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This study aims to identify the political alignment and political activity of the 11 Presidents of Britain’s most important scientific organisation, the Royal Society of London, in its early years 1662–1703, to determine whether or not the institution was politically aligned.

There is almost no information addressing the political alignment of the Royal Society or its Presidents available in the institution’s archives, or in the writings of historians specialising in its administration. Even reliable biographical sources, such as the Oxford Dictionary of National Biography provide very limited information. However, as 10 Presidents were elected Member of Parliament (MP), The History of Parliament: British Political, Social and Local History provides a wealth of accurate, in-depth data, revealing the alignment of both.

All Presidents held senior government offices, the first was a Royalist aristocrat; of the remaining 10, 8 were Royalist or Tory MPs, 2 of whom were falsely imprisoned by the House of Commons, 2 were Whig MPs, while 4 were elevated to the Lords. The institution was Royalist aligned 1662–1680, Tory aligned 1680–1695 and Whig aligned 1695–1703, which reflects changes in Parliament and State.

This study establishes that the early Royal Society was not an apolitical institution and that the political alignment of Presidents and institution continued in later eras. Furthermore, it demonstrates how the election or appointment of an organisation’s most senior officer can be used to signal its political alignment with government and other organisations to serve various ends.

Value creation for society from public projects requires that the overall benefits exceed the use of taxpayers' money. At the same time, cost overruns in public projects are a well-documented feature in the literature, but practical guidance on reducing the extent and magnitude of overruns is rare. In 2000, Norway introduced a governance regime that includes mandatory external quality assurance (QA) of cost estimates for major public projects. This paper compares the cost performance of public projects on each side of this QA scheme.

We use an original dataset covering 1,704 projects from 2000 to 2021, reported first-hand from Norwegian public agencies. We apply quantitative methods in the form of descriptive statistics, regression models, and statistical testing of hypotheses to answer our research questions.

The mean cost overrun across projects in our dataset is smaller than several previous international studies have reported. We find no statistical support for different cost performances between QA and non-QA projects. Secondly, cost overruns seem to vary between different public sectors. A third finding is a small development with lower cost overruns over time for the non-QA projects, and we raise the question of whether the QA scheme has contributed to overall learning effects. The fourth finding is that cost deviations are quite independent of project size.

The paper offers novel insights for decision-makers and researchers on the effects of external quality assurance on cost performance in public projects.

The paper aims to provide companies with a better understanding of the needs of institutional investors to improve the disclosure of sustainability information by companies. The study investigates the changed information needs of institutional investors resulting from the Sustainable Finance Disclosure Regulation (SFDR).

This study uses an internet-based survey instrument amongst institutional investors to gain insights into their needs regarding sustainability information. The authors received 155 responses in total and use descriptive statistics and t-tests to analyse the survey data.

The results demonstrate that the implementation of the SFDR challenges institutional investors, as it affects their decision process. Additionally, the findings still indicate a lack of available corporate sustainability information, making it even more challenging for institutional investors to make appropriate investment decisions. Respondents suggest that information on climate-related risks is more important than the European Union (EU) Taxonomy metrics for meeting the SFDR requirements.

The findings are mainly restricted to the opinion of European investors. However, the evidence contributes to the existing literature by investigating institutional investors' information needs in the new regulatory landscape.

As the study provides insights into institutional investors' needs, reporting companies recognise the relevance of transparently providing sustainability information to be further considered in the investment process of institutional investors despite the regulation. The findings can help regulators develop uniform and global sustainability reporting standards.

This paper is the first to provide evidence on sustainability information requested on the institutional investors' side. The survey gathers primary data from professional investment members unavailable in databases or reports.

The Canadian Society for Medical Laboratory Science (CSMLS) Peer Support Project was a formal and virtual peer support group pilot for medical laboratory professionals in Canada to determine its application for CSMLS members and obtain information regarding the current state of medical laboratory professionals’ mental health, well-being and burnout. CSMLS learned what is contributing to stress at work, coping strategies and barriers to accessing support or help for their mental health among medical laboratory professionals.

