Entrepreneurship education can increase student’s entrepreneurial skills and intention; and entrepreneurship activities stimulate economic growth. Therefore, the number of entrepreneurship courses is increasing, but they are often offered to students from a specific field of study and/or to only one educational level, even though multidisciplinarity is important for entrepreneurship. This study has carried out an exploratory single case study on an entrepreneurial programme in a multidisciplinary environment, that is, the Contamination Lab of Turin (CLabTo). Moreover, pre- and post-surveys have also been conducted in order to perform some qualitative analyses. The results show the importance of creating teams with different competencies, cognitive and decision-making skills. Moreover, we explain how design-thinking is useful in entrepreneurship education and that a challenge-based entrepreneurship course leads to cooperation with external actors in the local entrepreneurial ecosystem. It is also explained what the obstacles and opportunities of these programmes are and how to improve them. Moreover, on the basis of pre- and post-surveys, our qualitative analyses show that the students’ overall perception of their abilities to work in a multidisciplinary team, their entrepreneurial skills and entrepreneurial intentions increased slightly. In short, this work is aimed at increasing the importance of entrepreneurship education in a multidisciplinary environment and the use of practical-oriented teaching models.

Research on big data has highlighted that a crucial element to create value from data is the capability of aligning different stakeholders’ interests. However, it has not yet been investigated empirically how this process of alignment can be realized. We conduct a multiple case study on the two leading platforms involved in the online dissemination of cultural heritage – Europeana and Google Arts & Culture. Our findings reveal that a platform overtakes a rival one when it turns on multiple drivers of value creation in such a way that the drivers contribute to realigning the interests expressed by the stakeholders whose strategic objectives and beliefs were formerly divergent – or simply unrelated – to each other. This capability of realigning different stakeholders’ interests is independent of the level of industry-specific knowledge that the platform orchestrator has. The dynamics we document imply that Google has assumed a system integration role in the cultural ecosystem. This generates new trade-offs for museums in the way they generate value for the tourism industry. The paper enriches our understanding of what strategies digital platforms adopt to create value in big data contexts and provides a base to continue the investigation on other ecosystems driven by big data.

Research Summary: This article runs a large‐scale replication of Camuffo and colleagues in 2020, involving 759 firms in four randomized control trials. The larger sample generates novel and more precise insights about the teachability and implications of a scientific approach in entrepreneurship. We observe a positive impact on idea termination and results that are consistent with a nonlinear effect on radical pivots, with treated firms running few over no or repeated pivots. We provide a theoretical interpretation of the empirical results: the scientific approach enhances entrepreneurs' efficiency in searching for viable ideas and raises their methodic doubt because, like scientists, they realize that there may be alternative scenarios from the ones that they theorize. Managerial Summary: The findings of this article, based on four randomized control trials involving 759 firms, offer new insights into how entrepreneurial practices can benefit from a scientific approach to decision‐making. Key outcomes include an increase in the termination of ideas and a nuanced influence on the tendency to make strategy changes. Specifically, firms that adopted a scientific approach made a few strategic shifts, as opposed to either not changing or constantly changing their strategy. We suggest that this is due to the scientific approach helping entrepreneurs be more efficient when searching for valuable ideas, as well as being more careful in selecting those ideas.

Purpose: This paper aims to investigate the effect of specific subsets of digital technologies and governance mechanisms (i.e. relational and contractual) on the efficiency of the automotive supply chain (SC).Design/methodology/approach: Building on the Transaction Costs Economic (TCE) theory, and on the literatures on the governance and Digital Transformation of SCs, the research employs a multi-respondent survey on a sample of 101 Italian automotive suppliers. It analyses the interplay between investments in network and physical–digital interface technologies and buyer–supplier relationship governance models in a joint product development effort. The related effects on costs, from the automotive suppliers' perspective, are considered.Findings: The results confirm the TCE assumptions on governance mechanisms being appropriate to enhance cost performance, but in particular show that digital technologies shape the governance of buyer–supplier relationships with different patterns. The features of synchronisation and accessibility, as ensured by network technologies, are found to strengthen the impact of contractual governance, while the adoption of physical–digital interface technologies, and their enhanced features of virtualisation and traceability, further enhance the impact of relational governance on the efficiency improvements of suppliers.Practical implications: SC actors need to recognise the importance of long-term collaboration and superior coordination through investments in specific subsets of digital technologies, to ensure a higher product and production data codifiability, transparency and thus integration at both an intra- and an inter-firm level.Originality/value: This study is one of the first to have considered Digital Transformation in SCs from the suppliers' perspective and its implications on the efficiency of relationship governance with buyers.

Purpose: Entrepreneurship Education (EE) is increasing throughout the world. In 2012, the Italian Ministry of Education, University and Research (MIUR) financed Contamination Labs (CLabs), which are laboratories that are aimed at developing entrepreneurial mindsets in all university students. This study analyses the entrepreneurial learning process mechanisms adopted in these CLabs.Design/methodology/approach: An ethnographic case study was performed in two Italian CLabs from October 2017 to December 2019.Findings: Findings demonstrate that the CLabs in Italy are promising Entrepreneurship Education Centres which create programmes to develop an entrepreneurial mindset in students with different educational backgrounds and levels. Interdisciplinarity in the composition of the student teams, virtuous contamination of knowledge and experience between the students and the stakeholders from the entrepreneurial ecosystem are the key pillars to foster an entrepreneurial mindset in all the students.Research limitations/implications: The limitations of this work regard the need to expand the analysis to all the other CLabs created in Italian universities.Practical implications: The findings provide indications that may be used to guide a university faculty in the design and management of Entrepreneurship Education Centres in collaboration with entrepreneurs, corporations, student clubs, incubators and representatives of the local entrepreneurial ecosystem. Moreover, the results point out a need to develop interdisciplinary entrepreneurial programmes.Originality/value: The originality resides in the analysis of a novel type of Entrepreneurship Education Centre in Italian Universities created as the result of an ad-hoc Italian policy.