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dc.contributor.authorVanhoucke, Mario
dc.date.accessioned2024-02-08T14:25:30Z
dc.date.available2024-02-08T14:25:30Z
dc.date.issued2023en_US
dc.identifier.isbn978-3-031-31784-2
dc.identifier.doi10.1007/978-3-031-31785-9
dc.identifier.urihttp://hdl.handle.net/20.500.12127/7388
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherSpringer Chamen_US
dc.subjectSchedule Risk Analysisen_US
dc.subjectStatistical Project Controlen_US
dc.subjectProject Dataen_US
dc.subjectResource-Constrained Project Schedulingen_US
dc.subjectProject Managementen_US
dc.subjectProject Schedulingen_US
dc.subjectAnalytical Project Controlen_US
dc.subjectMachine Learningen_US
dc.titleThe Illusion of control: Project data, computer algorithms and human intuition for project management and controlen_US
dc.source.numberofpagesXIV, 330en_US
dc.contributor.departmentGhent University (Belgium)en_US
dc.contributor.departmentUCL School of Management at University College London (UK)en_US
vlerick.knowledgedomainOperations & Supply Chain Managementen_US
vlerick.typebookBook - Authoren_US
vlerick.vlerickdepartmentTOMen_US
dc.identifier.vperid58614en_US


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