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This paper aims to refer to the knowledge transfer of entrepreneurial skills between digital incubators and nascent entrepreneurs. It questions the role of the context and of the richness of the ecosystems in which these women evolve, as defined by Welter and Baker (2021) on such an attempt.

This research is based on a qualitative study that refers to case studies of women nascent entrepreneurs who evolve into two different contexts – one rich zone and one deprived economic one of the French Parisian Region – and who integrated the same digital incubator.

Context does partly matter: besides the “Where”, the “Who” and, moreover, the level of education and previous entrepreneurial experience really matters, and only educated women, whatever the other components of context, seem to be capable to receive the “best” knowledge transfer from incubators. Second, incubators can be considered as to be a knowledge hub that allow knowledge transfer not only from trainers and coaches to women nascent entrepreneurs but also among women entrepreneurs. This paper concludes with a discussion on the role of digital training and coaching in such knowledge transfers.

Findings are limited to a specific place (the region of Paris). Therefore, women entrepreneurs evolve in more different contexts but the national entrepreneurial and institutional context remains the same. There should be need to explore the role of an incubator that evolves into more contrasted contexts.

If results can be generalized, this means incubators should differentiate their services, teaching and coaching expertize according to the education level of nascent entrepreneurs: This is a plaidoyer against institutionalized incubators that claim to be capable of targeting any nascent (women) entrepreneurs.

This study is also a plaidoyer for more digital incubator to mix persons from different contexts, especially to welcome persons from more deprived economic zones.

The research reveals the role of context – and, some components of the context – intro coaching and training that are provided by online incubators. It contributes to the literature on knowledge transfer that is brought about by incubators. It also contributes to the literature in entrepreneurship by showing that some components among the others that define what we call “the context” matter more than others.

This study aims to explore human–machine interactions in the process of adopting artificial intelligence (AI) based on the principles of Taylorism and digital Taylorism to validate these principles in postmodern management.

The topic has been investigated by means of a case study based on the current experience of Carrozzeria Basile, a body shop born in Turin in 1970.

The Carrozzeria Basile’s approach is rooted in scientific management concepts, and its digital evolution is aimed at centring humans, investigating human–machine interactions and how to take advantage of both of these.

The research contributes to both Taylorism management and the literature on human–machine interactions. A unique case study represents a first step in comprehending the phenomenon but could also represent a limit for the study.

Practical implications refer to the scientific path to facilitate the implementation and adoption of emerging technologies in the organisational process, including employee engagement and continuous employee training.

The research focuses on human–machine interactions in the process of adopting AI in the automation process. Its novelty also relies on the comprehension of the needed path to facilitate these interactions and stimulate a collaborative and positive approach. The study fills the literature gap investigating the interactions between humans and machines beginning with their historical roots, from Taylorism to digital Taylorism, in relation to an empirical scenario.

This work aims to explore the relationship between entrepreneurial ecosystems' (EEs) inputs and outcomes within a digital-technology-driven EE. Specifically, it focuses on how being part of an EE enhances digital technology adoption (DTA) and consequently facilitates EE outcomes.

This paper employs a single-case study approach, focusing on Italian EE. The data analysis is based on the researchers' direct observations and semi-structured interviews with the EE founders' teams and the top management of the small- and medium-sized enterprises (SMEs) operating therein. Given the novelty of the topic and the lack of a clear research framework of analysis, a qualitative method is well suited for studying digital-technology-driven EE, thus gaining rich data about the phenomenon in a real-life context.

The findings of the study reveal that when specific eco-inputs (financial, knowledge, social and institutional assets) are correctly exploited to enhance DTA, important outcomes, namely, SME competitiveness and new technology-based venture creation and development, are generated.

The paper contributes to a relatively unexplored topic in the existing literature on EEs and digital technology. Specifically, through the proposition of a conceptual model, it sheds light on the relationship among EE inputs, DTA and EE outcomes.