Effective sourcing strategies for perishable product supply chains

Process ambidexterity driven by environmental uncertainty: balancing flexibility and routine

Purpose

This study aims to extend ambidexterity theory from the perspective of organisational learning and examine how process ambidexterity, which comprises operational flexibility and operational routine, responds to environmental uncertainty and ultimately reduces organisational risks.

Design/methodology/approach

This study tests the hypotheses by analysing 464 annual reports of 115 listed companies in the Chinese agricultural and food industry using content and secondary data analyses. Four case studies are also provided.

Findings

The results show that (1) environmental uncertainty has a positive effect on either operational flexibility or operational routine; (2) both operational flexibility and operational routine have negative effects on organisational risks, supporting the view that process ambidexterity mediates the relationship between environmental uncertainty and organisational risks; and (3) organisational slack plays the role of “double-edged sword” by negatively moderating the effect of environmental uncertainty on operational flexibility and positively moderating the effect of environmental uncertainty on operational routine.

Originality/value

In an uncertain environment, companies are exposed to greater risk. This study contributes to risk management in three ways: first, it extends ambidexterity theory to process management and proposes how process ambidexterity balances operational flexibility and routines. Second, it distinguishes between the different conditions under which flexibility or routines are superior. Third, it explains the mechanisms related to how organisations can resolve environmental uncertainty into risk through process ambidexterity.

Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis

The Industry 4.0 (I4.0) concept paves the way for the circular economy (CE) as advanced digital technologies enable sustainability initiatives. Hence, I4.0-driven CE-oriented supply chains (SCs) have improved sustainable performance, flexibility and interoperability. In order to smoothly embrace circular practices in digitally enabled SCs, quantitative techniques have been identified as crucial. Therefore, the intersection of I4.0, CE, supply chain management (SCM) and quantitative techniques is an emerging research arena worthy of investigation. This article presents a bibliometric analysis to identify the established and evolving research clusters in the topological analysis by identifying collaboration patterns, interrelations and the studies that significantly dominate the intersection of the analysed fields. Further, this study investigates the current research trends and presents potential directions for future research. The bibliometric analysis highlights that additive manufacturing (AM), big data analytics (BDA) and the Internet of Things (IoT) are the most researched technologies within the intersection of CE and sustainable SCM. Evaluation of intellectual, conceptual and social structures revealed that I4.0-driven sustainable operations and manufacturing are emerging research fields. This study provides research directions to guide scholars in the further investigation of these four identified fields while exploring the potential quantitative methods and techniques that can be applied in I4.0-enabled SCs in the CE context.

An integrated literature review on sustainable food supply chains: Exploring research themes and future directions

The sustainable food supply chain (SFSC) is a research area of global significance. The increasing number of research articles in SFSC justifies this. With 80% of publications in SFSC coming up in the last 7 years, this field is expanding and diversifying at a rapid rate. The research on sustainable food supply chain (SFSC) covers a wide variety of areas and has a wide range of research themes in FSC. To facilitate the theoretical understanding of SFSC, we have conducted a review of the literature on SFSC. With the aim to define prominent research themes in SFSC, we follow an integrated review approach of structured literature review (SLR), bibliometric analysis, and thematic analysis. Bibliometric analysis was conducted using the vosviewer software version 1.6.16. The thematic analysis identified- "Waste management", "SC sustainability and impact assessment", "Decision support", "Operations management and optimization", "Food quality and safety", "Sustainable business models", "Innovation and technological solution", "SC strategy", and "Social sustainability" as the key emergent themes. We discuss the conceptual and theoretical basis of each of these themes. "SC sustainability and impact assessment" is identified as the most dominant theme in SFSC. Innovation and technological solution is an emerging theme with many new publications related to disruptive technologies coming up. Research in collaboration and decision theory-based approaches is important to enable sustainability in FSC. Quantifying waste streams, identifying hotspots are important future directions of research in SFSCM. Circular economy, AFSC, and the use of advanced technologies to enable circularity and sustainability also have great scope. The review aims to help researchers and academicians understand the boundaries and domain of SFSC and the future scope of these themes about how they can enhance the sustainability in SFSC.

