Digital transformation: towards new research themes and collaborations yet to be explored

This study aimed at providing an overview of research themes and collaborations in the digital transformation scholarship. The methods of co-word analysis, co-author analysis, and network analysis were employed to network-analyze the keywords, countries, and institutions of 2820 research articles published on the digital transformation topic and indexed by the Web of Science database. Our main results indicated that researchers have mostly focused on three aspects of the digital transformation phenomenon including Technological and Industrial View, Organizational and Managerial View, and Global and Social View. Also, it was realized that Technology, Sustainability, Big Data, Information and Communications Technology, Innovation, Industry 4.0, Artificial Intelligence, Business Model, Social Media, and Digitization are the most recurring themes in this field of research. Besides, Small and Medium-Sized Enterprises, Blockchain, Machine Learning, Knowledge Management, and Sustainable Development were respectively identified as the five hottest issues in the digital transformation scholarship. The contribution of our study highlights that European countries and specially the institutions of northern Europe have had better performance in the research collaborations in digital transformation.info:eu-repo/semantics/acceptedVersio

Fandom, Folksonomies and Creativity: the case of the Archive of Our Own

Over recent years Web 2.0 has brought information into the hands of the public, and we are increasingly seeing non-professionals doing sophisticated information tasks not merely for work, research or personal interest, but also for leisure – and even pleasure. This paper looks at an online fanfiction repository, Archive of Our Own (AO3), and investigates the ways that media fans have co-opted new technologies to build a ‘curated folksonomy’ (Bullard 2014), in order to organise the fanworks (fan-created creative works) uploaded by fans to the website. Run by volunteers, the site is a fascinating example of how passion, and even obsession, can bring amateur knowledge workers together collaboratively with users to build an intricate ‘democratic indexing’ system (Hidderley and Rafferty 1997; Rafferty and Hidderley 2007). Through methods of tag analysis and interviews, the paper explores how Archive of Our Own’s curated folksonomy allows fans to make full and creative use of their own original, freeform tags, while also building a highly granular and sophisticated taxonomy which, though highly labour-intensive to maintain, serves the community by maintaining a high degree of accuracy while also preserving the folksonomic properties of freeform tagging. As well as building a functioning taxonomy, through standardising its nomenclature, and facilitating the discoverability of AO3’s collections to its users, these amateur knowledge workers see their domain expertise and knowledge organisation labour as a type of fanwork that ‘gives back to the community’, in lieu of other creative works such as fanfiction and fanart

Exploring the Structure of Library and Information Science Web Space Based on Multivariate Analysis of Social Tags

Introduction. This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tri-partite graphs, pattern tracing and descriptive statistics. This study is one of the few studies to employ multivariate analysis in investigating dimensions of Web spaces based on social tagging data. Method. This study examines the post data collected from a set of library and information science related Websites bookmarked on Delicious.com using a Web crawler. Post data consist of the URL, usernames, tags and comments assigned by users of Delicious.com. The collected tag data were analysed based on multivariate methods, such as multidimensional scaling and structural equation modelling. Analysis. Collected data were first analysed using multidimensional scaling to explore initial relationships amongst the selected Websites. Then, confirmatory factor analysis based on structural equation modelling was employed to examine the hierarchical structure of the library & information science Web space. Results. Social tag data exhibit different dimensions in the Web space of the library and information science field. In addition, social tags confirmed the hierarchical structure of the field by showing significantly stronger relationships between the sites with similar characteristics. That is, the structure of the tagging data shows similar connections to those present in the real world. Conclusions. This study suggests a new statistical approach in social tagging and Web space analysis studies. Tag information can be used to explain the hierarchical structure of a certain domain. Methodologically, this study suggests that structural equation modelling can be a compelling method to explore hierarchal structures of nodes on the Web space

Quantitative intersectional data (QUINTA): a #metoo case study

This research began as an investigation of the #metoo movement, with the initial impetus to illuminate the voices located on the margins, those who often go unheard or are never recognized. This work aimed to understand the intersectional aspects of how these hashtag variations of the hashtag #metoo (i.e. #metoomosque, #churchtoo, #metoodisable, #metooqueer, #metoochina, etc) reveal the inequities of the #metoo movement on Twitter. The proliferation of these hashtag variations has often been ignored by scholars, and therefore absorbed into the larger #metoo movement conversation on Twitter. Therefore, the term `hashtag derivative\u27 was created to describe the variation on the theme of its original hashtag, strongly reflecting its composition. Moreover, a critical theory such as Intersectionality is well-equipped to explore how overlapping identities encounter structure social reality relationship to power. Amid a pandemic and racial unrest, the true capabilities of Intersectionality to describe inequities and injustices beyond the singular social position of race and gender are not widely understood. Data science, is not absolved of its role in inequities and injustices merely by dint of being a quantitative field that claims to ``objectivity\u27\u27. Social scientists have illuminated the racism, sexism, ableism, transphobia, homophobia, prejudice, bigotry, and bias embedded in data science\u27s technology, tools, and algorithms. This has, direct and indirectly, grave consequences on an entire community as a whole as well as marginalized communities. The application of Intersectionality into a quantitative field can provide researchers a formal structure to be more conscientious about how to critique, develop, and design their data science processes, while also reckoning with their own positioning in relationship to the data. In this way, Intersectionality is inclusive in terms of data equity yet adds an additional layer of accountability to the researcher. This research leads to the three critical contributions of this work: (1) creating a more concise terminology to describe the phenomenon of hashtag variation, known as hashtag derivatives, (2) defining the historical context of Intersectionality and building a formal case for this to be properly contextualized in the Computer Science field (in particular Data Science), and (3) developing the Quantitative Intersectional Data (QUINTA) Framework which data scientists and scholars can use to be more equitable, inclusive and accountable for their role in the data science process

