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The digital agriculture revolution holds a promise to build an agriculture and food system that is efficient, environmentally sustainable, and equitable, one that can help deliver the Sustainable Development Goals. Unlike past technological revolutions in agriculture, which began on farms, the current revolution is being sparked at multiple points along the agrifood value chain. The change is driven by the ability to collect, use, and analyze massive amounts of machine-readable data about practically every aspect of the value chain, and by the emergence of digital platforms disrupting existing business models. All this allows for drastically reduced transaction costs and pervasive information asymmetries that plague the agrifood system. The success of the digital transformation, however, is not guaranteed as the risks it brings are numerous, including those related to data governance and inadequate competition within and between digital platforms. What's Cooking: Digital Transformation of the Agrifood System investigates how digital technologies can accelerate the transformation of the agrifood system by increasing efficiency on the farm; improving farmers' access to output, input, and financial markets; strengthening quality control and traceability; and improving the design and delivery of agriculture policies. It also identifies a key role for the public sector in maximizing the benefits of this process while minimizing its risks, through enabling an innovation ecosystem featuring open datasets, digital platforms, digital entrepreneurship, digital payment systems, and digital skills and encouraging equitable technology adoption.

Digital Divide --- Digital Platforms --- Digital Technologies --- Efficiency --- Environmental Sustainability --- Equity --- Food System --- Information Asymmetries --- Innovation Ecosystem --- Transaction Costs

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Higher education has been considered both an ‘engine’ for innovation and a ‘catalyst’ for sustainability development; the integration of both the innovation engine and sustainability catalyst roles are discussed in a recently published Special Issue on the theme of Higher Education in Innovation Ecosystems in the journal Sustainability. Based on 16 articles contributing to the Special Issue from various perspectives, the Special Issue editors have developed an overarching framework about the relationships between higher education and innovation ecosystems. In the framework, we re-define the concept of innovation ecosystem and identify emerging roles of universities in developing sustainable innovation ecosystems. Re-conceptualization of innovation ecosystems In the editorial of the Special Issue, innovation ecosystem is defined as: co-innovation networks in which actors from organizations concerned with the functions of knowledge production, wealth creation, and norm control interact with each other in forming co-evolution and interdependent relations (both direct or indirect) in cross-geographical contexts and through which new ideas and approaches from various internal and external sources are integrated into a platform to generate shared values for the sustainable transformation of society. Compared with most commonly cited definitions of innovation ecosystem, our definition highlights three new aspects of interactions in co-innovation networks: cross-sectoral, transnational, and indirect, drawing insights from the literature including innovation, geography, and biology studies. The roles of universities in innovation ecosystems The emerging roles of universities in innovation ecosystems are as follows: (1) The role of universities is changing from being a central player in technology transfer to being an anchor in knowledge exchange; (2) universities are assuming a new role in trust-building between actors in innovation ecosystems; and (3) universities are not merely an entrepreneurial universities but are also institutional entrepreneur in the innovation ecosystem. The three emerging roles all indicate that universities are becoming the catalysts for sustainable development in innovation ecosystems. Knowledge exchange is crucial for sustainability; trust is the foundation of the sustainable networks; social entrepreneurship is indispensable for sustainable social change. Evidence in wider contexts A total of 44 authors from 10 countries contributed to the discussions on the changing roles of higher education in innovation ecosystems from varying perspectives. They also report transformations within higher education and universities’ responses to both external and internal transformations. When addressing these issues, the studies provide both theoretical and methodological contributions to the research on higher education in innovation ecosystems. The 16 articles can be generally placed into four categories: (1) new demands for universities arising from the transformation in society toward innovation ecosystems, (2) transformations within higher education responding to emerging societal demands, (3) dynamics of the interaction of university with other innovation actors in a transnational context, and (4) academic and student mobility for higher education innovation. Calling for a new research agenda While societal changes demand broader roles of universities, they also call for and leads to substantial changes within the internal fabric of the university. The innovations in both society and the universities necessitate a renewed understanding of higher education in society, which has become a new research agenda in studies on innovation in higher education. We hope our Special Issue will inspire and encourage more scholars to join the research field.

