A termék adatai:
| ISBN13: | 9781398610279 |
| ISBN10: | 1398610275 |
| Kötéstípus: | Puhakötés |
| Terjedelem: | 400 oldal |
| Méret: | 235x158x23 mm |
| Súly: | 605 g |
| Nyelv: | angol |
| 659 |
Témakör:
Data Ethics
Practical Strategies for Implementing Ethical Information Management and Governance
Kiadás sorszáma és címe: 1
Sorozatcím:
Kogan Page Complete;
1;
Kiadás sorszáma: 2
Kiadó: Kogan Page
Megjelenés dátuma: 2023. június 3.
Normál ár:
Kiadói listaár:
GBP 44.99
GBP 44.99
Az Ön ára:
20 705 (19 719 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 2 301 Ft)
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Rövid leírás:
Learn how organizational data can be governed according to ethical principles with this practical guide.
Hosszú leírás:
Data-gathering technology is more sophisticated than ever, as are the ethical standards for using this data. This second edition shows how to navigate this complex environment.
Data Ethics provides a practical framework for the implementation of ethical principles into information management systems. It shows how to assess the types of ethical dilemmas organizations might face as they become more data-driven. This fully updated edition includes guidance on sustainability and environmental management and on how ethical frameworks can be standardized across cultures that have conflicting values. There is also discussion of data colonialism, the challenge of ethical trade-offs with ad-tech and analytics such as Covid-19 tracking systems and case studies on Smart Cities and Demings Principles.
As the pace of developments in data-processing technology continues to increase, it is vital to capitalize on the opportunities this affords while ensuring that ethical standards and ideals are not compromised. Written by internationally regarded experts in the field, Data Ethics is the essential guide for students and practitioners to optimizing ethical data standards in organizations.
Data Ethics provides a practical framework for the implementation of ethical principles into information management systems. It shows how to assess the types of ethical dilemmas organizations might face as they become more data-driven. This fully updated edition includes guidance on sustainability and environmental management and on how ethical frameworks can be standardized across cultures that have conflicting values. There is also discussion of data colonialism, the challenge of ethical trade-offs with ad-tech and analytics such as Covid-19 tracking systems and case studies on Smart Cities and Demings Principles.
As the pace of developments in data-processing technology continues to increase, it is vital to capitalize on the opportunities this affords while ensuring that ethical standards and ideals are not compromised. Written by internationally regarded experts in the field, Data Ethics is the essential guide for students and practitioners to optimizing ethical data standards in organizations.
