865 research outputs found

    A bibliometric study of the research area of videogames using Dimensions.ai database

    Get PDF
    Videogames are a very interesting area of research for fields as diverse as computer science, health, psychology or even social sciences. Every year a growing number of articles are published in different topics inside this field, so it is very convenient to study the different bibliometric data in order to consolidate the research efforts. Thus, the aim of this work is to conduct a study on the distribution of articles related to videogames in the different fields of research, as well as to measure their interest over time, to identify the sources, countries and authors with the highest scientific production. In order to carry out this analysis, the information system Dimensions.ai has been considered, since it covers a large number of documents and allows for easy downloading and analysis of datasets. According to the study, three countries are the most prolific in this area: USA, Canada and UK. The obtained results also indicate that the fields with the highest number of publications are Information and Computer Sciences, Medical and Health Sciences, and Psychology and Cognitive Sciences, in this order. With regard to the impact of the publications, differences between the number of citations, and the number of Altmetric Attention Score, have been found

    Identifying the determinants of individual scientific performance: A perspective focused on AMO theory

    Get PDF
    Purpose: The aim of this study is to empirically analyse how motivation and the opportunity toinvestigate enhance the direct relation between the researcher’s human capital and individual scientific performance. Design/methodology: Following recent investigations of strategic human capital and the abilities-motivation-opportunity (AMO) theory, we propose a double quantitative-qualitative methodology to identify the determinants of individual scientific performance. Findings: Applying regression analysis to a sample of 471 Spanish academic researchers, we confirm the moderating role of a researcher’s motivation and opportunities. Originality/value: Drawing on the empirical evidence obtained, this work discusses the relevant determinants of scientific productivity, providing practical recommendations for research management and policy makingPeer Reviewe

    Do as I say, not as I do: drivers of sustainability reporting Spanish universities

    Get PDF
    This paper attempts to find explanatory factors for the sustainability disclosure of public universities in Spain. It analyses the influence of some factors that previously been used in the private service sector but adapted to the particularities of higher education. It applies the index methodology to measure the information content of annual or sustainability reports. The total disclosure is divided into economic, environmental and social areas. In analyzing the features of the sustainable universities, the Spearman correlation coefficient is applied using the index scores. The variables included are: quality of teaching, performance in research, quality of the website, revenue per student, number of full-time equivalent students, and age of the university. The results show significant differences in the quantity of information disclosed by Spanish universities. Research performance is identified as the best explanatory factor for the disclosure of universities. These results are consistent with the principles of legitimacy theory and, at the same time, suggest that outstanding research institutions are more sensitive to social demand for proper accountability

    Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods

    Full text link
    The final publication is available at Springer via http://dx.doi.org/ 10.1007/s11192-016-1839-zLink analysis is highly effective in detecting relationships between different institutions, relationships that are stronger the greater their geographical proximity. We therefore decided to apply an interlinking analysis to a set of geographically dispersed research entities and to compare the results with the co-authorship patterns between these institutions in order to determine how, and if, these two techniques might reveal complementary insights. We set out to study the specific sector of public health in Spain, a country with a high degree of regional autonomy. We recorded all Spanish health entities (and their corresponding URLs) that belong to, and were hyperlinked from, the national government or any of the regional governments, gathering a total of 263 URLs. After considering their suitability for web metric analysis, interlinking scores between all valid URLs were obtained. In addition, the number of co-authored articles by each pair of institutions and the total scientific output per institution were retrieved from Scopus. Both interlinking and co-authorship methods detect the existence of strength subnets of geographically distributed nodes (especially the Catalan entities) as well as their high connectivity with the main national network nodes (subnet of nodes distributed according to dependence on national government, in this case Spain). However, the resulting interlinking pattern shows a low but significant correlation (r = 0.5) with scientific co-authorship patterns. The existence of institutions that are strongly interlinked but with limited scientific collaboration (and vice versa) reveals that links within this network are not accurately reflecting existing scientific collaborations, due to inconsistent web content development.Ontalba Ruipérez, JA.; Orduña Malea, E.; Alonso-Arroyo, A. (2016). Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods. Scientometrics. 106(3):1167-1191. doi:10.1007/s11192-016-1839-zS116711911063Aguillo, I. F., Granadino, B., Ortega, J. L., & Prieto, J. A. (2006). Scientific research activity and communication measured with cybermetrics indicators. Journal of the American Society for Information Science and Technology, 57(10), 1296–1302.Almind, T. C., & Ingwersen, P. (1998). Informetric analyses on the world wide web: methodological approaches to ‘webometrics’. Journal of Documentation, 53(4), 404–426.Barabasi, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512.Bar-Ilan, J. (2005). What do we know about links and linking? A framework for studying links in academic environments. Information Processing and Management, 41(4), 973–986.Barnett, George A., & Park, Han W. (2014). Examining the international internet using multiple measures: New methods for measuring the communication base of globalized cyberspace. Quality and Quantity, 48(1), 563–575.Eurostat. (2011). Regions in the European Union. Nomenclature of territorial units for statistics. NUTS 2010/EU-27. http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-RA-11-011/EN/KS-RA-11-011-EN.PDF Accessed 16 August 2015.García-Lacalle, J., Pina, V., & Royo, S. (2011). The unpromising quality and evolution of Spanish public hospital web sites. Online Information Review, 35(1), 86–112.García-Santiago, L., & Moya-Anegón, F. (2009). Using co-outlinks to mine heterogeneous networks. Scientometrics, 79(3), 681–702.González-Bailón, S. (2009). Opening the black box of link formation: Social factors underlying the structure of the web. Social Networks, 31(2009), 271–280.Heimeriks, G., Hörlesberger, M., & Van den Besselaar, P. (2003). Mapping communication and collaboration in heterogeneous research networks. Scientometrics, 58(2), 391–413.Heimeriks, G., & Van den Besselaar, P. (2006). Analyzing hyperlinks networks: The meaning of hyperlink based indicators of knowledge production. Cybermetrics, 10(1), http://cybermetrics.cindoc.csic.es/articles/v10i1p1.pdf . Accessed 16 August 2015.Holmberg, K. (2010). Co-inlinking to a municipal Web space: A webometric and content analysis. Scientometrics, 83(3), 851–862.Holmberg, K., & Thelwall, M. (2009). Local government web sites in Finland: A geographic and webometric analysis. Scientometrics, 79(1), 157–169.Khan, G. F., & Park, H. W. (2011). Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea. Journal of the American Society for Information Science and Technology, 62(12), 2443–2455.Lang, P. B., Gouveia, F. C., & Leta, J. (2014). Health research networks on the web: An analysis of the Brazilian presence. Cadernos de Saúde Pública, 30(2), 369–378.Leydesdorff, L., & Curran, M. (2000). Mapping university-industry-government relations on the Internet: The construction of indicators for a knowledge-based economy. Cybermetrics, 4(1). http://www.cybermetrics.info/articles/v4i1p2.pdf . Accessed 16 August 2015.Méndez-Vásquez, R. I., Suñen-Pinyol, E., Cervelló, R., & Camí, J. (2008). Mapa bibliométrico de España 1996–2004: Biomedicina y ciencias de la salud. Medicina clínica, 130(7), 246–253.Méndez-Vásquez, R. I., Suñén-Pinyol, E., & Rovira, L. (2012). Caracterización bibliométrica de la investigación biomédica española, WOS 1997–2011. http://bac.fundaciorecerca.cat/mb11 . Accessed 16 August 2015.Ministerio de Sanidad, Servicios Sociales e Igualdad. (2012). Sistema Nacional de Salud. España 