scholarly journals Distributed Ledger Technology Applications in Food Supply Chains: A Review of Challenges and Future Research Directions

2021 ◽  
Vol 13 (8) ◽  
pp. 4206
Author(s):  
Jamilya Nurgazina ◽  
Udsanee Pakdeetrakulwong ◽  
Thomas Moser ◽  
Gerald Reiner

The lack of transparency and traceability in food supply chains (FSCs) is raising concerns among consumers and stakeholders about food information credibility, food quality, and safety. Insufficient records, a lack of digitalization and standardization of processes, and information exchange are some of the most critical challenges, which can be tackled with disruptive technologies, such as the Internet of Things (IoT), blockchain, and distributed ledger technologies (DLTs). Studies provide evidence that novel technological and sustainable practices in FSCs are necessary. This paper aims to describe current practical applications of DLTs and IoT in FSCs, investigating the challenges of implementation, and potentials for future research directions, thus contributing to achievement of the United Nations’ Sustainable Development Goals (SDGs). Within a systematic literature review, the content of 69 academic publications was analyzed, describing aspects of implementation and measures to address the challenges of scalability, security, and privacy of DLT, and IoT solutions. The challenges of high costs, standardization, regulation, interoperability, and energy consumption of DLT solutions were also classified as highly relevant, but were not widely addressed in literature. The application of DLTs in FSCs can potentially contribute to 6 strategic SDGs, providing synergies and possibilities for more sustainable, traceable, and transparent FSCs.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianli Luo ◽  
Yuanxiang Liang ◽  
Yanhu Bai

PurposeThe purpose of this paper is to identify major research topics and propose future research directions for the short food supply chains (SFSCs) by conducting a comprehensive bibliometric analysis.Design/methodology/approachA step-by-step literature review was performed. A total of 684 scientific papers were retrieved from Scopus, dated between 2000 and 2020. Then, content analysis was conducted based on 162 articles selected from the co-citation analysis. Bibexcel and Gephi software were employed to analyse, integrate and visualize the data.FindingsThe results of the descriptive analysis provided insights into publication trends, prominent countries, institutions and journal sources, which had not been fully captured or evaluated by previous reviews. In the citation analysis, the authors determined the highly cited papers based on the global citation. Additionally, in the co-citation analysis, the authors derived six research clusters, identified research gaps in each of six clusters and then suggested possible future research directions.Originality/valueAlthough several reviews have focused on certain aspects of SFSCs, a comprehensive review has been lacking. This study is among the first to comprehensively examine the knowledge structure of SFSCs research by using rigorous bibliometric analysis. More importantly, the future lines presented here offer potential insights for SFSCs researchers and policymakers.


Author(s):  
Abderahman Rejeb ◽  
Karim Rejeb ◽  
Suhaiza Zailani

AbstractResearch on agri-food supply chains (AFSCs) has attracted significant attention in recent years due to the challenges associated with sustainably feeding the global population. The purpose of this study is to review the potentials of big data for sustainable AFSCs. One hundred twenty-eight (128) journal articles were selected to identify how big data can contribute to the sustainable development of AFSCs. As part of our focus, a framework was developed based on the conceptualization of AFSCs in the extant literature to analyse big data research in the context of AFSCs and to provide insights into the potentials of the technology for agri-food businesses. The findings of the review indicate that there is a noticeable growth in the number of studies addressing the applications of big data for AFSCs. The potentials of big data for AFSC sustainability were synthesized in a summary framework, highlighting the primary resources and activities that are ready for improvement with big data. These include soil, water, crop and plant management, animal management, waste management and traceability management. The challenges of big data integration in AFSCs, the study’s implications, contributions, and the future research directions are highlighted in detail.


Author(s):  
Xiongyong Zhou ◽  
Zhiduan Xu

The food traceability system (TS) provides visual services for consumers by recording every operation procedure of food supply, processing, marketing as well as distribution throughout the supply chain. This study aims to review the academic papers which are related to food supply chain traceability (FSCT) and proposes a framework for future research. To do this, we carry out a systematic literature review of 278 peer-reviewed scientific literature published between 1994 and September 2019. By classifying the FSCT into pre-study and post-study of TS implementation, this study reveals a number of future research directions of FSCT based on thematic findings and points out that the focus on such issues has shifted to the post-adoption study of TSs. This study further categorizes nine specific research topics from past literature and identifies specific opportunities of each theme for future research.


