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The purpose of this paper is to test the effect of internal and external collaboration on the degree of newness (incremental/radical) in innovation projects. This adds to the understanding of the particular patterns of open innovation (OI) and what characterizes the innovation emerging through this approach.

Tests are performed on the effect of internal and external collaboration on the degree of newness (incremental/radical) in innovation projects. This adds to the understanding of the particular patterns of OI and what characterizes the innovation emerging through this approach. The empirical analysis is based on a data set including responses from 512 Danish engineers.

The results show that external collaboration has significantly different effects on the degree of newness depending on the type of external partners involved, and they also show that radical innovation output is positively related to involving the R&D department (internal) and universities (external involvement) and negatively related to involving suppliers.

The results provide a more detailed understanding of how different OI patterns affect the development of incremental vs radical innovation in existing organizations. In particular, three findings add new insights into how OI affects innovation to reach the highest degree of newness: high importance of collaboration with external partners with distinct interests and skills; low reliance on existing customers and suppliers for the development of radical innovation; and narrow and focused internal involvement rather than broad internal involvement.

The purpose of this paper is to determine how companies develop and acquire competences to capture the benefits of Industry 4.0 (I4.0) technologies. The authors argue that this is a fundamental and often overlooked prerequisite for industrial transformation.

The authors conduct a process study of 33 small- and medium-sized companies engaged in the transformation of a manufacturing industry from the different perspectives of manufacturers or manufacturing solution providers.

Key findings indicate a strong link between the specific competence development approach, the specific intricacies of the application domain and the process outcomes. On this basis, a competence development framework is proposed.

The conclusions are drawn from a Danish population of companies in the manufacturing industry and are based on particular contingencies, such as low volume/high mix, high skill, low tech and high cost. However, the findings are believed to be applicable across different sets of contingencies where the need to combine legacy and emerging technologies is present, and where the human factor is central to leveraging technology beyond predefined supplier specifications.

In a time of extraordinary investments in the manufacturing of technologies in support of digital transformation, the development of strategic and operational competences to support these investments is lagging behind. This paper develops a conceptual outset for closing this gap.

The research is based on the fundamental argument that to efficiently apply new technology, a strategic approach to the acquisition of new knowledge and skills is required. The empirical research demonstrates that new skills and knowledge are often assumed to follow automatically from the use of new technologies. However, we demonstrate that this perspective in fact limits the ability to capture the potential benefits ascribed to I4.0 technologies. The authors propose that the competence strategy needs to be expansive and cover not only the technological competences but also the organizational- and individual-level competences. These results add to our understanding of how the digital transformation of manufacturing companies unfolds.

The introduction of robots as value-adding “workers” on the shop floor triggers complex changes to manufacturing work. Such changes involve highly entangled relationships between technology, organisation and people. Understanding such entanglements requires a holistic assessment of contemporary robotised manufacturing work, to anticipate the dynamically emerging opportunities and risks of robotised work.

A systematic literature review of 87 papers was conducted to capture relevant themes of change in robotised manufacturing work. The literature was analysed using a thematic analysis approach, with Checkland’s soft systems thinking as an analytical framework.

Based on the literature analysis, the authors present a systemic conceptualisation of robotised manufacturing work. Specifically, the conceptualisation highlights four entangled themes of change: work, organisation of labour, workers’ (experiences) and the firm’s environment. Moreover, the authors discuss the complex patterns of interactions between these objects as relationships that defy straightforward cause–effect models.

The findings draw attention to complex interactions between robotisation and manufacturing work. It can, therefore, inform strategic decisions and support projects for robotisation from a holistic perspective.

The authors present a novel approach to studying and designing robotised manufacturing work as a conceptual system. In particular, the paper shifts the focus towards crucial properties of the system, which are subject to complex changes alongside the introduction of robot technology in manufacturing. Soft systems thinking enables new research avenues to explain complex phenomena at the intersection of robotisation and manufacturing work.

Exoskeletons are moving into industries with the potential to reduce muscle strains and prevent occupational injuries. Although exoskeletons have been designed and tested in laboratory settings, rare empirical studies of their application in construction have been reported. Therefore, the purpose of this study is on in a real-life setting testing the applicability of adopting exoskeletons in the construction industry.

A feasibility study of exoskeletons in construction is conducted by testing a passive exoskeleton, designed for shoulder support. Five bricklayers tested in a two-month period the exoskeleton, each wearing it for a three-day period while carrying out normal work activities. Test data in terms of interviews were collected and analyzed using qualitative content analysis.

The application of exoskeletons in construction revealed several limitations, where the two primary ones are the exoskeleton is not designed while considering the tasks of a bricklayer causing several challenges and the exoskeleton only supports a single upward motion while limiting other movements and even counteracted when a downward movement was necessary.

The identified challenges could easily have been revealed by coupling the design and testing of exoskeletons to actual application. Thus, the design approach needs to be reversed. Instead of designing an exoskeleton to support a specific body part or motion and then identifying where it is applicable, it should target specific industries and focus on the actual work and movements and the necessary support. As part of the change, the design metrics should be reevaluated to reflect the work to support.

In this paper we rethink the conventional ways of explaining the change process of new company formation. We base our analysis on two well established and dominating categories of entrepreneurship models, stages inspired models and interactive contingency models, and we argue that these do not sufficiently conspire to capture the entrepreneurial start‐up process as an everyday phenomenon of multi‐dimensional individual, social, and environmental interaction. In an effort to address this hypothesized theoretical gap, we apply ideas origination from Symbolic Interactionism to suggest a complementary conceptual model for comprehending the entrepreneurial process as an interactive construct. From here the idea of entrepreneurship as an ongoing “Social Journey of Opportunity Construction” arises. We argue that this idea has a potential impact on the practice of research, since it encourages scholars to step out of predictable zones of positivist research and enter a riskier research zone in which it is everyday interaction that makes the entrepreneurial process emerge.

User‐driven innovation (UDI) has been proven to successfully increase the value of products and services in single companies with direct linkages to the end‐user. The construction material industry often has no direct linkages to the end‐user, due to supply networks through builder merchants. Moreover, a lack of user knowledge is common in such networks, and companies rarely have explicit knowledge on how their products and services are in fact used and valued by their end‐users. Thus, it is clear that UDI is not directly applicable to the construction material industry without further developments. Hence, the purpose of this paper is to demonstrate that a network perspective is essential when adapting and implementing UDI in the construction material industry and to let the advantages of doing so surface.

The research design includes a number of different approaches and types of interaction between the researchers and industry. Additionally, an extensive literature review on UDI is carried out to identify variables necessary for successful adaptation to a network perspective.

The conclusion of this research validates that a network approach to adapting UDI in the construction material industry is a precondition for a successful innovation journey. In addition, it was concluded that by adapting the network perspective new value‐adding potentials became visible, which could have a huge impact on innovation, effectiveness, efficiency, etc. in the construction material industry.

The paper adds to the body of knowledge on how to implement UDI in a supply network by developing a framework for such an innovation process. The framework has its outset in any given generic new product development model with a logical sequence of steps. However, the framework is further developed into defining the networks activities, the internal activities, and the user‐oriented activities needed.

Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance.

The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance.

Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations.

The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles.

The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.