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Ensuring the safety of structures is important. However, when a structure possesses both an implicit performance function and an extremely small failure probability, traditional methods struggle to conduct a reliability analysis. Therefore, this paper proposes a reliability analysis method aimed at enhancing the efficiency of rare event analysis, using the widely recognized Relevant Vector Machine (RVM).

Drawing from the principles of importance sampling (IS), this paper employs Harris Hawks Optimization (HHO) to ascertain the optimal design point. This approach not only guarantees precision but also facilitates the RVM in approximating the limit state surface. When the U learning function, designed for Kriging, is applied to RVM, it results in sample clustering in the design of experiment (DoE). Therefore, this paper proposes a FU learning function, which is more suitable for RVM.

Three numerical examples and two engineering problem demonstrate the effectiveness of the proposed method.

By employing the HHO algorithm, this paper innovatively applies RVM in IS reliability analysis, proposing a novel method termed RVM-HIS. The RVM-HIS demonstrates exceptional computational efficiency, making it eminently suitable for rare events reliability analysis with implicit performance function. Moreover, the computational efficiency of RVM-HIS has been significantly enhanced through the improvement of the U learning function.

This study aims to integrate the Social Cognitive Career Theory with the Theory of Planned Behavior to unravel the intricate dynamics of how engaging with ChatGPT affects individuals’ digital entrepreneurial intention, underlying the serial mediation mechanism of the cognitive and reasoned career process.

This research use a cross-sectional design, drawing on a sample of 604 higher education students from six universities in Vietnam. Multiple regression analyses were conducted to test the formulated hypotheses after assessing the reliability and validity of scales through Cronbach’s alpha and confirmatory factor analysis.

The results indicate that ChatGPT adoption significantly increases perceived AI competencies, entrepreneurial opportunity recognition and digital entrepreneurial self-efficacy. Digital entrepreneurial self-efficacy was found to have a positive impact on attitudes toward digital entrepreneurship, which, in turn, fosters digital entrepreneurial intention. ChatGPT adoption thus poses serial indirect impacts on digital entrepreneurial intention through the sequential pathways of enhanced digital entrepreneurial self-efficacy and positive attitudes.

This study’s findings provide valuable recommendations for entrepreneurs, higher education institutions and policymakers.

This research contributes to the entrepreneurship literature by integrating two prominent theoretical frameworks to elucidate how ChatGPT adoption impacts digital entrepreneurial intentions. The serial mediation model expands that understanding of the complex cognitive and reasoned processes involved, providing a novel perspective on the role of AI in entrepreneurship.

Adaptive reuse processes aim to preserve heritage values while creating new values through the architectural interventions that have become necessary. This claim provokes a discussion about the meaning of values, how we can preserve them in practice and how we can translate them into architectural qualities that users experience. Riegl's understanding of the different perspectives of heritage values in the past and present opens up the possibility of identifying present values as a reflection of current social, material and political conditions in the architectural discourse.

This qualitative and practical study compares two Belgian projects to trace the use of values in adaptive reuse projects from an architectural design perspective. The Predikherenklooster, a 17th-century monastery in Mechelen that now houses the public library, and the C-Mine cultural centre in Genk, a former 20th-century coal mine, are compared. The starting point is Flemish legislation, which defines significance through values, distinguishing between 13 heritage values.

The study demonstrates the opportunities that axiological questions offer during the design process of an adaptive reuse project. They provide an overarching framework for tangible and intangible aspects that need to be discussed, particularly in terms of the link between what exists, the design strategy and their effect.

Adaptive reuse can draw on approaches from both heritage conservation and contemporary architecture and explore values as a tool for “re-designing” built heritage.

This study aims to examine the role of intersubjectivity portrayed in employees’ mundane activities in achieving goal congruence between individual and organizational goals within the performance measurement process.

Semi-structured in-depth interviews were conducted with five employees as key informants of each department. Observations were carried out unstructured to collect information about key performance indicator (KPI) and their achievements. Combining the interpretative phenomenological analysis (IPA) and Schutz’s phenomenology, the data analysis stage includes coding (interpretation, condensation and categorization of themes) and thematic analysis.

The findings show employees’ different feelings and actions in achieving their KPIs. Therefore, the anticipations of obstacles in achieving KPI were based on the intersubjective influence of personal goals, company goals, peers, bosses/departments and customers. Thus, in achieving KPI, employees strive to simultaneously achieve personal goals as well as company goals.

Previous literature on management accounting mainly focuses on organizational perspective and less on individual-centred phenomenological perspective. This study tries to fill this gap by exploring how intersubjectivity plays a role in employees’ mundane experiences.

