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The purpose of this paper is to assess the effects of two types of trust (vertical and horizontal trust) on knowledge sharing (knowledge donating and knowledge collecting) and the impact of knowledge sharing on innovative work behavior (idea generation and idea realization). The study also explores the mediating role of knowledge sharing.

Partial least squares path modeling and data collected from 252 participants at one large Polish capital group were used to test the research hypotheses.

The results showed that both vertical trust and horizontal trust are positively related to knowledge donating and knowledge collecting. Contrary to knowledge collecting, knowledge donating is significantly related to idea generation, which is highly correlated with idea realization. There is no direct relation between knowledge sharing behavior and idea realization. Knowledge donating mediates the relationship between vertical trust and idea generation.

Self-reports and the cross-sectional nature of the data collection are the main limitations of this study.

The results allow managers to better understand what factors and processes contribute to greater employee innovativeness.

To the best of the author's knowledge, the study is the first to examine the relationships among vertical trust, horizontal trust, knowledge donating, knowledge collecting, idea generation and idea realization in an integrated way. This paper answered the questions (1) which type of trust is more important for knowledge sharing, and (2) which type of knowledge sharing behavior is more important for innovative work behavior. This paper investigated whether differences in the strength of relationships between constructs are significant.

Artificial intelligence (AI) reasoning is fuelled by high-quality, detailed behavioural data. These can usually be obtained by the biometrical sensors embedded in smart devices. The currently used data collecting approach, where data ownership and property rights are taken by the data scientists, designers of a device or a related application, delivers multiple ethical, sociological and governance concerns. In this paper, the author is opening a systemic examination of a data sharing concept in which data producers execute their data property rights.

Since data sharing concept delivers a substantially different alternative, it needs to be thoroughly examined from multiple perspectives, among them: the ethical, social and feasibility. At this stage, theoretical examination modes in the form of literature analysis and mental model development are being performed.

Data sharing concepts, framework, mechanisms and swift viability are examined. The author determined that data sharing could lead to virtuous data science by augmenting data producers' capacity to govern their data and regulators' capacity to interact in the process. Truly interdisciplinary research is proposed to follow up on this research.

Since the research proposal is theoretical, the proposal may not provide direct applicative value but is largely focussed on fuelling the research directions.

For the researchers, data sharing concepts will provide an alternative approach and help resolve multiple ethical considerations related to the internet of things (IoT) data collecting approach. For the practitioners in data science, it will provide numerous new challenges, such as distributed data storing, distributed data analysis and intelligent data sharing protocols.

Data sharing may post significant implications in research and development. Since ethical, legislative moral and trust-related issues are managed in the negotiation process, data can be shared freely, which in a practical sense expands the data pool for virtuous research in social sciences.

The paper opens new research directions of data sharing concepts and space for a new field of research.

The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as artificial intelligence. This paper analyses how DigComp 2.2 defines data literacy and how the framework looks at this from a societal lens.

This study critically examines DigComp 2.2, using the data literacy competence model developed by the Knowledge Centre for Digital and Media Literacy Flanders-Belgium. The examples of knowledge, skills and attitudes focussing on data literacy (n = 84) are coded and mapped onto the data literacy competence model, which differentiates between using data and understanding data.

Data literacy is well-covered in the framework, but there is a stronger emphasis on understanding data rather than using data, for example, collecting data is only coded once. Thematically, DigComp 2.2 primarily focusses on security and privacy (31 codes), with less attention given to the societal impact of data, such as environmental impact or data fairness.

Given the datafication of society, data literacy has become increasingly important. DigComp is widely used across different disciplines and now integrates data literacy as a required competence for citizens. It is, thus, relevant to analyse its views on data literacy and emerging technologies, as it will have a strong impact on education in Europe.

This study aims to investigate the impact of digital technologies for intangible assets management. The authors analyse how technological innovations and regulations of intellectual property affect business models of companies or intellectual property rights (IPR) intensive industries to determine the impact of digital transformation on intangible assets management, highlighting emerging issues and future effects of the digital technology revolution.

