The Illusion of Control: Project Data, Computer Algorithms and Human Intuition for Project Management and Control

Vanhoucke, Mario

The Illusion of Control: Project Data, Computer Algorithms and Human Intuition for Project Management and Control
  • 出版商: Springer
  • 出版日期: 2024-07-05
  • 售價: $2,960
  • 貴賓價: 9.5 折 $2,812
  • 語言: 英文
  • 頁數: 330
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031317874
  • ISBN-13: 9783031317873
  • 相關分類: 專案管理 PM、Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

商品描述

This 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.


商品描述(中文翻譯)

本書全面評估了專案數據在專案排程、風險分析和控制中的日益重要性。它討論了專案數據對研究者和專業人士的相關性，並說明為什麼收集、處理和使用這些數據並不像大多數人想的那麼簡單。本書的主題在文獻中被稱為數據驅動的專案管理，並包括使用計算機算法、人類直覺和專案數據來管理風險下的專案的討論。

本書回顧了數據驅動專案管理的基本組成部分，總結了當前最先進的方法論，包括最新的計算機和機器學習算法以及統計方法，針對專案風險和控制。它強調了人工專案數據對學術界的重要性，並描述了這些數據必須滿足的具體要求。接著，本書討論了各種可用的統計方法來生成這些人工數據，並展示了它們如何幫助研究者開發算法和工具，以改善專案管理中的決策。

此外，本書從專業的角度檢視專案數據的相關性，並描述專業人士應如何收集實證專案數據以促進更好的決策。最後，本書介紹了一種新的數據收集、生成和分析方法，以創建專案數據庫，使其對學術研究者和專業專案經理都具有相關性。

作者簡介

Prof. Mario Vanhoucke is a Professor at Ghent University (Belgium), Vlerick Business School (Belgium) and UCL School of Management at University College London (UK). He teaches courses on Project Management, Applied Operations Research and Decision-making for Business. His research interests lie in the integration of project scheduling, risk management, and project control, which has led to more than 100 papers in international journals, five project management books published by Springer, and a PM Knowledge Center for online learning (www.pmknowledgecenter.com). His research has received multiple awards, e.g. from the PMI Belgium and the IPMA.


作者簡介(中文翻譯)

馬里奧·范霍克教授是比利時根特大學、比利時弗萊里克商學院以及英國倫敦大學學院管理學院的教授。他教授的課程包括專案管理、應用運籌學和商業決策。他的研究興趣集中在專案排程、風險管理和專案控制的整合，已在國際期刊上發表超過100篇論文，出版了五本由Springer發行的專案管理書籍，以及一個線上學習的PM知識中心（www.pmknowledgecenter.com）。他的研究獲得了多項獎項，例如來自比利時PMI和IPMA的獎項。

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