Humanities --- Education --- transnational industry cooperation --- transnational university cooperation --- transnational innovation ecosystem --- EU–China --- science, technology and innovation cooperation --- transdisciplinary approach --- artificial intelligence --- machine learning --- Higher Education --- University --- Entrepreneurial competences --- Employability --- Theory of Planned Behaviour (TPB) --- Open Innovation --- business creation --- technology transfer --- innovation --- innovation ecosystem --- entrepreneurship education --- science and technology --- sustainability --- higher education --- educational innovation --- Mexico --- academic mobility --- knowledge transfer --- higher education innovation --- institutional environment --- postgraduate education --- education level --- discipline background --- graduation institution --- R&amp --- D investment --- triple helix --- synergy mechanism --- national system of innovation --- China --- Belt and Road Initiative --- developmental model of intercultural sensitivity --- general model of instructional communication --- instructional beliefs model --- intercultural communication competence model --- green GDP --- environment --- sustainable development --- global innovation systems --- Chinese research university --- faculty income --- academic labor market --- ordinary labor market --- joint R&amp --- D institute --- institutional logics --- China’s innovation system --- China’s transnational Triple Helix linkages --- problem-solving --- critical reflection --- knowledge integration --- social learning --- systemic thinking --- entrepreneurial university --- entrepreneurship --- influencing factors --- sustainable universities --- corporate sustainability --- tensions --- integrative framework --- Finnish universities --- higher education system --- social entrepreneurship --- entrepreneurial universities --- business model innovation --- socialist economies --- Cuba --- knowledge brokers --- knowledge intensive policies --- smart specialisation --- innovation ecosystems --- global talent --- social integration --- economic integration --- Chinese student --- Finland --- university --- third mission --- knowledge-based society --- global innovation networks --- transnational industry cooperation --- transnational university cooperation --- transnational innovation ecosystem --- EU–China --- science, technology and innovation cooperation --- transdisciplinary approach --- artificial intelligence --- machine learning --- Higher Education --- University --- Entrepreneurial competences --- Employability --- Theory of Planned Behaviour (TPB) --- Open Innovation --- business creation --- technology transfer --- innovation --- innovation ecosystem --- entrepreneurship education --- science and technology --- sustainability --- higher education --- educational innovation --- Mexico --- academic mobility --- knowledge transfer --- higher education innovation --- institutional environment --- postgraduate education --- education level --- discipline background --- graduation institution --- R&amp --- D investment --- triple helix --- synergy mechanism --- national system of innovation --- China --- Belt and Road Initiative --- developmental model of intercultural sensitivity --- general model of instructional communication --- instructional beliefs model --- intercultural communication competence model --- green GDP --- environment --- sustainable development --- global innovation systems --- Chinese research university --- faculty income --- academic labor market --- ordinary labor market --- joint R&amp --- D institute --- institutional logics --- China’s innovation system --- China’s transnational Triple Helix linkages --- problem-solving --- critical reflection --- knowledge integration --- social learning --- systemic thinking --- entrepreneurial university --- entrepreneurship --- influencing factors --- sustainable universities --- corporate sustainability --- tensions --- integrative framework --- Finnish universities --- higher education system --- social entrepreneurship --- entrepreneurial universities --- business model innovation --- socialist economies --- Cuba --- knowledge brokers --- knowledge intensive policies --- smart specialisation --- innovation ecosystems --- global talent --- social integration --- economic integration --- Chinese student --- Finland --- university --- third mission --- knowledge-based society --- global innovation networks

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Higher education has been considered both an ‘engine’ for innovation and a ‘catalyst’ for sustainability development; the integration of both the innovation engine and sustainability catalyst roles are discussed in a recently published Special Issue on the theme of Higher Education in Innovation Ecosystems in the journal Sustainability. Based on 16 articles contributing to the Special Issue from various perspectives, the Special Issue editors have developed an overarching framework about the relationships between higher education and innovation ecosystems. In the framework, we re-define the concept of innovation ecosystem and identify emerging roles of universities in developing sustainable innovation ecosystems. Re-conceptualization of innovation ecosystems In the editorial of the Special Issue, innovation ecosystem is defined as: co-innovation networks in which actors from organizations concerned with the functions of knowledge production, wealth creation, and norm control interact with each other in forming co-evolution and interdependent relations (both direct or indirect) in cross-geographical contexts and through which new ideas and approaches from various internal and external sources are integrated into a platform to generate shared values for the sustainable transformation of society. Compared with most commonly cited definitions of innovation ecosystem, our definition highlights three new aspects of interactions in co-innovation networks: cross-sectoral, transnational, and indirect, drawing insights from the literature including innovation, geography, and biology studies. The roles of universities in innovation ecosystems The emerging roles of universities in innovation ecosystems are as follows: (1) The role of universities is changing from being a central player in technology transfer to being an anchor in knowledge exchange; (2) universities are assuming a new role in trust-building between actors in innovation ecosystems; and (3) universities are not merely an entrepreneurial universities but are also institutional entrepreneur in the innovation ecosystem. The three emerging roles all indicate that universities are becoming the catalysts for sustainable development in innovation ecosystems. Knowledge exchange is crucial for sustainability; trust is the foundation of the sustainable networks; social entrepreneurship is indispensable for sustainable social change. Evidence in wider contexts A total of 44 authors from 10 countries contributed to the discussions on the changing roles of higher education in innovation ecosystems from varying perspectives. They also report transformations within higher education and universities’ responses to both external and internal transformations. When addressing these issues, the studies provide both theoretical and methodological contributions to the research on higher education in innovation ecosystems. The 16 articles can be generally placed into four categories: (1) new demands for universities arising from the transformation in society toward innovation ecosystems, (2) transformations within higher education responding to emerging societal demands, (3) dynamics of the interaction of university with other innovation actors in a transnational context, and (4) academic and student mobility for higher education innovation. Calling for a new research agenda While societal changes demand broader roles of universities, they also call for and leads to substantial changes within the internal fabric of the university. The innovations in both society and the universities necessitate a renewed understanding of higher education in society, which has become a new research agenda in studies on innovation in higher education. We hope our Special Issue will inspire and encourage more scholars to join the research field.