The authors use a case study method to answer our research questions. The authors use Soundreef SpA as our case study, a collecting company that develops technology for monitoring, collecting and maximising the earnings of songwriters and music publishers. The authors also elaborate and adopt the framework of the enhanced intellectual capital as the theoretical lens for presenting and analysing our case study, determining how the digital transformation caused business model innovation and more transparent and timely performance measurement in copyright-based companies.

The analysis of Soundreef SpA’s business model allows us to demonstrate how using new technologies drives the performance measurement of copyright holders and improve the collecting societies’ performance, introducing a new key performance indicator. This turning point is made possible by digital transformation and regulatory change. In the IPR industry, copyright holders’ performance has never been calculated, so the distribution of copyright revenues was based on the criteria approved by governance bodies/management.

In the study, the authors demonstrate that digital transformation is able to enhance the intellectual capital of IPR-intensive companies introducing new ways to manage intangible assets and to measure performance.

The benefits associated with visibility in organizations depend on employees' willingness to engage with technologies that utilize visible communication and make communication visible to others. Without the participation of workers, enterprise social media have limited value. This study develops a framework to assess what deters and drives employees' use of enterprise social media.

Data were collected from 753 employees of a global company using an online survey. The response rate was 24.5%. The authors used structural equation modeling to test the hypothesized framework.

The results show that various fears by workers may deter or motivate enterprise social media use. This offers an alternative viewpoint for examining the consequences of communication visibility in organizations. Specifically, the findings demonstrate that the fear of accountability and the fear of losing uniqueness reduce enterprise social media use through increased codification efforts. The fear of missing out is directly and positively related to collecting behaviors on enterprise social media.

Expectations about participation in visible organizational communication environments are rising. However, as individuals may experience anxiety in such settings, the authors need to direct more analytical focus to the ways individuals manage communication visibility in organizing contexts and develop a deeper understanding of the consequences of fear in workplace communication.

The analysis recognizes that fear can play a key role in deterring or motivating workers' specific choices in navigating the challenges that occur when technology can make communication broadly visible. This study uses theorizing on communication visibility to bring together different fear mechanisms to predict enterprise social media use.

South African public archives have not been able to transform into active documenters of society. As a result, they cannot carry out their mandate of collecting non-public records of lasting value and national significance and recording aspects of the country’s experience that have previously been ignored by archives repositories. This paper aims to discuss efforts by the Gauteng Provincial Archives to transform the archival landscape in South Africa by collecting sports memories. This is because, in democratic South Africa, the archival landscape was expected to change and reflect the nation’s diversity, despite the fact that it still largely reflected the Western-dominated global mainstream.

This study is based on the authors’ personal experiences with the development and operation of the Gauteng Provincial Archives. The authors are also involved in the Gauteng Provincial Archives’ oral history project, which aims to build an inclusive archive by recording oral histories of sports memories across the province.

The construction of the Gauteng Archives Repository has ushered in a chance to decolonise South African archives by collecting sports memories. These are windows of opportunity through which ordinary people can include their own experiences, filling in the gaps left by colonial and apartheid archives.

This paper offers practical experience in transforming and decolonising archives through collecting sports memories.

The unprecedented growth in the volume, variety and velocity with which data is generated and collected over the last decade has led to the spread of big data phenomenon. Organizations have become increasingly involved in the collection and analysis of big data to improve their performance. Whereas the focus thus far has mainly been on big data collected from customers, the topic of how to collect data also from those who are not yet customers has been overlooked. A growing means of interacting with non-customers is through crowd-based phenomena, which are therefore examined in this study as a way to further collect big data. Therefore, this study aims to demonstrate the importance of jointly considering these phenomena under the proposed framework.

This study seeks to demonstrate that organizations can collect big data from a crowd of customers and non-customers through crowd-based phenomena such as crowdsourcing, citizen science and crowdfunding. The conceptual analysis conducted in this study produced an integrated framework through which companies can improve their performance.