Modeling the key factors influencing the reduction of food loss and waste in fresh produce supply chains

The purpose of this study is to develop a comprehensive framework by identifying and analyzing the key factors influencing the reduction of food loss and waste (FLW) in fresh produce supply chains (FPSCs) in developing countries, specifically India. This empirical study has identified eight influencing factors, representing the given context, from the literature (using content analysis) under the purview of management theories (namely, stakeholder theory, capabilities-based theory, and critical success factors theory) as well as data collected through semi-structured interviews from a group of selected experts. Further, Interpretive Structural Modeling (ISM) technique and Matriced' Impacts Croise's Multiplication Appliquée an un Classement (MICMAC) analysis are used as an integrated method to analyze the identified factors. Regulatory bodies and food policy along with market infrastructure are the most significant factors and have a high tendency to influence the reduction of FLW in FPSCs; therefore, require utmost consideration. The findings of this study are expected to enable managers and policy makers to uncover and understand the key factors. The insights from the findings will help in formulating policies and making strategic decisions regarding the reduction of FLW in FPSCs which will help in attaining sustainable development goals target on FLW.

Value Proposition for Sustainable Last-Mile Delivery. A Retailer Perspective

The sustainability of last-mile (LM) freight delivery is crucial to add value to the stakeholders in the distribution chain. However, its achievement is often hindered by a poor consideration of their needs by both literature and practice. The goal of this paper is to address the point of view of local retailers by exploring their needs about innovative LM delivery services and identifying sustainable value propositions (VP). A survey was submitted to retailers operating in the limited traffic zone of Torino (Italy). The survey data were analyzed by a factor analysis using a principal component analysis (PCA) to extract the factors. A correlation analysis was also conducted between the needs and selected contextual variables. The results show that retailers accept higher costs for more reliable deliveries and stock reduction. Retailers also correlate punctuality and flexibility because flexible and on-time deliveries allow for better inventory management, higher control, and, in turn, improved customer service level. This work is one of the first research attempts to quantify local retailers’ LM delivery needs and provides guidelines about how to design value-added logistics services. Moreover, from a practical point of view, the analysis shows the main VP that managers and practitioners should consider in the development of LM initiatives.

A Conceptual Framework to Analyze Food Loss and Waste within Food Supply Chains: An Operations Management Perspective

Alongside the development of the circular economy and sustainable food supply chains (FSCs), research on food loss and waste (FLW) reduction and prevention has drawn much attention from academia, practitioners, and governments. The significance of FLW has been highlighted in the literature due to its impact on society, economy, and the environment. We propose a conceptual framework to systematically examine FLW issues within FSCs in the field of operations management (OM). We discuss various types and distribution modes of FSCs where FLW occurs, definitions of FLW, the impacts of FLW, and measures to reduce FLW in the OM field. We further introduce the methodologies that have been applied in existing FLW studies. The contribution of this paper is threefold. First, it proposes a conceptual framework to identify FLW problems within FSCs. Second, it helps to comprehensively understand FLW occurrence and thus stimulate research focusing on FLW from different perspectives. Third, it motivates researchers to discuss FLW issues by applying different methodologies.

Defining Food Supply Chain Management — A Study Based on a Literature Survey

There is a need to understand food supply chain management (FSCM) with the help of a process-oriented comprehensive definition and consider complex tasks involved therein. The study identifies FSCM and supply chain management’s basic definitions and focuses on a systematic literature review. None of the identified previously proposed definitions of FSCM has comprehensively covered all the significant operational issues in FSCM. Thus, the study further undertook the mapping of identified definitions with six key focusses in FSCM identified through the literature survey. This study systematically proposes a comprehensive definition of FSCM. Findings suggested that “Quality management” includes safety and traceability of the food product and “Sustainable Management,” including proper waste management as the most critical focus in FSCM. This study proposes a comprehensive FSCM definition comprising key managerial that focuses on the food supply chain (FSC). The literature survey is done with 160 selected papers and has subjectivity in mapping and analysis. This definition seems essential for theory building, as none of the available definitions has included all the dominant characteristics of FSCM. A comprehensive definition of FSCM would act as a reference point for supply chain-based research on the food sector.

Fields of Action for Designing Measures to Avoid Food Losses in Logistics Networks

The literature contains many analyses of measures against food loss. However, there exists no structured analysis of the objective of these measures. This study employs a systematic literature analysis and open expert interviews, combining the perspectives of science and practice. For each analyzed case, we identified the objectives behind the implemented measures. Using qualitative clustering, we categorized the located objectives into fields of action. The identified 13 fields of action provide an overview of the objectives of food loss prevention measures. The results indicate that different levels of importance can be assigned to these fields of action. In particular, the results show the relevance of increased network cooperation and transparency within a company and along the entire value chain. Furthermore, the study indicates that the creation of transparency provides the greatest overall added value in terms of reducing food losses.

Decision-making in cold chain logistics using data analytics: a literature review

Purpose

The purpose of the paper is to identify the multiple types of data that can be collected and analyzed by practitioners across the cold chain, the ICT infrastructure required to enable data capture and how to utilize the data for decision making in cold chain logistics.

