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This paper aims to study the main requirements of traceability and examine how the technology of radio frequency identification (RFID) technology can address these requirements. It further seeks to outline both an information data model and a system architecture that will make traceability feasible and easily deployable across a supply chain.

The design research approach is followed, associating traceability requirements to a proposed system design.

The technological approach used has great implications in relation to the cost associated with a traceability system and the ease of its deployment.

Validation of the proposed information data model and system architecture is required through practical deployment in different settings.

The paper provides practitioners with insight on how RFID technology can meet traceability requirements and what technological approach is more appropriate.

Food quality has become an important issue in the last decade. However, achieving end‐to‐end traceability across the supply chain is currently quite a challenge from a technical, a co‐ordination and a cost perspective. The paper contributes by suggesting a specific technological approach, exploiting the new possibilities provided by RFID technology, to address these issues.

The purpose of this paper is to investigate legal effects on social sustainability practices at buying firms. The US Dodd-Frank Act has forced listed companies to determine the degree to which their products contain conflict minerals (CM). The research question this study seeks to answer is the following: which factors influence a company’s ability to determine the provenance of its inputs?

The study examines secondary data in the form of CM reports of 50 US listed firms for two consecutive years using a fuzzy set qualitative comparative analysis (fsQCA) approach.

This study identifies different configurations of stakeholder salience and firm resources that lead individual companies to achieve high levels of traceability. Findings show that firms’ CM governance mechanisms are a key determinant in the firms’ capacity to meet regulatory traceability requirements. Further, the authors find that both the presence and absence of specific stakeholder pressures and firm resources can lead to traceability. Findings also suggest that firms can achieve traceability without any pressure from stakeholders.

The study investigates the practices of individual firms that are subject to the Dodd-Frank Act, rather than adopting a supply chain-wide perspective. Further, proxies had to be used to measure several constructs because of reliance on firms’ reporting, which implies that the study did not account for certain behavioral factors that influence traceability.

This study provides managers of both resource-rich and less resource-rich firms with possible pathways for achieving CM traceability.

The study contributes to the field of sustainability by providing exploratory insights into the antecedents of traceability and deriving theoretical propositions to guide further research. The authors apply fsQCA to investigate secondary data over multiple years, thus using a novel configurational methodology.

The purpose of this paper is to review the agriculture supply chain (ASC) literature along many dimensions which include but are not restricted to scope, objective, wastages, driver, obstacle, outcome, etc.

In total, 203 relevant and scholarly articles of various researchers and practitioners during 2000-2016 were reviewed. The information related to definition, research methodology, global research spread, supply chain strategy, various types of produce, author profile and year of publication of ASC were collected and analysed.

The information related to empirical research and viewpoint of various ASC drivers were captured, studied and analysed in detail. Although inventory policy, demand forecasting and ASC integration were found to be important areas of ASC, they were less focused, studied and researched.

Mainly post-harvest ASC of different agricultural produces were considered whereas products such as dairy, fishery and meat supply chains were not included in the study.

The paper provides an insight into various aspects of ASC in general and one can get a deeper and richer knowledge on it which will help in formulating effective strategies to design of an effective and efficient ASC. It uncovers the research gaps for the new future research paths. This systemic review is strongly felt to fill the gap in the ASC literature.

The purpose of this paper is to identify various risk drivers which affect a food processing supply chain and to create a map of how those risk drivers propagate risks through the supply chain and impact important performance measures.

This study involves experts from food processing companies to elucidate the contextual relationships among the risk drivers and between risk drivers and performance measures. This is used to quantify the relationships and to determine the indirect and overall relationships applying Fuzzy Interpretive Structural Modeling.

Three categories of risk drivers which Indian food processing companies need to pay maximum attention to minimize risks are identified. These are supplier dependency and contracting, supplier variability, visibility and traceability and manufacturing disruptions. Analysis shows that collaborating with suppliers and logistics service providers, developing mutually beneficial contracts with them while ensuring that adequate technology investments are made can significantly mitigate risks and consequently improve margins and lead to revenue growth.

This study has been carried out with experts from large food processing companies in India, and hence, the results cannot be generalized across other types of food processing companies.

The proposed methodology can help understand the interrelationships between supply chain risks and between those risks and performance measures. Thus, it can help a food processing company to create business cases for specific supply chain risk mitigation projects.

This study is one of the earliest to create a comprehensive risk propagation map for food processing companies which helps in quantifying the impact the risk drivers have on each other and on performance measures.

The purpose of this paper is to create an instrument for conducting future supply chain transparency research by developing and validating a measure of supplier transparency. Specifically, the research develops a two-dimensional measure of supplier transparency that builds on previous studies that independently examine visibility and traceability in supply chain management (SCM)/logistics.

The scale development process is carried out over three stages (item generation, scale purification, scale validation). Survey methods are used with two separate data collection phases involving a total of 358 managers from multiple and diverse industries.

The new supplier transparency measure is a concise, two-dimensional scale that has the potential for significant usage in the development and testing of SCM theory.

This study implemented a purposefully general sampling procedure. However, different industries may have additional, specific constraints regarding what it means to be a transparent supplier. Additional opportunities for future research include applying the new supplier transparency measure to examine supply chain frameworks, regulatory compliance, supply chain relationships and the implementation of information technology.

Firms are under increasing pressure to be transparent about partner sourcing, resource utilization and other transactional issues related to the products and processes in their supply chains. The new measure may be utilized to address these issues as well as the interaction between supply chain operations and stakeholders by facilitating a quantitative assessment of supplier transparency.

