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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.

An ethnographic case study was performed in two Italian CLabs from October 2017 to December 2019.

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.

The limitations of this work regard the need to expand the analysis to all the other CLabs created in Italian universities.

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.

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.

As the International Organization for Standardization (ISO) has stated in their original definition of quality (ISO 8402:1994), quality is “the totality of characteristics of an entity that bear on its ability to satisfy stated and implied needs.” The authors consequently believe that not only learning from challenges – the relevant entity – should be intended as a task aimed to satisfy the needs of both challenged learners and challenged businesses, but also that not all the entity's needs are stated from the beginning of the process.

These were the methodological assumptions of a workshop on destination management held from October 2020 to February 2021 in the frame of tourism studies at the University of Bergamo. Though the workshop was entirely run through digital channels in a time of pandemic, it successfully provided five destination management organizations (DMOs) and an association among hosts in the Bergamo Alps with a variety of digital communication products.

The workshop was special in terms of satisfaction expressed by participants as well as the involved DMOs. The participants' deliveries became active components of the destinations' policies. A professional video came as a welcome addition.

Implied needs which the workshop came across – namely, doubts on the reliability of tourism data, cooperation among local actors, prerequisites in building a new website, the role of food and recipes in promoting a destination identity, best practices in guiding guests through planned itineraries, and the role of a city administration in controlling overtourism – were identified while researching and producing.

The paper aims to contributes on the debates about University Idea Incubation by investigating the role and the engagement of different University's stakeholders in the process of opportunity recognition in an entrepreneurship education program targeted at students with an interdisciplinary background.

Through a longitudinal case study methodology, the Contamination Lab at University of Salento (Lecce, Italy), the learning approaches and the knowledge process to create an entrepreneurial awareness, mindset and capability in students with different educational background are presented.

The findings demonstrates the crucial role of stakeholders' engagement for business idea presentation, open innovation challenge, contamination workshop on specialized topics, enterprise projects are important vehicle for effective students' business ideas and innovative projects development in a multidisciplinary environment. The close interaction among students, academia, companies and institutions creates a favourable environment that enables opportunity identification, idea generation through a deep contamination of knowledge, skills and experiences.

Limitations include the need to generalise the results even if this limitation is typical of the case study methodology. Other research is necessary for an in-depth analysis in deep of the other Contamination Lab in Italy and to derive the “invariance traits” of this environment according to the features of the local entrepreneurial ecosystems.

Implications for practices include recommendations for designing innovative programs where the interactions between University-Institutions-Industry are realized.

A conceptual framework is proposed by defining all the entrepreneurial knowledge process and knowledge creation within the Contamination Lab, highlighting the contribution of the stakeholders in each phase and learning initiative of the program.

This paper analyses whether the entrepreneurship education centres introduced by the Italian Ministry of Higher Education and Research in 2012 (the Italian Contamination Labs – CLabs) are effectively adopting the emergent digital technologies for nurturing their entrepreneurship education activities and dissemination of knowledge contamination practices among university students.

An in-depth analysis of italian entrepreneurship education centres provides evidence about the direct role played by digital technologies in supporting and enhancing the entrepreneurial processes, as well as on their indirect role in stimulating entrepreneurship activities of nascent student entrepreneurs.

Findings provide some insights into the strategic role of some categories of digital technologies inside the CLabs. The main results show still a weak use of digital technologies in CLabs except for social media and digital platforms, mainly used for promotion scope and communication of the entrepreneurial outputs achieved by the students.

Limitations of the study consist of the need to expand the study to all the other CLabs belonging to the CLabs Italian Network and to derive a set of “invariance” among the cases in terms of digital technologies support for student entrepreneurship.

New ways of managing entrepreneurship centres will involve a more massive adoption of digital technologies to support and transform some processes realized inside the CLabs, even if the governance of such centres must develop new digital skills.

The originality of the work regards the contribution to the emerging role of digital technologies on the student's entrepreneurship.

Presents a real‐time neural network‐based condition monitoring system for rotating mechanical equipment. At its core is an ARTMAP neural network, which continually monitors machine vibration data, as it becomes available, in an effort to pinpoint new information about the machine condition. As new faults are encountered, the network weights can be automatically and incrementally adapted to incorporate information necessary to identify the fault in the future. Describes the design, operation, and performance of the diagnostic system. The system was able to identify the presence of fault conditions with 100 percent accuracy on both lab and industrial data after minimal training; the accuracy of the fault classification (when trained to recognize multiple faults) was greater than 90 percent.

