scholarly journals Joining the Dots—Understanding the Value Generation of Creative Networks for Sustainability in Local Creative Ecosystems

2021 ◽  
Vol 13 (22) ◽  
pp. 12352
Author(s):  
Marlen Komorowski ◽  
Ruxandra Lupu ◽  
Sara Pepper ◽  
Justin Lewis
Keyword(s):  
Creative Industries ◽  
Quadruple Helix ◽  
Policy Makers ◽  
Value Network ◽  
The Public ◽  
Focus Group Research ◽  
A Value ◽  
Using Data ◽  
The Uk ◽  
Quadruple Helix Model

In recent years, the ecological shift from an economically driven model of arts and culture to that of an ecosystem in the creative industries determined the emergence of a range of new bottom-up, place-based networks herewith referred to as “creative networks”. This article explores how these networks can generate sustainability for local creative ecosystems through a value network approach. Building on the quadruple helix model to identify the actors in these networks, this study explores the relationships and value flows between the actors of 22 identified creative networks across the UK. It then maps these relationships using data gathered through a mixed methodology that includes survey data and focus group research. Our findings show that creative networks operate as central nodes of the local creative ecosystem, functioning as a ‘glue’ inside the otherwise very heterogenous creative industries. From this position, creative networks can act as catalysts for sustainability. However, the economic, cultural, and social value created by creative networks is often overshadowed by other challenges including a lack of funding and a lack of understanding from policy makers or the public.

scholarly journals Fraud in overseas aid and the challenge of measurement

2015 ◽  
Vol 22 (2) ◽  
pp. 184-198 ◽  
Author(s):  
Mark Button ◽  
Chris Lewis ◽  
David Shepherd ◽  
Graham Brooks
Keyword(s):  
High Risk ◽  
International Development ◽  
Local Context ◽  
Structured Interviews ◽  
Policy Makers ◽  
Content Type ◽  
The Public ◽  
The Uk ◽  
Practical Implications

Purpose – The purpose of this paper is to explore the challenges of measuring fraud in overseas aid. Design/methodology/approach – The research is based on 21 semi-structured interviews with key persons working in the delivery of aid in both the public and voluntary sectors. It uses the UK Department for International Development as a case study to applying more accurate measures of fraud. Findings – This paper shows there are significant challenges to using fraud loss measurement to gauge fraud in overseas aid. However, it argues that, along with other types of measures, it could be used in areas of expenditure in overseas governments and charities to measure aid. Given the high risk of such aid to fraud, it argues helping to develop capacity to reduce aid, of which measuring the size of the problem is an important part; this could be considered as aid in its own right. Research limitations/implications – The researchers were not able to visit high-risk countries for fraud to examine in the local context views on the challenges of measuring fraud. Practical implications – The paper offers insights on the challenges to accurately measuring fraud in an overseas context, which will be useful to policy-makers in this context. Social implications – Given the importance of as much aid as possible reaching recipients, it offers an important contribution to helping to reduce losses in this important area. Originality/value – There has been very little consideration of how to measure fraud in the overseas aid context, with most effort aimed at corruption, which poses some of the same challenges, as well as some very different challenges.

Papers please: Predictive factors for national and international COVID-19 immunity and vaccination passport uptake as determined by representative surveys (Preprint)

2021 ◽  
Author(s):  
Paul Michael Garrett ◽  
Joshua Paul White ◽  
Simon Dennis ◽  
Stephan Lewandowsky ◽  
Cheng-Ta Yang ◽  
...  
Keyword(s):  
Predictive Factors ◽  
Policy Decision ◽  
National Accounts ◽  
Policy Makers ◽  
The Public ◽  
The United Kingdom ◽  
Social Risks ◽  
Effective Policy ◽  
Generalized Linear Mixed Effects ◽  
The Uk

