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The purpose of this paper is to examine how entrepreneurship culture affects start-up and venture capital co-evolution during the early evolution of an entrepreneurial ecosystem (EE) and its ability to foster the emergence of ambitious entrepreneurship as an outcome of its activity. Unlike studies that capture entrepreneurship culture at the national level, this study focusses specifically on the culture of venture capital-financed entrepreneurship and understanding its implications to the development of venture capital markets and successful firm-level outcomes within ecosystems.

Relying on EE and organisational imprinting theory, this study specifies characteristics of venture capital-financed entrepreneurship of Silicon Valley to illustrate the American way of building start-ups and examine whether they have as imprints affected to the entrepreneurship culture and start-up and venture capital co-evolution in Finland during the early evolution of its EE between 1980 and 1997.

The results illustrate venture capital-financed entrepreneurship culture as a specific example of entrepreneurship culture beneath the national level that can vary across geographies like the findings concerning Finland demonstrate. The findings show that this specific culture matters through having an impact on the structural evolution and performance of EEs and on the ways how they deliver or fail to deliver benefits to entrepreneurs.

The results show that venture capital-financed entrepreneurship and the emergence of success stories as outcomes of start-up and venture capital co-evolution within an EE are connected to a specific type of entrepreneurship culture. This paper also contributes to the literature by connecting the fundamentals of organisational imprinting to EE research.

This paper aims to explore the potential explanatory mechanisms linking leader–member exchange (LMX) and a perceived supportive environment for corporate entrepreneurship. Specifically, this paper develops and tests a hypothesized moderated mediation model of the relationship between LMX and a perceived supportive environment for corporate entrepreneurship through psychological empowerment as conditional upon the level of control orientation.

Data were collected from a sample of 682 full-time working adults in the USA and were examined in a moderated mediation model in PROCESS.

The findings suggest that higher LMX augments perceptions of a supportive environment for corporate entrepreneurship with a mediating role for psychological empowerment and a moderating role for control orientation on that conditional relationship.

This research suggests that high quality LMX relationships may enrich the human capital of firms, helping them to innovate and outperform competitors in the context of modern competitive dynamics. The study findings are limited by several factors including a cross-sectional design and a student-recruited sampling approach.

The study offers unique contributions to the leadership and entrepreneurship literature by being among the first to empirically investigate the relationship between LMX and a perceived supportive environment for corporate entrepreneurship as mediated by psychological empowerment and moderated by control orientation, yielding important insights regarding effective leadership practices for facilitating innovative behaviors and corporate entrepreneurship.

The implementation of mobile health (mHealth) in developing countries seems to be stuck in a pattern of successive pilot studies that struggle for mainstream implementation. This study addresses the research question: what existing health-related structures, properties and practices are presented by rural areas of developing countries that might inhibit the implementation of mHealth initiatives?

This study was conducted using a socio-material approach, based on an exploratory case study in West Africa. Interviews and participant observation were used to gather data. A thematic analysis identified important social and material agencies, practices and imbrications which may limit the effectiveness of mHealth apps in the region.

Findings show that, while urban healthcare is highly structured, best practice-led, rural healthcare relies on peer-based knowledge sharing, and community support. This has implications for the enacted materiality of mobile technologies. While urban actors see mHealth as a tool for automation and the enforcement of responsible healthcare best practice, rural actors see mHealth as a tool for greater interconnectivity and independent, decentralised care.

This study has two significant limitations. First, the study focussed on a region where technology-enabled guideline-driven treatment is the main mHealth concern. Second, consistent with the exploratory nature of this study, the qualitative methodology and the single-case design, the study makes no claim to statistical generalisability.

To the authors' knowledge, this is the first study to adopt a socio-material view that considers existing structures and practices that may influence the widespread adoption and assimilation of a new mHealth app. This helps identify contextual challenges that are limiting the potential of mHealth to improve outcomes in rural areas of developing countries.

This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship.

The authors used a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase data sets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship.

Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity.

The results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship.

Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements.

Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels.

Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, as it allows to identify priority areas for resource allocation.