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This paper explores the application of blockchain technology in the public cultural sector, where adoption remains limited despite its potential. The study identifies major use case scenarios and empirical examples of blockchain adoption in public sector cultural services through a scoping literature review.

A scoping literature review was conducted to map research and conceptual approaches to blockchain technology in the public cultural sector, focusing on key use cases emerging and empirical examples.

The review reveals that while blockchain has the potential to enhance public cultural services, its adoption is still in its early stages. Identified use cases include tokenization of cultural assets, digital rights management and decentralized funding models. Empirical examples in the public cultural sector are sparse, and the impact of the technology remains largely theoretical.

The study is limited by the scarcity of empirical data on blockchain adoption in public cultural services. Future research should focus on in-depth case studies and empirical analyses to understand the practical implications of blockchain in this sector.

Public sector organizations offering cultural services may use these insights to guide blockchain adoption and implementation decisions.

Blockchain adoption in public cultural services has the potential to democratize access, enhance transparency and foster community engagement, contributing to a more inclusive and participatory cultural ecosystem.

This paper contributes to the emerging discourse on blockchain in the public sector, focusing on the often-overlooked cultural services. It highlights the benefits and challenges of blockchain adoption in this sector, providing insights for future research and policy decisions.

This study aimed to assess the potential of the Clinical Dementia Rating (CDR) Scale in the prognosis of dementia in elderly subjects.

Dementia staging severity is clinically an essential task, so the authors used machine learning (ML) on the magnetic resonance imaging (MRI) features to locate and study the impact of various MR readings onto the classification of demented and nondemented patients. The authors used cross-sectional MRI data in this study. The designed ML approach established the role of CDR in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value of p < 0.01. The authors employed 20 ML classifiers.

The mean prediction accuracy varied with the various ML classifier used, with the bagging classifier (random forest as a base estimator) achieving the highest (93.67%). A series of ML analyses demonstrated that the model including the CDR score had better prediction accuracy and other related performance metrics.

The results suggest that the CDR score, a simple clinical measure, can be used in real community settings. It can be used to predict dementia progression with ML modeling.

In the past decade, intellectual capital (IC) measurement and reporting have been feeding scientific debate; however, only few studies address these issues together. The present research aims to provide an integrated view of the topics covered by the existing literature and to highlight the emerging research trends and set the agenda for future research.

This study develops a structured literature review (SLR) of the extant research concerned with IC measurement and reporting, using a comprehensive sample of 1,021 articles extracted from the Scopus database.

The findings of the SLR show that the existing literature focuses on seven research areas: IC and public sector; IC university and education; IC evaluation method; internal and external IC disclosure; IC and CSR; management of IC in organizations; other. Overall, findings indicate that IC measurement and reporting are highly researched topics that continue to attract the interests of scholars. Finally, the SLR analysis has allowed outlining a future research agenda, with particular reference to the IC evaluation method and internal and external IC disclosure research areas.

The main limitation of this research lies in the manual screening of relevant studies, which entails some degree of subjectivity. Furthermore, another limitation research could be considered the use of a single database (Scopus).

The present study brings potential contributions for scholars and practitioners. From a scholarly perspective, the paper provides a systematization of scientific contributions that have dealt with IC measurement and reporting. In particular, it contributes to the scholarly debate bringing into focus various IC measurement and reporting issues in the landscape of private and public organizations. Referring to practical implications, our research supports the strategic use of IC measurement and reporting as a key lever for improving the management of firms. Using an analytical framework that combines insights from the agency, stakeholder and legitimacy theories, this study highlights that IC reporting activity should be used strategically as a means to engage with all firm's stakeholders, in particular with a view to reducing information asymmetry and improving firm reputation.

This conceptual paper proposes an intellectual capital (IC) framework dedicated to elite athletes (EA) to demonstrate the usefulness of IC on individual persons. Thus, it connects EA with the concept of IC.

The paper is inspired by the classical IC dimensions (human capital, structural capital and relational capital), which are used to develop the IC framework for EA. An exemplary case study is used to validate the framework.

It is argued that there is a need to adapt the traditional IC framework for EA. Therefore, this paper proposes a specific IC framework consisting of natural capital, sports capital and media capital.

This paper deals with EA and the sports industry, but should be extended to other sectors where aspects such as image and celebrity represent significant intangible resources.

The proposed IC framework can help EA and their managers to better understand how IC value is created.

This paper extends the IC concept to other fields of application, i.e. EA, and thus individual persons.