BACKGROUND In response to the COVID-19 pandemic, countries are introducing digital passports that allow citizens to return to normal activities if they were previously infected with (immunity passport) or vaccinated against (vaccination passport) SARS-CoV-2. To be effective, policy decision makers must know whether immunity and vaccination passports will be widely accepted by the public, and under what conditions? This study focuses attention on immunity passports, as these may prove useful in countries both with and without an existing COVID-19 vaccination program, however, our general findings also extend to vaccination passports. OBJECTIVE We aimed to assess attitudes towards the introduction of immunity passports in six countries, and determine what social, personal, and contextual factors predicted their support. METHODS We collected online representative samples across six countries – Australia, Japan, Taiwan, Germany, Spain, and the United Kingdom – from April to May of the 2020 COVID-19 pandemic, and assessed attitudes and support for the introduction of immunity passports. RESULTS Immunity passport support was moderate-to-low, ranging from 51% in the UK and Germany, 47% in Australia and Spain, 46% in Taiwan, and 22% in Japan. Bayesian generalized linear mixed effects modelling controlling assessed predictive factors for immunity passport support across countries. International results showed neoliberal world views, personal concern and perceived virus severity, the fairness of immunity passports, and willingness to become infected to gain an immunity passport, were all predictive factors of immunity passport support. By contrast, gender (woman), immunity passport concern, and risk of harm to society predicted a decrease in support for immunity passports. Minor differences in predictive factors were found between countries and results were modelled separately to provide national accounts of these data. CONCLUSIONS Our research suggests that support for immunity passports is predicted by the personal benefits and social risks they confer. These findings generalized across six countries and may also prove informative for the introduction of vaccination passports, helping policy makers to introduce effective COVID-19 passport policies in these six countries and around the world.

Knowledge Co production and Behavioural Change, Collaborative approaches for promoting low carbon mobility

2016 ◽  
Author(s):  
Stewart Barr ◽  
Gareth Shaw
Keyword(s):  
Climate Change ◽  
Behavioural Change ◽  
Academic Research ◽  
Low Carbon ◽  
Policy Makers ◽  
Productive Process ◽  
Emergent Literature ◽  
Using Data ◽  
The Uk ◽  
Personal Travel

Behavioural change has become regarded as a key tool for policy makers to promote behavioural change that can reduce carbon emissions from personal travel. Yet academic research has suggested that promoting low carbon travel behaviours, in particular those associated with leisure and tourism practices, is particularly challenging because of the highly valued and conspicuous nature of the consumption involved. Accordingly, traditional top-down approaches to developing behavioural change campaigns have largely been ineffectual in this field and this chapter explores innovative ways to understand and develop behavioural change campaigns that are driven from the bottom upwards. In doing so, we draw on emergent literature from management studies and social marketing to explore how ideas of service dominant logic can be used to engage consumers in developing each stage of a behavioural change campaign. Using data and insights from research conducted in the south-east of the UK, we outline and evaluate the process for co-producing knowledge about low carbon travel and climate change. We illustrate how behavioural change campaign creation can be an engaging, lively and productive process of knowledge and experience sharing. The chapter ends by considering the role that co-production and co-creation can have in developing strategies for low carbon mobility and, more broadly, the ways in which publics understand and react to anthropogenic climate change.

Online job quality quizzes: are they of value?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Age Groups ◽  
Job Quality ◽  
Policy Makers ◽  
Content Type ◽  
The Public ◽  
Advantages And Disadvantages ◽  
Social Media Platforms ◽  
Random Probability ◽  
Nationally Representative ◽  
The Uk

Purpose The purpose of this study is to compare two methods of data collection on job quality – an online quiz and a random probability survey. Design/methodology/approach Data are from a nationally representative sample of workers in Britain aged 20–65 years. Participants in the survey are randomly selected whereas those completing the quiz are recruited using uncontrolled convenience sampling promoted through trade union websites, newsletters and advertising on social media platforms. The survey and quiz contain the same questions and data from both methods are collected within 14 months of each other. Findings The results show that the sample recruited for participation in the online quiz is skewed towards those working in the public sector, people in higher education and towards younger age groups and women whereas the random probability survey is more representative of the adult working population in the UK. Significant differences in the results obtained by the two collection methods are found which suggests that social desirability bias is having an effect on participant responses. Practical implications Therefore policy makers should consider the advantages and disadvantages when selecting methods to collect data for tracking changes in job quality. Originality/value This paper has an original approach by examining the procedures in different methods of gathering data on job quality and the effects of this on the data collected.

scholarly journals Unused potential for Smart Specialization development through collaboration: Lithuanian case

2019 ◽  
Vol 65 (No. 10) ◽  
pp. 463-469
Author(s):  
Živilė Gedminaitė-Raudonė ◽  
Dalia Vidickienė ◽  
Rita Vilkė
Keyword(s):  
Quadruple Helix ◽  
Structured Interviews ◽  
Policy Makers ◽  
Research And Innovation ◽  
Research Findings ◽  
The Will ◽  
Smart Specialization ◽  
Post Industrial ◽  
Quadruple Helix Model ◽  
Industrial Economic

