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This study investigates factors motivating upcycled food choices and assesses the association between these factors and hesitancy towards upcycled food consumption in a Swedish population.

An online food choice questionnaire was used. Participants (n = 682) were categorised into Inclined and Hesitant groups based on their intention to consume upcycled foods. The factors motivating upcycled food choices were identified using explanatory factor analyses. Independent t-tests assessed the differences in the mean importance score of factors between the two groups. The association between upcycled food choice factors and hesitancy towards consumption was evaluated by logistic regressions (adjusted for sociodemographic characteristics).

The most important upcycled food choice factor in both groups was ethical concerns, followed by natural content, sensory appeal, price, healthiness, familiarity and impression. The Inclined group’s mean importance score for ethical concern was higher than the Hesitant group (p_value<0.001) and, except for natural content, the mean importance scores for the other factors were higher in the Hesitant group compared to the Inclined group (p_value<0.05). Participants who perceived ethical concern as an important factor had lower odds of hesitancy (Odds ratio = 0.39; 95%CI:0.26,0.59; p_value<0.001), and those who considered sensory appeal an important factor had higher odds of hesitancy (Odds ratio = 2.42; 95%CI:1.62,3.63; p_value<0.001) towards upcycled food consumption compared to participants who did not consider these as important factors.

This is the first study investigating health and non-health-related upcycled food choice motives using a food choice questionnaire. Identifying these motives helps food developers and researchers determine factors influencing upcycled food consumption.

The purpose of this paper is to explore the actual walking distance to public transport (PuT) stations and to report passenger perceptions on route choice.

A systematic case study has been conducted after administrating a tailor-made paper-based intercept survey in a German city (Munich). It can determine the interrelation between the accessibility of the transit service and evaluation on walking distance acceptance. Statistical analysis and geo-spatial approach were completed for obtaining major findings.

Statistical and geo-spatial analysis shows that respondents living in low-density areas walk longer than residents living in nearby inner city areas. In terms of PuT modes, residents walk longer for suburban train and subway/metro (U-Bahn) than for bus/tram services. Transit users accept a longer walking distance to reach a train station than other PuT modes and they choose the most direct and quickest route to reach PuT stations.

Findings of this study would help to formulate future strategies and standards for the sustainable planning of public transportation systems in the context of Munich and many other cities around the globe with similar conditions. However, future research should be conducted using a large-scale survey for evaluating the comprehensive picture of walking patterns to PuT stations. Accessibility to PuT stations can also be modeled and evaluated by adopting open data and voluntary social media information. Unfortunately, this study only presents a partial evaluation of walking focused on accessibility at selected PuT stations in different settings of the urban fabric.

This empirical study can be considered as an initial finding in the favor of the city transport authority to provide a design scale for improved accessibility of transit users; however, further investigation should be conducted using a large-scale survey for evaluating the comprehensive walking patterns.

A systematic case study has been conducted after administrating a tailor-made paper-based intercept survey in a German city (Munich). Findings of this study would help to formulate future strategies and standard for the sustainable planning of the public transportation system in the context of Munich and many other cities in the globe with similar conditions.

The aim of this paper is to provide evidence of the relationship between the governance structure of universities and the universities' knowledge transfer (KT) performance outcomes measured in terms of university spin-off firms university spin-offs (USOs).

The universities' board of directors has been analyzed under three profiles: the incidence of internal directors belonging to the STEM (Science, Technology, Engineering and Mathematics) faculties, the incidence of women directors and the incidence of external directors.

The findings provide evidence of a significant and positive association, for southern Italian state universities, of the presence of university STEM directors and the establishment of university spin-offs (USOs).

The article is original as, to the best of the authors’ knowledge, no study, except for the paper by Meoli et al. (2019), examined the governance of universities in relation to the establishment of academic spin-offs.

This study aims to explore how the COVID-19 pandemic has impacted parents of autistic children and their families in Ireland.

A qualitative thematic analysis methodology was applied using semi-structured interviews. A total of 12 parents (ten mothers, one father and one grandfather speaking on behalf of a mother) of autistic children were asked how the COVID-19 pandemic impacted them and their autistic child with a particular focus on how it has impacted their access to respite care. Interviews were completed remotely from July 2021 to October 2021.

Data analysis identified four themes that reflect an adverse pandemic impact. These were: world gone; alone and isolated; constantly fighting for help; and negative and positive impact of COVID-19 on child and family. Two parents reported positive outcomes of the pandemic such as social distance requirements. Five parents (42%) reported an increase in the amount of respite received. Three parents (25%) reported a decrease and four (33%) parents reported no change in their access to respite.

COVID-19 has turned a spotlight on mental health for politicians, policymakers and the public and provides an opportunity to make mental health a higher public health priority for autistic children and their families.

This study highlights the need for access to respite for autistic children and for respite services to be responsive to the ongoing needs, in particular, the mental health needs of autistic children and their family, particularly in a crisis situation.

