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This paper aims to explore the characteristics of lifting accidents and the significance of influencing factors and explain the causes from the perspective of human factors, thereby achieving a more accurate understanding of and prevention of lifting accidents.

A mixed simulation model for prefabricated component lifting is established by combining discrete event simulation (DES) with the system dynamics (SD) method. In addition, essential parameters and relationships within the system dynamics model are determined through survey questionnaires. Finally, the human factors analysis and classification system (HFACS) is used to analyze the cause of the accident.

The results show that workers falling from height and workers struck by objects are the most frequent types of lifting accidents. In 2072 experiments, these two types of accidents occurred three and five times, respectively. Besides, the links of “crane movement,” “component binding,” “component placement” and “component unhooking” are particularly prone to lifting accidents. In addition, the completeness of emergency plans, failure to observe the status of the tower crane and lack of safety education and training have emerged as primary influencing factors contributing to the occurrence of lifting accidents.

The findings of the study can serve as a reference basis for practitioners, enabling them to preemptively identify possible risk accidents and adopt corresponding measures to prevent them, ensuring the safety and property of practitioners. Additionally, targeted suggestions and innovative ideas are provided to enhance the safety guarantee of the lifting industry and promote its healthy and stable development through a more concrete theoretical foundation and practical guidance.

This paper aims to model the impact of corporate social responsibility practices (CSRP) on job seekers’ organisational attractiveness (JSA) with particular reference to two Indian states, i.e. Andhra Pradesh (AP) and Odisha (OD). Further, the paper examines whether there are any significant variations in the perception of job seekers in these two states.

The sample for this exploratory research consisted of 943 business management students of AP and OD. The model was developed using the hierarchical component model method, and the associations were examined using partial least squares structural equation modeling (PLS-SEM). Furthermore, PLS-multi group analysis (PLS-MGA) was used to analyse the specific differences between two sample groups.

The study found that the CSR constructs, i.e. economical, legal, ethical and philanthropic, have a positive significant effect on CSRP for both groups of job seekers. The study also argued that the company selection by job seekers based on high or low CSR practices has no moderating effect on both sample groups for economical, legal, ethical and philanthropic dimensions. Further, the result revealed that the age and gender variables could not make any significant differences in the perceptions of job seekers.

The study provides research-based insights to relevant stakeholders (institutions, corporate, government and policymakers) that would be used in formulating strategies to strengthen the relationship between CSRP and JSA.

The study investigates CSR’s effect on organisational attractiveness from the theoretical lens of Carroll’s pyramid for two groups of job seekers. Limited studies have examined the complexity of this association with such a research context. The result guides educators, corporate, governments, practitioners and job seekers working on CSRP and JSA.

Despite several attempts to integrate building information modeling (BIM) with building circularity assessment (BCA), no systematic review has yet been carried out on this topic to the best knowledge of the authors. The objective of this review is to fill this gap by reviewing the current attempts, identifying the tools and exploring the state-of-the-art in BIM and BCA.

A systematic literature review (SLR) methodology was employed. A total of 30 documents published between 2015 and 2023 were selected and analyzed across the concept, methodology and value dimensions.

There has been an increase in the development of BIM-based BCA tools in recent years, with the Netherlands taking the lead. Most tools developed were based on the material circularity indicator (MCI) and by using Autodesk Revit as BIM software. Three integration approaches for BIM with BCA were identified: (1) using an external platform; (2) linking an external database to BIM and (3) within the BIM environment. The review has revealed that still there is no standard for BCA, and interoperability and lack of circularity databases are the major challenges.

Although the paper has made contributions, it is important to recognize certain limitations. One of these is the inability to explore all the tools in depth as some of them are not available or accessible. Another limitation is the relatively small number of studies that were reviewed, primarily because there is a lack of research in this area due to the BIM-based BCA is still in its infancy compared to the BIM-based LCA.

This study contributes to providing a comprehensive up-to-date overview of recent advancements in BIM–BCA integration, as well as a framework for understanding its concept, methodology and value dimensions. It also highlights significant areas where practitioners and researchers can identify knowledge gaps and future research directions.

