COVID-19, Digital Transformation of Banks, and Operational Capabilities of Commercial Banks

The development of financial technology has promoted the innovation and digital transformation of commercial banks. Through digital transformation, commercial banks can improve bank efficiency and operational capabilities. Through empirical analysis, this study explored the relationship between digital bank transformation and commercial bank operating capabilities and how COVID-19, bank categories, and enterprise life cycles affect the relationship between digital bank transformation and commercial bank operating capabilities. This study selected data from China's commercial banks from 2011 to 2021 and used the regression method of fixed effects to conduct an empirical analysis. The research results show that the digital transformation of banks has improved the operational capabilities of commercial banks. Further analysis showed that the emergence of COVID-19 has negatively affected their relationship. At the same time, compared with rural commercial banks and commercial banks in the recession and phase-out periods, non-rural commercial banks and commercial banks in the growth and maturity stages play a more vital moderating role in the impact of the digital transformation of banks on the financial performance of commercial banks. The main research object of this study is Chinese commercial banks, and this study examines the results of banks' digital transformation and enriches the research on digital transformation. At the same time, this study is helpful to investors who like investment banks and has good practical significance.

The opportunity for massage therapy development for relieving long COVID symptoms: a literature review

The COVID-19 pandemic situation affected population health and lifestyle not only for a short period but also long period. Long COVID symptoms is a long-term illness after COVID condition. Long COVID symptoms greatly affected to quality of life of patients. Massage is a unique treatment form of alternative medicine that can promote health in various dimensions. From the previous studies, massage has affected to Long COVID mechanism via anti-inflammatory process, immune system enhancing process, and hormone level balancing that related to Long COVID symptoms as well as being able to reduce the symptoms of the long COVID symptoms. The study about the efficacy and safety of massage against Long COVID symptoms is the essential approach to increase the value of massage and develop health services in the future.

Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review

With the advent of the fourth industrial revolution, data-driven decision making has also become an integral part of decision making. At the same time, deep learning is one of the core technologies of the fourth industrial revolution that have become vital in decision making. However, in the era of epidemics and big data, the volume of data has increased dramatically while the sources have become progressively more complex, making data distribution highly susceptible to change. These situations can easily lead to concept drift, which directly affects the effectiveness of prediction models. How to cope with such complex situations and make timely and accurate decisions from multiple perspectives is a challenging research issue. To address this challenge, we summarize concept drift adaptation methods under the deep learning framework, which is beneficial to help decision makers make better decisions and analyze the causes of concept drift. First, we provide an overall introduction to concept drift, including the definition, causes, types, and process of concept drift adaptation methods under the deep learning framework. Second, we summarize concept drift adaptation methods in terms of discriminative learning, generative learning, hybrid learning, and others. For each aspect, we elaborate on the update modes, detection modes, and adaptation drift types of concept drift adaptation methods. In addition, we briefly describe the characteristics and application fields of deep learning algorithms using concept drift adaptation methods. Finally, we summarize common datasets and evaluation metrics and present future directions.

Book Review: Taking Literature and Language Learning Online: New Perspectives on Teaching, Research, and Technology

The creation of beautiful literature and art is one of humanity's most essential endeavours. The importance of literature as a component of the language-teaching curriculum has fluctuated over the last century with the popularity of various language-teaching pedagogies. Notwithstanding, it has recently seen a resurrection of appreciation for its effective utility in language acquisition. Covid-19 lockdown combined with the further progress of computer-assisted language learning has led to a gradual shift in the provision of literature-based language education to an online setting. Under this trend, Sandra Stadler-Heer and Amos Paran's edited chapter book Taking Literature and Language Learning Online: New Perspectives on Teaching, Research and Technology concentrates on a particular component of this transfer process, namely the interaction between literature and language learning. This book review provides an overview of this volume.