2012. http://www.msssi.gob.es/organizacion/sns/docs/sns2012/SNS012__Espanol.pdf . Accessed 16 August 2015.Orduna-Malea, E., Ortega, J. L., & Aguillo, I. F. (2014). Influence of language and file type on the web visibility of top European universities. Aslib Proceedings, 66(1), 96–116.Orduna-Malea, E., & Aguillo, I. F. (2014). Cibermetría. Midiendo el espacio red. Barcelona: UOC Publishing.Orduna-Malea, E., & Aytac, S. (2015). Revealing the online network between university and industry: The case of Turkey. Scientometrics, 105(3), 1849–1866.Orduna-Malea, E., Delgado López-Cózar, E., Serrano-Cobos, J., & Romero, N. L. (2015a). Disclosing the network structure of private companies on the web: The case of Spanish IBEX 35 share index. Online Information Review, 39(3), 360–382.Orduna-Malea, E., & Ontalba-Ruipérez, J. A. (2013). Proposal for a multilevel university cybermetric analysis model. Scientometrics, 95(3), 863–884.Orduna-Malea, E., Torres-Salinas, D., & Delgado López-Cózar, E. (2015b). Hyperlinks embedded in twitter as a proxy for total external in-links to international university websites. Journal of the Association for Information Science and Technology, 66(7), 1447–1462.Ortega, J. L. (2007). Visualización de la Web universitaria Europea: análisis cuantitativo de enlaces a través de técnicas cibermétricas. Madrid: Universidad Carlos III de Madrid.Ortega, J. L., & Aguillo, I. F. (2009). Mapping world-class universities on the web. Information Processing and Management, 45(2), 272–279.Ortega, J. L., Orduna-Malea, E., & Aguillo, I. F. (2014). Are web mentions accurate substitutes for inlinks for Spanish universities? Online Information Review, 38(1), 59–77.Park, H. W. (2011). How do social scientists use link data from search engines to understand Internet-based political and electoral communication? Quality and Quantity, 46(2), 679–693.Park, H. W., & Thelwall, M. (2003). Hyperlink analyses of the World Wide Web: A review. Journal of Computer-Mediated Communication. doi: 10.1111/j.1083-6101.2003.tb00223.x .Romero-Frías, E., & Vaughan, L. (2010a). Patterns of web linking to heterogeneous groups of companies: The case of stock exchange indexes. Aslib Proceedings, 62(2), 144–164.Romero-Frías, E., & Vaughan, L. (2010b). European political trends viewed through patterns of Web linking. Journal of the American Society for Information Science and Technology, 61(10), 2109–2121.Seeber, M., Lepori, B., Lomi, A., Aguillo, I. F., & Barberio, V. (2012). Factors affecting web links between European higher education institutions. Journal of Informetrics, 6(3), 435–447.Stuart, D., & Thelwall, M. (2006). Investigating triple helix relationships using URL citations: A case study of the UK West Midlands automobile industry. Research Evaluation, 15(2), 97–106.Sud, P., & Thelwall, M. (2014). Linked title mentions: A new automated link search candidate. Scientometrics, 101(3), 1831–1849.Thelwall, M. (2001). Extracting macroscopic information from web links. Journal of the American Society for Information Science and Technology, 52(13), 1157–1168.Thelwall, M. (2002). Evidence for the existence of geographic trends in university web site interlinking. Journal of Documentation, 58(5), 563–574.Thelwall, M. (2004). Link analysis: An information science approach. San Diego: Elsevier.Thelwall, M. (2006). Interpreting social science link analysis research: A theoretical framework. Journal of the American Society for Information Science and Technology, 57(1), 60–68.Thelwall, M. (2009). Introduction to webometrics: Quantitative web research for the social sciences. San Rafael, CA: Morgan & Claypool Publishers.Thelwall, M., & Sud, P. (2011). A comparison of methods for collecting web citation data for academic organisations. Journal of the American Society for Information Science and Technology, 62(8), 1488–1497.Thelwall, M., & Tang, R. (2003). Disciplinary and linguistic considerations for academic web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan. Scientometrics, 58(1), 155–181.Thelwall, M., Tang, R., & Price, L. (2003). Linguistic patterns of Academic web use in Western Europe. Scientometrics, 56(3), 417–432.Vaughan, L. (2006). Visualizing linguistic and cultural differences using web co-link data. Journal of the American Society for Information Science and Technology, 57(9), 1178–1193.Vaughan, L., & Thelwall, M. (2003). Scholarly use of the web: What are the key inducers of links to journal web sites? Journal of the American Society for Information Science and Technology, 54(1), 29–38.Vaughan, L., & Thelwall, M. (2004). Search engine coverage bias: Evidence and possible causes. Information Processing and Management, 40(4), 693–707.Vaughan, L., & Wu, G. (2004). Links to commercial websites as a source of business information. Scientometrics, 60(3), 487–496.Vaughan, L., & You, J. (2006). Comparing business competition positions based on Web co-link data: The global market vs. the Chinese market. Scientometrics, 68(3), 611–628.Weber, M. S., & Monge, P. (2011). The flow of digital news in a network of sources, authorities, and hubs. Journal of Communication, 61(6), 1062–1081.Wilkinson, D., Harries, G., Thelwall, M., & Price, L. (2003). Motivations for academic Web site interlinking: Evidence for the Web as a novel source of information on informal scholarly communication. Journal of information science, 29(1), 49–56.Wilkinson, D., & Thelwall, M. (2013). Search markets and search results: The case of Bing. Library and Information Science Research, 35(4), 318–325

