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001			238603
003			ES-VaUEC
005			20240103143945.0
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008			230704s2023 sz | s |||| 0|eng d
020			_a9783031317859
024	7		_a10.1007/978-3-031-31785-9 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC
050	0	4	_aTS155-194 _b2024
100	1		_aVanhoucke, Mario. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	4	_aThe Illusion of Control: _bProject Data, Computer Algorithms and Human Intuition for Project Management and Control _cby Mario Vanhoucke
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aManagement for Professionals, _x2192-810X
520			_aThis book comprehensively assesses the growing importance of project data for project scheduling, risk analysis and control. It discusses the relevance of project data for both researchers and professionals, and illustrates why the collection, processing and use of such data is not as straightforward as most people think. The theme of this book is known in the literature as data-driven project management and includes the discussion of using computer algorithms, human intuition, and project data for managing projects under risk. The book reviews the basic components of data-driven project management by summarizing the current state-of-the-art methodologies, including the latest computer and machine learning algorithms and statistical methodologies, for project risk and control. It highlights the importance of artificial project data for academics, and describes the specific requirements such data must meet. In turn, the book discusses a wide variety of statistical methods available to generate these artificial data and shows how they have helped researchers to develop algorithms and tools to improve decision-making in project management. Moreover, it examines the relevance of project data from a professional standpoint and describes how professionals should collect empirical project data for better decision-making. Finally, the book introduces a new approach to data collection, generation, and analysis for creating project databases, making it relevant for academic researchers and professional project managers alike.
830		0	_aManagement for Professionals, _x2192-810X
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-31785-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
912			_aZDB-2-BUM
912			_aZDB-2-SXBM
942			_2lcc _cLE
988			_aSpringer_Business_2023
999			_c238603 _d238603