Applying blockchain technology to ensure compliance with sustainability standards in the PPE multi-tier supply chain

Because of the Covid-19 pandemic, urgent surging demand for healthcare products such as personal protective equipment (PPE) has caused significant challenges for multi-tier supply chain management. Although a given firm may predominantly focus on an arms-length solution by targeting the first-tier supplier, the firm can still struggle with extended multi-tier suppliers it cannot choose which use unsustainable practices. One key goal is compliance across various dimensions with production, environmental and labour standards across the multi-tier supply chain, a goal that blockchain technology can be applied to manage. Based on a comprehensive literature review, this research develops a system architecture of blockchain-based multi-tier sustainable supply chain management in the PPE industry designed to identify and coordinate standards in production and social and environmental sustainability in multi-tier PPE supply chains. The architecture was validated by theoretical basis, expert opinions and technical solutions. We conclude with managerial implications for implementing blockchain technology to advance sustainable multi-tier supply chain practices.

Crisis management in times of uncertain supply and value chains

Supply chain managers are forced to develop crisis-induced strategies due to the complexity of crises, as opposed to the more traditional strategies that prioritize competitive priorities. The increasing frequency and severity of recent crises, such as the coronavirus outbreaks, widespread product recalls, and financial crises, highlight the need for introspective and retrospective socio-economic insights on the contexts, priorities, and themes of supply chain management in times of crisis. This article's goal is to review the literature on supply chain management during times of crisis, organizing the relevant body of scholarly work in a systematic way, outlining current research methodologies, capturing strategic priorities and themes of complexity in research studies, and highlighting opportunities for additional research. Four factors for restorative priorities are identified by the review, which is based on a systematic analysis of 250 academic publications from 1996 to 2021 and reflects operations strategy in times of crisis: Critical supplies with important services, prompt action with restoration, safety with security, and traceability with transparency are just a few examples. The analysis also reveals that network configurations and business cycle complexity, optimal choices and provisioning system complexity, complicated learning processes and demand forecast are all sources of operational complexity during crises. The build-to-cycle, organic capabilities, and operational mindfulness framings for supply chain management in emergency situations are suggested with the use of review insights. The article ends with suggestions for future research on supply chain improvements, diagnosis, solidarity, mapping, temporariness, and thresholds, as well as optimal selection issues on connecting crisis network allocations with cross-functionalities and connecting crisis systems investments with liabilities.

THE IMPACT OF DIGITAL MARKETING ON THE DEVELOPMENT OF TOURISM IN REPUBLIC OF ALBANIA

The tremendous growth of tourism in Albania in recent decades, made important the understanding of the role that digital marketing and mobile technology is playing in this field. Tourism in Albania is one of the most important economic sectors of the country, and is growing year after year. It is emphasized that digitalization is a new form of communication between producers and consumers of tourism services, becoming a source of competitive advantages for tourism organizations. The main goal of the study is to give us a clear overview of the use of the Internet, information technologies and digital marketing in Albania. For the realization of this study, we used a methodology that combines primary data with secondary ones. The research was conducted through questionnaires that were sent to Albanian travel agencies via email. The questionnaire contains 17 questions, and was sent to 150 travel agencies, of which 102 agencies responded. Regarding the study, digital marketing plays an important role in improving the image of Albanian tourism throughout the world. It has created facilities in the way of doing marketing and reducing the costs of businesses. Through digital marketing, travel agencies have managed to promote our country online, personalize services and, above all, be closer to customers. The research found that the most effective digital marketing tools used by the agencies are Instagram and Facebook.

Analyzing the research trends of COVID-19 using topic modeling approach

PurposeThe COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.Design/methodology/approachThe current study identifies the focus areas of the research conducted on the COVID-19 pandemic. s of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.FindingsBased on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.Originality/valueWhile similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.

