Automated Information Retrieval from the Bibliographic Metadata: A Way to Facilitate the Systematic Literature Review

[EN] The aim of this paper is to demonstrate the possible enrichment of the traditional procedure of bibliographic literature review using Natural Language Processing (NLP) methods - automated information retrieval. Our task was to conduct a systematic review of academic literature focused on the classical music audience research in the context of arts management and arts marketing. As a core base, we used bibliographic metadata, extracted from the Scopus database. The limits of the most commonly used methods of bibliographic analysis of the literature, which are co-citation analysis and bibliographic coupling, are well known. Therefore, we also used one of the NLP methods for metadata analysis, which allows automated processing of large numbers of texts to overcome these known problems. Thanks to this, we managed to obtain a higher granularity of the researched topics, to reveal emerging topics and to identify gaps in research. To the best of our knowledge, such an approach to the systematic literature review in the field of social sciences has not yet been applied.Vítová Dušková, M.; Víta, M. (2022). Automated Information Retrieval from the Bibliographic Metadata: A Way to Facilitate the Systematic Literature Review. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 259-266. https://doi.org/10.4995/CARMA2022.2022.1510425926

Using psychological networks to develop an integrated relational framework to understand organizational climate

This study presents an integrated relational framework for investigating and comprehending organizational climate using the interactive dimensions of Quinn and Rohrbaugh's Competing Values Model (CVM). With a survey of 1,053,118 workers from 156 Brazilian companies and the application of a psychological networks’ technique, this research identified five distinct clusters from the vicinity of the most central nodes, offering further insights into the interactions between different CVM domains. Using the clusters within the four CVM quadrants, a Relational Framework for Organizational Climate was developed, providing an integrated approach that displays the most relevant item connections from various dimensions, aiding in the understanding of organizational climate. Among the various findings, this study emphasizes the centrality of enabling workers to participate in decision-making processes as the inter- and intra-organizational aspect most critical to the understanding and improvement of organizational climate. This study also considers additional issues in the context of the contributions of utilizing psychological networks for researching organizational climate, providing insights for further development

4th. International Conference on Advanced Research Methods and Analytics (CARMA 2022)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 4th International Conference on Advanced Research Methods and Analytics (CARMA) is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges. Due to the covid pandemic, CARMA 2022 is planned as a virtual and face-to-face conference, simultaneouslyDoménech I De Soria, J.; Vicente Cuervo, MR. (2022). 4th. International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2022.2022.1595

How does the spatial and social dynamics of the Natterer's bat Myotis nattereri affect disease transmission and conservation?

PhD ThesisNatterer’s bats (Myotis nattereri) are typical of many Bat species in that they participate in a variety of distinct seasonal communities and behaviours. In summer adult females are thought to be largely philopatric to their natal community/landscape where they rear their young and form largely matrilineal communities. Bat foraging behaviour and social participation is largely unquantified, as is our understanding of how age/maturity and sex may mediate their social behaviour. Crucially, the rate of female dispersal between communities is completely unquantified. A much better understanding of bat spatial and social dynamics is necessary to inform statutory functions, effective conservation and epidemiological modelling. We have mapped and quantified the spatial and social dynamics of three communities of Natterer’s bats. Uniquely our roost switching data comes from a community roosting entirely in natural roosts. Radio-tracking, ringing and DNA evidence can be combined at one site, whilst ringing and DNA can be combined at two others. In addition, DNA samples from a further two sites could be included to complete the comparison of 183 Natterer’s bats from 5 sites. Microsatellite data (based on 15 markers) was used to describe relatedness at two functional scales (between roosts within a community and between communities). Relatedness and population structure was also compared to home range analysis and roost use to determine if related individuals forage close to each other or share a roosts more frequently than unrelated individuals. Novel descriptions of demographic and epidemiological rates for this species were determined, which has been incorporated into predictive models of how both the community may respond to changes in the environment, or diseases may spread within the community which will help improve bat Conservation