Buch, Englisch, 174 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 404 g
Reihe: Impactful Data Science
Reframing Sustainability for Businesses
Buch, Englisch, 174 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 404 g
Reihe: Impactful Data Science
ISBN: 978-1-032-07950-9
Verlag: CRC Press
This book explores the role of businesses in delivering positive societal and financial outcomes as they seek to bridge the gap between short-term organizational behaviors and long-range sustainability commitments. By addressing the inevitable data challenges associated with the strategic integration of a sustainability mindset, it enables faster adoption of social, environmental and governance metrics that generate lasting enterprise value. Inspired by the experience of practitioners that have successfully influenced the learning behaviors of complex organizations, this book helps readers drive systemic innovations as they leverage sustainability initiatives in a programmatic and intentional manner.
Features:
- Defines a toolkit to generate sustainable business value by focusing on the organizational design underpinning sustainability-oriented initiatives.
- Provides a multidisciplinary lens on shaping the impact dialogue through applied frameworks.
- Discusses the need to analytically identify an organizational learning curve before developing impact targets and framing sustainability commitments around them.
- Combines theory and practice in a practical style by presenting a variety of real-life applications at a global level.
The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Zielgruppe
Academic, Postgraduate, Professional, Professional Practice & Development, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
- Geowissenschaften Umweltwissenschaften Umwelttechnik
- Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
Weitere Infos & Material
Chapter 1.The Impact Enterprise, Chapter 2.Organizational Learning for Impact, Chapter 3. Are Novel Datasets the Solution?, Chapter 4. Taking Impact a Step Forward, Chapter 5. The Data-Enabled Sustainability Mindset, Chapter 6.Culture and Climate Change, Chapter 7. Building Inclusive Networks, Chapter 8. The Informal Organization. Chapter 9. The Impact of Data on Human Rights, Chapter 10. The Next Decade: Innovation to Impact