In designing and applying KPI, the company should consider employees’ happiness as it could reflect job satisfaction, leading to high performance.

This study contributes to the literature on goal congruence, performance measurement and management control by extending prior research by Cugueró-Escofet and Rosanas (2013) and Cugueró-Escofet et al. (2019) in empirically portraying how employees perceive goal congruence in the performance measurement process with IPA.

The purpose of this study is to investigate whether business growth intention (BGI) and entrepreneurial motivations enhance the explanatory power of the theory of planned behavior (TPB) to predict environmental intention (EI) among nascent entrepreneurs.

In the context of nascent entrepreneurship, the authors collected data from 193 nascent entrepreneurs in France. To test the hypotheses, stepwise multiple regression was performed.

The results show that BGI has a positive influence on EI. This indicates that it is possible for French nascent entrepreneurs to plan the simultaneous pursuit of business growth and environmental goals. However, entrepreneurial motivations have a mixed effect on EI. If necessity motivations negatively influence EI, opportunity motivations have no significant effect on the latter.

To the best of the authors’ knowledge, this research is among the first to extend the TBP model with additional factors, namely, BGI and necessity/opportunity motivations, to study EI. Moreover, the extended TBP model is validated in the under-research context of nascent entrepreneurship.

This study aims to emphasize the youth community’s importance in sustaining green entrepreneurial efforts. The study used the stimulus organism response framework as the theoretical base using two separate studies.

Study 1 commences the development of the student green engagement construct through a focus group, panel discussion and exploratory factor analysis, which supported five items. Study 2 measures the relationship of student green engagement with green entrepreneurial intention by mediating university entrepreneurial support and entrepreneurial motivation. Data from 448 students were gathered from five Malaysian private institutions using a purposive sampling technique.

Findings indicate a robust association of student green engagement (stimuli) with green entrepreneurial intention (organism). Furthermore, mediation analysis shows strong mediating effects of university entrepreneurial support and entrepreneurial motivation on green entrepreneurship behavior (response).

The study’s findings can help the universities and concerned governmental departments instill a sense of sustainable entrepreneurship in university students.

Despite the growing interest in the field, the literature overlooks how supply chains influence or interact with the United Nations (UN) Sustainable Development Goals (SDGs). To fill this gap, this study aims to assess the influences of Sustainable Supply Chain Management (SSCM) on the implementation of the UN SDGs.

A systematic literature review of 97 publications was carried out by using the Web of Science database and the support of ATLAS.ti software. In addition, this research also explored how the top 20 Forbes companies are aligned with the SDGs by analysing their sustainability reports.

The findings suggest that the literature and the analysed companies primarily concentrate on certain SDGs while neglecting others, revealing potential areas of interest for future research. Based on the findings, the study provides valuable insights into the connections between SSCM and the UN SDGs, highlighting the potential benefits of SSCM in reducing environmental, social and economic pressures and contributing to sustainable development. It also identifies areas where further research and policy development are needed to maximise the potential benefits of SSCM.

To the best of the authors' knowledge, no other studies have conducted a comprehensive exploration of the literature linking SSCM and the SDGs framework. Moreover, the study differs from others since it combines research data with practical information from company reports, to identify specific issues related to supply chain management.

Growing food insecurity is a leading cause of fatalities, particularly in developing nations like Sub-Saharan Africa and Southeast Asia. However, the rising energy consumption and carbon dioxide (CO2) emissions are mostly associated with food production. Balancing the trade-offs between energy intensity and food security remains a top priority for environmentalists. Despite the critical role of the environment in food security, there is a scarcity of substantial studies that explore the statistical connections among food security, CO2 emissions, energy intensity, foreign direct investment (FDI) and per capita income. Therefore, this study aims to provide more precise and consistent estimates of per capita CO2 emissions by considering the interplay of food security and energy intensity within the context of emerging economies.

To examine the long-term relationships between CO2 emissions, food security, energy efficiency, FDI and economic development in emerging economies, this study employs correlated panel-corrected standard error, regression with Newey–West standard error and regression with Driscoll–Kraay standard error models (XTSCC). The analysis utilizes data spanning from 1980 to 2018 and encompasses 32 emerging economies.

The study reveals that increasing food security in a developing economy has a substantial positive impact on both CO2 emissions and energy intensity. Each model, on average, demonstrates that a 1 percent improvement in food security results in a 32% increase in CO2 levels. Moreover, the data align with the Environmental Kuznets Curve (EKC) theory, as it indicates a positive correlation between gross domestic product (GDP) in developing nations and CO2 emissions. Finally, all experiments consistently demonstrate a robust correlation between the Food Security Index (FSI), energy intensity level (EIL) and exchange rate (EXR) in developing markets and CO2 emissions. This suggests that these factors significantly contribute to environmental performance in these countries.

