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The Purpose of the study was to investigate the construct validity and internal consistency of the LaMI among staff in the context of elderly care in Sweden.

Questionnaire data from a longitudinal study of staff working in elderly care were used. Data were collected using the Leadership and Management Inventory. First data collection was for explorative factor analysis (n = 1,149), and the second collection, one year later, was for confirmatory factor analysis (n = 1,061).

The explorative factor analysis resulted in a two-factor solution that explained 70.2% of the total variance. Different models were tested in the confirmatory factor analysis. The final model, a two-factor solution where three items were omitted, showed acceptable results.

The instrument measures both leadership and management performance and can be used to continually measure managers’ performances as perceived by staff to identify areas for development.

This study aims to analyze the relationship between attitudes towards organizational diversity and towards trans people, correlating them with the levels of transphobia among HR professionals. Drawing upon the Intergroup Contact Theory, we also seek to understand whether the results may be influenced by the contact variable.

Data were collected through the administration of a questionnaire to a sample of 184 HR professionals. The questionnaire was comprised of self-constructed questions and previously validated scales, including: Attitudes Toward Diversity Scale (ATDS) (Montei et al., 1996), Attitudes Toward Transgendered Individuals (ATTI) Scale (Walch et al., 2012) and Genderism and Transphobia Scale (GTS) (Hill and Willoughby, 2005).

The results do not show high levels of negative attitudes towards organizational diversity or intolerance towards trans people, being these variables correlated, with higher levels of intolerance in the portion of the sample without contact with trans people.

This article contributes to the increase of knowledge in the field of HR Development Policies focusing on the thematic of Diversity and Inclusion, which is a very current and important topic in organizations today. Also, the relevance and contribution of the study point to the need for Human Resources Management Practices that take on positive discrimination and/or encourage the adoption of affirmative actions by organizations.

Este estudio tiene como objetivo analizar la relación entre las actitudes hacia la diversidad organizacional y hacia las personas trans, correlacionándolas con los niveles de transfobia entre los profesionales de recursos humanos. Basándonos en la Teoría del Contacto Intergrupal, también buscamos comprender si los resultados pueden estar influenciados por la variable de contacto.

Se recopilaron datos a través de la administración de un cuestionario a una muestra de 184 profesionales de recursos humanos. El cuestionario estaba compuesto por preguntas autoconstruidas y escalas previamente validadas, que incluían: Attitudes Toward Diversity Scale - ATDS (Montei et al., 1996), Attitudes Toward Transgendered Individuals (ATTI) Scale (Walch et al., 2012) y Genderism and Transphobia Scale - GTS (Hill and Willoughby, 2005).

Los resultados no muestran altos niveles de actitudes negativas hacia la diversidad organizacional o intolerancia hacia las personas trans, siendo estas variables correlacionadas, con niveles más altos de intolerancia en la porción de la muestra sin contacto con personas transgénero.

Este artículo contribuye al aumento del conocimiento en el campo de las políticas de desarrollo de recursos humanos, centrándose en la temática de Diversidad e Inclusión, la cual es un tema muy actual e importante en las organizaciones hoy en día. Además, la relevancia y contribución del estudio señalan la necesidad de prácticas de gestión de recursos humanos que asuman la discriminación positiva y/o fomenten la adopción de acciones afirmativas por parte de las organizaciones.

This paper aims to develop and validate a scale to measure knowledge-sharing motives at work. It is aimed to construct a scale which is explicitly different from knowledge-sharing behavior and to develop a comprehensive and domain-specific scale for this special kind of work motivation.

The constructed scale was tested in two studies. Survey data (n = 355) were used to perform an exploratory factor analysis. Results were further tested on survey data from the core public sector (n = 314) and the health sector (n = 315). A confirmatory factor analysis confirms the results in both samples. The developed scale was further validated internally and externally.

The analysis underlines that knowledge-sharing motivation and knowledge-sharing behavior are different constructs. The data suggest three dimensions of knowledge-sharing motives: appreciation, growth and altruism and tangible rewards. While it is suggested that the developed scale works in the public as well as the private sector context, it is found that knowledge sharing of public employees is merely driven by “growth and altruism” and “appreciation of coworkers.”

No comprehensive and reproducible scale to measure knowledge-sharing motives, which is different from behavior and domain-specific as well, was available in the literature. Therefore, such a scale has been constructed in this study. Furthermore, this study uses samples from different organizational sectors to deepen the understanding of knowledge sharing in context.

The purpose of this study was to develop a model of skilful surfing to aid understanding of how best to seek health information, online and offline, during pregnancy.

This study used an observational, descriptive design, using a purpose written questionnaire, factor analysis and structural equation modelling.

Analysis resulted in the factor loading of five components: online health information seeking behaviour, normalisation, offline support, trust and data saturation. These components were included as latent variables in an SEM to evaluate the credibility, and subsequently confirm the viability of the theory of skilful surfing.

To the authors' knowledge, this study is the first of its kind to successfully model and define what it is to skilfully surf health information online whilst pregnant, with empirical and theoretical underpinnings.

Consumer perception of corporate brand equity has primarily focused on product brand dimensions, neglecting considerations at the firm analysis level. Assessing corporate brands requires different criteria relevant to the competitiveness of companies, such as their prominence, management and meeting society’s demands. In this sense, this study aims to develop and validate a scale of corporate brand equity founded on consumer perceptions, transcending industry boundaries and comparing its relationship with companies' market share.

The authors used an integrative approach to clarify the construct’s domain, building on previous measures. They took several steps to select appropriate items, refine the measure, validate it through reliability tests and convergent and discriminant analyses, test the validity of the second-order formative structure of corporate brand equity and assess associations between first-order factors, the second-order factor and market share.

The model identifies three first-order dimensions of corporate brands (presence, outstanding management and responsible) that shape the second-order factor (corporate brand equity). They are directly related, but not proportionally, to market share, contributing to the general and joint assessment of the company’s competitive performance considering the consumer.

To the best of the authors’ knowledge, this study is the first attempt to develop a comprehensive measurement model of corporate brand equity that considers the firm level of analysis, combines metrics from previous research on corporate brand evaluation criteria and includes consumer perceptions of the company’s competitiveness, unifying branding theory with the theory of the marketing firm.

The aim of this study was to empirically examine how much traditional attributes and green attributes characterize products within design-oriented firms. Further, we explored how these attributes relate to the perceived level of innovation of the firms.

An exploratory research was carried out in 86 Italian manufacturing companies that are members of the Industrial Design Association. Using the questionnaire method, the entrepreneurs’ perceptions have been analyzed. Data have been treated with hierarchical cluster analysis.

The analysis shows that environmental sustainability is the least important attribute of a design product and four clusters of highly design-oriented firms differ by design-product attributes. Further, the least green firms are also the least innovative in terms of incremental and general innovation.

The small size of the sample and the provenance of firms from a single country imply limited generalizability, and further research on the topic is recommended.

Design-driven innovation based on traditional design attributes provides many competitive advantages to firms. However, given the growing concern about environmental challenges, investing in green attributes in design products allows for remaining competitive and more effective in innovation.

This study, for the first time, reveals the heterogeneity among design-oriented firms, particularly regarding the presence and assortment of traditional design attributes, as well as the incorporation of environmentally friendly attributes in their products. Moreover, the study uncovers the relationship between varying levels of green attributes in the offerings and the perception of the firm’s innovativeness.

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.