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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 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 study aims to adapt and validate the Job Crafting Scale (JCS), a measure based on the conceptualization of job crafting of the job demands–resources theory, for a sample of Portuguese workers and to test its psychometric properties regarding validity (factor, convergent, discriminant, and criterion) and reliability.

Two subsamples (n1 = 315 and n2 = 329) of Portuguese workers aged 18 years old and over participated in this research. Exploratory factor analysis and confirmatory factor analysis were used to assess the factor structure.

The results indicated that the Portuguese version of the JCS, with 18 items, has a factor structure composed of four-correlated factors. Furthermore, the results demonstrated the existence of factor, discriminant, and criterion validity, as well as reliability.

This study provides a job crafting measure adapted to the Portuguese language that can serve as a diagnostic tool for workers and organizations.

Este estudio tuvo como objetivo adaptar y validar la Job Crafting Scale (JCS), una medida basada en la conceptualización de job crafting de la Teoría de Demandas-Recursos, para una muestra de trabajadores portugueses y probar sus propiedades psicométricas en cuanto a validez (factor, convergente, discriminante y de criterio) y confiabilidad.

En esta investigación participaron dos submuestras (n1 = 315 y n2 = 329) de trabajadores portugueses de 18 años o más. Se utilizó un análisis factorial exploratorio y un análisis factorial confirmatorio para evaluar la estructura factorial.

Los resultados indicaron que la versión portuguesa del JCS, con 18 ítems, tiene una estructura factorial compuesta por cuatro factores correlacionados. Además, los resultados demostraron la existencia de validez factorial, discriminante y de criterio, así como confiabilidad.

Este estudio proporciona una medida de job crafting adaptada a la lengua portuguesa que puede servir como herramienta de diagnóstico para trabajadores y organizaciones.

Este estudo teve como objetivo adaptar e validar a Job Crafting Scale (JCS), uma medida baseada na conceptualização de job crafting da Teoria das Exigências-Recursos, numa amostra de trabalhadores portugueses e testar as suas propriedades psicométricas quanto à validade (fatorial, convergente, discriminante e de critério) e fiabilidade.

Duas subamostras (n1 = 315 e n2 = 329) compostas por trabalhadores portugueses com 18 ou mais anos foram recolhidas. Foram utilizadas uma análise fatorial exploratória e uma análise fatorial confirmatória para analisar a estrutura fatorial.

Os resultados obtidos indicaram que a versão portuguesa da JCS, composta por 18 itens, possui uma estrutura fatorial composta por quatro fatores correlacionados. Além disso, os resultados demonstraram a existência de validade fatorial, discriminante e de critério, bem como de fiabilidade.

Este estudo fornece uma medida de job crafting adaptada para a língua portuguesa que pode servir como ferramenta de diagnóstico para trabalhadores e organizações.

This study aims to identify how the sustainability of Brazilian Federal Institutes of Education, Science and Technology is implemented.

The research is descriptive and quantitative, and questionnaires were used to collect data, which were applied to the campuses and deans of the 38 IFs. The sample selection resulted from a sampling calculation for a finite population, which considered the five Brazilian regions, reaching 248 respondents. To analyze the collected data, descriptive statistics were used to demonstrate the mean, standard deviation (σ) and coefficient of variation of each of the seven axes of the questionnaire and also of the axes and regions jointly; and the sustainability indicator was defined.

A majority of the analyzed FIs were considered to be medium or highly sustainable. The classifications achieved by the FIs demonstrate that sustainability practices are reasonably present in a significant number of campi and Principals’ Offices.

This study contributes by creating a data collection instrument to measure the sustainability practice, not only in educational institutions but also in any type of institution; and the sustainability indicators created, which make it possible to classify organs and entities in accordance with sustainable initiatives implemented by them.

This study’s authors can highlight the mapping of sustainability implementation in the Brazilian Federal Institutes analyzed, which, owing to the sample used, allows for the verification of similarities and differences in these practices between the five Brazilian regions, in addition to making comparisons possible.

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 aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its local suppliers.

A case study approach was adopted and applied in an automotive supply chain. Empirical data were collected from interviews, observations and internal documents.

The literature shows that the successful XPS implementation depends on the ability to transfer XPS knowledge; the motivation of the source unit to share XPS knowledge; the value and nature of knowledge embedded in XPS; the effectiveness of individual, social and organizational transfer mechanisms; the motivation and absorptive capacity of the target unit and, the organizational, social and relational contexts in which XPS is transferred. Based on the research findings, we develop 12 propositions and presented them in a framework.

This paper expands and enriches the literature on the knowledge transfer process of XPS. The proposed framework establishes theoretical propositions and associations raised by qualitative analysis. However, these propositions are potentially testable on a larger scale for broader generalization.

Managers can recognize critical factors and relationships needed to improve the XPS implementation from an MNC subsidiary to its local suppliers.

The proposed framework provides a scheme to capture the essential critical factors affecting a successful XPS implementation between MNC subsidiaries and local suppliers. Moreover, we found relevant associations between pairs of critical factors that were not identified in the literature.

The business angels market dramatically changed the modus operandi and nature of business angels’ activity, evolving from lone investors to angel groups managed professionally. This paper aims to analyze the impact of angel perceived career development on angel satisfaction and, consequently, on their intention to continue investing.

A model was tested through covariance-based structural equation modeling (SEM) using AMOS based on data collected from 336 business angels from seven European countries.

The results highlight that: the perception of personal development is a decisive factor in pursuing the career of business angel; personal development has a higher explanatory power in angel career development than fostering innovation; and the perception of career development has positive impacts on angels’ job satisfaction and reinvestment intention. The paper ends with implications and guidelines for angels, gatekeepers and entrepreneurs, which may increase satisfaction with the angel experience and contribute to enriching business angel work.

Cross-sectional self-reported data were used to analyze the results of this study.

To paper extends the body of knowledge of business angels’ perceived career development, with implications for business angels, which may increase satisfaction with angel experience and, therefore, contribute to enhancing business angels’ activity. Thus, this study provides a consistent reference for forthcoming studies regarding the career of business angels and their relationship with entrepreneurs.

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.