Innovation models are key to fostering technology-focused entrepreneurship in higher education institutions (HEIs). These models create dynamic environments that encourage collaboration, creativity, and problem-solving skills among students and faculty. HEIs face several challenges in fostering entrepreneurship, including allocating sufficient financial and human resources, integrating entrepreneurship education across disciplines, and managing intellectual property. Overcoming these challenges requires HEIs to cultivate an entrepreneurial culture and establish strong partnerships with industry stakeholders. To achieve these goals, HEIs must adopt successful innovation models proven to work. This article presents an international case study highlighting such models and the factors contributing to their success. This study explores the implementation and impact of innovation models, specifically IDEATION and DEETECHTIVE, within HEIs to foster technology-focused entrepreneurship. By implementing numerous actions focusing on online education integration and the Quintuple Helix Innovation Model, these models support shifting engineering students’ mindsets toward entrepreneurship. This research highlights the importance of academia–industry collaboration, international partnerships, and the integration of entrepreneurship education in technology-focused disciplines. This study presents two models. The first, IDEATION, focuses on open innovation and sharing economy aspects. This model underwent rigorous testing and refinement, evolving into the second model, DEETECHTIVE, which is more comprehensive and deep tech-focused. These models have been validated as effective frameworks for fostering entrepreneurship and innovation within HEIs. This study’s findings underscore the potential of these models to enhance innovation capacity, foster an entrepreneurial culture, and create ecosystems rich in creativity and advancement. Practical implications include the establishment of open innovation-oriented structures and mechanisms, the development of specialized curriculum components, and the creation of enhanced collaboration platforms.

Integrating remote Internet of Things (IoT) laboratories into project-based learning (PBL) in higher education institutions (HEIs) while exploiting the approach of technology-enhanced learning (TEL) is a challenging yet pivotal endeavor. Our proposed approach enables students to interact with an IoT-equipped lab locally and remotely, thereby bridging theoretical knowledge with practical application, creating a more immersive, adaptable, and effective learning experience. This study underscores the significance of combining hardware, software, and coding skills in PBL, emphasizing how IoTRemoteLab (the remote lab we developed) supports a customized educational experience that promotes innovation and safety. Moreover, we explore the potential of IoTRemoteLab as a TEL, facilitating and supporting the understanding and definition of the requirements of remote learning. Furthermore, we demonstrate how we incorporate generative artificial intelligence into IoTRemoteLab’s settings, enabling personalized recommendations for students leveraging the lab locally or remotely. Our approach serves as a model for educators and researchers aiming to equip students with essential skills for the digital age while addressing broader issues related to access, engagement, and sustainability in HEIs. The practical findings following an in-class experiment reinforce the value of IoTRemoteLab and its features in preparing students for future technological demands and fostering a more inclusive, safe, and effective educational environment.

The city of Wrocław is an important Polish center for creating innovations and modern technological solutions. In general, Polish innovation system is having problems with a lack of cooperation among different actors, a low level of commercialization and a weak uptake of technologies. Based on that, the objectives of this paper were set on the identification of the local innovation and entrepreneurial opportunities, the analysis of the current innovation system and the development of a community’s ecosystem theoretical concept. Currently, in Wrocław, many organizations are dealing with innovation. To assess the regional situation of the innovation system the ethnographic analysis was conducted. Each of the stakeholder segments was analyzed based on the resources, activities, value addition and value capture factors. The research showed a huge potential for creating an innovation ecosystem, however due to the variety of different activities, there is no common Innovation Ecosystem. Based on the analysis results, the Ecosystem Pie Model tool was used to create the ecosystem model concept. Research showed a huge potential for creating an innovation ecosystem. Therefore, Wrocław should aim to create a development policy framework that favors entrepreneurial innovation and will allow sustainable regional development.

Regulations, depletion of natural resources and changing customer demands are putting pressure on manufacturing companies to consider environmental issues in the development of new products. Companies are using PLM systems to manage the product lifecycle, but the current generation of these systems is not adequately adapted to product sustainability issues. The research results presented in this article are intended to support two target groups: academia and industry. The main scientific objective is to provide a systematic method for selecting and evaluating sustainability indicators related to the various phases of automotive lifecycle management. The main application goal is to support the industry in its pursuit of greener development by identifying which sustainability indicators are relevant to each phase of the product lifecycle. As a result, the key green indicators related to the automotive industry in line with the GreenPLM concept are identified together with their assignment to the elements of the car’s beginning-of-life stages, as well as their potential data sources. This paper introduces the concept of GreenPLM and its future application possibilities.