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- PublicationCo-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change(Elsevier, 2021-04) Mas-Tur, Alicia; Roig Tierno, Honorat; Sarin, Shikhar; Haon, Christophe; Sego, Trina; Belkhouja, Mustapha; Porter, Alan; Merigó-Lindahl, José María; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Grupo de Investigación de Economía Internacional y Desarrollo[EN] Technological Forecasting and Social Change (TF&SC) is a leading international journal that publishes major advances related to technological forecasting and future studies. The journal was launched in 1969 and in 2019 celebrated its 50th anniversary. To celebrate 50 years of outstanding contributions, this study presents a bibliometric analysis of TF&SC publications and patterns of citations within TF&SC in terms of authors, institutions and countries. The analysis relies on the Web of Science Core Collection database for bibliographic content and Visualization of Similarities viewer software for mapping of bibliometric data. Our analysis identifies leading authors, universities and countries that produce publications in TF&SC. This study also applies bibliometric analysis of co-citations and bibliographic coupling. Results suggest that authors and publications originating in the USA and the Netherlands are particularly influential. However, the journal is becoming more geographically diverse. Mapping of co-citations and bibliographic coupling suggests that work published in TF&SC is represented by several heterogeneous clusters.
- PublicationFirm survival: The role of incubators and business characteristics(Elsevier, 2015-04) Mas Verdú, Francisco; Ribeiro Soriano, Domingo; Roig Tierno, Honorat; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Grupo de Investigación de Economía Internacional y DesarrolloThis paper analyzes the impact of business incubators on firm survival. Using a configurational comparative method, namely fuzzy-set qualitative comparative analysis (fsQCA), the article also examines whether degree of business innovation, size, sector, and export activity affects firm survival. Results show that, when combined with other variables (i.e. sector, technology), business size is a sufficient condition for firm survival. Likewise, incubators alone cannot affect survival. A combination between incubators and other factors is necessary to ensure firm survival.
- PublicationInnovation facilitators and sustainable development: a country comparative approach(Springer-Verlag, 2023-03) Chaparro Banegas, Nuria; Ibañez Escribano, Ana Maria; Mas-Tur, Alicia; Roig Tierno, Honorat; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Grupo de Investigación de Economía Internacional y Desarrollo; Universitat Politècnica de València[EN] National and international organizations have introduced policies aimed at sustainable development. These policies are designed to encourage sustainable forms of business to meet the Sustainable Development Goals (SDGs) of the 2030 Agenda. Regional inequalities in sustainable development may be exacerbated by disparate levels of innovation. This paper analyzes the variations between clusters of countries according to the degree to which they have achieved the SDGs and their levels of innovation facilitators. Two types of analyses were employed. First, cluster analysis was used to examine changes in groups of regions with similar innovation characteristics between 2015 and 2020. Data for 122 countries were gathered from the World Bank, the SDG Index, and the Global Innovation Index. Second, multiple linear regression analysis was used to assess the power of the variables in the model to explain the level of sustainable development. The results reveal four clusters (low, medium, high, and very high innovative facilitators and sustainable development), as well as movements between those clusters from 2015 to 2020. The multiple linear regression analysis shows that the variables have explanatory power with respect to the dependent variable of sustainable development. This analysis also reveals different degrees of importance of the variables for each cluster. The findings highlight the need to consider the limitations of economic growth in terms of innovation facilitators to promote sustainable development. If policymakers recognize the limitations of economic growth and the physical ecosystem, degradation of the environment can be avoided, even when there is innovation. Global and individual social welfare can thus be ensured. This study offers valuable insights into how to achieve sustainable development through innovation facilitators by providing in-depth knowledge of the individual characteristics of innovation systems and considering the limitations of economic growth.
