La orientación emprendedora como fuente de innovación para las empresas: un análisis aplicado

El entorno actual fuerza a las empresas a realizar esfuerzos constantes en innovación, al ser un factor clave para su competitividad en los mercados. Debido a su importancia, en los últimos años el estudio de las principales fuentes de innovación empresarial ha adquirido gran relevancia, si bien todavía existe cierta ambigüedad en relación con los principales factores que afectan a la generación y desarrollo de innovaciones. El principal objetivo de esta investigación es analizar la relación existente entre la orientación emprendedora de las empresas y su capacidad de innovación, así como el posible efecto mediador del capital social y la capacidad de absorción en esta relación. Para ello, se realiza un análisis empírico sobre una muestra de 197 empresas españolas del sector de suministro de energía eléctrica. Para realizar el análisis estadístico, se ha utilizado la técnica de modelización de ecuaciones estructurales basadas en la varianza (PLS-SEM) y, particularmente, el software “SmartPLS” en su versión 3.9. Los resultados desvelan que la orientación emprendedora de las empresas afecta de forma positiva y significativa a su capacidad para innovar. Además, el capital social y la capacidad de absorción se establecen como variables mediadoras en esta relación. Se concluye que las empresas pueden impulsar su capacidad de innovación favoreciendo el desarrollo de un clima emprendedor en la empresa, incentivando la participación de todos los miembros de la empresa en la identificación y explotación de oportunidades de negocio. Este clima puede favorecer el desarrollo de amplias redes de contactos valiosos, y la capacidad de absorción de nuevo conocimiento de la empresa lo cual, en última instancia, permitiría incrementar su capacidad de innovación

Does Green Intellectual Capital Affect Green Performance? The Mediation of Green Innovation

Nowadays, wineries have to cope with the many challenges that threaten their survival. In this context, environmental management and the development of intangible assets are two decisive elements for their survival. The following three research questions can be answered through this study: (1) does Green Intellectual Capital (GIC) influence Green Performance (GP)? (2) does Green Innovation (GI) influence the GIC-GP relationship? and (3) what measures can companies take to improve their GI? The results of the study show that there is a positive and significant relationship between GIC and GP, with this relationship being partially measured by the GI variable

ANALYZING THE ROLE OF COMPUTER SCIENCE IN SHAPING MODERN ECONOMIC AND MANAGEMENT PRACTICES. BIBLIOMETRIC ANALYSIS

The application of computer science in management and economics is a rapidly growing field that combines the analytical and technological capabilities of computer science with the strategic and operational needs of management and economics. The main aim of this research paper is to analyze the main academic contributors, sources, and international collaborations from 2014 to 2022 in computer science in the areas of management and economics, as well as to analyze the main subtopics developed over time. Bibliometric techniques were used to carry out the literature review, which allows an objective analysis of the academic literature through quantitative indicators. The results reveal a significant shift towards data-driven decision making in management, with artificial intelligence and machine learning improving predictive analytics, operational efficiency, and economic forecasting and modeling, highlighting the essential role of digital transformation in these disciplines, with significant implications for researchers, practitioners and decision-makers. It concludes that all stakeholders should work to develop a more informed and innovative approach to maximize the exploitation of the potential offered by computational sciences in different contexts. This includes the integration of advanced computational tools to improve decision making and operational efficiency, or the exploitation of computational models for more effective forecasting and policy decision making, as well as the continuous analysis of emerging areas in this field, being aware of the ethical, privacy and security challenges presented by these technologies, in order to ensure a responsible and equitable application

Green ambidexterity innovation as the cornerstone of sustainable performance: Evidence from the Spanish wine industry

This research focuses on analyzing the impact of the Green Ambidexterity Innovation (GAI) on the Sustainable Performance (SP) of Spanish wineries, as well as the antecedent role of the Green Human Capital (GHC) and Green Supply Chain Management (GSCM) on the said variables. To achieve the research objective pursued, the study proposes a conceptual model based on previous studies, which is tested using structural equations (PLS-SEM). The research results reveal the existence of a positive and significant relationship between the development of GAI and SP of Spanish wineries, as well as the partial mediation of GAI in the GHC-SP and GSCM-SP linkages. The originality of the study derives from its pioneering nature, as the research enters unexplored terrain by investigating the role of GHC and GSCM as antecedent variables of GAI and SP, there being no previous research, to the authors' knowledge, that has ventured in this direction

Regional Specialization, Competitive Pressure, and Cooperation: The Cocktail for Innovation

The main aim of this paper is to analyze the effect of industrial agglomeration on the degree of interorganizational cooperation and the innovative performance of firms of the electricity supply sector in Spain. For this purpose, the agglomeration coefficient in each of the 50 provinces of Spain is calculated, based on secondary data from SABI database. Subsequently, primary data are obtained from a sample of 197 companies through a structured questionnaire. In this case, the PLS-SEM technique is used. The results show that there is a positive and significant relationship between the variables analyzed. It is concluded that industrial agglomeration and cooperation are relevant external factors that boost the innovative performance of firms and that business associations foster interorganizational cooperation

Driving Innovation by Managing Entrepreneurial Orientation, Cooperation and Learning for the Sustainability of Companies in the Energy Sector

