Search

The study explores Open Innovation practices adopted by large firms in low- and medium-technology industries to foster innovation when the integration of distant knowledge from far scientific and technological fields is required. The study performs an explanatory single case study methodology. It focuses on the Italian food producer Barilla and its Blu1877 corporate venture capital fund to explore innovations in the food and agri-tech domains. It emerges that, with the intent to create and orchestrate an Open Innovation Ecosystem, Barilla moves across two main trajectories: (i) the search for external knowledge and expansion of network for new markets and technology exploration, and (ii) the support and mentorship of innovative start-ups that explore and develop novel ideas and technologies. The resulting Open Innovation Ecosystem has become the locus where innovations are developed by sharing knowledge, competencies, and capabilities among diverse actors and where companies can promote a transition toward the opening of their organisational boundaries. [ABSTRACT FROM AUTHOR]

The multifaceted issues regarding university-industry relations are an increasing focus of attention of both scholars and practitioners, as a means of enhancing current knowledge transfer practices and policies. One of the central questions is whether and how the mechanisms underlying different types of university-industry collaborations (collaborative research, contract research, consulting) influence universities' research commercialisation outcomes (patenting, licensing, spin-off generation). Results of six negative binomial models in Generalized Estimating Equations based on longitudinal panel data on Italian universities, reveal that while collaborative research with industry leads to an increase in patenting activities and spin-off generation, contract research and consulting boost licensing opportunities. Results also reveal complementarities between different types of university-industry linkages, fostering all the types of research commercialisation outcomes. Managerial and policy implications are discussed at the end of this paper. [ABSTRACT FROM AUTHOR]

The new paradigm known as the Internet of Things (IoT) is expected to have a significant impact on business during the next years, as it leads to the connection of physical objects and the interaction between the digital and physical worlds. While prior literature addressing the business implications arising from this paradigm has largely considered IoT as an integrated technology, in this study we examine different components of IoT and assess whether firms concerned with the development of IoT solutions have adopted original business models to exploit the opportunities offered by the specific IoT architecture layer they operate in. In turn, based on primary survey data collected on a sample of IoT Italy association's members, we explore different dimensions of the business model and offer a reinterpretation of the business model Canvas framework adapted to the IoT environment. We show that the specificities of each IoT layer require firms to adopt ad-hoc business models and focus on different dimensions of the business model Canvas. We believe our research provides some important contributions for both academics and practitioners. For the latter, we provide a tool useful for making decisions on how to design the business model for IoT applications. [ABSTRACT FROM AUTHOR]