Suchergebnisse

Intro -- Preface -- Acknowledgment -- Contents -- List of Figures -- List of Tables -- Chapter 1: Associated Problem with Greening Universities -- 1.1 Background of the Study -- 1.2 The Associated Problem with Greening Universities -- 1.3 Purpose of the Study -- 1.4 Significance of the Study -- 1.4.1 Significance for Students -- 1.4.2 Significance for Employees of the University -- 1.4.3 Significance for the Management -- 1.4.4 Significance for the University/Campus -- 1.4.5 Significance for the Economy -- 1.4.6 Significance for the Planet -- 1.5 Layout of the Study -- References -- Chapter 2: Scope for Green Knowledge and Innovation -- 2.1 Introduction -- 2.2 Nine Planetary Boundaries -- 2.3 Doughnut Economics -- 2.4 Sustainable Development Goals -- 2.5 The Paris Climate Agreement -- References -- Chapter 3: Ethics for Greening Universities -- 3.1 Ethics -- 3.1.1 Ethical Capital -- 3.1.2 Ethical Capital and Helix Model -- 3.1.3 Pre-eminent Ethical Capital from Quintuple Helix Innovation Model -- 3.2 Ecological Economics: Light Ecology vs. Deep Ecology -- 3.2.1 The Concept of Natural Capital -- 3.2.2 The Concept of Equity -- 3.2.3 The Concept of Eco-Form/Design -- 3.2.4 Integrative Management -- 3.2.5 The Concept of Global Political Agenda -- 3.2.6 The Concept of Utopianism -- References -- Chapter 4: Institutional Change for Greening Universities -- 4.1 Power of Universities as an Organization -- 4.2 Neo-Institutionalism for Greening Universities -- 4.3 Definition of Organization -- 4.4 Rationality of an Organization: Internalization of Transaction Cost -- 4.5 Bureaucratization -- 4.6 Myths and Ceremony for Legitimacy of the Organization -- 4.7 Isomorphism -- 4.8 Change Management -- 4.9 Leadership -- 4.10 Stakeholder Theory -- References -- Chapter 5: In Search of a Framework for Greening University: Document Analysis -- 5.1 Document Analysis.

AbstractKnowledge, especially scientific and technological knowledge, grows according to knowledge trajectories and guideposts that make up the prior knowledge of an organization. We argue that these knowledge structures and their specific components lead to successful innovation. A firm's prior knowledge facilitates the absorption of new knowledge, thereby renewing a firm's systematic search, transfer and acquisition of knowledge and capabilities. In particular, the exponential growth in biotechnology is characterized by the convergence of disparate scientific and technological knowledge resources. This paper examines the shift from protein‐based to DNA‐based diagnostic technologies as an example, to quantify the value of a firm's prior knowledge using relative values of knowledge distance. The distance between core prior knowledge and the rate of transition from one knowledge system to another has been identified as a proxy for the value a firm's prior knowledge. The overall 'difficulty of transition' from one technology paradigm to another is discussed. We argue this transition is possible when the knowledge distance is minimal and the transition process has a correspondingly high value of absorptive capacities. Our findings show knowledge distance is a determinant of the feasibility, continuity and capture of scientific and technological knowledge. Copyright © 2003 John Wiley & Sons, Ltd.

Big Science, Innovation and Societal Contributions offers a connection between Big Science and its societal impacts from a multidisciplinary perspective, drawing on physics and astrophysics scholars to explain the reasoning behind their work, and how such knowledge can be applied to everyday life.