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The purpose of this paper is to address the subject of work attitude drivers within the current scenario considering two influencing factors, culture and generation. Both membership of a particular generation and membership of a particular culture can affect individuals' work attitudes. The study considers these two factors in order to analyse five dimensions that are sources of work attitudes: life project, professional ethics, and attitude towards authority, leadership and commitment to the company.

Drawing upon a sample of almost one thousand people from various Ibero‐American countries, the results show significant differences between generations and cultures, particularly when focusing on the life project.

Among its conclusions, the paper points out that Latin America cannot be viewed as a homogenous whole in terms of individual work attitude. On the contrary, it is characterised by a significant degree of national diversity and managers should take this into account when designing initiatives to improve employee motivation.

The contribution that this paper seeks to make is to include the cross‐cultural perspective in the study of attitudes towards work, which has received less attention in previous studies.

This study investigates the relationship between job autonomy and burnout among healthcare professionals, focusing on two key contextual elements that moderate this relationship: role ambiguity and workers’ age.

Employing an integrative approach, this research combines the Job Demands-Resources model with the lifespan developmental framework. A multilevel analysis was conducted on a sample of 1,232 hospital workers, nested within 74 units, to examine the relationships between job autonomy and burnout across teams with varying levels of aggregated role ambiguity, incorporating the factor of workers’ age.

The results indicate significant interaction effects between job autonomy, age and role ambiguity in relation to burnout. Job autonomy is associated with lower levels of burnout in contexts of moderate role ambiguity. In contrast, in highly uncertain contexts, job autonomy proves more beneficial for older workers, while it appears to have negative effects on younger workers.

This study enhances our understanding of the complex dynamics between job autonomy and burnout among healthcare professionals by utilizing a multilevel approach to examine the impact of contextual role ambiguity and workers’ age. The multilevel analysis offers original insights into the role of ambiguity, while the integration of two robust theoretical frameworks (i.e. JD-R model and Lifespan framework) provides a solid foundation for contributing to the discussion.

The partial least squares structural equation modeling (PLS-SEM) approach for construction management (CM) scholars has become the preferred approach for its capability of assessing the complex relationship and relaxed normality and sample size assumptions. This paper systematically maps the structure of knowledge about PLS-SEM in CM using bibliometric analysis. Also, the study employs meta-analysis to explore how data and model characteristics, model evaluation and advanced modeling techniques have been utilized in the CM domain.

This study integrated two methods: bibliometric analysis on a sample of 211 articles identified using the PRISMA framework and meta-analysis on 163 articles identified based on the availability of full-length articles and relevant information.

The results revealed the leading knowledge formation entities (countries, institutions, authors, sources and documents). Also, the study employs full content analysis to identify six research themes, and meta-analysis is used to explore the use of PLS-SEM based on the following criteria: (1) reasons for using PLS-SEM in CM, (2) data characteristics, (3) model characteristics and evaluation and (4) use of advanced modeling and analysis techniques. Further, the study uses regression analysis and identifies “advanced modeling and analysis techniques” as the critical feature responsible for the publication in a journal with high scientific prestige. Finally, the study presented the comprehensive guidelines to be used by construction management scholars who wish to use PLS-SEM in their research work.

To the author’s knowledge, it is the first study of this kind to use PLS-SEM in CM research. This study provides an extensive analysis of the Scopus database and an in-depth review of the data characteristics, model characteristics and use of advanced modeling techniques in CM research.