2022 ◽  
Author(s):  
Farkhanda Zafar ◽  
Hasan Ali Khattak ◽  
Moayad Aloqaily ◽  
Rasheed Hussain

Owing to the advancements in communication and computation technologies, the dream of commercialized connected and autonomous cars is becoming a reality. However, among other challenges such as environmental pollution, cost, maintenance, security, and privacy, the ownership of vehicles (especially for Autonomous Vehicles (AV)) is the major obstacle in the realization of this technology at the commercial level. Furthermore, the business model of pay-as-you-go type services further attracts the consumer because there is no need for upfront investment. In this vein, the idea of car-sharing ( aka carpooling) is getting ground due to, at least in part, its simplicity, cost-effectiveness, and affordable choice of transportation. Carpooling systems are still in their infancy and face challenges such as scheduling, matching passengers interests, business model, security, privacy, and communication. To date, a plethora of research work has already been done covering different aspects of carpooling services (ranging from applications to communication and technologies); however, there is still a lack of a holistic, comprehensive survey that can be a one-stop-shop for the researchers in this area to, i) find all the relevant information, and ii) identify the future research directions. To fill these research challenges, this paper provides a comprehensive survey on carpooling in autonomous and connected vehicles and covers architecture, components, and solutions, including scheduling, matching, mobility, pricing models of carpooling. We also discuss the current challenges in carpooling and identify future research directions. This survey is aimed to spur further discussion among the research community for the effective realization of carpooling.


Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Abdul Rehman Khan ◽  
Pablo Ponce

PurposeAt the end of 2019, the first case of the Corona Virus Disease (COVID-19) was reported in Wuhan city of China. The disease was declared a pandemic without imagining the magnitude of damage currently caused in all branches of the economy. One of the most affected sectors was food and mostly perishable food (PF), which are more susceptible to environmental conditions. Thus, the research examines the effect of the COVID-19 outbreak on Ecuador's perishable food supply chains (PFSCs) during the pandemic. It contributes to new results on the special issue (SI) PFSC response to event risk and uncertainty, such as those that generated the pandemic.Design/methodology/approachThe data used are from primary information sources, which were collected through a questionnaire. The questionnaire was applied to 298 companies belonging to the sector, and later the information was processed through partial least squares structural equation model. The convergent validity, discriminate and robustness tests provide arguments for the suitability of the model. Therefore, the findings are reliable and valid for the adequate measures to improve the PFSC due to a COVID-19 outbreak.FindingsThe results show that the perception of personal risk (PPR) produced by COVID-19 has caused the companies of the PFSC to adopt preventive policies (PO) to avoid contagion and guarantee the operation of the companies. In addition, the PPR has been responsible for the alterations in the demand and price (DP) of PF. Next, PO and DP have a significant effect on PFSC, which shows the evidence favouring the malfunction of PFSC operations due to anti-contagion PO, the mismatch of DP. On the contrary, circular economy practices contribute to the excellent performance of the PFSC. Finally, the research suggests some policy implications to consider in improving the PFSC.Originality/valueThis study is the first to be carried out in Ecuador's country on the PFSC; its contribution is unprecedented and makes it a road-map to be considered to guarantee the correct functioning of the PFSCs, and it will provide policymakers with valid elements to design efficient PFSCs that better respond to unforeseen events and uncertainties. Future research will focus on analysing the management of PF consumption in Ecuador during the pandemic.


2014 ◽  
Vol 10 (2) ◽  
pp. 78-95 ◽  
Author(s):  
Karen Smith ◽  
Francis Mendez ◽  
Garry L. White

A model is developed and tested to explain the relationships among narcissism, privacy concern, vigilance, and exposure to risk on Facebook, with age and gender as controlling variables. Two important constructs are conceptualized and measured in this research. Facebook exposure is defined as the opportunity for privacy and security breaches on Facebook. Facebook vigilance is the extent to which consumers stay focused, attentive, and alert to potential security and privacy risks on Facebook by restricting who can access and post to their Facebook accounts. Data from a survey of 286 adult Facebook users in the U.S. support the hypothesized relationships in the model. Results suggest that narcissism is related to increased Facebook exposure and lower Facebook vigilance, despite greater stated concern for privacy and security. Furthermore, females and younger users have greater risk exposure compared to males and older users. Implications of the findings and future research directions are discussed.


Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 52
Author(s):  
Tuğçe Taşkıner ◽  
Bilge Bilgen

This paper provides a comprehensive review of the research done on optimization models that focus on harvest and production planning for food crops. Optimization models have been used extensively in providing insights to decision-makers on issues related to harvest and production planning in agri-food supply chains. First, we conduct an extensive literature review on previous survey articles to distinguish our research from others. Based on the previous reviews, a new classification scheme is developed to classify articles systematically. Harvest and production planning problems in agri-food supply chains are analyzed through three sections: problem scope, model characteristics, and modeling approach. Neglected problem topics and several promising research directions are presented to stimulate research interest on agri-food supply chains specifically planning of harvest and production.


Author(s):  
Mohammed Fisal Abu Khaled

This chapter intends to document the various ways that the nascent technology, blockchain, and other forms of distributed ledger technology (DLT) can provide both increased and decreased risk as well as offer FinTech industries a fertile environment to pursue key technological advancements that can help shape almost every facet of the financial world. Issues of trust, transparency, and privacy will be explored as it pertains to the execution of blockchain technology within financial sectors. Strengths and weakness will be explored within regulations, legal environments, risk management, and the environment. Based on the findings of a comprehensive literature review, possible solutions and recommendations will be provided for governmental agencies, regulators, and users of financial services with a special focus on Islamic FinTech. Future research directions will also be shared that can assist Islamic FinTech.


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