Smart Specialization in this research is addressed to the use of collaboration as a tool for increasing efficiency of investment in entrepreneurship, research and innovation in a service-driven post-industrial economic system. This study provides evidence that collaboration potential is used only partly during the implementation of Smart Specialization strategy. The research illustrates given thesis by the evaluation of collaboration in Lithuanian biogas sector, which is listed among the priorities of Lithuania’s Smart Specialization strategy till 2020, using structured interviews. The main aim of this empirical research is to assess the will to collaborate in order to enhance the development of Smart Specialization and identify unused collaboration potential among all Quadruple Helix model counterparts in the biogas sector. Empirical findings show that collaboration in the Smart Specialization development has a big potential. However, this potential is used only partly because of lack of knowledge and available business infrastructure for this task and the passive role in collaboration processes of government institutions. Research findings suggest that current situation should be changed by supporting measures for business and NGOs with the aim to encourage collaborative initiatives for Smart Specialization. Research findings might serve as guidelines for policy makers, entrepreneurs, university and NGO managers.<br />

Public understanding of the environmental impact of road transport

2000 ◽  
Vol 9 (2) ◽  
pp. 165-174 ◽  
Author(s):  
Ben Lane
Keyword(s):  
Environmental Impact ◽  
Road Transport ◽  
Hybrid Vehicles ◽  
Public Understanding ◽  
Sustainable Transport ◽  
Policy Makers ◽  
The Public ◽  
Gas Fuel ◽  
The Uk ◽  
Common Misconceptions

Policy makers are hoping that the public will assist in the move toward a sustainable transport system by purchasing alternatively fueled vehicles (AFVs), many of which are now available in the UK. But if the public's knowledge-base of transport issues is low, it seems unlikely that consumer behavior will change sufficiently enough to solve the problems associated with high levels of traffic pollution. To assess the extent of popular understanding, an open-ended questionnaire has been used to investigate the perceptions of the British public on issues relating to transport. Topics include the environmental impact of vehicle emissions and the level of awareness of other alternative transport technologies such as natural gas, fuel-cell, and hybrid vehicles. The focus is to identify the most common misconceptions, with a view to improving educational programs designed to encourage the uptake of AFVs.

scholarly journals Papers please: Predictive factors for the uptake of national and international COVID-19 immunity and vaccination passports

2021 ◽  
Author(s):  
Paul Michael Garrett ◽  
Joshua Paul White ◽  
Simon Dennis ◽  
Stephan Lewandowsky ◽  
Cheng-Ta ◽  
...  
Keyword(s):  
Predictive Factors ◽  
Policy Decision ◽  
Decision Makers ◽  
Policy Makers ◽  
The Public ◽  
The United Kingdom ◽  
Effective Policy ◽  
Generalized Linear Mixed Effects ◽  
The Uk ◽  
Representative Samples

In response to the COVID-19 pandemic, countries are introducing digital passports that allow citizens to return to normal activities if they were previously infected with (immunity passport) or vaccinated against (vaccination passport) SARS-CoV-2. To be effective, policy decision makers must know whether immunity and vaccination passports will be widely accepted by the public, and under what conditions? We collected representative samples across six countries – Australia, Japan, Taiwan, Germany, Spain, and the United Kingdom – during the 2020 COVID-19 pandemic to assess attitudes towards the introduction of immunity passports. Immunity passport support was moderate-to-low, ranging from 51% in the UK and Germany, down to 22% in Japan. Bayesian generalized linear mixed effects modelling controlling for each country showed neoliberal world views, personal concern and perceived virus severity, the fairness of immunity passports, and willingness to become infected to gain an immunity passport, were all predictive factors of immunity passport support. By contrast, gender (woman), immunity passport concern, and risk of harm to society predicted a decrease in support for immunity passports. Minor differences in predictive factors were found between countries. These findings will help policy makers introduce effective immunity passport policies in these six countries and around the world.

scholarly journals Retrospective cohort study to evaluate medication use in patients hospitalised with COVID-19 in Scotland: protocol for a national observational study

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e054861
Author(s):  
Tanja Mueller ◽  
Steven Kerr ◽  
Stuart McTaggart ◽  
Amanj Kurdi ◽  
Eleftheria Vasileiou ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Real World Data ◽  
The Public ◽  
Health And Social Care ◽  
Alternative Drug ◽  
Repurposed Drugs ◽  
Using Data ◽  
The Uk