Nowadays, the attitude of companies seems to play a relevant role in detecting and exploiting opportunities to create value, especially in terms of knowledge and cooperation. Thereon, the concept of entrepreneurial orientation has become relevant over the last years. Firms are entrepreneurially oriented when their decision-making, techniques, and procedures allow them to identify opportunities, develop a proactive mindset, and use creative ways to achieve their objectives. The purpose of this paper is to empirically analyze the relationship between entrepreneurial orientation and companies’ innovation capacity, in addition to the mediating effect of entrepreneurial networks and firms’ learning capacity in this relationship. A sample of 197 Spanish companies in the energy sector is analyzed using the variance-based structural equation modeling technique (PLS-SEM), using the software “SmartPLS” in its version 3.9. The results show a direct positive and significant influence of entrepreneurial orientation on companies’ innovation capacity, as well as the existence of an indirect effect through the mediation of entrepreneurial networks and the learning capacity of firms. It is concluded that businesses must dedicate time and resources to develop a strong entrepreneurial orientation which, in addition to allowing them to exploit external entrepreneurial networks, boosts their learning and innovation capabilities, favoring the development of new sustainable possibilities for value creation

Does Ecological Agriculture Moderate the Relationship between Wine Tourism and Economic Performance? A Structural Equation Analysis Applied to the Ribera del Duero Wine Context

The purpose of this research is to analyze the effect of wine tourism activity on economic performance in the wine context of Ribera del Duero (Spain), as well as the mediating effect of ecological agriculture on this link. To this end, a conceptual model is proposed based on the literature review carried out and contrasted through structural equation modelling (PLS-SEM) with data from 263 wineries, which in turn represent the population under study. The study results allow for us to empirically demonstrate the positive and significant relationship of wine tourism on performance, as well as the partial mediation of ecological agriculture in this relationship. The study thus contributes to the academic literature in a remarkable way given that, to our knowledge, there are no previous studies that have addressed the mediating role of ecological agriculture in the wine tourism–economic performance link. However, the research also suffers from certain limitations. In particular, given the relevance of the study, it is necessary to broaden its geographical scope so that, as a future line of research, it is proposed to contextualize the model proposed in the California wine industry, being able to subsequently establish similarities and differences in the Old and New World

Green human resource management and economic, social and environmental performance: Evidence from the Spanish wine industry

The purpose of this research is to assess the impact of Green Human Resource Management (GHRM) on the economic, social, and environmental performance of Spanish wineries. Additionally, age, size, and Protected Designation of Origin (PDO) membership are introduced as control variables in order to increase the accuracy of the cause-effect associations examined. To reach this objective, a conceptual model has been constructed and assessed through Structural Equation Modeling (PLS-SEM) using data gathered from a survey conducted between September 2022 and January 2023, involving 196 Spanish wineries. The results demonstrate the occurrence of a positive and meaningful relationship between GHRM activities and the three yield typologies assessed in the Spanish wine context. This study is novel in the academic literature on environmental and human resource management, since, to the best of our knowledge, no previous research has looked into the effect of GHRM on the sustainable performance of Spanish wineries. Thus, it is useful for both academics and wine industry professionals who are examining potential variables that can catalyze winery performance

Analysis of the scientifc knowledge structure on automation in the wine industry: a bibliometric and systematic review

The objective of this research is to analyze the knowledge structure of the academic literature indexed in the Core Collection of the Web of Science on automation in the wine industry, from the frst registered article in 1996 to 2022, in order to identify the latest trends in the study of this subject. A bibliometric and systematic analysis of the literature was carried out. First, for the quantitative analysis of the scientifc production, the bibliometric study was conducted, using the WoS database for data collection and the VosViewer and Bibliometrix applications to create the network maps. Second, once the literature had been examined quantitatively, content analysis was undertaken using the PRISMA methodology. The results show, among other aspects, the uneven distribution of the examined scientifc production from 1996 to 2022, that computer vision, data aggregation, life cycle assessment, precision viticulture, extreme learning machine and collaborative platforms are the major current keywords and the predominance of Spain and Italy in terms of scientifc production in the feld. There are various justifcations which support the originality of this study. First, it contributes to the nderstanding of academic literature and the identifcation of the most recent trends in the study of automation in the wine industry. Second, to the best of our knowledge, no prior bibliometric studies have considered this topic. Third, this research evaluates the literature from the frst record to the year 2022, thereby providing a comprehensive analysis of the scientifc production.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature

Does Ecological Agriculture Moderate the Relationship between Wine Tourism and Economic Performance? A Structural Equation Analysis Applied to the Ribera del Duero Wine Context

[EN] The purpose of this research is to analyze the effect of wine tourism activity on economic performance in the wine context of Ribera del Duero (Spain), as well as the mediating effect of ecological agriculture on this link. To this end, a conceptual model is proposed based on the literature review carried out and contrasted through structural equation modelling (PLS-SEM) with data from 263 wineries, which in turn represent the population under study. The study results allow for us to empirically demonstrate the positive and significant relationship of wine tourism on performance, as well as the partial mediation of ecological agriculture in this relationship. The study thus contributes to the academic literature in a remarkable way given that, to our knowledge, there are no previous studies that have addressed the mediating role of ecological agriculture in the wine tourism–economic performance link. However, the research also suffers from certain limitations. In particular, given the relevance of the study, it is necessary to broaden its geographical scope so that, as a future line of research, it is proposed to contextualize the model proposed in the California wine industry, being able to subsequently establish similarities and differences in the Old and New World.S