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The purpose of this paper is to portray social learning in cluster initiatives (CIs), namely, to explore, with the lens of the communities of practice (CoPs) theory, in what ways social learning occurs in CIs and discover how various CoPs emerge and evolve in CIs to facilitate a collective journey in their learning process. Subsequently, the authors address the following research questions: In what ways does social learning occur in CIs? How is social learning facilitated through the emergence and evolution of various CoPs in CIs?

The study applies the abduction approach for the interpretation of the collected data and attempts to create the best explanations for the observations on the basis of the CoP theory. The qualitative study of four CIs helped to identify various ways that social learning occurs in CIs and the role of the identified CoPs in the process. Social learning is portrayed as a collective journey within and between CoPs, where the interactions of their members deepen their level of involvement and help them to enhance learning in their CoP.

The paper shows ways that social learning occurs in CIs and describes the role of CoPs. It identifies three types of CoPs in CIs: participants, cooperators and locomotives. Additionally, it documents different ways of social learning in CIs, namely, one-way or two-way information transfer and raising awareness; demonstrating and inspiring; or motivating and educating. It also shows that while potentially every member of a CI has access to these practices, only a limited number of members are actually involved. Social learning in CIs is selective and some CI members accept their role as more peripheral in their CI.

The research shows the application of the CoP theory to the analysis of social learning in CIs, a peculiar type of clusters. It describes how CoPs in the studied CIs varied in terms of the occurrence of learning. Furthermore, it reveals how social learning related to the level of involvement of CI members, namely, with an increase of involvement, the members formed more selective CoPs and strengthened their social learning. Nevertheless, the qualitative approach in the study and the specific sample of the CIs chosen for the analysis do not allow a generalization of the findings.

Although in different CoPs social learning occurs in different ways, at each stage of the development of CIs, the learning process is carried out on the basis of interactions created among members. Therefore, it is important to support the “soft” forms of cooperation within CIs – involving members in activities and developing interactions. In addition, to ensure the growth of their entire CI, coordinators should create conditions for the development of existing CoPs into higher forms, which better support learning. They should also adopt boundary-spanning roles between various CoPs to strengthen social learning in CIs.

The literature on CIs, which are peculiar forms of clusters, is still underdeveloped. The research fills in the gap concerning the ways social learning occurs in CIs. It shows that selectiveness can be observed in this process, and emphasizes the role of interactions developed through CoPs and the benefits offered by them. The study applies the CoP approach. Consequently, it expands the theoretical base in view of the generally lacking studies on social learning in CIs in the literature on clustering. Because the CoP theory has rarely been applied in the management literature, it also augments this specific field.

This paper aims to show the possibilities of implementing the idea of sustainability in the context of energy transformation using the concept of an industrial cluster. The implementation of the idea of sustainability is of particular importance from the perspective of the functioning of the meta-organisations involved in the implementation and promotion of decarbonisation processes. Industrial clusters, as collective actors initiating collective actions and providing complex governance structures, seem to have a great fit with regard to the needs of disseminating and implementing the idea of sustainable development, also in conjunction with energy development.

Empirical evidence is derived from a case study of Mazovia Clustes ICT (MC ICT). Based on the experience of this cluster, this study wants to show the evolution of the industrial cluster through the prism of its growing activity in supporting energy transition. The authors conducted the research in the period 2022–2023 using in-depth personal interviews and an analysis of the secondary data. The primary technique for data analysis and interpretation was conventional qualitative content analysis.

As a result of this study, the authors have distinguished three main areas of cluster activity covering the strategic, operational/project and institutional levels. Within the first area, the cluster’s efforts focused on the development of a strategy and involvement in lobbying and co-legislating. The second area refers to the cluster’s activity in the carrying out of national and transnational projects on the creation and implementation of various energy solutions. The activities undertaken in the third area include support for the development of start-ups in the field of energy and involvement in the launch of an energy cluster and the development of distributed energy in Poland. Although the strategic and operational/project levels are characterised by a commonality of activities and goals, there is additionally a commonality of interests at the institutional level.

This paper has its limitations, which primarily relate to the small research sample (the choice of a case study as the main research strategy) and the methods used (qualitative research). Therefore, it is impossible to generalise the results to the entire population of clusters.

