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This study aims to explore the role of sustainable fashion knowledge in shaping individual sustainable responsibility within the dynamic landscape of the fashion industry from a novel perspective, by exploring the intricate interplay between sustainable fashion knowledge, emotional and spiritual sustainable capacities.

A quantitative study was used, and a causal model with partial least squares structural equation modeling was developed. A total of 211 valid responses were obtained, and data were analysed to confirm the proposed hypotheses.

The findings confirm the positive impact of sustainable fashion knowledge on individual sustainable responsibility, mediated by both spiritual and emotional sustainable capacities. This study underscores the significance of individuals in influencing societal norms, prompting fashion companies to adopt sustainable practices.

The proposed conceptual framework integrates insights from the emotional and spiritual knowledge dynamics. This study uncovers the pathways through which individuals contribute to a more sustainable society.

The study not only advances the understanding of sustainable fashion practices but also provides actionable insights for policymakers, businesses and individuals seeking to foster a culture of sustainability in the fashion ecosystem.

Organisational slack has been widely considered in strategic management, but there is a gap in understanding the process of accumulation and application of slack resources. From a dynamic perspective and over an extended period of time, this paper analyses the management of slack resources and evaluates whether the different behaviours, in relation to the accumulation and consumption of slack resources, have any effect on performance.

The resource-based view and the dynamic extension of this theory, i.e. resource management and resource orchestration, were analysed in order to evaluate how slack resources can be managed and generate value. Assuming a configurational approach, the analysis was structured into two stages to answer the proposed hypothesis. The first stage studied whether there were different patterns of management of slack resources over time using the DistatisR package. The second stage evaluated which behaviours had the greatest impact in terms of profitability by using a dynamic panel data regression.

Three different types of slack resource management were found in companies: efficient, effective and erratic. Different types do not have the same impact on performance.

The dynamic management of slack resources has scarcely been considered, even during periods of crisis and economic expansion. This research advances the understanding of how firms transform slack resources into performance from a dynamic perspective.

This paper aims to determine pathways leading to enterprise profitability during the COVID-19 pandemic in the Philippines.

The study (N = 272) was participated by 228 micro, small and medium enterprises (MSMEs) and 44 large enterprises. Configurational analysis using the fuzzy-set qualitative comparative analysis was used in modelling combinations of firm characteristics and organizational resilience attributes that could lead to enterprise profitability.

Using the Benchmark Resilience Tool of Resilient Organisations, the study showed that three main attributes of organizational resilience (leadership and culture, networks and relationships, and readiness to change) played significant roles in enterprise profitability. Other conditions of varying influence on profitability included costs, sales, number of employees and the number of years in operations of an enterprise. For MSMEs, profitability can be achieved if all resilience attributes are present, while for large enterprises, the absence of some resilience attributes can be compensated by other attributes such as low decline in sales, low employee reduction, and more years in operation.

While the COVID-19 pandemic’s impacts have been far-reaching, the MSMEs and large enterprises are more likely to be profitable if they have used the three organizational resilience attributes. Moreover, these attributes do not only improve firm profitability and the overall enterprise performance during the present pandemic but also prepare them for future shocks.

To the best of the authors’ knowledge, modelling antecedents of enterprise profitability using configurational analysis is the first in the Philippines.

This paper explores the evident issue of organizational resistance to change. The study delves deep into the underlying resistance factors in organizations using a qualitative approach.

The qualitative study employs a grounded theory coding pattern and network analysis to explore the underlying themes. This approach gives a panoramic view of resistance to change by comprehending the themes of existing literature and verbatims collected from the respondents.

The results of the comprehensive interviews and analyses suggest a significant change in the definition of resistance to change. The network analysis led to the identification of subthemes, antecedents, and consequences of resistance to change. The study highlights the importance of innovation, personnel training, mistrust, and the role of motivation.

The insights gained from this practitioner-oriented study help navigate organizations to identify the issues related to resistance to change. The study also helps trace the issue of over-specialization, which promotes competency traps in organizations. The role of leaders in managing resistance to change is evident, which practitioners can consider for the more significant benefit of organizations.

The study proposes a nuanced understanding of resistance to change by using a qualitative approach to comprehend the phenomena from the perspective of leaders and employees. Using a coding approach for theme generation and network analysis for visualization ascertains the methodical rigor and comprehensive understanding alongside generating practitioner-oriented recommendations.

This study aims to delve into the effectiveness of applying traditional and more advanced digital means to document elements of cultural heritage, in this case large-format cartography. Application of multimethod digitalisation to a school map of the American continent dating to the early part of the 20th century has served to address specific issues, notably its multilayers consisting of paper, inks and a protective varnish on a textile medium. Its large format is likewise an obstacle to its digital capture.

The method applied here resorted to three registration systems: single-shot photography, panoramic photography and photogrammetry. The first two widely serve to capture works of large-format, whereas the third is commonly used to record volumetric assets. A variety of parameters were applied, notably different focal lengths, capture methods and processing software. The images obtained in each case were subjected to qualitative and quantitative comparisons so as to analyse their differences in terms of resolution and accuracy when compared to the map's real measurements, key criteria when duplicating cartographic documents.

Although the final products gleaned from the digital photographs, panoramic photographs and photogrammetry fulfil the basic functions required to record documents housed in archives, libraries, museums and other cultural institutions, this study highlights new advances and complementary functions stemming from certain of these techniques.

Digitalisation is a tool that serves to register, preserve, disseminate and analyse cultural heritage. However, some of the available techniques have rarely been applied specifically to graphic and documentary artefacts. It is for this reason that this study intends to demonstrate their utility in the detailed study of this heritage typology. Moreover, optimising the school map into a digital form favours its dissemination and remote consultation while simultaneously minimising direct manipulation, hence improving its long-term preservation.

