Search results

This study aims to analyse the institutional changes in the Spanish labour market in the light of the measures introduced to support workers during the COVID-19 crisis. Applying the theoretical framework the authors’ hypothesis is that the labour policy response to the crisis provoked by COVID-19 in Spain has ranged from strategy of preservation of the social democratic coalition to the anti-bourgeois bloc coalition with a greater presence of social pacts and the support of the social partners.

Combining the institutional theory of liberalisation trajectories, the four ideal-typical reform strategies and the social pacts literature, the authors analyse the change in the labour market policy orientation during the COVID-19 economic crisis in Spain.

In comparison to the Great Recession labour policy response, short-time work schemes and new benefits have characterised the 2020 labour policy strategy. Then, the labour policy response has oscillated between, on the one hand, a strategy of preservation of the social democratic coalition, which is characterised by measures to protect workers on the margins of the labour market without affecting the discretionary power of employers. On the other hand, a strategy of the anti-bourgeois bloc coalition, reflected in the employment safeguard clause that attempts to limit both external numerical flexibility and the increase in unemployment. Finally, the authors have analysed whether the labour policies after the COVID-19 crisis constitute a new round of social pacts in Spain and how this took place. They conclude that the main measures approved in the area of employment protection have been supported by social pacts and the social partners (trade unions and employers), as reflected in the signing of the Social Agreement in Defence of Employment (ASDE).

To the best of the authors’ knowledge, this is a significant contribution as it is the first article to point out that the labour policy represents a change in the trajectory of liberalisation, limiting the discretionary power of employers and re-regulating the labour market. The main measure of (re)regulation has been to safeguard employment and to avoid objective or unfair dismissals, which is the traditional form of adjustment. In other words, internal numerical flexibility has been promoted over external flexibility, thus significantly modifying the orientation of labour policy. Finally, the authors have found that social pacts have allowed for greater institutional coherence between legal changes and the behaviour of employers and workers.

This paper studies one of the most paradoxical facts of the Spanish economic growth during the period 1982–2007: high growth of investment and aggregate demand accompanied by the stagnation of labor productivity, especially from 1994.

The authors propose two hypotheses: first, that the productive structure neutralized the mechanisms that link investment with productivity, essentially due to the low capital efficiency of the job-creating sectors (JCs); and consequently, investment drove production almost exclusively through employment, generating a trade-off between employment and productivity.

The econometric results find evidence in favor of both hypotheses applying a time-series methodology (ARIMA) to EU KLEMS data for a period of 25 years and 25 industries of the Spanish economy.

The first contribution of this paper is to offer an interpretation of the phenomenon from a perspective that combines elements of productive supply and aggregate demand, representing a novel contribution to the specialized literature. In addition, the authors show how the Kaldor-Verdoorn law could be neutralized due to employment creation (Okun's law) and the presence of a productivity-employment trade-off.

The purpose of this paper is to present a new vision-based control method, which enables delta-type parallel robots to track and manipulate objects moving in arbitrary trajectories. This constitutes an enhanced variant of the linear camera model-camera space manipulation (LCM-CSM).

After obtaining the LCM-CSM view parameters, a moving target’s position and its velocity are estimated in camera space using Kalman filter. The robot is then commanded to reach the target. The proposed control strategy has been experimentally validated using a PARALLIX LKF-2040, an academic delta-type parallel platform and seven different target trajectories for which the positioning errors were recorded.

For objects that moved manually along a sawtooth, zigzag or increasing spiral trajectory with changing velocities, a maximum positioning error of 4.31 mm was found, whereas objects that moved on a conveyor belt at constant velocity ranging from 7 to 12 cm/s, average errors between 2.2-2.75 mm were obtained. For static objects, an average error of 1.48 mm was found. Without vision-based control, the experimental platform used has a static positioning accuracy of 3.17 mm.

The LCM-CSM method has a low computational cost and does not require calibration or computation of Jacobians. The new variant of LCM-CSM takes advantage of aforementioned characteristics and applies them to vision-based control of parallel robots interacting with moving objects.

A new variant of the LCM-CSM method, traditionally used only for static positioning of a robot’s end-effector, was applied to parallel robots enabling the manipulation of objects moving along unknown trajectories.

