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Buckling should be carefully considered in steel assemblies with members subjected to compressive stresses, such as bracing systems and truss structures, in which angles and built-up steel sections are widely employed. These type of steel members are affected by torsional and flexural-torsional buckling, but the European (EN 1993-1-2) and the American (AISC 360-16) design norms do not explicitly treat these phenomena in fire situation. In this work, improved buckling curves based on the EN 1993-1-2 were extended by exploiting a previous work of the authors. Moreover, new buckling curves of AISC 360-16 were proposed.

The buckling curves provided in the norms and the proposed ones were compared with the results of numerical investigation. Compressed angles, tee and cruciform steel members at elevated temperature were studied. More than 41,000 GMNIA analyses were performed on profiles with different lengths with sections of class 1 to 3, and they were subjected to five uniform temperature distributions (400–800 C) and with three steel grades (S235, S275, S355).

It was observed that the actual buckling curves provide unconservative or overconservative predictions for various range of slenderness of practical interest. The proposed curves allow for safer and more accurate predictions, as confirmed by statistical investigation.

This paper provides new design buckling curves for torsional and flexural-torsional buckling at elevated temperature since there is a lack of studies in the field and the design standards do not appropriately consider these phenomena.

Artificial intelligence (AI) has the potential to dramatically change the human approaches to work, and specifically to learning and development. While AI coaching can reduce costs and increase accessibility, it also presents both opportunities and threats to human coaches. The objective of this study was to conduct a systematic literature review of peer-reviewed research on the use of AI in coaching.

A systematic literature review (SLR) method was used to search eight databases for articles produced up to March 2024. Data extraction was conducted, with Quality Assessment undertaken independently, in parallel, using two researchers and a third arbiter. The ROBINS-I tool was used to assess the risk of bias in the included studies. A narrative synthesis of a total of 16 quantitative, qualitative or mixed-method studies covering n = 2312.

The SLR identified four key themes: Research design and AI integration, AI usefulness in coaching, impact of AI coaching and ethical considerations. The findings suggest that AI coaches can be effective, accepted, useful and match human coaches in competence for specific tasks.

AI coaching is a growing area of practice and research. This paper brings together the literature and identifies future research priorities and potential next steps in AI coach development.

The paper uses clinical research SLR methods applying these robust processes to the field of organisational research, to set a new standard through the use of a pre-determined research protocol, quality assessment and ROB, well providing a comprehensive literature review of AI coaching.

This paper provides remarkable insight into the structural components of a firm's core competence and its development via research and development (R&D) activities for innovation and exporting activities.

The authors have used a positivist design and a deductive methodology. The authors have examined the extant literature developing a theoretical framework to empirically investigate the relationships between a firm's core competence, organisational learning (OL), tacitness, dynamic capability and R&D activities. To carry out this investigation, the authors have collected stratified sample data from 330 firms operating in North East England, a peripheral region of England.

The authors have found that there are indeed significant statistical relationships between these structural components, R&D activities and a firm's core competence, and this nexus is pertinent to innovation and exporting. Furthermore, it is found that North East England is significantly constrained by the lack of finance, technological capability, experts and brain drain. Based on these findings, the authors propose a cooperative R&D framework to narrow down these constraints to assist firms in developing core competencies for innovation and exporting in peripheral regions.

There is an urgent need to investigate the incidence of knowledge-driven activities, R&D, the extent of innovation and exporting activities of firms operating in North East England, a peripheral region of the United Kingdom (UK).

This study provides an original and systematic investigation of the firm's core competence and its formation via key structural components for innovation and exporting within an empirical framework.

Digital technologies have fundamentally changed organizations, industries, and even the society. Although institutional theory provides rich array of perspectives to both the content and dynamics of such changes, research at the intersection of institutional scholarship and digitalization has remained scarce. In this essay, I draw on the institutional logics perspective to elaborate digitalization as involving a new set of interconnected managerial beliefs and norms, organizational practices, and diverse material and social structures that together complement and challenge the established logics in organizations and institutional fields. I draw attention to two central organizing principles in the logic of digitalization: the pursuit of digital omniscience – the efforts to represent and conceive the world through digital data – and digital omnipotence – the efforts to bring activities inside and outside organizations under the control of information systems. I conclude the essay by elaborating how the institutional logics perspective can help understand organization-level efforts to leverage digitalization by incumbent corporations and new digital-native companies.

The purpose of this paper is to analyse the role that different financial sources and financial specialization have on private research and development (R&D) activity in OECD countries.

The authors developed several panel regressions choosing as a final model a two-way random effects regression to understand which funding sources are related to the R&D expenditure, and how financial specialization has links to the private portion of R&D aggregated expenditure. The authors include data from the years 2000 to 2016 for OECD countries.

The results reinforce the critical role that stock markets have in enhancing private R&D and that bond markets have an inverse relationship with private R&D national expenditures. The authors do not find evidence of a link between bank sources and private R&D. Specialized financial systems (banking or market) support innovation in a better way than a mixed arrangement of those two systems.

The findings of this study have considerable policy implications. Policymakers need to be aware of these results, given that some variables related to financial markets, seems to boost the inputs for R&D. In the long term, this could be a signal that national and regional systems of innovation need a broad view of the factors hampering scientific activity, and also a signal that there are other ways to impact the results of the complex innovation activity through the development of stronger financial systems backing up national systems of innovation.

The authors found that the long discussion about the financial system that a country has to choose to enhance growth with R&D&I may have been misleading the public policy. The findings show that rather than a bank or a stock market financial system, economies looking to boost R&D&I, must specialize in one of the two systems, deepen these and generate the appropriate policies to promote science, technology and innovation using those financial markets.