Managing disruptions in the maritime industry – a systematic literature review

PurposeThis paper presents a systematic review of the literature in the domain of maritime disruption management, upon which future research framework and agenda are proposed. Two review questions, i.e. the measures that are employed to manage disruptions and how these contribute to resilience performance, were pursued.Design/methodology/approachThe systematic literature review procedure was strictly followed, including identification and planning, execution, selection and synthesis and analysis. A review protocol was developed, including scope, databases and criteria guiding the review. Following this, 47 articles were eventually extracted for the systematic review to identify themes for not only addressing the review questions but also highlighting future research opportunities.FindingsIt was found that earlier studies mainly focused on measures, which are designed using mathematical models, management frameworks and other technical support systems, to analyse and evaluate risks, and their impacts on maritime players at the levels of organisation, transport system and region in which the organisation is embedded. There is, however, a lack of research that empirically examines how these measures would contribute to enhancing the resilience performance of maritime firms and their organisational performance as a whole. Subsequently, a Digitally Embedded and Technically Support Maritime Disruption Management (DEST-MDM) model is proposed.Research limitations/implicationsThis review is constrained by studies recorded by the Web of Science only. Nevertheless, the proposed research model would expectedly contribute to enhancing knowledge building in the specific domain of maritime disruption management and supply chain management overall while providing meaningful managerial implications to policymakers and managers in the maritime industry.Originality/valueThis research is perhaps one of the first studies which presents a systematic review of literature in maritime disruption management and proposes a future research framework that establishes the link between disruption management and resilience and organisational performance for empirical validation.

Conflitos socioambientais em áreas de complexos portuários na Amazônia paraense: ameaças, agentes e resistências

Este artigo aborda conflitos socioambientais decorrentes da construção de complexos portuários no estado do Pará a partir de três parâmetros de análise: ameaças às comunidades tradicionais, agentes envolvidos e formas de resistências daquelas comunidades. Em função da pandemia do novo coronavírus (SARS-COV-2), os procedimentos metodológicos foram redefinidos, utilizando-se da técnica de Revisão Sistemática de Literatura (RSL) agregada à pesquisa documental, observação in loco e entrevistas realizadas na comunidade de Guajará de Beja, município de Abaetetuba, um dos lócus da pesquisa. Da aplicação do Protocolo de Pesquisa (PP) da RSL resultaram dez estudos selecionados, os quais, após análise agregada aos demais procedimentos metodológicos, indicaram que as disputas por recursos naturais/locacionais, em especial para instalação de complexos portuários no estado do Pará, têm produzido conflitos socioambientais entre agentes econômicos, agentes públicos e comunidades tradicionais na Amazônia paraense.Alternate :This article addresses socio-environmental conflicts arising from the construction of port complexes in the state of Pará from 03 (communities) parameters of analysis - threats to traditional communities, agents involved and forms of complex resistance. Due to the new coronavirus (SARS-COV-2) pandemic, the methodological procedures were redefined, using the Systematic Literature Review (RSL) technique combined with documentary research, on-site observation and interviews carried out in the community of Guajará de research Beja, municipality of Abaetetuba, one of the locus of the research. The application of the RSL Research Protocol/PP resulted in 10 (ten) selected studies which, after being added to the other methodological procedures, indicating that as natural/locational resources, especially for the analysis of port complexes in the state of Pará, companies socio-environmental producers between local agents for audiences and traditional communities in the Amazon.

Opportunity recognition during the COVID-19 pandemic: a case study of Ghanaian women entrepreneurs in the beauty industry

PurposeThis paper aims to develop insight into the impact the coronavirus disease 2019 (COVID-19) crisis had on female entrepreneurs in Ghana's beauty industry and their ability to recognize opportunities. The authors also ascertained characteristics of the women that seemed to have influenced opportunity recognition.Design/methodology/approachUsing the case study approach, the authors collected data via in-depth interviews and open-ended questionnaires from sixteen women entrepreneurs in the beauty industry. The data were analyzed using a thematic analysis.FindingsThe data show that women entrepreneurs encountered challenges during the pandemic;however, some of the women were able to identify opportunities. Creativity and social media inclination were perceived to have influenced opportunity recognition. It was also observed from the demographic data that women who identified opportunities and women who could not differ in the level of education, age and firm age.Practical implicationsWomen entrepreneurs are encouraged to capitalize on social media and virtual platforms to enhance their marketing, services and operations. COVID-19 aid for businesses must be distributed equitably to all entrepreneurs in need.Originality/valueThe findings from this study provide novel insights into opportunity recognition during a crisis, focusing on a specific industry in a developing country.

DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense

Strategic management has applications in many areas of social life. One of the basic steps in the process of strategic management is formulating a strategy by choosing the optimal strategy. Improving the process of selecting the optimal strategy with MCDM methods and theories that treat uncertainty well in this process, as well as the application of other and different selection criteria, is the basic idea and goal of this research. The improvement of the process of the aforementioned selection in the defense system was carried out by applying a hybrid model of multicriteria decision-making based on methods defining interrelationships between ranked criteria (DIBR) and multiattributive ideal-real comparative analysis (MAIRCA) modified by triangular fuzzy numbers–"DIBR–DOMBI–Fuzzy MAIRCA model.” The DIBR method was used to determine the weight coefficients of the criteria, while the selection of the optimal strategy, from the set of offered methods, was carried out by the MAIRCA method. This was done in a fuzzy environment with the aim of better treatment of imprecise information and better translation of quantitative data into qualitative data. In the research, an analysis of the model's sensitivity to changes in weight coefficients was performed. Additionally, a comparison of the obtained results with the results obtained using other multicriteria decision-making methods was conducted, which validated the model and confirmed stable results. In the end, it was concluded that the proposed MCDM methodology can be used for choosing a strategy in the defense system, that the results of the MCDM model are stable and valid, and that the process has been improved by making the choice easier for decision makers and by defining new and more comprehensive criteria for selection.

Factors affecting the public higher education institution (PHEI) acceptance of online meetings applications during COVID-19 pandemic: an empirical study

PurposeIn order to ensure effectiveness of staff's performance using online meetings applications during coronavirus disease (COVID-19), having the behavioural intention is mandatory for staff to measure, test, and manage the staff's data. Understanding of Public Higher Education Institution (PHEI) staffs' intention and behaviour toward online meetings platforms is needed to develop and implement effective and efficient strategies. The objectives of this paper to identify the factors that affect staff to use online meetings applications, to develop a model that examining the factors that affect PHEI staff to online meetings applications and to validate the proposed model. This study used a cross-sectional quantitative correlational study with using UTAUT2 model by validating the model and mediating variables to enhance the model's explanatory power and to make the model more applicable to PHEI staff's behavioural intention.Design/methodology/approachThe data were collected in Malaysia from March to May 2021. The survey took place using Google form and was send to PHEI staff for answer. This research particularly chooses PHEI as the location to carry out the research due to two main factors. Statistical analysis and hypotheses were tested using structural equation modelling based on the optimisation technique of partial least squares. SmartPLS software, Version 3.0 (Hair et al., 2010) was used to conduct the analysis. A conceptualised estimation model was "drawn in” the partial least squares structural equation modeling (PLS-SEM) to analyse the consequences of the variables' relationships. In essence, the PLS-SEM simulation was carried out in a model by assessing and computing various parameters that included elements like validity, durability, and item loading. Henseler et al. (2009) suggested a two-step method that includes PLS model parameter computing. This is accomplished by first solving the estimation model in the structural model independently before calculating the direction coefficients. The results of data analysis using SmartPLS findings and interpretation of the data are addressed. The questionnaire was extensively examined to ensure that the data obtained were presented in a clear and intelligible manner, with the use of figures, and graphs.FindingsThis current study found that the usability of the material, the reliability of operating, the impact of the PHEI staff's views on its usage, and finally the familiarity with the online meetings platforms influenced PHEI staff's behavioural intention for adoption and long-term use of online meeting platforms using UTAUT2. The staff's behavioural intention for using online meeting platforms was significantly influenced by the effort expectancy, facilitating conditions and habit of online meeting platforms. There was a clear association between "Habit” and "Behavioural Intention” for the usage of information technology in learning in several studies (El-Masri and Tarhini, 2017;Uur and Turan, 2018;Mosunmola et al., 2018;Venkatesh et al., 2003). As a consequence of the utility of online meeting platforms in daily staff meetings and learning activities, this technology has been adopted.Originality/valueThis study used UTAUT2 and structural equations modelling in this study to assess respondents' perspectives on the use of online meetings platforms in PHEI, since users' perspective is a significant factor in the adoption and acceptance of online meeting applications. Staff's behavioural intention to use online meeting platforms was effectively enhanced by "Effort Expectancy,” "Facilitating Conditions” and "Habit” in this study. The study shows that identifying PHEI staff's perspectives will effectively increase the staff's aversion to utilising online meeting platforms for online meetings purposes.