    Academic Human Capital and Research Performance

    Get PDF
    Academic research has been considered a relevant research topic in academia. Universities have emerged as a key agent for innovation and knowledge generation. Recently, universities are betting on a paradigm shift based on research efficiency. In view of the changes in the universities' vision, and with the aim of responding to these new demands, academic research institutions have articulated new types of resources and different management procedures that favour their contribution and commitment to the processes of knowledge generation. Therefore, the determinants of academic researchers' performance have been postulated as variables to be addressed in the field of human resource management. This thesis highlights the role of academic researchers as a unit of analysis. More specifically, this work aims to provide an answer to understanding the relationship between human capital and the research performance of academics, as well as the effect of motivation and opportunity as moderating variables. Human capital at the organisational level has been studied through three main dimensions following the KSA model (Knowledge, Skills, Abilities). This framework is contextualised in the academic environment, considering its particularities. Moreover, motivations and opportunity can enhance human capital advantages and scientific performance. To this end, this thesis also proposes the use of the AMO approach (Abilities as Human Capital, Motivation and Opportunity) as a framework for study in academia. The results of the empirical analysis suggest that there is a direct and positive relationship between human capital and research performance. Our study shows that research knowledge and research abilities drive research activity. However, there is some negative relationship between proactive creativity and research performance. This result is surprising because all dimensions of human capital contribute to performance. Furthermore, the results suggest that motivation and opportunity moderate the relationship between human capital and research performance. From this perspective, the results confirmed the existence of a greater contribution of research motivation than opportunity. In addition, the thesis proposes and validates a scale specifically developed to measure the different dimensions of human capital of academic researchers. The use of this scale allows to consider those attributes necessary for research activity in order to understand the complex nature of the topic. The thesis also provides a measure of the incentives that are perceived by academic researchers as drivers of research activity in an integrative way and at the individual level. To this end, researchers' perception of these incentives could be crucial for the management of research in universities. Finally, this thesis contributes significantly to (1) a better understanding of the research capabilities of academics and, (2) offering new variables to evaluate research performance and the implementation of research incentive policies. This contextualisation of the human capital approach is also related to the analysis of the factors that condition research performance, which favours the introduction and implementation of specific measures for the management of academic staff. Moreover, its application represents a significant contribution, since traditionally the determinants of research performance have been studied from a macro perspective, whereas through this approach we propose to deepen more intrinsic and specific dimensions reseachers.La investigación académica se ha considerado un tópico de investigación relevante en la academia. En la sociedad actual, la Universidad se ha erigido como un agente clave para la innovación y generación de conocimiento. Recientemente, las universidades están apostando por un cambio de paradigma basado en la eficiencia investigadora. Ante los cambios de visión de las universidades, y con objeto de dar respuesta a estas nuevas demandas exigidas, las instituciones de investigación académica han articulado nuevos tipos de recursos y diferentes procedimientos de gestión, que favorecen su aportación y compromiso a los procesos de generación de conocimiento. Por ello, los determinantes del rendimiento de los investigadores académicos se han postulado como variables a tratar en el ámbito de la gestión de los recursos humanos. Esta tesis destaca el rol de los investigadores académicos como unidad de análisis. Más específicamente, este trabajo tiene como objetivo dar respuesta a entender la relación entre el capital humano y el resultado de investigación de los académicos, así como el efecto de la motivación y la oportunidad como variables moderadoras de esa relación. El capital humano en el ámbito organizativo se ha estudiado a través de tres dimensiones principales siguiendo el modelo KSA (conocimiento- Knowledge, habilidades-Skills y competencias-abilities). Este marco se contextualiza en el ámbito académico, considerando las particularidades del mismo. Asimismo, las motivaciones y la oportunidad pueden potenciar las ventajas del capital humano y el rendimiento científico. Para ello, la presente tesis también propone la utilización del enfoque AMO (Abilities como capital humano, motivación y oportunidad) como marco de estudio en el ámbito académico. Los resultados del análisis empírico sugieren que existe una relación directa y positiva entre el capital humano y el rendimiento de investigación. Nuestro estudio refleja que los conocimientos de investigación y las competencias investigadoras impulsan la actividad investigadora. Sin embargo, existe una cierta relación negativa entre la creatividad proactiva y los resultados de investigación. Este resultado sorprende porque la naturaleza del capital humano es que todas las dimensiones contribuyan al rendimiento. Además, los resultados sugieren que la motivación y la oportunidad moderan la relación existente entre el capital humano y el rendimiento de investigación. Desde esta perspectiva, los resultados confirmaron la existencia de una mayor contribución de la motivación investigadora que de la oportunidad. Además, la tesis propone y valida una escala desarrollada específicamente para medir las diferentes dimensiones del capital humano de los investigadores académicos. El uso de esta escala permite tener en cuenta aquellos atributos necesarios para la actividad investigadora con el fin de comprender la naturaleza compleja del tópico. Asimismo, la tesis aporta una medida sobre los incentivos que son percibidos por los investigadores académicos como propulsores de la actividad investigadora de forma integradora y a nivel individual. Para ello, la percepción que tienen los investigadores de estos incentivos podría ser crucial para la gestión de la investigación en las universidades. Por último, señalar que esta tesis contribuye significativamente a (1) una mejor comprensión de las capacidades investigadoras de los académicos y, (2) ofrece nuevas variables para la evaluación del rendimiento de investigación y la implementación de políticas de incentivos en la actividad investigadora. Esta contextualización del enfoque del capital humano también lleva asociado el análisis de los factores que condicionan el desempeño investigador, lo que favorece la implantación y puesta en marcha de medidas específicas de gestión del personal académico. Además, su aplicación supone una novedad significativa, ya que tradicionalmente se han estudiado los factores determinantes de la productividad científica desde una perspectiva macro, mientras que a través de los planteamientos este enfoque profundizaremos en las dimensiones más intrínsecas y específicas del propio investigador académico