Grounded in the resource-based view, this paper argues that non-customers can constitute a valuable resource insofar as they can be an additional source of big data when participating in crowd-based phenomena. Companies can, in this way, further improve their performance.

This study advances scientific knowledge of big data and crowd-based phenomena by providing an overview of how they can be jointly applied to further benefit organizations. Moreover, the framework posited in this study is an endeavour to stimulate further analyses of these topics and provide initial suggestions on how organizations can jointly leverage crowd-based phenomena and big data.

This study aims to answer the question of how to structure a circular ecosystem for extractive fishing in the Amazon region. It explores possibilities for implementing a circular ecosystem management model in an imperfect market with low technological availability, high informality and limited public assistance.

Qualitative approach was adopted for this paper, with a case study on extractive fishing in the state of Amazonas. Data was collected through 35 interviews and direct observation of the processes of collecting, storing and transporting fish on two routes: Tapauá-Manaus and Manacapuru-Manaus.

Through the data collected, it was possible to observe the importance of an orchestrating agent – such as an association or even a public authority – for the establishment and development of a circular ecosystem for extractive fishing in the region.

The paper makes theoretical contributions by presenting how a circular ecosystem management model could be implemented for an imperfect market in the Global South, as well as contributing to the literature on how the circular economy contributes to mitigate the threat to biodiversity posed by the linear economy.

It contributes to the management practice of structuring circular ecosystems.

The role of public authorities and the collective organization of fishermen as orchestrators connecting the network of actors that develop the extractive fishing ecosystem is fundamental, guaranteeing effective social participation in solving local problems.

The idea of circular ecosystems was applied to imperfect contexts, with high informality, weak institutions and bioeconomy, topics still little explored in the literature.

Information practices become highly complex in biodiversity citizen science projects due to the projects’ large scale, distributed setting and vast inclusion of participants. This study aims to contribute to knowledge concerning what variations of information practices can be found in biodiversity citizen science and what these practices may mean for the overall collaborative biodiversity data production in such projects.

Fifteen semi-structured interviews were carried out with participants engaged with the Swedish biodiversity citizen science information system Artportalen. The empirical data were analysed through a practice-theoretical lens investigating information practices in general and variations of practices in particular.

The analysis shows that the nexus of biodiversity citizen science information practices consists of observing, identifying, reporting, collecting, curating and validating species as well as decision-making. Information practices vary depending on participants’ technical know-how; knowledge production and learning; and preservation motivations. The study also found that reporting tools and field guides are significant for the formation of information practices. Competition was found to provide data quantity and knowledge growth but may inflict data bias. Finally, a discrepancy between practices of validating and decision-making have been noted, which could be mitigated by involving intermediary participants for mutual understandings of data.

The study places an empirically grounded information practice-theoretical perspective on citizen science participation, extending previous research seeking to model participant activities. Furthermore, the study nuances previous practice-oriented perspectives on citizen science by emphasising variations of practices.

Certain researchers have expressed concerns about inequitable discipline representations in an integrated STEM/STEAM (science, technology, engineering, arts and mathematics) unit that may limit what students gain in terms of depth of knowledge and understanding. To address this concern, the authors investigate the stages of integrated teaching units to explore the ways in which STEAM programs can provide students with a deeper learning experience in mathematics. This paper addresses the following question: what learning stages promote a deeper understanding and more meaningful learning experience of mathematics in the context of STEAM education?

The authors carried out a qualitative case study and collected the following data: interviews, lesson observations and analyses of curriculum documents. The authors took a sample of four different STEAM programs in Ontario, Canada: two at nonprofit organizations and two at in-school research sites.

The findings contribute to a curriculum and instructional model which ensures that mathematics curriculum expectations are more explicit and targeted, in both the learning expectations and assessment criteria, and essential to the STEAM learning tasks. The findings have implications for planning and teaching STEAM programs.

The authors derived four stages of the STEAM Maker unit or lesson from the analysis of data collected from the four sites, which the authors present in this paper. These four stages offer a model for a more robust integrated curriculum focusing on a deeper understanding of mathematics curriculum content.