Drawing on the established constructs of supply chain visibility and traceability, a measure of supplier transparency is developed, supported by a review of the literature, input from subject matter experts and interviews with supply chain managers. Suggestions are made for future validation of supplier transparency within established supply chain frameworks.

The purpose of this paper is to present a quantitatively supported explanation of the intellectual development, the schools of thought and the sub-areas of the food cold chain (FCC) research to derive meaningful avenues for future research.

This study builds on bibliometric analysis and network analysis to systematically evaluate a sample of 1,189 FCC articles published over the past 25 years. The descriptive statistics and science mapping approaches using co-citation analysis were performed with VOSviewer software.

The findings reveal a state-of-the-art overview of the top contributing and influential countries, authors, institutions and articles in the area of FCC research. A co-citation analysis, coupled with content analysis of most co-cited articles, uncovered four underlying research streams including: application of RFID technologies; production and operation planning models; postharvest waste, causes of postharvest wastage and perishable inventory ordering polices and models; and critical issues in FCC. Current research streams, clusters and their sub-themes provided meaningful discussions and insights into key areas for future research in FCC.

This study might reshape practitioners’, researchers’ and policy-makers’ views on the multifaceted areas and themes in the FCC research field, to harness FCC’s benefits at both strategic and tactical level. Finally, the research findings offer a roadmap for additional research to yield more practical and modeling insights that are much needed to enrich the field.

The purpose of this paper is to investigate the variables for the non-existence of transparency information in red meat supply chains operating in Gulf cooperation council (GCC) countries. The study provides a synthesis and proposes a hierarchy-based model among the identified inhibitors of transparency with their respective importance.

The synthesis and prioritization of inhibitors are done on the basis of an extensive literature review as well as consultation with academicians and meat supply chain professionals. Using semi-structured interviews and Fuzzy-Interpretive Structure Modeling (F-ISM) approach, the research presents a structured model of the identified inhibitors.

The research has two major contributions, first, it presents variables that can be considered as inhibitors for transparency in a supply chain. Second, utilizing the F-ISM model it shows that there exists a group of inhibitors having a high control power and low reliance and are of strategic importance. These variables require utmost attention to make implementation of transparency initiatives to be successful.

At a time when management of red meat supply chain is crucial for the food security in the GCC region, these findings will be immensely helpful for the government and industry professionals in developing suitable policies to regulate the red meat supply chains. The study would be particularly relevant when the upstream side is in a developing nation and the need is to avoid any health hazards resulting from the consumption of contagious meat and jeopardize the whole supply chain.

Cases of discarding plausible contagious meat into sea or abandoning it in open to create environment hazards can be minimized if transparency is implemented in meat supply chain by considering the variables and their relationships discussed in the research.

Key issues related to transparency in a food supply chain are discussed and interconnectedness of critical factors for the red meat supply chain are delineated.

This paper aims to present an emergent framework that proposes the strategic importance of supply chain (SC) traceability beyond the traditional role in supporting product safety, recalls and sustainability initiatives.

A grounded theory (GT) approach with 22 in-depth interviews with managers from 10 countries/territories and 3 different echelons of the food SC is employed to arrive at the strategic traceability framework and framework's propositions.

The framework suggests that traceability can sometimes help expose and modify firms' core and non-core SC capabilities and provide an opportunity to align them better with SC strategies. This alignment may require a complementary execution of human coordination and the adoption of technological traceability components.

The research suggests that firms may be able to extract greater value from the firms' traceability investments. While traceability continues to serve the key purposes of preventing and mitigating the risks of recalls, this can sometimes illuminate sustained business growth opportunities.

The study extends traceability beyond a means to meet the requirements of product safety, recalls and sustainability. Rather, this study establishes traceability's role in exposing and aligning firms' capabilities for business gain and not merely recall risk mitigation. This reframing of the premise for traceability can invigorate both research and practice on the subject of traceability.

Presented work gives comparative review of food supply chain (FSC) under various notions related to its conceptualisation, operationality and technological advancements in lieu with Industry 4.0 revolution. In Indian scenario, the impression of FSC seems in a scattered way that cannot be directly useful for an organisation, to overcome this scattering, a framework has been developed to consolidate the previous research works and exploration of new trends in food supply chain management (FSCM) in context to Indian scenario.

This article encapsulates the essence of various research articles and reports retrieved from databases of Emerald and Elsevier's Science direct, clustering the various notions related to FSC in Indian context. To visualise the one-sight view of related works, a pictorial representations have also been appended.

This article explains the general aspect of FSC and its linkage in context to Indian system. Presented work outlays both empirical and theoretical approaches trending from last 15 years. As research count in context to Indian FSC is lacking, so this work will be a road map for expedition in direction of FSCM, in era of research.

Findings and suggestion in this work can expanded in various industries related to food, helping to turn their fortune and enrichment of Indian FSC.

Food is binding word for all the commodities, and its effective supply chain management is a big boon for economy of country along with large employment generation for people directly/indirectly associated with this industry. This article covers a generalise approach from ground level framework to a level of advancement which fulfil technological aspects, future needs and upcoming trends in lieu to need of developing nation.

As limited research is done in Indian FSCM, this work to bridge this gap along with a well-defined framework which going to explore FSC. This work is going to be facilitation for researchers of this area as no major review for Indian context has not been published.

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future.

A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper.

This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future.

This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research.

Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM.

As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain.

This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.