Time Predictions Understanding and Avoiding Unrealism in Project Planning and Everyday Life /

• Những tác giả chính: Halkjelsvik, Torleif (Tác giả), Jørgensen, Magne (Tác giả)
• Tác giả của công ty: SpringerLink (Online service)
• Định dạng: Điện tử eBook
• Ngôn ngữ: Tiếng Anh
• Được phát hành: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Phiên bản: 1st ed. 2018.
• Loạt: Simula SpringerBriefs on Computing, 5
• Những chủ đề: Experimental economics.; Personnel management.; Project management.; Software engineering > Management.; Experimental Economics.; Human Resource Management.; Project Management.; Software Management.
• Truy cập trực tuyến: Link to Metadata

Tóm tắt

This book is published open access under a CC BY 4.0 license. Predicting the time needed to complete a project, task or daily activity can be difficult and people frequently underestimate how long an activity will take. This book sheds light on why and when this happens, what we should do to avoid it and how to give more realistic time predictions. It describes methods for predicting time usage in situations with high uncertainty, explains why two plus two is usually more than four in time prediction contexts, reports on research on time prediction biases, and summarizes the evidence in support of different time prediction methods and principles. Based on a comprehensive review of the research, it is the first book summarizing what we know about judgment-based time predictions. Large parts of the book are directed toward people wishing to achieve better time predictions in their professional life, such as project managers, graphic designers, architects, engineers, film producers, consultants, software developers, or anyone else in need of realistic time usage predictions. It is also of benefit to those with a general interest in judgment and decision-making or those who want to improve their ability to predict and plan ahead in daily life.

Mô tả vật lý

XII, 110 p. 12 illus., 11 illus. in color. online resource.

số ISBN

9783319749532

số ISSN

2512-1685 ;

DOI

10.1007/978-3-319-74953-2

Truy cập

Open Access