Resultados de investigación

This project was designed as a Multi-Sample Daily Diary Study primarily framed within the Job Demands-Resources (JD-R) model. The core objective was to analyze the complex relationships between job demands (e.g., emotional demands, workload), resources (e.g., leadership support, autonomy), and worker well-being/health (vigor, engagement, burnout, physical activity) at both the daily (within-person) and general (between-person) levels across diverse professional sectors, including education, healthcare, and services. The multi-level nature of the data collection allows for a fine-grained understanding of dynamic processes in the workplace., Data Management Plan and Datasets of the "Leadership and vigor at work: Benefits in physical and psychological health from a multi-method approach" Project, MCIN/AEI/10.13039/501100011033 (Spanish Ministry of Science and Innovation / AEI)

The job demands-resources theory considers an open group of personal and job demands and resources. Thus, it allows us to include personal resources not yet covered (i.e., vigor at work) or less explored (i.e., emotional abilities), as well as personal demands not yet explored (i.e., overcommitment). Additionally, from this theory, it is proposed that leaders may influence employee wellbeing. Therefore, of particular interest is to analyze positive leadership styles, such as authentic leadership (AL). This study addresses three research objectives: 1) to identify profiles of employees from a person-centered approach, combining personal resources (self-perception of emotional abilities, vigor at work and self-efficacy) and personal demands (overcommitment) with job resources and demands; 2) to analyze the relation of the identified profiles with indicators of work-related subjective well-being; and 3) to acknowledge whether the AL style determines the pertaining to a profile probability. A large heterogeneous sample of Spanish employees (N = 968) responded to a questionnaire. Data were analyzed by adopting a person-centered approach using latent profile analysis. The results revealed five patterns of job and individual characteristics: Profile 5 (very low personal resources, and low job resources and demands); Profile 4 (low resources and high demands); Profile 3 (mid-level personal resources, high job resources and low demands); Profile 2 (high personal resources, mid-level job resources and high demands); and Profile 1 (high resources and low demands). Analyses showed that workers differed significantly in well-being depending on their profile membership, with Profile 1 having the highest well-being. Profiles that yielded the worst outcomes were Profile 4 and Profile 5, especially the latter. Finally, the results indicated that AL increased the probability that a profile would show a high well-being level., This research was supported by the Spanish Ministry of Science and Innovation MCIN/ AEI /https:// doi.org/ 10. 13039/ 50110 00110 33; project number PID2020-116521RB-I00 and by a predoctoral fellowship (FPU18/00302).

We have developed a retrospective database of the solar PV plants and wind energy farms in Spain called SOWISP (SOlar and Wind Installed Spanish Power). SOWISP provides the installed wind and solar PV installed capacity in each municipality in Spain, with a monthly temporal resolution, from 2015 to 2020. SOWISP has been developed and validated based on a careful and exhaustive compilation of different public databases. Among other data, SOWISP offers the installed power and location of 59.386 solar PV plants and 1.205 wind farms in Spain (further details are provided in https://doi.org/10.1016/j.solener.2023.03.009). In order to manage the new database, a Python library, named as SOWISP_lib, was developed. This library is composed of three functions, which allow: (1) reading the SOWISP database, (2) extracting information at different spatial aggregations (towns, NUTS 2 and NUTS 3), and (3) selecting information for specific time periods or specific dates. Python script (SOWISP_lib) to use it, is here attached and are publicly available at: https://github.com/matrasujaen/SOWISP When quoting this dataset, please refer to following publication: Jiménez-Garrote A, G Sánchez-Hernández, M López-Cuesta and David Pozo-Vázquez, 2023. SOWISP - A retrospective high spatial and temporal resolution database of the installed wind and solar PV power in Spain, Solar Energy, 256, 44-54, https://doi.org/10.1016/j.solener.2023.03.009., We have developed a retrospective database of the solar PV plants and wind energy farms in Spain called SOWISP (SOlar and Wind Installed Spanish Power). SOWISP provides the installed wind and solar PV installed capacity in each municipality in Spain, with a monthly temporal resolution, from 2015 to 2020. SOWISP has been developed and validated based on a careful and exhaustive compilation of different public databases. Among other data, SOWISP offers the installed power and location of 59.386 solar PV plants and 1.205 wind farms in Spain (further details are provided in https://doi.org/10.1016/j.solener.2023.03.009). In order to manage the new database, a Python library, named as SOWISP_lib, was developed. This library is composed of three functions, which allow: (1) reading the SOWISP database, (2) extracting information at different spatial aggregations (towns, NUTS 2 and NUTS 3), and (3) selecting information for specific time periods or specific dates. Python script (SOWISP_lib) to use it, are publicly available at: https://github.com/matrasujaen/SOWISP When quoting this dataset, please refer to following publication: Jiménez-Garrote A, G Sánchez-Hernández, M López-Cuesta and David Pozo-Vázquez, 2023. SOWISP - A retrospective high spatial and temporal resolution database of the installed wind and solar PV power in Spain, Solar Energy, 256, 44-54, https://doi.org/10.1016/j.solener.2023.03.009., This work has been made possible by the project funded by Agencia Estatal de Investigación, Spain (PID2019-107455RB-C21/AEI/ 92 10.13039/501100011033 and PID2019-107455RB-C22/AEI/10.13039/ 501100011033). Authors are supported also by the Junta de Andalucía (Research group TEP-220), FEDER funds and UE-Junta de Andalucía co-funded postdoctoral fellowship PAIDI2020-DOC_01110.

