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This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase, construction companies must assess the scope of each task and map the client’s expectations to an internal database of tasks, resources and costs. Quantity surveyors carry out this assessment manually with little to no computer aid, within very austere time constraints, even though these results determine the company’s bid quality and are contractually binding.

This paper seeks to compile applications of machine learning (ML) and natural language processing in the architectural engineering and construction sector to find which methodologies can assist this assessment. The paper carries out a systematic literature review, following the preferred reporting items for systematic reviews and meta-analyses guidelines, to survey the main scientific contributions within the topic of text classification (TC) for budgeting in construction.

This work concludes that it is necessary to develop data sets that represent the variety of tasks in construction, achieve higher accuracy algorithms, widen the scope of their application and reduce the need for expert validation of the results. Although full automation is not within reach in the short term, TC algorithms can provide helpful support tools.

Given the increasing interest in ML for construction and recent developments, the findings disclosed in this paper contribute to the body of knowledge, provide a more automated perspective on budgeting in construction and break ground for further implementation of text-based ML in budgeting for construction.

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 analyze what Samarco and Brazilian magazines speak and say about Mariana’s environmental crime. Discover their doxa in this subject. Interpret the speakings, sayings and doxas through the theories of the treadmills of production, crime and law.

It is a qualitative and documental research and a narrative analysis. Regarding the documents: 45 were from public authorities, 14 from Samarco Mineração S.A. and 73 from Brazilian magazines. Theoretically, the authors resorted to Bourdieusian sociology (speaking, saying and doxa) and the treadmills of production, crime and law theories.

Samarco: speaking – mission statements; saying – detailed information and economic and financial concerns; doxa – assistance discourse. Brazilian magazines: speaking – external agents; saying – agreements; doxa – attribution, aggravations, historical facts, impacts and protests.

The absence of discussions that addressed this fatality, with its respective consequences, from an agenda that exposed and denounced how it exacerbated race, class and gender inequalities.

Regarding Mariana’s environmental crime: Samarco Mineração S.A. speaks and says through the treadmill of production theory and supports its doxa through the treadmill of crime theory, and Brazilian magazines speak and say through the treadmill of law theory and support their doxa through the treadmill of crime theory.

To provoke reflections on the relationship between the mining companies and the communities where they settle to develop their productive activities.

Concerning environmental crime in perspective, submit it to a theoretical interpretation based on sociological references, approach it in a debate linked to environmental criminology, and describe it through narratives exposed by the guilty company and by Brazilian magazines with high circulation.

The purpose of this paper is to examine competence management practices in Brazilian industries using ISO 10015 as a framework of analysis, which establishes guidelines for competence management and people development.

A survey was conducted with 22 high-qualified human resources management (HRM) professionals (81.8% of participants hold a PhD) with extensive experience in the Brazilian industrial sector (an average of 20.4 years). The experts assessed 13 practices (P) elaborated based on the ISO 10015:2020, considering two categories: large industries (LI) and small and medium-sized industries (SMI). Data analysis was performed using Hierarchical Cluster Analysis, frequency analysis, Fuzzy TOPSIS and sensitivity analysis.

The practice “individual competences are correctly defined by organizations at all hierarchical levels” was deemed the best practice for LIs, while the practice “clear definition of activities and their specificities when structuring competence management and people development programs” was considered the best practice for SMIs. The practice “organizations map employees' future competence and development needs on a regular basis” received the lowest rating for both LIs and SMIs. When compared to LIs, SMIs have more severe deficiencies in applying competence management practices. The study's findings can be of great value in assisting managers in implementing structured competence management systems and people development initiatives.

The findings of this study can be used by managers of businesses of all sizes and economic sectors to analyze their critical points in order to identify opportunities to improve their competence management systems and people development programs.

This study fills a knowledge gap by analyzing the adoption of competence management practices in Brazil, answering the call for HRM research in developing countries. By using ISO 10015 as a framework of analysis, this study also addresses the literature gap regarding this important and relatively new management tool.

Humans now enjoy a better life because of Artificial Intelligence (AI). AI has a significant impact on the creation of smart cities. Modern applications based on big data, Internet of Things (IoT) systems, and deep learning require extensive use of complex computational solutions. Thus, the following problems arise: (1) what are smart cities? (2) what is AI? (3) How is AI used in smart cities? To respond to this problem, the following objective was set: to map how AI is used in smart cities. For this purpose, a qualitative methodology based on a narrative analysis of the literature was used. It is concluded that AI and smart cities are complementary technologies that can assist cities in tackling difficult issues including public safety, transportation, energy management, environmental monitoring, and predictive maintenance. This chapter’s findings, while broadly applicable, offer valuable insights into the Gulf region’s unique context, where rapid urbanization and technological adoption intersect with cultural and environmental considerations. The integration of AI in smart cities presents a promising avenue for the Gulf region to address its specific challenges and leverage its economic and infrastructural strengths, thereby contributing to the broader goals of innovation, development, prosperity, and well-being as envisioned in the region’s Vision 2040 initiatives.

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.

Following Howard Bowen's legacy for responsible business practices, together with the actual growing pressure of societal problems, such as climate change, social inequality, geopolitics instability, etc., business leaders all around the world are being asked, if not demanded, to show and act as action persons who effectively contribute to a better common value creation. This confluence of situations has led to many CEOs feeling pressured to take a stand in sociopolitical themes, many times outside their businesses' areas, which have become known as CEO activism.

This study aimed to explore if and how this international growing trend is manifesting in the Portuguese context, by exploring the perspective of Portuguese CEOs on the topic, the course of action that they are taking, and how they evaluate risks and opportunities.

For these purposes, we implemented a qualitative methodology based on interviews to 24 Portuguese CEOs and used thematic analysis to explore them. Our findings reveal that, although Portuguese CEOs are aware of this trend, they acknowledge both risks and opportunities, and their activism is still incipient. Plus, they strongly believe that CEO activism must be aligned with the values and mission of the organization they represent. Finally, Portuguese CEOs are convinced of activism being genuine, and therefore should be first implemented within the organization, which is where most of them focus their action. Our work provides an original mapping of the CEO activism landscape in Portugal and an insightful discussion of the CEO's perspective on this growing phenomenon.

This paper aims to understand the two-way interaction between corporate social responsibility (CSR) and the attractiveness of organization to job seekers (AOJS).

A system dynamics model is developed in the form of a causal loop diagram (CLD) that explains the CSR-AOJS interaction dynamically. To test the credibility of the developed model, the survey data are used to validate the causal relationships in the CLD.

This study found that developing an effective strategy or tool by capturing various essential CSR elements can attract potential job seekers.

The developed model is relevant to policymakers, decision-makers and managers when strategizing the CSR plan to attract potential job seekers.

The significance of event tourism in destination development underscores the importance of assessing the quality of events and their sustainability for competitiveness. This study investigates tourists’ perceptions of service quality and sustainability at the “Biggest São João in the World” event in 2023. Employing a quantitative approach, we conducted field research using questionnaires based on the Tourqual model, integrating sustainability indicators to address environmental impacts associated with such events. Data collection took place between June and July 2023, with a non-probabilistic convenience sample of 709 visitors. Descriptive statistics were applied to the 2022 survey data (397 respondents), on the 2023 data (709 respondents). Results reveal that the event’s diverse activities received the highest average rating at 4.03, while the use of sustainable transport during the event garnered the lowest rating at 1.93. This emphasizes the need for event organizers to implement continuous improvement plans, focusing particularly on areas with critical evaluations to enhance visitor satisfaction. This study’s originality and innovative approach contribute valuable insights for event managers and researchers and promote both local development and environmental awareness.