The impact of dependence on self-care on people’s lives is very significant, with consequences for the person and their caregivers. The purpose of this study is to map the evidence on the factors that influence the empowerment of the person dependent on self-care on returning home.

Scoping review according to the criteria proposed by the Joanna Briggs Institute: population (people with a dependence on self-care), concept (factors that influence training) and context (return home after hospitalization in a medical-surgical context). The research was carried out from March 1 to April 30, 2022, in the databases CINAHL and MEDLINE (via EBSCO), Scielo, LILACS, Cuiden and MedicLatina; Gray literature searched RCAAP, DART-Europe and OpenGrey. Studies published in Portuguese, Spanish and English were included, with no time limit.

One hundred and eighty-one articles were obtained, which, after analysis according to the criteria, resulted in seven studies included for review, ranging from 2007 to 2021, with a level of evidence between 2. c and 4. a (according to Joanna Briggs Institute), and two thematic areas/four categories emerging.

The need for information and training, the relationship and proximity with the health-care team, the design of nursing care targeted at the person’s level of dependence, education, gender, type of surgical intervention and postoperative period, physical space and lack of privacy and audiovisual media.

The perception of these factors proves to be important in the person’s training process, with the nurse’s role being highlighted due to their emphasis on the transition home.

The purpose of this paper is to bring into the public domain converging ways of thinking about reality and human systems, exploring parallels between the theory of Physical Vacuum and the concept of Qi in Medical Qigong science.

The approach adopted in this paper includes: review of the relevant literature; dialogues between the first two authors over an eight-month period; review of the findings and discussion of interpretations by all.

There is evidence for the existence of an ideal information field. This field is a real space-time torsion structure. Qi is a torsion field. It spreads with superluminal velocity and connects the whole Universe. Any entity is in a constant dynamic connection with everything else in the Universe.

This paper offers limited discussion of the wider area of scientific discoveries.

The findings may impact future interdisciplinary research, health/well-being practices and public policy.

There is no known to us publication interpreting the parallels between the theory of the Physical Vacuum and the concept of Qi.

In light of the challenges and opportunities posed by globalization and technological advancements, this study aims to develop a decision-support system to assist companies in identifying, structuring and prioritizing variables influencing their transformation and adaptation processes to Society 5.0.

The research employs a methodological approach focused on knowledge creation through expert discussions involving diverse backgrounds. Cognitive mapping and interpretive structural modeling (ISM) guide the process, allowing for the integration of subjective elements into the analysis system while ensuring objectivity through ISM. The methodology involves structuring the decision problem, identifying and ranking key factors and evaluating their cause-and-effect relationships.

The analysis underscores the significance of technology and external factors compared to other areas of interest within the model. Consequently, the study emphasizes the necessity for companies to pay special attention to these types of factors during their transformation processes.

While the study provides valuable insights, the reliance on expert discussions may introduce biases or overlook certain perspectives. Additionally, the findings may not be universally applicable and may require customization based on specific organizational contexts or industries. However, the proposed decision-support system offers a practical tool for companies seeking successful adaptation to Society 5.0.

This study provides a novel approach to addressing the challenges posed by globalization and technological advancements. It presents a valuable resource for organizations striving to adapt effectively in the evolving socioeconomic landscape.

The impacts of institutions on entrepreneurship and innovation, as well as the effects of technological development, have been subject to various research studies. While this theme inherently remains a focus for political decision-makers, there is very little knowledge on the combined role of institutions, entrepreneurial orientations and innovation capabilities on the technological development of countries. In this study, we examine the impacts of entrepreneurial orientation and the innovative capacity of countries through considering the moderating effect of technological development.

The data used in this study has been collected from various sources, including the World Economic Forum United Nations (UN), World Bank (WB), Organization for Economic Cooperation and Development (OECD), World Intellectual Property Organization (WIPO), National Consortium for the Study of Terrorism and Responses to Terrorism (START) and Scimago. The study focuses on 86 countries that are either at stage 2 or stage 3 of development or in the transition from stage 2 to stage 3.

We have found that corporate governance, property rights and security institutions have a positive influence on a country’s entrepreneurial mindset and its ability to innovate. Additionally, we have noted that technological advancements also play a role in moderating this relationship. These findings have important implications for the theory, practice and public policies in this area.