- PublicationDoes hybrid learning hinder academic performance?(Editorial Universitat Politècnica de València, 2022-01-19) Sendra-Pons, Pau; Chaparro Banegas, Nuria; Mas Tur, Alicia; Roig Tierno, Honorat; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Grupo de Investigación de Economía Internacional y Desarrollo; Generalitat Valenciana[EN] Given the constant digital transformations experienced by society in different fields and, more specifically, in education, higher education institutions have been forced to incorporate technological innovations in their teaching strategies with the aim of stimulating active student participation (Dziuban et al., 2018). Traditional learning is based on the explanation by the faculty team of a particular concept in class, where students can participate both face-to-face and synchronously (Tran, 2016). In contrast, online learning employs educational contents and materials through the Internet (Singh, 2021). Consequently, hybrid learning, which is characterized by combining online and face-to-face learning, leverages the advantages of both teaching methods (Klimova & Kacetl, 2015) providing students with flexibility, motivation, interest, and an entertaining educational experience. The practical, logistical, and educational possibilities offered by hybrid learning (Bower et al., 2015) depend to a greater extent to the fact students and faculty are provided with supportive tools and knowledge that enable the efficient and effective use of online resources and technology (Rasheed et al., 2020). In recent times, hybrid learning has played a key role in the response of higher education institutions to the challenges posed by the COVID-19 pandemic. However, while hybrid learning has been a solution employed throughout the world to continue teaching during the worst of the pandemic, there is a need to evaluate the effects of this type of learning on the academic performance of students. In this sense, while some studies demonstrate that the grades of the students engaging in hybrid learning are higher than those in traditional learning (e.g., Potter, 2015; Harahap et al., 2019), others advocate that the differences in grades obtained by individuals of both groups are not statistically significant (e.g., Hsu y Hsieh, 2011; Halasa et al., 2020). The present study aims to analyze these effects by examining the differences in academic performance between a group of students with full face-to-face teaching and another with hybrid teaching. The objective is twofold: on the one hand, to determine whether hybrid learning meets the learning standards of traditional face-to-face teaching or whether it differs and in what sense it does so; on the other hand, to propose improvements in the hybrid learning model by introducing active learning methodologies that reinforce its pedagogical capacity. The methodology used consists of an ANOVA analysis to demonstrate if there are significant differences between the academic performance, measured by the grade of the course, of those students with hybrid learning [Group 1] and those who attended classes in person at all times [Group 2]. The following graph exhibits the mean and dispersion of grades for both groups of students. The mean of grades of individuals learning through traditional methods is higher compared to the mean of hybrid learning students. In this sense, this difference may be explained due to students’ distinct levels of motivation and attention span as they may adopt a passive behavior and may find problems in maintaining the interest during the hybrid learning process. The variability of grades also reflects this argument as Group 2 presents a more homogeneous performance than Group 1. Therefore, the results corroborate the existence of significant differences, with those students with hybrid learning presenting a lower performance. Table 1. Mean and dispersion of grades of hybrid learning students. Based on these results, we explore the challenges associated with non-face-toface learning in higher education and suggest pedagogical mechanisms aimed at increasing student motivation and engagement with hybrid learning (see, e.g., Sendra-Pons et al., 2020). This study not only has implications in the context of the COVID-19 pandemic but also contributes to a better understanding of a learning approach that seems to be taking root in higher education institutions. However, the study, although informative, is limited by the size of the sample, and it is necessary to corroborate the results.
- PublicationCompetitiveness in European Regions and Top-Ranked Universities: Do Local Universities Matter?(Tomas Bata University in Zlín, Faculty of Management and Economics, 2020-12) Mas Verdú, Francisco; Roig Tierno, Honorat; Nieto-Alemán, Paula Andrea; García Alvarez-Coque, José María; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural; Grupo de Investigación de Economía Internacional y Desarrollo; Generalitat Valenciana; Agencia Estatal de Investigación[EN] Based on fuzzy-set qualitative comparative analysis (fsQCA), this paper examines the interactions between the presence or absence of regional and national top-ranked research universities and other innovation-related conditions that foster regional competitiveness in the European Union context. We evaluated the effect of a region's membership in different regional clusters as characterized by the following conditions: inter-firm collaboration in innovation activities, public R&D expenditure, private R&D expenditure as well as ranking in the list of the world's top 300 (or top 100) universities. As one region might benefit from the presence of a local top-ranked university and/or from spillover effects from other national universities, we distinguish between the presence of universities within the region or elsewhere in the same country. Our results suggest that some conditions are necessary to achieve the outcome of being a "competitive region," including having at least one top-300-ranked university in the same country (EU member state). Nevertheless, this attribute is not individually sufficient to incur the outcome of regional competitiveness. Our findings support the idea that the closeness of top-ranked universities does not itself guarantee regional competitiveness; instead, having an excellent research university within the same member state is only one of numerous configurations which may lead to a region's success. These results support evidence in recent literature that leading research universities may be geographically connected to a wide network of actors with external knowledge interactions.
- PublicationThe retail site location decision process using GIS and the analytical hierarchy process(Elsevier, 2013-06) Roig Tierno, Honorat; Baviera Puig, Maria Amparo; Buitrago Vera, Juan Manuel; Mas Verdú, Francisco; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural; Grupo de Investigación de Economía Internacional y Desarrollo[EN] The opening of a new establishment is a critical factor for firms in the retail sector because the decision carries with it a series of very serious financial and corporate image risks. This paper presents the development of a methodology for the process of selecting a retail site location that combines geographic information systems (GIS) and the analytical hierarchy process (AHP). The AHP methodology shows that the success factors for a supermarket are related to its location and competition. The proposed retail site location decision process was applied to the opening of a new supermarket in the Spanish city of Murcia.