This paper aims to confirm the importance of developing knowledge, skills and attitudes in the permanent use of digital scientific information, which complements the training of professionals in the biomedical and health areas, considering that this type of user communities require up-to-date and truthful information for future decision-making which will directly affect the health of patients.

The study started from the elaboration of a diagnosis on learning styles in a student community at the undergraduate level in the area of biomedical and health sciences of the Autonomous University of San Luis Potosí (Mexico) (UASLP), through the application of the Honey-Alonso Learning Styles questionnaire (CHAEA), and by using such results it was possible to derive learning strategies for the achievement of digital information competencies that were effective in practice.

According to the diagnostic results, the learning styles with the greatest presence in students in the area of Biomedical and Health Sciences were identified and from this, precise didactic strategies were derived to enhance information skills in the use of digital sources. For this case, the Big6 Model was used and its implementation was combined (face-to-face and virtual) in the academic community studied, integrating an information skills development program in the digital library of the Center for Information in Biomedical Sciences (CICBI) from the university itself.

A practical experience is presented, which also offered concrete solutions, based on particular characteristics of the users. There is a low presence of studies of digital libraries’ users that consider aspects related to learning styles, especially applied from the perspective of information sciences and the digital library.

This chapter is about an analysis and reflection on the actions, programs, and regulatory frameworks of the Mexican government for the promotion of entrepreneurial activity during the twentieth century. A documentary review is presented based mainly on the presidential reports available in the virtual legal library of the National Autonomous University of Mexico, the Center for Documentation, Information, and Analysis of the Chamber of Deputies (Cámara de Diputados), and various publications of experts on economic history, considering the twentieth century: from the year 1900 with the end of the Porfiriato until the six-year term of Ernesto Zedillo that ended in 2000. The public policies of these 100 years were reviewed and based on this, was analyzed the importance assigned to the creation, development, and consolidation of companies and their importance in public policies. Special emphasis is given to instruments for the creation of new businesses or the development and strengthening of small- and medium-sized enterprises.

The purpose of this research is to determine key behaviours to be efficient in identifying and developing employees' talent. The article aims to address the relationship between learning agility and job crafting, the influence between them, and how this relationship is built to improve performance and adaptability. For this purpose, the research has analysed which behaviours obtain the highest scores in both scales (job crafting and learning agility), designing the tool which allows Human Resources (HR) professionals an efficient identification and development behaviours to get the versatile talent that companies and professionals of the future need.

Using the questionnaire that has integrated the learning agility scale and the Spanish job crafting scale. Data were collected from a sample of business professionals in Spain. Factor analysis and hierarchical cluster analysis were used, using a classificatory variable with the 126 valid responses obtained.

In an ever-changing environment, continuous employee adaptation to his/her role within a company is a critical factor for its survival. However, there is a paucity of large-scale empirical research on which behaviours employees have to develop to increase their adaptative skills. Drawing on the outcome of extant literature, the authors identify learning agility as the construct that firms have to encourage in their employees to impact job crafting. The contribution of the paper is twofold: (1) the authors empirically explored the association and the effects of learning agility and its factor on the development of job crafting. Results demonstrated the association between the two constructs; further, higher scores in both learning agility and job crafting predict increased employability, and higher scores in job crafting are associated with higher scores in change agility; (2) this study provides a multidimensional instrument that provides HR departments with the key behaviours to recruit in order to develop talent to prepare employees to face future challenges, ensuring the right performance and sustainable impact in the environment.

A limitation of this study is that it is done exclusively within Spanish companies, even though from different industries and with different characteristics. Therefore, future research is necessary and should be conducted in other countries in similar industries to explore the empirical findings from this study in additional contexts.

This research has found a tool that might allow HR departments to measure what level of job crafting and learning agility their employees have and to identify what key behaviours they need to focus on in the recruitment or in their internal strategic HR action plan to overcome any future challenges in their organization.

In a scenario where artificial intelligence is modifying the professional landscape, generating uncertainty about which skills are best to develop, the results are a guide for enterprises as to where to focus plans for learning and training, as well as for business schools regarding the content provided in training programs.

The authors advance the literature by providing a theoretical base for understanding the relationship between job crafting and learning agility. This article offers some practical managerial recommendations that help the human resources department focus on behaviours that allow talent to be identified and recruited to ensure an effective organization.