Serious leisure in the digital world: exploring the information behaviour of fan communities

This research investigates the information behaviour of cult media fan communities on the internet, using three novel methods which have not previously been applied to this domain. Firstly, a review, analysis and synthesis of the literature related to fan information behaviour, both within the disciplines of LIS and fan studies, revealed unique aspects of fan information behaviour, particularly in regards to produsage, copyright, and creativity. The findings from this literature analysis were subsequently investigated further using the Delphi method and tag analysis. A new Delphi variant – the Serious Leisure Delphi – was developed through this research. The Delphi study found that participants expressed the greatest levels of consensus on statements on fan behaviour that were related to information behaviour and information-related issues. Tag analysis was used in a novel way, as a tool to examine information behaviour. This found that fans have developed a highly granular classification system for fanworks, and that on one particular repository a ‘curated folksonomy’ was being used with great success. Fans also use tags for a variety of reasons, including communicating with one another, and writing meta-commentary on their posts. The research found that fans have unique information behaviours related to classification, copyright, entrepreneurship, produsage, mentorship and publishing. In the words of Delphi participants – “being in fandom means being in a knowledge space,” and “fandom is a huge information hub just by existing”. From these findings a model of fan information behaviour has been developed, which could be further tested in future research

Serious Leisure In The Digital World: Exploring The Information Behaviour Of Fan Communities

This research investigates the information behaviour of cult media fan communities on the internet, using three novel methods which have not previously been applied to this domain. Firstly, a review, analysis and synthesis of the literature related to fan information behaviour, both within the disciplines of LIS and fan studies, revealed unique aspects of fan information behaviour, particularly in regards to produsage, copyright, and creativity. The findings from this literature analysis were subsequently investigated further using the Delphi method and tag analysis. A new Delphi variant – the Serious Leisure Delphi – was developed through this research. The Delphi study found that participants expressed the greatest levels of consensus on statements on fan behaviour that were related to information behaviour and information-related issues. Tag analysis was used in a novel way, as a tool to examine information behaviour. This found that fans have developed a highly granular classification system for fanworks, and that on one particular repository a ‘curated folksonomy’ was being used with great success. Fans also use tags for a variety of reasons, including communicating with one another, and writing meta-commentary on their posts. The research found that fans have unique information behaviours related to classification, copyright, entrepreneurship, produsage, mentorship and publishing. In the words of Delphi participants – “being in fandom means being in a knowledge space,” and “fandom is a huge information hub just by existing”. From these findings a model of fan information behaviour has been developed, which could be further tested in future research

VIII Congreso de la Red Española de Política Social (REPS). REPS 2021 Bilbao. Cuidar la vida, garantizar la inclusión, convivir en diversidad: consensos y retos: actas del congreso

1929 p.En marzo de 2021 tuvo lugar en Bilbao el octavo congreso de la Red Española de Política Social, organizado conjuntamente por la Universidad del País Vasco y la Universidad de Deusto, con la colaboración del Centro de Estudios SIIS, de la Fundación Eguía Careaga y en el marco de Espanet, la Red Europea para el Análisis de las Políticas Sociales. El encuentro que no habíamos podido realizar en julio de 2020 por la situación de pandemia, aunque modificado en sus características por la misma razón, se llevó a cabo casi un año después, con motivación y ánimo redoblados. La Red Española de Política Social pretende ser comunidad de practica y conocimiento de diversos agentes relevantes en la construcción, implementación y evaluación de estrategias públicas para la protección y promoción del bienestar de la ciudadanía en nuestro entorno, siendo sus congresos (en Oviedo, Madrid, Pamplona, Alcalá de Henares, Barcelona, Sevilla, Zaragoza y, el último hasta la fecha, Bilbao) la cita principal de encuentro y avance en ese empeño. Nos reunimos bajo el lema “Cuidar la vida, garantizar la inclusión, convivir en diversidad” y con cuatro preguntas que queremos seguir haciéndonos tras el congreso: ¿Qué sabemos que funciona con suficiente base de evidencia? ¿A qué valores compartidos no vamos a renunciar? ¿Qué consensos conceptuales consideramos logrados? ¿Qué desafíos prioritarios nos han de ocupar? Nos importaba y nos importa tanto reconocer los consensos como identificar los retos