The qualitative and exploratory pilot study examined medical laboratory professionals from Canada. Two peer support groups were facilitated in April and May 2022 by a trained mental health clinician. Peer support delivery was virtual and delivered via Zoom. The purposive sample featured medical laboratory technologists, Educators and Supervisors/Directors who were CSMLS members. The qualitative analysis was conducted via analytical memos and incorporated both manual and NVivo software analysis.

Overall themes were identified within the data analysis and included barriers to mental health care; increased stigma for mental health; mixed messaging regarding mental health; feeling invisible; medical laboratory professionals would like to manage stress better but their increasing workload demands and challenges with scheduling and staffing add to their stress. Participants also highlighted their role and its context using metaphors such as “the silent firefighters”, and “the Bass Guitar of the Hospital”. Based on the evaluations, the peer support sessions encouraged participants to address their own mental health, validate their experiences and increase their comfort level in discussing mental health.

It identified a potential resource for medical laboratory professionals and determined that further mental health resources would be beneficial for their field. It also identified their strong commitment to patient care and their role as a medical laboratory professional.

To the best of the authors’ knowledge, this study is one of the first to examine peer support as a mental health resource for medical laboratory professionals. Additionally, its focus was on a Canadian population with virtual delivery.

The circular economy (CE) has been endorsed as representing a model that is able to achieve environmental protection through decreased use of raw materials, together with changing economic values and social inclusion thanks to its demand for a wide variety of skill profiles. This has motivated many policy initiatives to support the implementation of the CE. The purpose of this study is to follow such policy initiatives in three geographically anchored industry-specific networks.

The study contributes to the research debate on the CE through a spatial approach with a focus on how the implementation of the CE is conditioned by spatial and regional contexts. The authors investigate three different networks in Sweden for CE with different locations and industrial profiles.

The findings reveal the difficulty that exist in relation to the implementation of the CE. The network and support functions in combination with private industry are vital. The risk of sustaining an uneven regional economic development is evident.

Although research on the development of the CE has proliferated, geographical approaches to this development are comparably rare to date. The authors seek to contextualise the strategy development and policy implementation of a CE policy.

This study investigated how sources of information across social media platforms influence fantasy users’ sport consumption and enhance their performance expectancy. Specifically, we examined the effects of social media-related motivation on fantasy users’ playing skills, sense of competition and performance expectancy based on the uses and gratifications theory.

Data were collected from 453 fantasy sport users on social media platforms. We conducted confirmatory factor analysis to assess a measurement model and used serial mediation techniques to examine the relationship between social media-related motivation and fantasy sport users’ performance expectancy.

Results showed that social media-related motivation had significant and positive impacts on fantasy users’ playing skills, sense of competition and performance expectancy. Additionally, we found that fantasy users’ playing skills increased their sense of competition and performance expectancy. A sense of competition was found to positively affect fantasy users’ performance expectancy.

This study provided a valuable contribution to the existing body of knowledge on social media by investigating the influence of social media-related motivation on fantasy sport users. The findings reveal that sharing content-based information on social media platforms plays a vital role in attracting and motivating individuals to engage in fantasy sports. The updated information enhances the playing skills of fantasy users, fosters a sense of competition and improves performance in virtual sport.

To assist Malaysian public-listed companies (PLCs) in preparing corporate social responsibility (CSR) reports, Bursa Malaysia Berhad (BMB) launched the second edition of the Sustainability Reporting Guide (SRG) in 2018. This new SRG edition has several additional requirements for CSR reporting (CSRR), the most important of which is a chapter on assurance which provides detailed guidance on how it may be carried out. This study aims to determine whether the new SRG edition influences the extent of CSRR, and whether such effect is moderated by the provision of assurance on CSRR. It also aims to identify whether amending CSRR regulations and providing assurance on such reporting indirectly influences firm value through the possible improvement in the extent of CSRR.

This study performed a content analysis of the CSRR of a sample of Malaysian PLCs that maintained their positions among the top 100 companies by market capitalization between 2017 and 2020 to determine the extent of CSRR for the two years before and two years after the implementation of the new edition of SRG. This study conducted different statistical analyses to indicate whether the implementation of the second edition of SRG has an effect on enhancing the extent of CSRR, and whether the provision of assurance on such reporting moderates such an effect. This study then used instrumental variable regressions to examine the influence of the predicted extent of CSRR on firms’ value measured by Tobin’s Q.