The purpose of this paper is to analyze how political marketing management in terms of communication practices influence the voters’ emotional responses as they observe and listen to the discourse of a political leader.

An experiment was conducted, in which participants watched the last debate of the campaign leading up the Peruvian presidential elections held in June 2016. During the experiment, the Emotient FACET technology codifies the facial micro-expressions of participants.

The results reveal that a voter’s political tendencies influence the intensity of their positive emotions, when the political leader communicated a challenging message. Rhetorical strategies and non-verbal behaviors accompany this type of message in order to emphasize the discourse and persuade the audience.

The findings suggest that the gender gap in attitudes toward female politicians exists and could change the relationship found, influencing negative emotions instead of positive emotions. The implications of the findings for achieving political success are discussed.

The study makes a methodological contribution, employing an experimental protocol based on Emotient FACET technology in a political context, thereby enabling more direct and objective measurement of voters’ emotional responses.

El artículo busca analizar la influencia de la gestión de marketing político, en términos de estrategias de comunicación política, en la respuesta emocional de los votantes al observar y escuchar el discurso de un líder político.

Se realizó un experimento en el cual los participantes miraron el último debate de la campaña para las elecciones presidenciales del Perú celebradas en junio de 2016. Durante el experimento, la tecnología Emotient FACET codificó las micro expresiones faciales de los participantes.

Los resultados revelan que la tendencia política del votante influye en la intensidad de sus emociones positivas cuando el líder político emite un mensaje desafiante. Las estrategias retóricas y las conductas no verbales que acompañan a este tipo de mensajes enfatizan el discurso y persuaden a la audiencia.

Los hallazgos sugieren que el sesgo del género en las actitudes hacia las mujeres que participan en política existe y esto podría cambiar la relación encontrada, influenciando las emociones negativas cuando una candidata mujer expresa un mensaje desafiante. Se discuten las implicaciones de los resultados para lograr el éxito político.

El estudio realiza un aporte metodológico al aplicar un protocolo experimental basado en la tecnología Emotient FACET a un contexto político, permitiendo así una medida más directa y objetiva de las respuestas emocionales de los votantes.

The purpose of this study is to analyze the impact of the e-goverment on corruption in Mexico. Mexico, although it has fought corruption from different angles, continues to be among the most corrupt countries in the world. One possible tool to reduce corruption, or at least so-called bureaucratic corruption, is e-government. There are studies that confirm an inverse relationship between e-government and corruption; as e-government increases, corruption decreases. The purpose of this research is to analyze the impact of the development of e-government (electronic portals) on corruption.

To achieve the stated objective, the authors have used econometrics (clusters) as the main methodology to obtain a possible confirmation of such inverse relationship between e-government and corruption in the 32 states that make up the country, for the period 2015–2019.

In the states that make up the Republic of Mexico, as the development of e-government increases, the corruption variable does not decrease. There is no significant relationship between these two variables.

The relationship between the variables e-government and corruption has been extensively studied in previous articles. However, in Latin America, studies on the impact of e-government on corruption are scarce, and at the Mexican national level are almost nonexistent.

The efficiency of an educational program on entrepreneurial competence, Training the Potential Entrepreneur. Generation of an Educational Model for Entrepreneurial Identify (PEIEO) is evaluated in this study.

Pre and post intervention tests were administered to an Experimental Group (EG) and a Control Group (CG). Moreover, four hypotheses are proposed (H1, H2, H3, H4) and tested on a sample of 1036 Spanish students. The following instruments were applied: Attitude Towards Entrepreneurship-Spanish adaption; Measurement Scale of Personal Initiative in Educational Settings and Scale of General Self-Efficacy. ANCOVA and the Student's t-test were applied to the results.

The results show that training in entrepreneurial identity increases the entrepreneurial potential of young people (H1). A notable increase in proactivity and being a self-starter was observed with regard to personal initiative within the EG, and for self-efficacy (H3) both of which were predictors of entrepreneurial identity. Gender was likewise a predictor (H4).

Young people attending the PElEO training program in entrepreneurial potential increased their levels of entrepreneurial identity, thereby confirming the effectiveness of the program.

The program (PEIEO) is based on the development of entrepreneurial potential, a dimension that generates entrepreneurial identity (creativity, leadership, achievement and personal control).