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Innovation in technology is nothing new. However, a strong surge of inventions centered on digital apps and platforms has emerged over the past decade and has come to be associated with the tech sectors. The purpose of this research is to know whether deep-tech can be unlocked in startups for their long-term success.

Papers and websites that included the term deep-tech startups were considered for this study.

The authors have seen no explanation why India cannot develop several global deep-tech firms in the coming five years, similar to what China did in the previous 10 years, if Indian deep-tech entrepreneurs receive solid support from domestic industry giants, supportive regulatory changes and prompt access to finance. The authors think that the epidemic has made conditions for this to pick up speed that is highly favorable.

This research is limited to a few numbers of papers and websites.

Due to the unanticipated disruption, the pandemic caused, clever robotics and hands-free technology were urgently needed. The development of smart, self-monitoring, simple, tailored and potential on-the-go improvement solutions are the talk of the day. Deep-tech solutions have the ability to provide limitless benefits in a variety of fields to the world's 1.3 billion inhabitants.

This research will help startups to know more about deep-tech and implement them to be the first-mover advantage in this competitive and turbulent environment.

The novelty of this research is based on its presentation of an organized and thorough evaluation, which defines the current state of the art with regard to deep-tech startups. Not many studies have been performed in the area of deep-tech startups. In order to create a sustainable startup, a thorough study on how deep-tech can be unlocked in startups and its opportunities, challenges and funding is presented.

To critically analyse how Latin American migrant women entrepreneurs living in Ireland and the UK negotiate their entrepreneurial and motherhood identities in transnational settings. The paper explores (1) how motherhood influences the choices of becoming entrepreneurs; (2) how women reconcile the social imaginaries of motherhood from their country of origin in the new contexts of settlement; and (3) the impact of these transformations on their businesses.

This paper draws on six biographical case studies (three in Ireland and three in the UK) and employs the theoretical lens of translocational positionality to analyse entrepreneurship as context-specific and relational processes that bring together a multiplicity of social and geographical locales.

Latin American women entrepreneurs navigate their roles as “good mothers” and “good businesswomen” by simultaneously (1) complying with core values of marianismo that confine them to traditional gender roles and (2) renegotiating these values in ways that empower them through entrepreneurship. Finally, juxtaposing these two contexts (Ireland and the UK), this study (3) illuminates the similarities of the ever-continuing gender power struggles of egalitarianism for Latin American migrant women in both contexts.

Despite the agreed need for exploring motherhood as one of the critical aspects shaping family and business cycles, this area needs to be sufficiently analysed in its intersection with ethnicity or migratory status, particularly with participants from the global South. This article aims at bridging that gap.

Collaborative robotics and autonomous driving are fairly new disciplines, still with a long way to go to achieve goals, set by the research community, manufacturers and users. For technologies like collaborative robotics and autonomous driving, which focus on closing the gap between humans and machines, the physical, psychological and emotional needs of human individuals becoming increasingly important in order to ensure effective and safe human–machine interaction. The authors' goal was to conceptualize ways to combine experience from both fields and transfer artificial intelligence knowledge from one to another. By identifying transferable meta-knowledge, the authors will increase quality of artificial intelligence applications and raise safety and contextual awareness for users and environment in both fields.

First, the authors presented autonomous driving and collaborative robotics and autonomous driving and collaborative robotics' connection to artificial intelligence. The authors continued with advantages and challenges of both fields and identified potential topics for transferrable practices. Topics were divided into three time slots according to expected research timeline.

The identified research opportunities seem manageable in the presented timeline. The authors' expectation was that autonomous driving and collaborative robotics will start moving closer in the following years and even merging in some areas like driverless and humanless transport and logistics.

The authors' findings confirm the latest trends in autonomous driving and collaborative robotics and expand them into new research and collaboration opportunities for the next few years. The authors' research proposal focuses on those that should have the most positive impact to safety, complement, optimize and evolve human capabilities and increase productivity in line with social expectations. Transferring meta-knowledge between fields will increase progress and, in some cases, cut some shortcuts in achieving the aforementioned goals.