000			05391nam a2200493Ii 4500
001			9781803825533
005			20250919145711.0
006			m o d
007			cr un|||||||||
008			230118t20232023enk ob 001 0 eng d
020			_a9781803825533 _q(e-book)
040			_aUtOrBLW _beng _erda _cUtOrBLW
050		4	_aHD30.23 _b.B54 2023
072		7	_aBUS019000 _2bisacsh
072		7	_aKJMD _2bicssc
082	0	4	_a658.403 _223
245	0	0	_aBig data and decision-making : _bapplications and uses in the public and private sector / _cedited by Anna Visvizi (SGH Warsaw School of Economics, Poland), Orlando Troisi (University of Salerno, Italy), and Mara Grimaldi (University of Salerno, Italy).
264		1	_aBingley, U.K. : _bEmerald Publishing Limited, _c2023.
264		4	_c©2023
300			_a1 online resource (240 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aEmerald studies in politics and technology
504			_aIncludes bibliographical references and index.
505	0		_aChapter 1. Big data & decision-making: How big data is relevant across fields and domains / Anna Visvizi, Orlando Troisi, and Mara Grimaldi -- Part 1. Conceptualizing big data, its value added and relevance in the modern world -- Chapter 2. Mapping and conceptualizing big data and its value across issues and domains / Anna Visvizi, Orlando Troisi, and Mara Grimaldi -- Chapter 3. Digital governance for addressing performance challenges within inter-municipalities / Giulia Leoni, Gennaro Maione, and Luca Mazzara -- Chapter 4. Misuse of personal data: Exploring the privacy paradox in the age of big data analytics / Xhimi Hysa, Mario D'Arco, and Joana Kostaqi -- Chapter 5. Nosql security: Can my data-driven decision-making be affected from outside? / Anastasija Nikiforova, Artjoms Daskevics, and Otmane Azeroual -- Chapter 6. Big data, knowledge sharing, and the innovation process: A systematic literature review / Gianluca Maria Guazzo and Vilma Çekani -- Part 2. Big big data and its application across policy fields -- Chapter 7. Transparency in AI systems for value co-creation in healthcare / Antonietta Megaro -- Chapter 8. Big data and its impact on tourism and entrepreneurship / Antonio Botti and Antonella Monda -- Chapter 9. Big data and digital technologies for circular economy in the agri-food sector / Benedetta Esposito, Ornella Malandrino, Maria Rosaria Sessa, and Daniela Sica -- Part 3. Business & policy-making process empowered by big data -- Chapter 10. Business processes powered by big data: Current issues and new research directions / Radoslaw Malik and Katarzyna Rybkowska -- Chapter 11. Barriers and practical challenges for data-driven decision-making in circular economy smes / Anne-Mari Järvenpää, Jari Jussila, and Iivari Kunttu -- Chapter 12. A co-evolutionary perspective on data-driven organization: Highlights from smart cities in the covid-19 era / Francesca Loia -- Chapter 13. What does it take to build a smart sustainable city? -- Modelling an algorithm of smart cities / Olena Sokhatska and Ruslana Lutsiv.
520			_aBig 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.
588	0		_aPrint version record.
650		0	_aDecision making _xData processing.
650		0	_aBig data.
650		7	_aBusiness & Economics _xDecision-Making & Problem Solving. _2bisacsh
650		7	_aManagement decision making. _2bicssc
700	1		_aVisvizi, Anna, _d1976- _eeditor.
700	1		_aTroisi, Orlando, _eeditor.
700	1		_aGrimaldi, Mara, _eeditor.
776	0	8	_iPrint version: _z9781803825526
776	0	8	_iPDF version: _z9781803825519
830		0	_aEmerald studies in politics and technology.
856	4	0	_uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1108/9781803825519
907			_a.b1701279x _b2023-12-01 _c2023-11-28
942			_n0
998			_ae0001 _b2023-11-28 _cm _dz _feng _genk _y0 _z.b1701279x
999			_c668023 _d668023