-criteria decision making (MCDM) techniques, including fuzzy AHP (FAHP), TOPSIS, and ELECTRE, and innovatively apply to analyze supplier performance and prioritize potential fresh food suppliers. This hybrid business process model can enforce compliance to all the five non-compensatory sub-criteria of food safety. Since ELECTRE is a non-compensatory MCDM method, it is therefore particularly applicable for disqualifying high risk fresh food suppliers from further full scale supplier performance evaluation by FAHP and TOPSIS. This hybrid business process decision model is able to capitalize on the strengths of these MCDM methods and offset their deficiencies.

This study uses data of an international supermarket chain to validate feasibility of the proposed model. Results indicate that this model is able to assess the non-compensating food safety sub-criteria via the ELECTRE method in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. Only the preferred suppliers with the required food safety capability can proceed to the second stage of the supplier selection process. Assessment via the TOPSIS method reveals the ranking order of those top performing suppliers according to their relative scores along all the supplier selection criteria. The TOPSIS ranking results with the selection of the suppliers C, E, A, and F are robust and consistent across all the different scenarios.

Application to the fresh food industry is possible with the aid of the MCDM methods. The contribution to the body of knowledge in this teaching and research field demonstrates the importance of first identifying the order qualifier for disqualifying those suppliers that do not satisfy the food safety requirements via the ELECTRE method. The proposed assessment procedure complies with the regulatory policy on food safety, and would influence public policy in applying the best practice of food safety regulation. Without first qualifying the potential suppliers on the basis of food safety, wrong decision can be made to select those high food risk suppliers that have relatively higher overall scores in other supplier selection criteria. Using the assessment results has positive economic and commercial impact on the purchasing managers to formulate appropriate purchasing and supplier development strategy to enhance supplier’s food safety performance, whilst maximizing the overall supplier portfolio performance. The improved supplier’s food safety performance will certainly benefit the society’s quality of life as well.

Based on the analytical MCDM methods of FAHP, TOPSIS, and ELECTRE, purchasing managers can operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. This study represents the first move to innovatively apply the FAHP, TOPSIS, and ELECTRE methods to operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. Application to the fresh food industry to validate the feasibility of the proposed model has been conceived and implemented in this study. Analysis of the data inputs of a supermarket chain via the three MCDM methods generate the results that fulfill the purpose of achieving the research objective of identifying and managing the supplier base that can deliver the best supplier performance, conditional on first passing the fresh food safety test.

The fresh food supply chain industry faces significant challenges in risk management because of the complexity, immature development and unpredictable external environment of imported fresh food supply chains (IFFSCs). This study aims to identify specific risk factors in IFFSCs, demonstrate how these risks are transmitted within the system and provide an analytical framework for managing these risks.

A total of 15 risk factors for IFFSCs through extensive literature review and expert consultation are identified and classified into seven levels using interpretive structural modeling (ISM) to demonstrate the risk transmission path. Fuzzy Matrice d’Impacts Croises-Multiplication Appliance Classement (MICMAC) analysis is then used to analyze the role of each factor.

The interactions of the 15 identified risk factors of IFFSCs, classified into seven levels, are visualized using ISM. The fuzzy MICMAC analysis classifies the factors into four groups, namely, dependent, independent, linkage and autonomous factors, and identifies the relatively critical risk factors in the system.

The findings of this research provide a clear framework for enterprises operating in IFFSCs to understand the specific risks they may face and how these risks interact within the system. The fuzzy MICMAC analysis also classifies and highlights critical risk factors in the system to facilitate the formulation of appropriate mitigation measures.

This study provides enterprises in IFFSCs with a comprehensive understanding of how the risks can be effectively managed and a basis for further exploration. The theoretical model constructed is also a new effort to address the issues of risk in IFFSCs. The ISM and the fuzzy MICMAC analysis offer clear insights for researchers and enterprises to grasp complex concepts.