IntroductionCOVID-19 has caused millions of hospitalisations and deaths globally. A range of vaccines have been developed and are being deployed at scale in the UK to prevent SARS-CoV-2 infection, which have reduced risk of infection and severe COVID-19 outcomes. Those with COVID-19 are now being treated with several repurposed drugs based on evidence emerging from recent clinical trials. However, there is currently limited real-world data available related to the use of these drugs in routine clinical practice. The purpose of this study is to address the prevailing knowledge gaps regarding the use of dexamethasone, remdesivir and tocilizumab by conducting an exploratory drug utilisation study, aimed at providing in-depth descriptions of patients receiving these drugs as well as the treatment patterns observed in Scotland.Methods and analysisRetrospective cohort study, comprising adult patients admitted to hospital with confirmed or suspected COVID-19 across five Scottish Health Boards using data from in-hospital ePrescribing linked to the Early Estimation of Vaccine and Anti-Viral Effectiveness (EAVE II) COVID-19 surveillance platform. The primary outcome will be exposure to the medicines of interest (dexamethasone, remdesivir, tocilizumab), either alone or in combination; exposure will be described in terms of drug(s) of choice; prescribed and administered dose; treatment duration; and any changes in treatment, for example, dose escalation and/or switching to an alternative drug. Analyses will primarily be descriptive in nature.Ethics and disseminationEthical and information governance approvals have been obtained by the National Research Ethics Service Committee, South East Scotland 02 and the Public Benefit and Privacy Panel for Health and Social Care, respectively. Findings from this study will be presented at academic and clinical conferences, and to the funders and other interested parties as appropriate; study findings will also be published in peer-reviewed journals. Publications will be available on the EAVE II website (https://www.ed.ac.uk/usher/eave-ii/key-outputs/our-publications), alongside lay summaries and infographics aimed at the general public. Press releases will also be considered, if appropriate.

Analysis and visualization of COVID-19 discourse on Twitter using data science: a case study of the USA, the UK and India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haider Ilyas ◽  
Ahmed Anwar ◽  
Ussama Yaqub ◽  
Zamil Alzamil ◽  
Deniz Appelbaum
Keyword(s):  
Data Science ◽  
Supervised Machine Learning ◽  
Content Type ◽  
The Public ◽  
Public Sentiment ◽  
The People ◽  
The Usa ◽  
Using Data ◽  
The Uk

Purpose This paper aims to understand, examine and interpret the main concerns and emotions of the people regarding COVID-19 pandemic in the UK, the USA and India using Data Science measures. Design/methodology/approach This study implements unsupervised and supervised machine learning methods, i.e. topic modeling and sentiment analysis on Twitter data for extracting the topics of discussion and calculating public sentiment. Findings Governments and policymakers remained the focus of public discussion on Twitter during the first three months of the pandemic. Overall, public sentiment toward the pandemic remained neutral except for the USA. Originality/value This paper proposes a Data Science-based approach to better understand the public topics of concern during the COVID-19 pandemic.

scholarly journals Failing to Adapt: Institutional Barriers to RCOs Engagement in Transformation of Social Welfare

2010 ◽  
Vol 9 (2) ◽  
pp. 181-192 ◽  
Author(s):  
Jenny Phillimore ◽  
Lisa Goodson
Keyword(s):  
Participatory Action ◽  
Institutional Barriers ◽  
Welfare Provision ◽  
New Era ◽  
The Public ◽  
Refugee Community ◽  
Survey Interviews ◽  
Using Data ◽  
The Uk

Britain has entered a new era of super-diversity and many regions of the UK are experiencing the arrival of new communities. Refugee Community Organisations (RCOs) have developed following the arrival of new asylum seeking and refugee communities, and have been charged with the role of supporting the integration of these newcomers. However, there is much evidence to suggest that they are functioning only with individuals rather than working with institutions to transform systems and ensure welfare provision is adapted to account for diverse needs. This paper looks at the role of RCOs in attempting transformation and, using data collected through survey, interviews, and participatory action research, examines the extent to which RCOs are able to engage with the public and wider voluntary sector, to ensure that refugees' welfare needs can be met. It finds that in addition to the much-researched functional barriers to transformation, there are major institutional barriers to engagement. Institutions have failed to adapt their systems to enable representation of new communities instead expecting RCOs to build their own capacity to communicate. The paper ends by offering some ideas around resourcing RCOs to be represented and developing the capacity of institutions to adapt to new diversity.

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