In the absence of a Spanish version of the Leadership Virtues Questionnaire, this study aims to propose a short form of the scale by conducting a cultural adaptation and analyzing its factor structure. In Study 1, the procedure following ITC guidelines and qualitative analysis is performed, leading to the reformulation of several items. In Study 2, 550 workers (Samples 1 and 2) responded to this Spanish version, and the fit of the measurement models proposed for the original proposal of the instrument was tested. Since no model fit adequately, in Study 3 an EFA was carried out with Sample 1, and two items per factor were extracted. In Study 4, the fit of the measurement models to the data was tested through CFAs with Sample 2, resulting in an optimal second-order factor model. In addition, other evidence related to the construct validity of the instrument was proven., This research was supported by the Spanish Ministry of Science and Innovation through the project PID2020-116521RB-I00, funded by MCIN/AEI/10.13039/501100011033, and by a predoctoral fellowship (FPU18/00302).

The files within the .rar file describe the knowledge base for study crafting (12 documents) and for self-regulated learning (850 documents), according to the systematic reviews conducted on the Web of Science on June 13th of 2025. The .rar file contains two files prepared for the program SciMAT.

Enhanced solar PV Capacity Factors database (NUTS 3, hourly, 1990–2020) for Spain., Enhanced solar PV Capacity Factors database (NUTS 3, hourly, 1990–2020) for Spain, resulting from this work: Guadalupe Sánchez-Hernández, Antonio Jiménez-Garrote, Miguel López-Cuesta, Inés M. Galván, Ricardo Aler, David Pozo-Vázquez, A novel method for modeling renewable power production using ERA5: Spanish solar PV energy, Renewable Energy, Volume 240, 2025, 122120, ISSN 0960-1481, https://doi.org/10.1016/j.renene.2024.122120. When quoting this dataset, please refer this publication., This study was conducted in the framework the MET4LOWCAR research project (reference PID2019-107455RB-C21/AEI/10.13039/501100011033 and PID2019-107455RB-C22/AEI/10.13039/501100011033), financed by the Spanish Research Agency, Spain. Guadalupe Sánchez-Hernández also thanks the support from UE-Junta de Andalucía, Spain co-funded postdoctoral fellowship PAIDI2020-DOC_01110. The authors acknowledge the Spanish TSO Red Eléctrica for yielding actual wind and solar PV generation data.

The COVID-19 pandemic has forced many employees to introduce different degrees of teleworking, leading to a transformation of the psychosocial work environment. In this study, we analyzed whether the relationship between a labor resource, social support, and a personal resource, vigor at work, is affected by the work modality (face-to-face, hybrid that includes face-to-face work and telework time, and telework caused by the current pandemic situation). Five hundred and forty-three employees answered an online questionnaire about their perceptions of the levels of social support, vigor experienced in the last month, and work modality. Seniority in the organization and the gender of the employees were controlled for. The model fit was significant [F(7, 535) = 20.816, p < 0.001], accounting for 21% of the variation in vigor (R2 = 0.21). The interaction was also significant [F(2, 535) = 4.13, p < 0.05], with an increase of 1% in the explanation of the variance in vigor at work (ΔR2 = 0.01). Differences were found in the positive relationship between levels of social support and vigor at work, among the face-to-face and telework modalities (hybrid and telework), but not between teleworking modalities. As a result, we posit that the different forms of telework moderate (buffer) the relationship experienced between labor resources (social support) and personal resources (vigor at work). This implies that, for the design of teleworking conditions, it is necessary to provide work resources similar to those in face-to-face settings, such as social support., This research was supported by the University of Jaén through the financial support of the last author (EI_SEJ7_2019)

Background: Several studies have suggested that leaders showing high levels of authentic leadership increase workers’ overall job satisfaction, which is composed of different aspects with some distinctions among them. Furthermore, the implication of affective and motivational variables, such as vigor and engagement at work, respectively, have not been jointly considered for analysing the differences and similarities between public and private organizations. Thus, this study aims to analyze whether vigor at work and engagement at work play a mediating role between authentic leadership and different aspects of job satisfaction, considering both public and private organizations, to propose a trans-organizational model. Method: In this cross-sectional and cross-sectoral study, 1029 workers in private (n = 619) and public (n = 410) organizations from Spain participated completing a questionnaire. Results: Structural equation modelling was used to perform a multigroup mediation analysis (public versus private organizations) in which the invariance between groups was previously explored. The model showed a good fit to the data in which authentic leadership affected the dimensions of job satisfaction both directly and indirectly (through vigor at work and engagement). However, authentic leadership had a greater positive effect on vigor at work for private organizations; whereas work engagement was not significantly related to the job satisfaction dimension related to legal aspects for public organizations. Conclusion: The vigor at work and work engagement were important variables to explain the authentic leadership-job satisfaction relationship in both private and public organizations. Nevertheless, the relationship between work engagement and the dimensions of job satisfaction was different for both organizations., This study was supported by the Spanish Ministry of Science and Innovation through the project PID2020-116521RB-I00, funded by CIN/AEI/10.13039/501100011033, and by a predoctoral fellowship (FPU18/00302).