This study introduces novelty by employing diverse techniques to uncover the mixed findings regarding the relationship between CO2 emissions and economic expansion. Additionally, it integrates energy intensity and food security into a new model. Moreover, the study contributes to the literature by advocating for a sustainable development goal (SDG)-oriented policy framework that considers all variables influencing economic growth.

The goal of this article is to provide an overview of healthcare entrepreneurship, both in terms of its current trends and future directions.

The article engages in a systematic review of extant research on healthcare entrepreneurship using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) as the review protocol and bibliometrics or scientometrics analysis as the review method.

Healthcare entrepreneurship research has fared reasonably well in terms of publication productivity and impact, with diverse contributions coming from authors, institutions and countries, as well as a range of monetary and non-monetary support from funders and journals. The (eight) major themes of healthcare entrepreneurship research revolve around innovation and leadership, disruption and technology, entrepreneurship models, education and empowerment, systems and services, orientations and opportunities, choices and freedom and policy and impact.

The article establishes healthcare entrepreneurship as a promising field of academic research and professional practice that leverages the power of entrepreneurship to advance the state of healthcare.

The article offers a seminal state of the art of healthcare entrepreneurship research.

The oil and gas industry form the main resource of economy in Iraq and constructing any project in such sectors requires a huge amount of expenses due to the unique requirements that oil and gas facilities required in such projects. Therefore, adopting an appropriate technological approach such as building information modeling (BIM) which is unfortunately not adopted yet in Iraq is essential to successfully deliver these projects. Thus, this paper aimed to introduce BIM to Iraq through Basra Oil Company (BOC) which is one of the biggest public oil and gas companies in Iraq.

The related literature of journals articles, conference proceedings and published reports have been reviewed. As a result, firstly: a hypothesis has been derived that is “If Basra Oil Company (BOC) adopts and applies BIM approach instead of the 2D approach currently used to manage its projects, the company can overcome several constraints in managing its projects that associated with such 2D traditional approach”; secondly: homogenous, consistence and reliable web-based questionnaire has been designed as its Cronbach’s alpha equal to 0.897 and 0.711 for BIM benefits and barriers, respectively. This questionnaire distributed to the BOC related professionals to test such hypothesis by investigating their readiness and accepting of BIM approach and to rank BIM barriers based on five-point Likert scale.

Based on the analysis using IBM SPSS Statistics 26 of 115 responses, almost 50% of the respondents had experience 11–15 years, while 22.6% had experience more than 15 years in oil and gas industry construction projects. Those participants were from diverse engineering majors that are: 4.3% Architectural Engineers, 31.3% Civil Engineers, 20% Mechanical Engineers, 22.6% Electrical Engineers and 21.7% from other engineering majors. The respondents’ departments demography was 16.5% of design department, 12.2% of construction department, 20.9% of Project Management Department, 12.2% of Maintenance department, 4.3% of HSE Department, 13% of Production Department and 20.9% of “Other Department.” The study resulted in 1: accepting BIM approach to be an alternative of current 2D-traditional approach used by the company to manage and construct its projects, since mean of collected data is (4.4332), Kruskal–Wallis H test significance values were 0.398 and 0.372; and ANOVA test significance values were 0.433 and 0.599 among Engineering Majors groups and Company’s Department groups, respectively. 2: Disclosed and sequenced BIM barriers in the company based on their criticality. 3: verifying reliably how BIM attributes are important to oil and gas construction projects in Iraq, 4: the company top management and company policies are the most critical potential factors to hinder or adopt and implement BIM in the company, 5: while cost is not seen a critical barrier to implement BIM in the oil and gas sector.

The limitation of this study is the excluding of decision makers of BOC, thus more profound future studies need to be conducted where top management and decision makers are involved, particularly the present study demonstrated that support of company top management is the most critical factor which can help the company to adopt (BIM).

The study concludes that BIM approach is valuable for managing projects in oil and gas sector in Iraq and identify the originality in output by using the research method. This noble study provides a leverage for enhanced research to adopt and implement building information modeling (BIM) in Iraq as the study originally demonstrates benefits and identifies the critical barriers in BIM implementation to push the boundaries toward adopt Digitalization and reduce CO2 emission in Iraqi oil and gas sector. The study can be used as evidence and platform to encourage professionals and practitioners to present more sophisticated tools of BIM in the oil and gas industry, especially for facility and operation management. These findings achieved via oil and gas experts, and it is first time to achieve such findings from a case study in Iraqi oil and gas sector.