Linking complex problem solving to opportunity identification competence within the context of entrepreneurship

Today’s working life is increasingly characterized by entrepreneurial challenges. Entrepreneurial challenges start at an individual level with the identification of entrepreneurial opportunities, which is acknowledged as one of the key competencies for lifelong learning. Since the identification of entrepreneurial opportunities relies heavily on the opportunity identification competence (OIC) of individuals, understanding the meaning of OIC is relevant. Until now, OIC has been explored in the young entrepreneurship research field. However, entrepreneurship researchers until now have not fully explored OIC. According to several authors, the research on complex problem solving (CPS) in the cognitive research field might contribute to understanding OIC. In this paper, we review the link between OIC and CPS by comparing the cognitive and entrepreneurship research fields. We argue that those who excel in identifying opportunities share core characteristics with high-level complex problem-solvers. We propose to conduct empirical research in the future to investigate the relation between OIC and CPS within a work context in order to gain more insight into OIC. We believe that the cognitive research field contributes to the entrepreneurship research field and provides a deeper understanding of the initial steps of the entrepreneurial process.     

Clinician-Scientists in-and-between Research and Practice: How Social Identity Shapes Brokerage

Minerva - Clinician-scientists (CSs) are vital in connecting the worlds of research and practice. Yet, there is little empirical insight into how CSs perceive and act upon their in-and-between...     

University teachers’ learning paths during technological innovation in education

Curriculum development initiatives, especially those involving educational technologies, provide a rich learning space for university teachers. In-depth interviews with teaching staff (n = 11) were qualitatively analysed to gain insight into the variety of individual learning paths and to identify potential relationships between learning paths, motivation, and conceptions of teaching and learning through educational technology. Three distinct learning paths relating to teachers’ learning preferences and activities were identified: learning by performing daily teaching activities; deliberately experimenting with new teaching approaches; and reflecting on teaching experiences. The relationships between learning paths and relevant factors are described and implications for professional development practices are discussed.