Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We link dispersed knowledge on Open Innovation, Open Science, and related concepts such as Responsible Research and Innovation by proposing a unifying Open Innovation in Science (OIS) Research Framework. This framework captures the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation. Moreover, it elucidates individual-, team-, organisation-, field-, and society-level factors shaping OIS practices. To conceptualise the framework, we employed a collaborative approach involving 47 scholars from multiple disciplines, highlighting both tensions and commonalities between existing approaches. The OIS Research Framework thus serves as a basis for future research, informs policy discussions, and provides guidance to scientists and practitioners.

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SignificanceThe emerging field of gamified citizen science continually probes the fault line between human and artificial intelligence. A better understanding of citizen scientists’ search strategies may lead to cognitive insights and provide inspiration for algorithmic improvements. Our project remotely engages both the general public and experts in the real-time optimization of an experimental laboratory setting. In this citizen science project the game and data acquisition are designed as a social science experiment aimed at extracting the collective search behavior of the players. A further understanding of these human skills will be a crucial challenge in the coming years, as hybrid intelligence solutions are pursued in corporate and research environments.

Purpose -The purpose of this paper is to examine how the spanning of inter-organizational weak ties and technological boundaries influences knowledge brokering. Design/methodology/approach -The paper is based on original fieldwork and employs a case study research design, investigating a Danish HTSF's inter-organizational activities. Findings -The findings show how an inter-organizational search that crosses technological boundaries and is based on a network structure of weak ties can imply a reduced risk of unwanted knowledge spill-over. Research limitations/implications -By not engaging in strong tie collaborations a knowledge brokering organization can reduce the risk of unwanted knowledge spill-over. The risks and opportunities of knowledge spill-over furthermore rely on the nature of the technology involved and to what extent technological boundaries are crossed. Practical implications -An organization that can span both technological boundaries and weak ties is in a unique knowledge brokering position. The findings indicate how the barriers of an open transfer of complex knowledge across weak ties can be partially overcome by letting an R&D department be the networking department. Originality/value -Very little research has examined the organizational processes at stake when spanning organizational, technological and network boundaries.

In two studies, we investigate whether the link between entrepreneurial self-efficacy and entrepreneurial intentions depends on outcome expectations. In Study 1, we exploit the COVID-19-induced lockdown as a natural experiment in a two-wave student sample. We compare the efficacy–intention link in survey responses submitted right before and right after the lockdown. In Study 2, we conceptually replicate and extend the findings via an online vignette experiment. Together, these studies show that a disruption of stable institutionalized outcome expectations implying increasing risk and uncertainty makes self-efficacy a weaker predictor of entrepreneurial intentions, particularly among those with pessimistic perceptions.