This study found that the implementation of the second edition of SRG has a positive and significant influence on the extent of CSRR. This effect is strengthened by the provision of assurance on CSRR. Instrumental variable regressions also indicate that enhancing the extent of CSRR affected by the second edition of SRG is linked to higher firm value.

To the best of the authors’ knowledge, this study is one of the first to assess the determinants and implications of CSRR among Malaysian companies after adopting the second edition of SRG.

This paper empirically investigates the demand for pastured eggs in the United States and evaluates the welfare consequences of Japan's egg import tariff reductions for the US consumers.

Using household-level Nielsen Homescan panel data, a fixed-effects Heckman two-stage sample selection model is estimated.

The estimation results ascertain the importance of a set of household socioeconomic characteristics, which are found to influence both the purchase probabilities and the consumption amounts associated with pastured eggs. In addition, demand for pastured eggs is estimated to be inelastic, and pastured eggs are found to be a normal good, more specifically a luxury.

The dataset used in this study reflect purchases only for at-home consumption, lacking information on away-from-home purchases.

Building upon previous research, this study makes the following distinct contributions to the current literature. To the best of our knowledge, it constitutes the first study to empirically examine the demand for pastured eggs, using household-level panel data and an estimation model that not only allows for left-censoring but also controls for regional and time fixed effects. Second, the present study reflects a unique effort in analyzing the adverse welfare consequences of the increased egg prices in the United States brought by a reduction of Japanese import tariffs on US-supplied eggs, focusing specifically on pastured eggs.

With proper design and work planning, falls through fragile skylights are preventable. Skylights pose a hazard to workers when their work tasks for operations, maintenance and repair require them to be on roofs. The National Institute of Occupational Health and Safety produced guidelines and special alerts to address the dangers that are present around skylights, and the Occupational Safety and Health Administration regulations have prescriptive requirements for work performed around skylights, and yet incidents still occur. The purpose of this study is to investigate and raise awareness for the causality of the incidents involving skylights in the USA.

The authors investigated and analyzed 204 incidents involving skylights recorded by the Bureau of Labor Statistics to characterize their nature and to determine any correlation with the roof environment or the nature of the work performed. Using Google Earth and Google Maps roof geometry, proximity of skylights to roof edge and rooftop mechanical equipment was determined.

The majority of falls through skylights occur during roof maintenance and repair activities. Falls through skylights are underreported. Because of a general lack of good design to reduce or eliminate the risk of falling through skylights, facility managers carry the burden to properly assess work and access on roofs where fragile skylights are present.

The phenomenon of falling through skylights was made aware on a national level in the USA in 1989; however, little has been done from a design and planning perspective to reduce these incidents. This paper presents a unique perspective on the role of facility managers in understanding the hazards associated with roof maintenance near skylights.

Managing weeds and pests in cropland is one of the major concerns in agriculture that greatly affects the quantity and quality of the produce. While the success of preventing potential weeds and pests is not guaranteed, early detection and diagnosis help manage them effectively to ensure crops’ growth and health

We propose a diagnostic framework for crop management with automatic weed and pest detection and identification in maize crops using residual neural networks. We train two models, one for weed detection with a labeled image dataset of maize and commonly occurring weed plants, and another for leaf disease detection using a labeled image dataset of healthy and infected maize leaves. The global and local explanations of image classification are obtained and presented

Weed and disease detection and identification can be accurately performed using deep-learning neural networks. Weed detection is accurate up to 97%, and disease detection up to 95% is made on average and the results are presented. Further, using this crop management system, we can detect the presence of weeds and pests in the maize crop early, and the annual yield of the maize crop can potentially increase by 90% theoretically with suitable control actions

The proposed diagnostic models can be further used on farms to monitor the health of maize crops. Images obtained from drones and robots can be fed to these models, which can then automatically detect and identify weed and disease attacks on maize farms. This offers early diagnosis, which enables necessary treatment and control of crops at the early stages without affecting the yield of the maize crop

The proposed crop management framework allows treatment and control of weeds and pests only in the affected regions of the farms and hence minimizes the use of harmful pesticides and herbicides and their related health effects on consumers and farmers.

This study presents an integrated weed and disease diagnostic framework, which is scarcely reported in the literature