Big data and decision-making: applications and uses in the public and private sector
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Bingley, UK
Emerald Publishing
2023
|
| Ausgabe: | First edition |
| Schriftenreihe: | Emerald studies in politics and technology
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| Schlagwörter: | |
| Links: | https://doi.org/10.1108/9781803825519 https://doi.org/10.1108/9781803825519 |
| Abstract: | Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed. Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data. Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource (xv, 221 Seiten) Diagramme |
| ISBN: | 9781803825519 9781803825533 |
Internformat
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| 520 | 3 | |a Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed. Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data. Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management. | |
| 653 | 0 | |a Decision making / Data processing | |
| 653 | 0 | |a Big data | |
| 653 | 0 | |a Business & Economics ; Decision-Making & Problem Solving | |
| 653 | 0 | |a Management decision making | |
| 700 | 1 | |a Visvizi, Anna |d 1976- |0 (DE-588)1137536098 |4 edt | |
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Datensatz im Suchindex
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| building | Verbundindex |
| bvnumber | BV048868115 |
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| dewey-full | 658.403 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.403 |
| dewey-search | 658.403 |
| dewey-sort | 3658.403 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV048868115 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-11T14:12:45Z |
| institution | BVB |
| isbn | 9781803825519 9781803825533 |
| language | English |
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| series2 | Emerald studies in politics and technology |
| spelling | Big data and decision-making applications and uses in the public and private sector edited by Anna Visvizi (SGH Warsaw School of Economics, Poland & and the American College of Greece, Greece), Orlando Troisi (University of Salerno, Italy), and Mara Grimaldi (University of Salerno, Italy) First edition Bingley, UK Emerald Publishing 2023 1 Online-Ressource (xv, 221 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Emerald studies in politics and technology Includes bibliographical references and index Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed. Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data. Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management. Decision making / Data processing Big data Business & Economics ; Decision-Making & Problem Solving Management decision making Visvizi, Anna 1976- (DE-588)1137536098 edt Troisi, Orlando edt Grimaldi, Mara edt Erscheint auch als Druck-Ausgabe 978-1-80382-552-6 |
| spellingShingle | Big data and decision-making applications and uses in the public and private sector |
| title | Big data and decision-making applications and uses in the public and private sector |
| title_auth | Big data and decision-making applications and uses in the public and private sector |
| title_exact_search | Big data and decision-making applications and uses in the public and private sector |
| title_full | Big data and decision-making applications and uses in the public and private sector edited by Anna Visvizi (SGH Warsaw School of Economics, Poland & and the American College of Greece, Greece), Orlando Troisi (University of Salerno, Italy), and Mara Grimaldi (University of Salerno, Italy) |
| title_fullStr | Big data and decision-making applications and uses in the public and private sector edited by Anna Visvizi (SGH Warsaw School of Economics, Poland & and the American College of Greece, Greece), Orlando Troisi (University of Salerno, Italy), and Mara Grimaldi (University of Salerno, Italy) |
| title_full_unstemmed | Big data and decision-making applications and uses in the public and private sector edited by Anna Visvizi (SGH Warsaw School of Economics, Poland & and the American College of Greece, Greece), Orlando Troisi (University of Salerno, Italy), and Mara Grimaldi (University of Salerno, Italy) |
| title_short | Big data and decision-making |
| title_sort | big data and decision making applications and uses in the public and private sector |
| title_sub | applications and uses in the public and private sector |
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