This paper has considerable practical value, as the results of this study may be relevant for public authorities interested in implementing energy transition through industrial clusters. The activities described can also be a source of inspiration for other clusters interested in shaping pro-environmental attitudes.

The cluster’s activities are closely linked to the three pillars of sustainable development, including the social pillar. The solutions developed within the cluster in the context of energy development are aimed not only at increasing energy efficiency and protecting the environment but also at broader social welfare.

This paper makes an additional contribution to the state-of-the-art of the industrial cluster concept by linking it to the idea of sustainable development, in the context of energy transformation. In addition, it sheds new light on issues related to cluster co-operation, combining the case of the industrial cluster with the very fresh and as yet poorly described idea of the energy cluster.

The purpose of the paper is to portrait how members of cluster organizations (COs) perceive the role of COs in enabling them to accumulate technological capability (TC) significant for their innovation.

The authors report the findings from their qualitative study based on an analysis of four COs. The organizational inertia and absorptive capacity theories are the theoretical underpinning of the research.

The study shows that the dynamics of TC of the cluster companies included in the study sample relates to their initial level of TC and cluster cooperation. The companies with relatively low initial TC increase it through COs if the clusters offer comparatively high benefits. On the other hand, those COs' members that present relatively high initial TC advance it, provided that the external knowledge and other benefits they can absorb in their clusters are suited to their technological trajectories.

The research is preliminary in nature and portrays how firms with different levels of TC cooperate within COs and how this cooperation translates into TC improvements. The findings add to the state-of-the-art knowledge on the link between TC and absorptive capacity of companies involved in COs by depicting the role of COs in providing knowledge and other cluster benefits that help cluster companies to accumulate TC and improve their absorptive capacity. Nevertheless, the applied methodology does not allow the authors to generalize the findings.

The coordinators of COs should skillfully shape the levels of cluster cooperation, matching them to the desired level of the cluster companies. They should create smaller subgroups composed of companies with similar TC, which may translate into its higher dynamic.

The knowledge about the role of COs in providing cluster benefits that help cluster companies to accumulate TC and improve their absorptive capacity is still insufficient. The study shed new light on the key role of the levels of cluster cooperation and the types of commitment related to them (i.e. technological effort), which may be a matter of importance in the dynamics of TC accumulation.

The purpose of this paper is to analyse relations between geographical and competence proximity and development of cooperation in cluster initiatives.

The research was based on an original theoretical concept referring to the trajectory of the development of cooperative relations in cluster initiatives. The research was carried out in mid-2017, in four purposefully selected cluster initiatives. The research sample was 132 cluster enterprises. The main research strategy involved non-experimental models; the basic method of data collection was an online questionnaire.

The results indicated that the role of geographical and competence proximity depends on the level of cooperation in a cluster initiative. In both these dimensions, proximity was important during the initial stage of cluster development: to start cooperation between the members, however, when more mature forms of cooperation were undertaken, the factor of common location was not so crucial any longer. It was also recommended to maintain some competence distance between the partners.

The main limitations referred to the static character of the data, the use of original measurement tools, which had not been tested before, the small and little differentiated research sample and the subjective nature of the research. The above-mentioned limitations should be viewed as a starting point for further empirical research.

Knowledge on the significance of geographical and competence proximity at various levels of cooperation in clusters is valuable for efficient management of a cluster and for higher competitiveness that it can achieve.

The research study contributes to the literature, which refers to the question of proximity in clusters through the analysis of relations between geographical and competence proximity and development of cooperation in cluster initiatives. The results of the research point out that the role of geographical and competence proximity evolves with the development of cooperation in cluster initiatives.