- PublicationNatural language processing of social network data for the evaluation of agricultural and rural policies(Elsevier, 2024-07) Gutiérrez Domínguez, Alba; Roig Tierno, Honorat; Chaparro Banegas, Nuria; García Alvarez-Coque, José María; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural; Grupo de Investigación de Economía Internacional y Desarrollo; Universitat Politècnica de València[EN] Global sustainable development challenges affect the agricultural sector, and many innovations aimed at addressing these challenges have been introduced in the agri-food sector. In this complex context, new agricultural policies are being implemented in Europe. Their success depends on their potential to adapt to new realities, responding to the opinions and demands of the European population. Given the rapid rise of social media as an important part of people's daily lives, public administrations have introduced digitalization and communication strategies through social media sites. Social media can provide policymakers with large amounts of data on user opinions. Given the value of social media as a rich source of data on public views and opinions, the aim of this paper is twofold: (i) to use natural language processing (NLP) to identify the events that have led to negative or positive opinion about European Common Agricultural Policy (CAP) reform and (ii) to evaluate the ability of NLP to study users' opinions on Twitter/X. The findings show that issues such as Brexit, the European Green Deal, the role of CAP in the environment, livestock farming, food safety, and illegal practices and corruption in the distribution of CAP funds have crucial implications for the design and application of the new CAP. Moreover, the study also suggests that NLP techniques can provide opportunities to integrate agricultural policies and instruments in the agri-food sector by assessing society's opinions. Sentiment analysis, even considering its limitations, could support sound and inclusive policymaking approaches anticipating public opinion in cases of risk of social unrest.
- PublicationKnowledge Drivers, Business Collaboration and Competitiveness in Rural and Urban Regions(Springer-Verlag, 2021-08) García Alvarez-Coque, José María; Roig Tierno, Honorat; Sanchez-García, Mercedes; Mas Verdú, Francisco; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural; Grupo de Investigación de Economía Internacional y Desarrollo; Generalitat Valenciana; AGENCIA ESTATAL DE INVESTIGACION; Agencia Estatal de Investigación; European Regional Development Fund[EN] Many rural regions are characterised by low technology-intensive activities. Their predominant focus is often on primary, agri-food, and natural resources and services sectors, and there is a competitive gap with respect to urban regions. The objective of this article is to determine the contribution of the innovation system to regional development, distinguishing between rural and urban regions. Qualitative comparative analysis was used to study 256 EU NUTS 2 regions. The analysis helped identify 'recipes' of drivers of regional competitiveness in rural and urban regions. These innovation recipes consist of varying combinations of private and public R&D expenditure, the presence or absence of top-ranked universities and the percentage of SMEs that collaborate in innovation activities. In rural regions, excellence in higher education combined with strong public and private R&D offers an important recipe for regional competitiveness. Alternative pathways include the presence of business collaboration as a driver of competitiveness
- PublicationFactors Affecting Entrepreneurship and Business Sustainability(MDPI AG, 2018-02) Tur-Porcar, Ana; Roig Tierno, Honorat; Llorca Mestre, Anna; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Grupo de Investigación de Economía Internacional y Desarrollo; Generalitat Valenciana; Ministerio de Economía y Competitividad[EN] Sustainability is becoming increasingly important for society, and the creation of business ventures is one area where sustainability is critical. We examined the factors affecting actions that are designed to foster business sustainability. These factors are related to the environment, behavior, human relations, and business activity. Based on questionnaire responses from experts, the Analytic Hierarchy Process (AHP) method was used to rank sustainable business criteria according to their importance for entrepreneurs starting sustainable businesses. The results indicate that the most important drivers of sustainable entrepreneurship are behavioral factors and business factors. Ethical principles and values, together with competitive intelligence, are crucial for undertaking actions that lead to sustainability.
- PublicationSustainable Development: Actual Trends on Synthetic Indicators, Non-aggregative and Configurational Approaches(Springer-Verlag, 2021-08) Roig Tierno, Honorat; Arcagni, Alberto; Facultad de Administración y Dirección de Empresas; Departamento de Economía y Ciencias Sociales; Grupo de Investigación de Economía Internacional y Desarrollo[EN] Sustainable development is key for the fundamental challenges of humanity. The use of non-aggregative approaches can be attractive when trying to understand the relationships of humanity with both nature and society. Qualitative Comparative Analysis (QCA) is a method that merges the advantages of qualitative and quantitative methodologies and identifies patterns of conditions that are necessary or sufficient for explaining an outcome. Partially ordered set (poset) theory is a branch of mathematics through which tools that allow dealing with multidimensional systems of ordinal data are obtained. Assessing well-being and development requires sharing a conceptual framework on its determinants, as well as on society, and needs from the identification of the most consistent and effective methodologies to build indicators that are easily understood by society. Sustainable development is an increasingly interesting issue whose academic development can be improved thank to the use of these methodologies, in its combination of environmental and socio-economic concerns.