Purpose – Intravenous leiomyomatosis (IVL) is a very rare subtype of leiomyoma, involving the right obstruction of the heart, and is an unusual cause of outflow tract obstruction. The IVL grows from the vessel’s smooth muscle, protruding into the vessel’s lumen, and can expand to the right atrium and even beyond causing death due to blood flow obstruction into the right atrium and even to pulmonary artery.

Design/Methodology/Approach – We present a 33-year-old Indonesian woman with cardiopulmonary symptoms predominantly, and marked by an intravascular leiomyoma extending from inferior vena cava (IVC) to right chamber atrium, with the chief complaint being easily fatigued since seven months.

Findings – Echocardiography observations found a mass in the right atrium and the IVC that caused dynamics obstructed in tricuspid valve, right atrium and ventricle were dilated, no left ventricular (LV) hypertrophy, normal LV and right ventricular (RV) functions, and no valve abnormality except the tricuspid valve gradient being 21 mmHg with mild regurgitation. Venography resulted in a mobile tumor mass in IVC mouth which partially flew into the right atrium, and partially blocked the IVC mouth. Tumor size was 6.4 cm × 4.8 cm. Abdominal multislice computed tomography resulted in a residual soft tissue mass (leiomyoma) along the IVC extended to the right atrium. The tumor mass size in the IVC and the right atrium was bigger compared to tumor mass on July 2008. The correct diagnosis was established during surgery; therefore a two-stage resection was done.

Originality/Value – Surgical resection is the best treatment for intracardiac extension of intravenous leiomyoma. To remove the ilio-caval portion, iliac venotomy was recommended for the tumor in both stages of the surgeries.

This study contributes to a better understanding of the important actor-specific, micro-level legitimacy dimensions in dynamic entrepreneurial ecosystems (EEs).

Using an embedded case study approach and rich longitudinal data collected over 16 years within a French EE, the study analyzes the legitimacy gaining process of two actors coming from opposite founding conditions.

Three dimensions of legitimacy (3L) are necessary to be accepted as functional actors within EEs: institutional legitimacy (IL) refers to the EE's acceptance of an actor as an institution active in the field of entrepreneurship; cultural legitimacy (CL) means that the actor is recognized as possessing and promoting values considered appropriate by the entrepreneurial community; relational legitimacy (RL) relates to the willingness of the entrepreneurial community to interact with the actor. These are complementary dimensions that members of EEs need to possess to acquire full legitimacy. Different paths are possible to achieve this full legitimacy.

Replicating the study with a comparative approach including more actors could represent an interesting avenue for research.

This research provides insights into the underlying dimensions of legitimacy in EEs, how various actors gain legitimacy in such contexts and how this influences the dynamics of EEs.

The results provide novel insights into the issue of legitimacy in EEs and legitimacy theory in general.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

This study aims to explore and analyse building energy performance (BEP) policies and regulations worldwide. It presents a perspective on the status quo of policy packages for the built environment. This study spans the six years between 2018 and 2023 to give a broad overview of the BEP policy landscape.

An exploratory search of secondary sources was conducted within a six-year timeline. The six-year period enabled the creation of a pre- and post-COVID baseline through which comparisons of policy trends could be made. The International Energy Agency (IEA) and Scopus databases were the principal sources of relevant literature. A data extraction tool and four research questions were used to ensure the relevance of the selected sources. The primary limitation of this work is that the chosen time frame limited the number of policies and regulations investigated.

At the time of writing this paper, 272 were retrieved from the IEA database, together with 65 eligible studies from the Scopus database. After data analysis, it was established that most national policies target renewable energy installations, heating and cooling of buildings, net-zero ambitions, fiscal instruments and long-term national interests. However, most studies focus on BEP policy assessment, renewable energy and the social impact of policies. Furthermore, four main findings emerged from the analysed data. These point to fragmentation of policy goals across the BEP landscape, institutional influence in energy policy formulation and little consideration of socio-economic-environmental impacts within BEP policy packages.

This research contributes to the discourse on BEP policies and regulations by bringing BEP policy to the forefront. It highlights a fragmented BEP policy landscape and advocates for improved collaboration between academia, the private sector and policymakers to encourage accountability for the life-cycle energy performance of buildings and their services within policy frameworks. Additionally, this research identifies a need for integrative and holistic policy solutions.

The purpose of this study is to investigate and analyse the potential of existing buildings in the UK to contribute to the net-zero emissions target. Specifically, it aims to address the significant emissions from building fabrics which pose a threat to achieving these targets if not properly addressed.

The study, based on a literature review and ten (10) case studies, explored five investigative approaches for evaluating building fabric: thermal imaging, in situ U-value testing, airtightness testing, energy assessment and condensation risk analysis. Cross-case analysis was used to evaluate both case studies using each approach. These methodologies were pivotal in assessing buildings’ existing condition and energy consumption and contributing to the UK’s net-zero ambitions.

Findings reveal that incorporating the earlier approaches into the building fabric showed great benefits. Significant temperature regulation issues were identified, energy consumption decreased by 15% after improvements, poor insulation and artistry quality affected the U-values of buildings. Implementing retrofits such as solar panels, air vents, insulation, heat recovery and air-sourced heat pumps significantly improved thermal performance while reducing energy consumption. Pulse technology proved effective in measuring airtightness, even in extremely airtight houses, and high airflow and moisture management were essential in preserving historic building fabric.

The research stresses the need to understand investigative approaches’ strengths, limitations and synergies for cost-effective energy performance strategies. It emphasizes the urgency of eliminating carbon dioxide (CO₂) and greenhouse gas emissions to combat global warming and meet the 1.5° C threshold.