Tourism destination crisis event, literature review, analysis and future prospects

A In a world undergoing profound changes rarely seen in a century, the Covid-19 pandemic has accelerated these changes that the instability and uncertainty factors facing economic and social development have in- creased significantly. Among them, the "black swan" indicants in tourism destination development are constantly emerging, which not only have a direct impact on tourism stakeholders, but also bring huge losses to the national economy and social development. Therefore, how to effectively prevent and resolve tourism destination crisis is of great significance to the overall improvement of social crisis management level and governance capacity. The study reviewed related papers and then systematically divided them into seven topics. In addition, the current study indicates the limitations of every theme and give its comments. Based on the work mentioned above, the current study demonstrates seven future research directions of tourism destination crisis events, identifies five key nodes with crisis life cycle theory, develops a multi-stage, multi-dimensional and multi-level analysis model, establishes the concept of the whole process, all elements, and comprehensive management of tourism destination crisis events, and constructs an integrated framework for accurate management of tourism destination crisis events. It is expected to form a theoretical system of tourism destination crisis events management, and better guide the development practice of "seeking opportunities in crisis and turning them into opportunities" in China tourism destinations.

Diabetes in Poland - public health challenges and opportunities

Introduction and objective: Diabetes, with its medical complications and societal consequences, is one the most difficult concerns for modern society. The purpose of this narrative review is to characterize the selected public health challenges and opportunities resulting from diabetes in Poland, as well as to identify public health measures that may be adopted to lower the diabetes burden in Poland. Review methods: This narrative review is based on the literature about diabetes in Poland. Scientific papers on diabetes published between 1 January 2010-31 January 2023, available in the PubMed database, were identified using a combination of the following key words: 'diabetes', 'Poland', 'public knowledge', 'management' and 'costs'. Particular attention was paid to the following diabetes-related issues: (1) current and forecast prevalence of diabetes in Poland, (2) diabetic care before and after the COVID-19 pandemic onset, (3) public knowledge of diabetes and diabetes risk factors, and (4) public health interventions to reduce the diabetes burden at the population level. Abbreviated description of the state of knowledge: A continuous growth of both the incidence and the prevalence of diabetes is predicted. Due to insufficient public awareness of diabetes risk factors and symptoms, and the health-debt caused by COVID-19 pandemic, a further rise in the number of diabetic complications is expected, as well as an increase in public spending on health care and social insurance systems. Summary: Public health interventions targeted at preventing diabetes and its complications should not be confined to reducing complications and improving diabetes care, but also include a wide range of initiatives aimed at addressing the fundamental causes of diabetes. Future study should look at the cost-effectiveness of such initiatives in order to mobilize different stakeholders and society.

Key supply chain strategies for post-COVID-19 recovery: evidence from an Indian smart furniture industry

PurposeSmart furniture is an essential part of research that has been designed to best complement easy and safe human interaction. The purpose of smart furniture is to save the space of the house and make the products unique, awesome and safe, functional, strong and also make it works better so the people can live better with it. This research aims to explore the key supply chain strategies implemented by the Indian smart furniture industry to reduce the impact of a post-COVID-19 pandemic.Design/methodology/approachThis work utilized a case study and conducted semi-structured interviews with the top leadership of the smart furniture manufacturing industry to explore key supply chain strategies to reduce the influence of the post-COVID-19 pandemic. Additionally, key supply chain strategies have been analyzed using a multi-criteria decision-making technique known as grey relational analysis (GRA) to determine their ranking significance in the smart furniture industry.FindingsThe results of this study discovered that "Inventory-Categorization” is essential in ensuring business continuity during the COVID-19 pandemic and helps reduce the amount of stock they have on hand. It enhanced the opportunity for employees to properly focus on their work and an opportunity for better work-life balance. The results of the study can also help supply chain stakeholders in their establishment of critical strategies.Research limitations/implicationsThe implications of this research work help the Indian furniture industry to make supply chain investment decisions that benefit the organization to sustain itself.Originality/valueThis is the first study to explore key supply chain strategies for the post-COVID-19 era. This work will assist managers and practitioners in helping the organization decide which supply chain strategies are more critical to the betterment of the organization.

