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This study aims to explore how knowledge management (KM) influences the intellectual capital (IC) of organizations operating in health care and how IC and knowledge-sharing (KS) can contribute to the achievement of sustainable development in health systems. Notably, this study focuses on telemedicine, investigating how relational capital contributes to KS in the context of remote care services.

To comply with the paper’s aim, the authors use a qualitative research method based on a polar case study suitable for IC in health-care studies. More precisely, this study analyzes a nonprofit organization that, for over 15 years, has offered a free multispecialist teleconsultation service to answer medical questions from the most disadvantaged places in the world.

The findings show that the KM significantly contributes to the IC of organizations. Indeed, it improves the data management and transmission system, it increases performance flexibility in times of resource scarcity without compromising business objectives and it can attract new human resources even when not motivated by selfish goals (volunteer physicians).

This research contributes to studies on IC in health care by focusing on the contribution of telemedicine to the creation of IC. In particular, this work emphasizes the ability of telemedicine to develop and share knowledge in disadvantaged areas of the world. Moreover, in the current context, still strongly permeated by the health emergency generated by the pandemic and recently by the war in Eastern Europe, the importance of such assistance and diagnosis grows.

The conclusions the research findings lead may guide policymakers toward a policy supporting telemedicine. It would alleviate general health-care costs and completely revolutionize light health care’s role. Moreover, reducing socioeconomic distances, improving access to care and applying innovative technologies for sharing outcomes foster balanced socioeconomic development and knowledge dissemination.

This research has shown how telemedicine represents a new successful business model even in times of crisis. The organizational model makes it possible to offer cutting-edge specialized care, contain costs, easily reach disadvantaged areas of the planet, strengthen the skills and autonomy of the most backward countries through a process of KS and push the structures operating there to interact with those in advanced countries.

The Covid-19 pandemic has exacerbated social risks around the world, highlighting inequalities and eroding social cohesion in and between nations. The challenges posed by this global crisis to world governments can be overcome with cooperation between the public and private sectors. Several studies support the importance of external corporate social responsibility (CSR) activities in sharing knowledge with citizens and external stakeholders, with benefits for the company and for society. Few studies have investigated the relationship between knowledge management (KM) and sustainability. This work aims to investigate the influence of the gender variable in the sharing of CSR knowledge, focusing on the area of human rights.

The panel regression analysis was performed on a sample of 660 European companies listed over the years 2017–2020. The hypotheses tested in panel regression were then corroborated by a further test.

The results show a positive influence of women directors in the external disclosure of human rights. Evidence would assign a positive role to gender in sharing knowledge.

The findings offer new insights into the role of gender on KM and sharing. The results show that gender can be a factor that stimulates CSR knowledge. The presence of women directors can be a useful tool to increase the relational capital of the companies and to share knowledge outside the company.

The study contributes to the poor literature between knowledge sharing and sustainability. Evidence would assign a positive role to gender in sharing knowledge.

This paper aims to analyse the role of business plan development as a knowledge translation tool, especially for the creation of start-ups. In a complex knowledge ecosystem populated by multiple diverse and autonomous actors (such as potential entrepreneurs, local companies, local public entities and business consultants) bonded together by a joint search for valuable knowledge, business plan development can work as a powerful enabler for the translation of knowledge.

The study uses a qualitative multi-case study approach by examining the results of a public programme devoted to the creation of new entrepreneurial ventures. The authors analysed 418 complete business plans and followed up with all the participants with an interview. In total, 40 cases were investigated more in detail.

Results show how business plan development can function as a bridge between academic, theoretical and general knowledge on start-up creation on the one hand and practical contextualised activities of potential entrepreneurs on the other.

The process of knowledge translation is crucial to ensure that relevant knowledge coming from both the inside (the entrepreneur) and outside (the stakeholders) of the organisation is effectively applied. To facilitate the translation process, key knowledge users should be supported in contextualising and making sense of the research knowledge. Initiatives carried out by local entities and other actors, gathering several stakeholders to develop business plans, can become valuable opportunities to facilitate the translation process for start-up development.

The paper contributes to knowledge management and knowledge translation literature by demonstrating the role of business plan development as an effective knowledge translation enabler. It also adds to the understanding of innovation management and entrepreneurial education by proving the relevance of the translation of knowledge for the creation of new business ventures.

This paper aims to verify which intangible assets attributable to intellectual capital (IC) influence the anti-cyclical nature and the resilience of social enterprises (SEs) during systemic crises and whether these factors take on particular connotations in female-run SEs.

A qualitative methodology based on multiple case studies is used to answer the research questions. A set of SEs operating in the catering sector is analyzed. The analysis is carried out by in-depth interviews with male and female managers of SEs to understand which resilience IC factors were most activated during full emergency and recovery stages.

The results confirm the anti-cyclical nature of SEs and their resilience to systemic crises. No distinct differences emerge between female and male SEs. Concerning the IC, relational capital (RC) is the most relevant intangible asset for small and medium-sized SEs. Internal and external relations support them during the crisis and the consolidation of trusted ties, formal and informal, external and internal, favor the Recovery. The RC is a crucial resource even in bigger SEs, but some differences are detected concerning the smaller ones. In the smaller SEs, informal relations prevail, while formal relations prevail in the larger ones, particularly with institutions. Furthermore, the RC is the sole or primary resource in the smaller SEs, while the bigger SEs can count on more varied intangible resources.

This study offers an original contribution to studies on IC by focusing on the factors little analyzed by existing studies: (1) SE management, (2) the contribution of IC to the resilience of non-profit-oriented enterprises and (3) the search for elements of differentiation between SEs with male and female leadership.

Artificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda.

A structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework.

Findings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under-investigated and deserves more attention from scholars and practitioners.

The paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.