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The purpose of this paper is to explore the connection between hybridity and social innovation as engendered in a work integration social enterprise (SE).

The research takes an abductive approach to a single in-depth case study of a Norwegian SE. The analysis is based on semi-structured interviews and is supported by observations via a site visit and document sources.

This in-depth study uncovers key underlying mechanisms of how hybridity in SE plays roles in enabling and stimulating social innovation. It reveals a two-tier distinction of hybridity as catalyst and facilitator. This has important implications for policies integrating SEs and for public authorities aiming to stimulate social innovation.

The contextual quality of social innovation and the configuration of hybridity are in part borne from the context’s institutional structures and opportunity streams, which could limit the generalisability of the findings.

This paper contributes to the under-researched stream of SE studies focusing on social innovation. It makes explicit the connection between SE hybridity and social innovation, thereby advancing insights into their dynamics. In addition, it extends the author’s understanding of social innovation by revealing a catalytic dimension of the concept as engendered by SE. Lastly, the study makes an empirical and regional contribution to the scant SE research in Norway.

The primary aim of this study is to identify and analyze the key digital transformation areas and determine their impact on technological unemployment in the textile sector. In addition, this study explores whether digital transformation contributes to neo-Luddism or Robot Breaking.

The advent of digital transformation has raised significant concerns, particularly concerning technological unemployment. This study focuses on conducting an analytical hierarchical process (AHP) analysis to determine the impact of different disciplines within digital transformation on technological unemployment. The investigation specifically delves into the ongoing transition to Industry 4.0 within the textile industry. This study uses a mixed-method approach, consisting of a literature review, bibliometric analysis, eight expert phenomenological interviews, and AHP.

This study revealed that artificial intelligence, machine learning and deep learning are the most crucial disciplines that will affect the concept of neo-Luddism. The fact that technological unemployment in the textile sector is examined with AHP Analysis makes this study unique.

This study contributes to Industry 4.0 literature by examining the nexus of technological unemployment in textile manufacturing and the emergence of neo-Luddism.

Policies intended to encourage gender equity in the film industry are ramifying and take many forms. This paper uses social network analysis to assess the effectiveness of one popular equity policy, shadowing, a form of mentoring. In shadowing programs, women and gender minorities (WGM) are connected to more experienced members of the industry through attachment to their productions.

We constructed real collaboration networks based on film releases from 2005 to 2020 in three countries and simulated the effects that hypothetical shadowing interventions would have on the distribution of social capital in these networks. We implement different versions of the intervention, including different eligibility criteria for shadows and shadowees as well as isolating the additive effects on participants’ project portfolios.

We find that shadowing is effective in enabling WGM to access the strongest network positions, which are currently disproportionately occupied by men. However, we show that the primary reason that shadowing is effective in doing this is because it provides a second project affiliation to WGM in an industry where it is difficult to get past one’s first project.

Our study contributes to the literature on how mentoring policies affect people’s professional networks as well as scholarship on mentoring as a gender equity policy. We contribute novel evidence to debates about the efficacy of shadowing programs for WGM in the film industry. We suggest that shadowing can be effective as a tool for not only helping individual WGM advance their careers but also for structurally reconfiguring the distribution of power in project-based collaboration networks.