The purpose of this study is to analyse the gender wage gap (GWG) in Spain adopting a labour market segmentation approach. Once we obtain the different labour segments (or idiosyncratic labour markets), we are able to decompose the GWG into its observed and unobserved heterogeneity components.

We use the data from the Continuous Sample of Working Lives for the year 2021 (matched employer–employee [EE] data). Contingency tables and clustering techniques are applied to employment data to identify idiosyncratic labour markets where men and/or women of different ages tend to match/associate with different sectors of activity and occupation groups. Once this “heatmap” of labour associations is known, we can analyse its hottest areas (the idiosyncratic labour markets) from the perspective of wage discrimination by gender (Oaxaca-Blinder model).

In Spain, in general, men are paid more than women, and this is not always justified by their respective attributes. Among our results, the fact stands out that women tend to move to those idiosyncratic markets (biclusters) where the GWG (in favour of men) is smaller.

It has not been possible to obtain remuneration data by job-placement, but an annual EE relationship is used. Future research should attempt to analyse the GWG across the wage distribution in the different idiosyncratic markets.

Our combination of methodologies can be adapted to other economies and variables and provides detailed information on the labour-matching process and gender wage discrimination in segmented labour markets.

Our contribution is very important for labour market policies, trying to reduce unfair inequalities.

The study of the GWG from a novel labour segmentation perspective can be interesting for other researchers, institutions and policy makers.

The aim of this paper, which analyses the use of sports celebrities in advertising discourse, is to understand the strategic use to which brands put them in their commercial and corporate communication on Instagram.

To this end, a content analysis was performed on the Instagram posts of the brands Santander, Movistar, Red Bull and Iberdrola during the period 2021-2022.

The results indicate that, strategically speaking, these brands use the celebrity endorsement strategy to pursue emotional objectives and to adopt a position depending on the type of user. Likewise, these findings show that they single out uniqueness as the principal celebrity characteristic, while also mainly leveraging sports values, especially competence. These values represented by sports celebrities are markedly social in nature, which implies that they enjoy a degree of public recognition that is transferred to the brand to which they lend their image.

The conclusions connect celebrity endorsers with strategic branding issues and aspects of sports.

An empirical approach is followed here to study the representation of sports celebrities in the advertising of well-known brands linked to the sports world.

This paper integrates the action phase theory (APT) and the theory of planned behaviour (TPB) to analyse the dynamic mechanisms involved in the configuration of goals and implementation intentions throughout the entrepreneurship process.

The empirical analysis compares individuals in different phases of this process (not yet decided, potential and nascent entrepreneurs). A large sample of adults from Spain is analysed. Structural equation models and multi-group analysis (MGA) serve to test the hypotheses.

The results confirm that perceived behavioural control (PBC) is the most influential antecedent of entrepreneurial goal intention (EGI) in pre-actional phases (undecided and potential entrepreneurs), whilst attitude towards entrepreneurship (ATE) takes this role during nascency. Subjective norms (SNs) are more important in Phase 1 (establishing the goal) and in Phase 3 (performing nascent behaviour).

This study contributes to both the TPB and the APT. It provides the most relevant insight into the mental process that leads to starting up and helps explain certain previous conflicting results found in the literature. Additionally, it has important implications not only for theory building but also for support bodies and for entrepreneurship educators.

The Covid-19 pandemic highlighted the contradictions inherent to balconies. Despite the attention given to these architectural elements on that moment, there is a knowledge gap concerning the preferences and expectations of the inhabitants in relation to them. For this reason, this paper aims to conduct a critical literature review of the publications about the inhabitants’ perceptions of balconies in order to identify the most relevant criteria to consider during the design process.

The analysis was based on the post-occupancy evaluation (POE) criteria (technical, functional and behavioural).

The results highlighted the relevance of the behavioural criteria for the valorisation of the balconies by the inhabitants and presented indications to the research about these liminal spaces and the design practice of housing buildings.

According to the authors’ best knowledge, this study represents the more holistic study of the kind.

For additive manufacturing (AM) through laser-based powder bed fusion of polymers (PBF-LB/P), accurate characterization of powder flowability is vital for achieving high-quality parts. However, accurately characterizing feedstock flowability presents challenges because of a lack of consensus on which tests to perform and the diverse forces and mechanisms involved. This study aims to undertake a thorough investigation into the flowability of eight feedstock materials for PBF-LB/P at different temperatures using various techniques.

For ambient temperature assessments, established metrics such as avalanche angle and Hausner ratio, along with the approximated flow function coefficient (FFC_app), are used. The study then focuses on the influence of elevated temperatures representative of in-process conditions. FFC_app and differential scanning calorimetry (DSC) are performed and analyzed, followed by a correlation analysis as a holistic approach to identify key aspects for flowability. Furthermore, two feedstock materials are compared with a previous study to connect the present findings to PBF-LB/P processing.

The study revealed intrinsic material properties such as mechanical softening near the melting point to become significant. This partially explains why certain powders with poor ambient temperature flowability are consistently demonstrated to produce high-quality parts. FFC_app and thermal characterization through DSC are identified as critical metrics for optimizing feedstock material characteristics across temperature ranges.

Previous studies emphasized specific characterizations of feedstock material at ambient temperature, presented a limited materials selection or focused on metrics such as shape factors. In contrast, this study addresses a partially understood aspect by examining the critical role of temperature in governing feedstock material flowability. It advocates for the inclusion of temperature variables in flowability analyses to closely resemble the PBF-LB/P process, which can be applied to material design, selection and process optimization.