scholarly journals Implementing Bayesian networks for ISO 31000:2018-based maritime oil spill risk management: State-of-art, implementation benefits and challenges, and future research directions

2021 ◽  
Vol 278 ◽  
pp. 111520
Author(s):  
Tuuli Parviainen ◽  
Floris Goerlandt ◽  
Inari Helle ◽  
Päivi Haapasaari ◽  
Sakari Kuikka
2020 ◽  
Vol 31 (4) ◽  
pp. 387-416
Author(s):  
Marcus Vinicius Carvalho Fagundes ◽  
Eduardo Oliveira Teles ◽  
Silvio A B Vieira de Melo ◽  
Francisco Gaudêncio Mendonça Freires

Abstract The modelling of supply chain risk management (SCRM) has attracted increasing attention from researchers and professionals. However, a systematic network analysis of the literature to understand the development of research over time is lacking. Therefore, this study reviews SCRM modelling and its evolution as a scientific field. We collected 566 papers published in the Scopus database and shortlisted 120 for review. We have analysed the field's performance, mapped the most influential studies, as well as the generative and evolutionary research areas, and derived future research directions. Using bibliometric methods and tools for citation network analysis to understand the field's dynamic development, we find that five generative research areas provide the fundamental knowledge for four evolutionary research areas. The interpretation of gaps and trends in these areas provides an SCRM modelling timeline with 14 future research directions, which should consider adopting a holistic SCRM approach and developing prescriptive and normative risk models. The holistic approach enables more research on key factors—like process integration, design, information risk, visibility and risk coordination—that directly impact industry, decision-makers and sustainability needs. Risk models with evolved prescriptive and normative typology should respect both business model strategies and actual supply chain performance.


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.


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.


Author(s):  
Jyotismita Chaki ◽  
Nilanjan Dey

: A huge amount of medical data is generated every second, and a significant percentage of them are images that need to be analyzed and processed. One of the key challenges in this regard is the recovery of medical images. The medical image recovery procedure should be done automatically by the computers that are the method of identifying object concepts and assigning homologous tags to them. To discover the hidden concepts in the medical images, the low-level characteristics should be used to achieve high-level concepts and that is a challenging task. In any specific case, it requires human involvement to determine the significance of the image. To allow machine-based reasoning on the medical evidence collected, the data must be accompanied by additional interpretive semantics; a change from a pure data-intensive methodology to a model of evidence rich in semantics. In this state-of-art, data tagging methods related to medical images are surveyed which is an important aspect for the recognition of a huge number of medical images. Different types of tags related to the medical image, prerequisites of medical data tagging, different techniques to develop medical image tags, different medical image tagging algorithms and different tools that are used to create the tags are discussed in this paper. The aim of this state-of-art paper is to produce a summary and a set of guidelines for using the tags for the identification of medical images and to identify the challenges and future research directions of tagging medical images.


2017 ◽  
Vol 28 (4) ◽  
pp. 1123-1141 ◽  
Author(s):  
Quan Zhu ◽  
Harold Krikke ◽  
Marjolein C.J. Caniëls

Purpose Supply chain risks specifically refer to risks that transmit among supply chain members, thus they should be understood and managed as a whole for an end-to-end supply chain. The purpose of this paper is to review literature of integrated supply chain risk management (ISCRM) that connects supply chain integration (SCI) with supply chain risk management. Design/methodology/approach The systematic literature review methodology was used to select and categorize articles between 1998 and 2015 in peer-reviewed journals. A contingency analysis was further applied to detect association patterns and links between category items. Findings Through a systematic literature review, the research has clearly analyzed risk sources, scopes and dimensions of SCI, and scopes and dimensions of performance in the field of ISCRM. Furthermore, by applying the contingency analysis, the paper has proposed future research directions that are based on the extant literature findings. Originality/value The identified insights, gaps, and future research directions will encourage researchers as well as managers to drive the development of ISCRM.


Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1468 ◽  
Author(s):  
James McCoy ◽  
Danda B. Rawat

Despite the immense benefits offered by the utilization of unmanned aerial vehicles (UAVs) in civilian and military applications, significant work needs to be done to ensure that these systems are able to securely communicate and resiliently operate to accomplish the mission. As the UAVs grow with their popularity and usability for different applications, there is a dire need to ensure that UAVs and their networks are capable of mitigating cyber-attacks on the fly. One approach that has gained considerable popularity is Software-Defined Networking (SDN) based solutions. SDN is a networking paradigm that has gained attention due to its dynamic flexibility to program networks and increase network visibility, and its potential to assist in the mitigating security vulnerabilities in the network including the network of UAVs. This article provides an overview of recent advances, and current state of art related to security vulnerabilities and SDN enabled countermeasures. This paper also presents a comparison of different approaches in a tabular form and a discussion of challenges and future research directions with respect to UAV security.


Author(s):  
Yiyi Fan ◽  
Mark Stevenson

Purpose The purpose of this paper is to review the extant literature on supply chain risk management (SCRM, including risk identification, assessment, treatment, and monitoring), developing a comprehensive definition and conceptual framework; to evaluate prior theory use; and to identify future research directions. Design/methodology/approach A systematic literature review of 354 articles (published 2000-2016) based on descriptive, thematic, and content analysis. Findings There has been a considerable focus on identifying risk types and proposing risk mitigation strategies. Research has emphasised organisational responses to supply chain risks and made only limited use of theory. Ten key future research directions are identified. Research limitations/implications A broad, contemporary understanding of SCRM is provided; and a new, comprehensive definition is presented covering the process, pathway, and objectives of SCRM, leading to a conceptual framework. The research agenda guides future work towards maturation of the discipline. Practical implications Managers are encouraged to adopt a holistic approach to SCRM. Guidance is provided on how to select appropriate risk treatment actions according to the probability and impact of a risk. Originality/value The first review to consider theory use in SCRM research and to use four SCRM stages to structure the review.


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