Design/methodology/approach

Content analysis based literature review of 38 selected research articles, published between 2000 and 2016, was used to create an overview of data capture, technologies used for collection and sharing of data, and decision making that can be supported by the data, across the cold chain and for different types of perishable food products.

Findings

There is a need to understand how continuous monitoring of conditions such as temperature, humidity, and vibration can be translated to support real-time assessment of quality, determination of actual remaining shelf life of products and use of those for decision making in cold chains. Firms across the cold chain need to adopt appropriate technologies suited to the specific contexts to capture data across the cold chain. Analysis of such data over longer periods can also unearth patterns of product deterioration under different transportation conditions, which can lead to redesigning the transportation network to minimize quality loss or to take precautions to avoid the adverse transportation conditions.

Research limitations/implications

The findings need to be validated through further empirical research and modeling. There are opportunities to identify all relevant parameters to capture product condition as well as transaction data across the cold chain processes for fish, meat and dairy products. Such data can then be used for supply chain (SC) planning and pricing products in the retail stores based on product conditions and traceability information. Addressing some of the above research gaps will call for multi-disciplinary research involving food science and engineering, information technologies, computer science and logistics and SC management scholars.

Practical implications

The findings of this research can be beneficial for multiple players involved in the cold chain like food processing companies, logistics service providers, ports and wholesalers and retailers to understand how data can be effectively used for better decision making in cold chain and to invest in the specific technologies, which will suit the purpose. To ensure adoption of data analytics across the cold chain, it is also important to identify the player in the cold chain, which will drive and coordinate the effort.

Originality/value

This paper is one of the earliest to recognize the need for a comprehensive assessment for adoption and application of data analytics in cold chain management and provides directions for future research.

Risk analysis and mitigation for perishable food supply chain: a case of dairy industry

Purpose

The purpose of this paper is to present a methodology to analyze the risks present in perishable food supply chain and to determine the most effective risk mitigation strategies. It is achieved by understanding the dynamics between various risks in perishable food supply chain and modeling them using interpretive structural modeling (ISM).

Design/methodology/approach

Four categories and 17 types of risk are established from literature and conducting brainstorming sessions with managers/engineers in Indian dairy firms. A methodology is proposed using ISM, risk priority number and risk mitigation number to prioritize risk mitigation strategy decisions for the dairy industry.

Findings

For a perishable food supply chain, risk positioned at lower levels (levels 1 or 2) in the hierarchy should be targeted first, while formulating mitigation strategies. To investigate further, risk- enabling factors which are identified for an Indian dairy firm for these levels 1 and 2 risks and mitigation strategy prioritization show that supplier side risks are more dominant followed by market risks and process risks.

Research limitations/implications

This proposed methodology has not been statistically validated or empirically tested, and factors taken are in the Indian context, but the authors believe that the study is highly relevant to other markets as well because the ISM-based analysis is for generic perishable food supply chain environment.

Practical implications

This study provides a useful approach to managers/decision makers to identify, analyze and prioritize risk in the supply chain. It also provides insights into the mutual relationships of supply chain risks which would help them to focus on the effective risk mitigation strategies formulation. The study provides the insights to benchmark and risk management in the dairy industry environment with priority considerations.

Originality/value

This paper provides an integrated approach to identifying, quantify, analyze, evaluate and mitigate the risks of perishable food (in the dairy environment) in the Indian context.

Perishable food supply chain quality (PFSCQ)

Purpose

– The purpose of this paper is to provide a literature review of the perishable food supply chain quality (PFSCQ). It includes all the products/process from the farm to folk of perishable food (milk, meat, vegetable, grains and butter).

Design/methodology/approach

– The methodology of a structured literature review involves selection of a representative sample of articles followed by classification of articles on the basis of research methodology and content of PFSCQ in the paper.

Findings

– Research toward PFSCQ has risen in last five years. Fewer articles are addressing issues of developing countries then developed countries. Majority of the articles involved multiple as entity of analysis (combination of supplier, distributor, manufacturer, retailer and consumer), information as element of exchange and chain as the level of analysis. A large number of articles involved “agri-food,” “dairy” and “pork” as perishable products. Majority of articles used “case study” methodology. Statistical analysis as a tool for problem solving was used in majority of articles. Performance measurement aspect is also on growth in PFSCQ literature. Information sharing, logistic management, strategic management, demand forecasting and integration among the various stakeholders of PFSCQ are some of the critical issues.

Originality/value

– Many literature reviews that aim at critical examination of supply chain literature are reported but none of them focussed exclusively on content of PFSCQ. Another unique feature of this paper is that the sample size of articles with respect to number of papers (481 papers) as well as number of journals (141 journals) is quite large. The paper spans a longer time span of 20 years (1994-2013) as well.