In this chapter, we reflect on the impact of the Covid-19 pandemic on an Innovation and Entrepreneurship educational programme by comparing two editions of the Start-up Lab, a three-month hands-on laboratory organised at the University of Trento (Italy), focused on the development of entrepreneurial ideas by international students. The 2019 edition of the course, before the Covid-19 pandemic outbreak, was held in attendance, whereas the 2021 edition was held online. For the latter, the authors decided to introduce a self-directed learning approach, assuming it could better support remote teamwork and the acquisition of transversal skills. In this chapter, the authors critically question the effectiveness of remote working and the self-directed learning approach in innovation and entrepreneurship education programmes. The authors provide early evidence about some critical aspects of online and distance learning and teamwork, mostly related to self-efficacy skills, such as the ability to motivate others to work together and collaborative work. Despite the negative effects of distance working on some entrepreneurial skills, the authors demonstrate that the ability to reflect on learning experience is a driver for improving specific entrepreneurial and innovation skills. Students who have had the opportunity to reflect on their learning experiences feel more confident about becoming entrepreneurs or working in companies with a stronger entrepreneurial mindset.

In the current economic scenario characterized by turbulence, innovation is a requisite for company's growth. The innovation activities are implemented through the realization of innovative project. This paper aims to prospect the promising opportunities coming from the application of Machine Learning (ML) algorithms to project risk management for organizational innovation, where a large amount of data supports the decision-making process within the companies and the organizations.

Moving from a structured literature review (SLR), a final sample of 42 papers has been analyzed through a descriptive, content and bibliographic analysis. Moreover, metrics for measuring the impact of the citation index approach and the CPY (Citations per year) have been defined. The descriptive and cluster analysis has been realized with VOSviewer, a tool for constructing and visualizing bibliometric networks and clusters.

Prospective future developments and forthcoming challenges of ML applications for managing risks in projects have been identified in the following research context: software development projects; construction industry projects; climate and environmental issues and Health and Safety projects. Insights about the impact of ML for improving organizational innovation through the project risks management are defined.

The study have some limitations regarding the choice of keywords and as well the database chosen for selecting the final sample. Another limitation regards the number of the analyzed papers.

The analysis demonstrated how much the use of ML techniques for project risk management is still new and has many unexplored areas, given the increasing trend in annual scientific publications. This evidence represents an opportunities for supporting the organizational innovation in companies engaged into complex projects whose risk management become strategic.

Within food industry several changes and innovations are affecting the management of the entire supply chain (production, logistics, etc.). As strategy for the survival and competition, digitalization has assumed a crucial role during the pandemic emergence by causing the reconfiguration of traditional chains and business models. Framed in these premises, the research analyses how digital technologies have innovated the sub-chains of bakery products and pasta within food industry with reference to customers' interactions, delivery and marketing during the COVID-19 pandemic emergence.

Moving from a critical literature review about the perspectives of digital technologies within the tradition of food industry, action research has been adopted to analyze in deep a case study of the start-up “ArteBianca Delivery” located in South Italy. Through this method, researchers have been deeply involved within the start-up to face the challenge of transforming the marketing and customer care into digital ones due to the COVID-19 restriction.

Findings provide empirical evidence about the reconfiguration of the traditional business model of a family firm in the food sector into a digital one with the start-up “ArteBianca Delivery”. The marketing, delivery, e-commerce and customer care components of the business models have been supported and enhanced through the adoption of digital tools, such as mobile applications and social technologies useful both for users and for a more urgent digitization of company.

Implications for practice can be identified into the pattern of digital transformation implemented as well as in the opportunity of replication and contextualization of the results to other companies looking for setting up a digital strategy.

Elements of original contribution can be identified into: (1) the exploration of digital transformation in food family firms caused by the pandemic emergence, (2) the contextualization of the digital transformation to the sub-chains of bakery and pasta and (3) the geographical location of the case.

Managing a project involves taking a number of critical decisions that can have a crucial impact on the success or failure of the initiative. The analytical definition and visualization of the main components of a project can support project managers engaged to address the right issues at the right time. This article aims to identify crucial crossroads in the management of a project and to provide a visual representation of knowledge involved into a system of project components and decisions.

A design science process is adopted to define the initial goals and requirements and to develop the knowledge visualization framework. Expert feedback is also gathered to obtain a preliminary validation of the framework.

Moving from a system view of project dimensions, we identify eight types of strategic decisions, i.e. growth, problem shifting, goals balancing, escalation, rewarding, resource allocation, problem fixing and cooperation. We then present a visualization map of project decision making addressing six categories of knowledge (i.e. “what-knowledge”, “how-knowledge”, “who-knowledge”, “why-knowledge”, “what for-knowledge”, “when-knowledge”).

The framework needs further theoretical refinement in terms of more fine-grained decision types, other determinants and the reciprocal influence in the management of project activities.

The article can support project managers attempting to build a comprehensive view of project decisions, and it can be a basis to develop novel types of knowledge management systems for project-related applications.

The article proposes a new approach to sustain strategic decision making in project management by adopting a knowledge visualization view. Moreover, it provides an operational tool for managers and analysts at different levels engaged into the management of a project.