Digital contact tracing technologies are critical to the fight against COVID-19 in many countries including the UK. However, a number of ethical, legal and socio-economic concerns that can affect uptake of the app have been raised. The purpose of this research is to explore the perceptions of the UK digital contact tracing app in the Black, Asian and Minority Ethnic (BAME) community in Leicester and how this can affect its deployment and implementation.

Data was collected through virtual focus groups in Leicester, UK. A total of 28 participants were recruited for the study. All participants are members of the BAME community, and data was thematically analysed with NVivo 11.

A majority of the participants were unwilling to download and use the app owing to legal and ethical concerns. A minority were willing to use the app based on the need to protect public health. There was a general understanding that lack of uptake will negatively affect the fight against COVID-19 in BAME communities and an acknowledgement of the need for the government to rebuild trust through transparency and development of regulatory safeguards to enhance privacy and prevent misuse.

To the best of the authors’ knowledge, the research makes original contributions being the first robust study conducted to explore perceptions of marginalised communities, particularly BAME which may be adversely impacted by the deployment of the app. By exploring community-based perceptions, this study further contributes to the emerging citizens’ perceptions on digital contact tracing which is crucial to the effectiveness and the development of an efficient, community-specific response to public attitudes towards the app. The findings can also help the development of responsible innovation approaches that balances the competing interests of digital health interventions with the needs and expectations of the BAME community in the UK.

This chapter focusses on the ethical issues raised by different types of surveillance and the varied ways in which surveillance can be covert. Three case studies are presented which highlight different types of surveillance and different ethical concerns. The first case concerns the use of undercover police to infiltrate political activist groups over a 40-year period in the UK. The second case study examines a joint operation by US and Australian law enforcement agencies: the FBI’s operation Trojan Shield and the AFP’s Operation Ironside. This involved distributing encrypted phone handsets to serious criminal organisations which included a ‘backdoor’ secretly sending encrypted copies of all messages to law enforcement. The third case study analyses the use of emotional artificial intelligence systems in educational digital learning platforms for children where technology companies collect, store and use intrusive personal data in an opaque manner. The authors discuss similarities and differences in the ethical questions raised by these cases, for example, the involvement of the state versus private corporations, the kinds of information gathered and how it is used.

The goal of this paper is to give a comprehensive and short review on how to compute the first- and second-order topological derivatives and potentially higher-order topological derivatives for partial differential equation (PDE) constrained shape functionals.

The authors employ the adjoint and averaged adjoint variable within the Lagrangian framework and compare three different adjoint-based methods to compute higher-order topological derivatives. To illustrate the methodology proposed in this paper, the authors then apply the methods to a linear elasticity model.

The authors compute the first- and second-order topological derivatives of the linear elasticity model for various shape functionals in dimension two and three using Amstutz' method, the averaged adjoint method and Delfour's method.

In contrast to other contributions regarding this subject, the authors not only compute the first- and second-order topological derivatives, but additionally give some insight on various methods and compare their applicability and efficiency with respect to the underlying problem formulation.

The concept of circular economy (CE) has been receiving a lot of attention over the past years from academics, practitioners and policymakers. This is particularly the case for small- and medium-sized enterprises (SMEs) who find in CE a way to overcome their resource scarcity. However, little is known about how embracing the CE perspective can contribute to meet the sustainable development goals (SDGs). The present chapter aims at answering this question. Through a single case study, we explore the drivers, managerial practices and collaborations implemented by SMEs to generate economic, social and environmental values.

Venture capital (VC) is an essential element in healthy entrepreneurial environments; therefore, many countries in developing entrepreneurial economies support the industry via direct or indirect government interventions. The purpose of this study is to examine through the example of the Hungarian market, whether direct or hybrid state involvement has contributed more to the growth of the invested enterprises. The findings are relevant in the design of government VC schemes and in the contracts mitigating the moral hazards inherent in government funding.

The basis of empirical research is a unique hand-collected database covering Hungarian government-backed VC (GVC) investments. Based on the financial data of investee firms, the authors investigate whether firms financed by hybrid VC involving market participants are able to outperform firms that receive pure public financing using panel regression.

Based on Hungarian evidence, hybrid VC-backed firms generated lower growth and employment than their purely government-backed peers. Both schemes showed meagre innovation activity. The conclusion is that because of the conflict of private and economic policy objectives in hybrid financing, the exposure of hybrid risk capital to moral hazard is higher than that of pure public financing. Private interests in hybrid funds can only improve investment efficiency if they are structured along the lines of market-based independent financial intermediation and the contracts imitate the ones existing amongst limited and general partners in private schemes.

The research covers the data of Hungarian government-backed firms by tracking the full range of 86 investments made in the purely government scheme and 340 firms that received funding in the hybrid scheme. The research focuses on two government initiatives, and the results are influenced by the specific regulation of the programs; therefore, the results cannot be generalized for all government agendas; they are indicative in the designs of the agendas.

There is a limited number of empirical studies investigating the impact of VC in developing markets, especially in the Central and Eastern Europe region. This firm-level research on the impact of public VC can help improve the effectiveness of development policies. By analysing the entirety of investments of a VC program that is near to its completion, the authors provide new insight into the efficiency and prospects of GVC schemes in the region.