This study emphasizes the substantial impact of institutional quality on the entrepreneurial mindset and innovation capabilities of businesses. It shows that perceiving institutions as more stable can have a positive effect on both entrepreneurial orientation and innovative capabilities, ultimately improving companies' competitiveness.

This study holds the objective of evaluating the impact of formal (e.g. ease of doing business score, start-up procedures to register a business, property rights) and informal (e.g. school life expectancy, collaboration between companies and human capital) institutions on the economic performance of countries in conjunction with the mediating effect of entrepreneurial activities and social performance.

The authors collected quantitative, secondary data from a range of different sources, specifically the World Bank (WB), Global Entrepreneurship Monitor (GEM), World Economic Forum (WEF), Freedom House (FH) and Doing Business (DB) for the years between 2016 and 2018. The authors deployed a quantitative approach based on estimating structural equation models according to the Partial Least Squares (PLS) method.

The authors find that institutions, whether formal or informal, impact positively on economic and social performance with entrepreneurial activities positively mediating the relationship between informal institutions and economic performance and social performance.

The study research holds key implications for strengthening institutional theory. The authors find that our empirical results draw attention to the impact that institutions and their functioning can have on economic performance. Through this alert, the authors aim for researchers, politicians and other diverse decision-makers involved in public policies to prioritise not only the good working of institutions but also fostering entrepreneurship, in order to boost the resulting economic performance.

The study research contributes to the literature by testing the model that links institutions, entrepreneurial activity and economic performance. The authors also help policymakers to become aware of the importance that the quality of institutions has on entrepreneurial activity, and, consequently on economic performance.

This study aims to develop a scale using item response theory (IRT) to assess the entrepreneurial potential for digital transformation in Brazilian companies.

IRT was used to develop a scale for entrepreneurial potential in digital transformation. This scale was constructed from a questionnaire, covering the domains: (1) data-driven culture, (2) openness to knowledge and adaptation to change, (3) connectivity and (4) creativity and innovation. The questionnaire was administered to a sample of 216 entrepreneurs from small business enterprise (SBE) and startups in Brazil.

A questionnaire was developed and validated to assess the latent trait of entrepreneurial potential within the context of digital transformation. Additionally, a three-level scale of entrepreneurial potential was established: low (level I), intermediate (level II) and high (level III). The interpretation of this scale provides valuable information on which domains, such as data-driven culture, innovation, among others, can be enhanced to improve the potential of entrepreneur for digital transformation.

The sample was limited to small Brazilian companies and startups, which may restrict the applicability of the results to other business or geographic contexts. Additionally, the items evaluated in the scale may not fully capture all nuances of entrepreneurial potential for digital transformation. Future research should consider including new items that cover a broader range of entrepreneurial characteristics.

The findings of this study have significant practical implications for the Brazilian entrepreneurial ecosystem, the entrepreneurs themselves, public policy makers and entrepreneurship support institutions. These results can guide digital transformation strategies, adjustments in public policies and investments, thereby promoting economic development and innovation in the country.

This study stands out for using IRT as a robust methodology to develop an interpretative scale to assess entrepreneurial potential in the digital transformation era. By focusing on Brazilian SBEs and startups, the study offers an original contribution on how these companies are handling the challenges of digitalization and identifying areas for improvement to further promote digital transformation among entrepreneurs.

This study aims to bridge the gap in the existing literature by exploring BPM practices applied to HRM to optimize organizational performance, identifying key thematic clusters and highlighting potential areas for future research.

After applying the inclusion and exclusion criteria, 177 papers on BPM practices in HRM were selected. This sample was used for a bibliometric assessment based on the co-occurrence of terms technique. We also described key studies on BPM in HRM.

The analysis identified five key theoretical clusters, highlighted the benefits of BPM in enhancing HRM, such as improved leadership, knowledge management, sustainability, performance and talent management and noted challenges in BPM implementation.

By synthesizing existing literature, this research enriches scholarly understanding and offers practical insights for HR practitioners aiming to optimize organizational performance. The findings emphasize the importance of considering human-centric perspectives in BPM and provide practical guidance for HR professionals aiming to enhance organizational performance through improved BPM practices.