000			03869nam a22004695i 4500
999			_c119365 _d119365
001			119365
003			ES-MaUEC
005			20230102113944.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			200311s2020 gw | s |||| 0|eng d
020			_a9783030350321
024	7		_a10.1007/978-3-030-35032-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_a HD2963 _b2020 EB
245	0	0	_aAnalytics for the Sharing Economy : _bMathematics, Engineering and Business Perspectives _cedited by Emanuele Crisostomi, Bissan Ghaddar, Florian Häusler, Joe Naoum-Sawaya, Giovanni Russo, Robert Shorten.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (VI, 348 páginas) _b79 ilustraciones, 64 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_a Introduction -- Optimisation -- Networking -- Game Theory -- Queuing Theory -- IoT and Cloud Computing -- Blockchain -- New Business Models.
520	3		_aThe book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area. Control and optimization analytics for the sharing economy explores bespoke analytics, tools, and business models that can be used to help design collaborative consumption services (the shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility. The contributors review successful examples of sharing systems, and explore the theory for designing effective and stable shared-economy models. They discuss recent innovations in and uses of shared economy models in niche areas, such as energy and mobility. Readers learn the scientific challenging issues associated with the realization of a sharing economy. Conceptual and practical matters are examined, and the state-of-the-art tools and techniques to address such applications are explained. The contributors also show readers how topical problems in engineering, such as energy consumption in power grids, or bike sharing in transportation networks, can be formulated and solved from a general collaborative consumption perspective. Since the book takes a mathematical perspective to the topic, researchers in business, computer science, optimization and control find it useful. Practitioners also use the book as a point of reference, as it explores and investigates the analytics behind economy sharing.
988			_aSpringer_Robotics_31032020
650		7	_2embne _aCooperativas _9139898
700	1		_aCrisostomi, Emanuele _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGhaddar, Bissan _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHäusler, Florian _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aNaoum-Sawaya, Joe _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRusso, Giovanni _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aShorten, Robert _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted edition: _z9783030350314
776	0	8	_iPrinted edition: _z9783030350338
776	0	8	_iPrinted edition: _z9783030350345
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-35032-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _eh _zSI