David Ellis is Professor in the Department of Information Studies at Aberystwyth University. He was previously lecturer and senior lecturer in the Department of Information Studies, University of Sheffield. He has a PhD and an MA in Information Studies from the University of Sheffield, and a BA in Philosophy and Politics from the University of Durham. His PhD study of the information behaviour of academic social scientists represented one of the first attempts to apply a rigorous qualitative methodology to modelling the information seeking patterns of social science researchers and was subsequently extended to studies of scientists in both academic and industrial research environments. These interests were further developed in the course of the uncertainty in information seeking project carried out in collaboration with researchers at the University of Sheffield and the University of North Texas. Professor Ellis has published extensively in the information studies field, his work has been recognised as representing a distinct, substantive and methodological contribution to the fields of information behaviour and information retrieval research, and is widely cited in both. His current research interests are in the areas of information behaviour, information and knowledge management and information systems. Professor Ellis's professional activities have included service on the UK Research Assessment Exercise, Peer Review Panel for Library and Information Management, and Research Convenor of the Arts and Humanities Research Council (AHRC) Peer Review Panel for Librarianship, Information and Museum Studies. He is a member of the AHRC and the Economics and Social Sciences Research Council (ESRC) Peer Review Colleges and Research Notes Editor of the International Journal of Information Management.

The purpose of this study is to explore to which extent data mining research would be associated with the library and information science (LIS) discipline. This study aims to identify data mining related subject terms and topics in representative LIS scholarly publications.

A large set of bibliographic records over 38,000 was collected from a scholarly database representing the fields of LIS and the data mining, respectively. A multitude of text mining techniques were applied to investigate prevailing subject terms and research topics, such as influential term analysis and Dirichlet multinomial regression topic modeling.

The findings of this study revealed the relationship between the LIS and data mining research domains. Various data mining method terms were observed in recent LIS publications, such as machine learning, artificial intelligence and neural networks. The topic modeling result identified prevailing data mining related research topics in LIS, such as machine learning, deep learning, big data and among others. In addition, this study investigated the trends of popular topics in LIS over time in the recent decade.

This investigation is one of a few studies that empirically investigated the relationships between the LIS and data mining research domains. Multiple text mining techniques were employed to delineate to which extent the two research domains would be associated with each other based on both at the term-level and topic-level analysis. Methodologically, the study identified influential terms in each domain using multiple feature selection indices. In addition, Dirichlet multinomial regression was applied to explore LIS topics in relation to data mining.

Library and information science (LIS) is an academic, intellectual and industrial field with a large international reach. LIS educates library and information professionals, and is an active field in research and practice with a tradition of research development, standards, networks and distribution worldwide. The field has in recent years experienced a significant growth and development in all parts of the world, however, the field's long-term future is at the same time being challenged by new technologies, education changes and the development of new industries. A refocusing from a library to an information focus is in development within the LIS field. However, the field of information is also being grasped by the technology fields on the one hand and the psychological/behavioural fields on the other. Unfortunately for the field of LIS, information is now everyone's problem and of greater interest to more scientific fields and in addition, industry and government are looking for information management solutions that require technological development based on the psychological quality research. How the LIS field survives over the next 20 years will be played out in educational and industry environments globally.

Purpose – The general aim of the chapter is to assess the impact of the Bologna Process (BP) on Library and Information Science (LIS) education in Europe, investigating the curriculum content, the different concepts and values of LIS institutions, the learning and teaching definition and the learning outcomes orientation, with student-centred learning considered the first objective to be achieved.

Design/methodology/approach – The past and recent debate inside European Association for Library and Information Education and Research (EUCLID), European Bureau of Library, Information and Documentation Associations (EBLIDA), International Federation Library Associations (IFLA) studies and conferences are used together with relevant literature to describe the ongoing debate.

Findings – The main problem of LIS education in Europe is that there are different concepts of LIS and that the internationalisation of LIS education lends itself to various interpretations. The quality criteria of the contents of the LIS curricula evidenced here are the research orientation and, in particular, the qualities (and competencies) that you expect graduates of the programme to possess. The first tenet of LIS education in a European course is that it should have a student-centred approach. Pedagogy should be based on a constructivist approach and students should be encouraged to engage in a research project of some kind, so that they are more critical consumers of research.

Research limitations/implications (if applicable) – In the discussions inside the EUCLID project European Curriculum Reflections (Kajberg & Lorring, 2005), there was no common understanding of the LIS professional role. It is suggested that further research is needed towards Europeisation of LIS curriculum.

Social implications (if applicable) – Possible benefits of the Bologna Process for quality enhancement of LIS education, which can also be described as problematic areas, are the stimulus of the politicians which push a constructive dialogue between stakeholders.

Originality/value – Ambiguities are not lacking for the learning outcomes approach as a whole. The paper tries to evidence what the learning outcomes subject to evaluation are, and hence how they can be measured.