transnational industry cooperation --- transnational university cooperation --- transnational innovation ecosystem --- EU–China --- science, technology and innovation cooperation --- transdisciplinary approach --- artificial intelligence --- machine learning --- Higher Education --- University --- Entrepreneurial competences --- Employability --- Theory of Planned Behaviour (TPB) --- Open Innovation --- business creation --- technology transfer --- innovation --- innovation ecosystem --- entrepreneurship education --- science and technology --- sustainability --- higher education --- educational innovation --- Mexico --- academic mobility --- knowledge transfer --- higher education innovation --- institutional environment --- postgraduate education --- education level --- discipline background --- graduation institution --- R&amp --- D investment --- triple helix --- synergy mechanism --- national system of innovation --- China --- Belt and Road Initiative --- developmental model of intercultural sensitivity --- general model of instructional communication --- instructional beliefs model --- intercultural communication competence model --- green GDP --- environment --- sustainable development --- global innovation systems --- Chinese research university --- faculty income --- academic labor market --- ordinary labor market --- joint R&amp --- D institute --- institutional logics --- China’s innovation system --- China’s transnational Triple Helix linkages --- problem-solving --- critical reflection --- knowledge integration --- social learning --- systemic thinking --- entrepreneurial university --- entrepreneurship --- influencing factors --- sustainable universities --- corporate sustainability --- tensions --- integrative framework --- Finnish universities --- higher education system --- social entrepreneurship --- entrepreneurial universities --- business model innovation --- socialist economies --- Cuba --- knowledge brokers --- knowledge intensive policies --- smart specialisation --- innovation ecosystems --- global talent --- social integration --- economic integration --- Chinese student --- Finland --- university --- third mission --- knowledge-based society --- global innovation networks

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This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Artificial intelligence --- Ethics & moral philosophy --- Ethical & social aspects of IT --- Philosophy --- Business ethics & social responsibility --- Artificial Intelligence --- Ethics --- Computers and Society --- Philosophy of Technology --- Business Ethics --- Applied Ethics --- Ethics of Technology --- Computer Ethics --- Information Ethics --- Responsible Research and Innovation --- Innovation Ecosystem --- Engineering Ethics --- Corporate Social Responsibility --- Open Access --- Artificial intelligence. --- Ethics. --- Computers and civilization. --- Technology --- Business ethics. --- Artificial Intelligence. --- Moral Philosophy and Applied Ethics. --- Computers and Society. --- Philosophy of Technology. --- Business Ethics. --- Philosophy. --- Business --- Businesspeople --- Commercial ethics --- Corporate ethics --- Corporation ethics --- Professional ethics --- Wealth --- Technology and civilization --- Civilization and computers --- Civilization --- Deontology --- Ethics, Primitive --- Ethology --- Moral philosophy --- Morality --- Morals --- Philosophy, Moral --- Science, Moral --- Values --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Moral and ethical aspects

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To be competitive, companies must develop capabilities that allow them to react rapidly to market demands. The innovation methods of the past are not adapted to the turbulence of the modern world. In the last decade, increasing globalization of markets and Industry 4.0 have caused profound changes in the best way to manage the innovation process. This e-book includes a collection of thirteen papers that discuss theoretical approaches, case studies, and surveys focused on issues related to open innovation and its mechanisms.

Technology: general issues --- eco-innovation --- cleaner production --- strategy --- performance --- natural resource-based view --- stakeholder theory --- decision making --- forest management --- Nash Bayesian Equilibrium (NBE) --- Harsanyi’s Transformation (HT) --- risk management --- project management --- sustainability --- social network analysis --- collaborative networks --- project lifecycle --- project critical success factors --- open innovation --- predictive model --- project outcome likelihood --- organizational competencies --- innovation ecosystem --- evolutionary economics --- Panarchy --- resilience --- adaptation --- competitiveness --- innovation --- new products --- functional framework --- SIFSNPIP --- case studies --- ecosystem --- organic wine --- Tuscany --- virtual enterprise --- fuzzy logic --- systems engineering --- entrepreneurship --- technopreneurial intentions --- grand challenges --- innovation ecosystems --- mission-oriented innovation --- SDGs --- sustainable innovation --- systematic literature review --- SLR --- transformative innovation --- typology --- architecture engineering and construction (AEC) industry --- building information modelling (BIM) --- cultivation --- Technological Readiness Level --- smart farming --- viticulture --- lean --- business model canvas --- circular economy --- user integration --- cars --- electric vehicles --- biofuels --- logit models --- n/a --- Harsanyi's Transformation (HT) --- Technology.