    The Current and Evolving Landscape of Bibliometric Tools and Technologies

    Get PDF
    While bibliometrics has been around for decades, with the recent development of new bibliometric tools, there has been a surge in interest in bibliometric services at academic institutions in North America. Navigating this rapidly evolving landscape can be a challenge for academic institutions as they attempt to determine which tools and skill sets will best meet their needs. This issue of Library Technology Reports, “The Current and Evolving Landscape of Bibliometric Tools and Technologies” (vol. 58, no. 8), will help guide decision makers and practitioners in their selection and use of current bibliometric tools and related systems, and it will offer some insight into future directions

    AI Knowledge Transfer from the University to Society

    Get PDF
    AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campu

    The countryside in urbanized Flanders: towards a flexible definition for a dynamic policy

    Get PDF
    The countryside, the rural area, the open space, … many definitions are used for rural Flanders. Everyone makes its own interpretation of the countryside, considering it as a place for living, working or recreating. The countryside is more than just a geographical area: it is an aggregate of physical, social, economic and cultural functions, strongly interrelated with each other. According to international and European definitions of rural areas there would be almost no rural area in Flanders. These international definitions are all developed to be used for analysis and policy within their specific context. They are not really applicable to Flanders because of the historical specificity of its spatial structure. Flanders is characterized by a giant urbanization pressure on its countryside while internationally rural depopulation is a point of interest. To date, for every single rural policy initiative – like the implementation of the European Rural Development Policy – Flanders used a specifically adapted definition, based on existing data or previously made delineations. To overcome this oversupply of definitions and delineations, the Flemish government funded a research project to obtain a clear and flexible definition of the Flemish countryside and a dynamic method to support Flemish rural policy aims. First, an analysis of the currently used definitions of the countryside in Flanders was made. It is clear that, depending on the perspective or the policy context, another definition of the countryside comes into view. The comparative study showed that, according to the used criteria, the area percentage of Flanders that is rural, varies between 9 and 93 per cent. Second, dynamic sets of criteria were developed, facilitating a flexible definition of the countryside, according to the policy aims concerned. This research part was focused on 6 policy themes, like ‘construction, maintenance and management of local (transport) infrastructures’ and ‘provision of (minimum) services (education, culture, health care, …)’. For each theme a dynamic set of criteria or indicators was constructed. These indicators make it possible to show where a policy theme manifests itself and/or where policy interventions are possible or needed. In this way every set of criteria makes up a new definition of rural Flanders. This method is dynamic; new data or insights can easily be incorporated and new criteria sets can be developed if other policy aims come into view. The developed method can contribute to a more region-oriented and theme-specific rural policy and funding mechanism
    corecore