Impact of Electronic Word-Of-Mouth on Consumer-Based Brand Equity and Purchase Intention: Hotel Industry in Thailand

Electronic word-of-mouth is a new form of informal communication where messages are disseminated to others using social media and other electronic platforms. This research investigates eWOM to determine its impact on the perception of brand equity and the intentions of consumers to purchase hotel services in Thailand. Using a quantitative approach and a non-probability sampling method, 410 Thai respondents aged 18 and above with relevant hotel experiences participated in this study. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used to analyze the model fit and the validity and reliability of the variables. In addition, in order to investigate the relationship between the constructs, first-order and second-order approaches were used, in which eWOM was the second-order construct in the study, while its credibility, valence, and volume, were first-order constructs. The findings indicated that eWOM positively affects all brand equity dimensions and purchase intentions, showing the strongest significant positive effect on brand awareness. Additionally, brand equity dimensions were shown to mediate the effect of eWOM on purchase intentions. Details of the analyses and discussions are included in the latter part of this paper.

Susceptibility of domestic and wild animal species to SARS CoV-2 naturally infection (review)

Severe acute respiratory syndrome coronavirus (SARS-CoV-2), the causative agent of the current COVID-19 pandemic, has evolved to have a wide range of hosts, including non-human primates, wild and domestic animals. Determining the susceptibility of different animal species to SARS-CoV-2 infection and the role of animals in the epidemiology of the disease will be critical to designing appropriate human and veterinary public health responses to this pandemic. A better understanding of the susceptibility of animal species to SARS-CoV-2 may help clarify transmission mechanisms and identify potential reservoirs and sources of infection that are important for both animal and human health. The current pandemic produced by SARS CoV-2 and its variants represents an example of the unique concept of health (One Health) in which humans and animals are components of the same epidemiological chain. In this paper, only the natural infections found in different animals species will be reviewed, according to literature data, regarding the species of affected animals, the transmission patterns (human-animal, animal-human), clinical aspects, diagnosis confirmation and a brief presentation of the prevention possibilities through vaccination.

Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan

Information technology and supply chain agility are in vogue. The present study aims to investigate the impact of information technology (IT) on supply chain agility and its outcomes such as cost reduction and operational performance in fast food companies' chains. A total of 240 employees from fast food chains were selected as respondents. Data was collected using five-point Likert scale questionnaire developed from previous studies. The statistical results confirmed that adoption of IT is playing a vibrant role in achieving supply chain agility and supply chain agility helps to reduce cost and improves operational performance of firms. The study model provides a useful framework to examine the impact of IT adoption on supply chain agility and its outcomes. In conclusion, the firms have to focus on their supply chain management and make it efficient and agile by implementing the advanced technologies to gain operational performance. Implications have been discussed.

Ethical moments and institutional expertise in UK Government COVID-19 pandemic policy responses: where, when and how is ethical advice sought?

Background:The emergency response to the COVID-19 pandemic has required a rapid acceleration of policy decision making, and raised a wide range of ethical issues worldwide, ranging from vaccine prioritisation, welfare and public health ‘trade-offs', inequalities in policy impacts, and the legitimacy of scientific expertise.Aims and objectives:This paper explores the legacy of the pandemic for future science-advice-policy relationships by investigating how the UK government's engagement with ethical advice is organised institutionally. We provide an analysis of some key ethical moments in the UK Government response to the pandemic, and institutions and national frameworks which exist to provide ethical advice on policy strategies.Methods:We draw on literature review, documentary analysis of scientific advisory group reports, and a stakeholder workshop with government ethics advisors and researchers in England.Findings:We identify how particular types of ethical advice and expertise are sought to support decision making. Contrary to a prominent assumption in the extensive literature on ‘governing by expertise', ethical decisions in times of crisis are highly contingent.Discussion and conclusions:The paper raises an important set of questions for how best to equip policymakers to navigate decisions about values in situations characterised by knowledge deficits, complexity and uncertainty. We conclude that a clearer pathway is needed between advisory institutions and decision makers to ensure ethically-informed debate.