Time Predictions
Understanding and Avoiding Unrealism in Project Planning and Everyday Life
Author(s)
Halkjelsvik, Torleif
Jørgensen, Magne
Language
EnglishAbstract
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.
Keywords
Behavioral/Experimental Economics; Human Resource Management; Project Management; Software Management; Behavioral Economics; Management; IT in Business; time predictions; human judgement; overoptimism; uncertainty; open acces; Behavioural economics; Personnel & human resources management; Business mathematics & systems; Business applicationsDOI
10.1007/978-3-319-74953-2Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
2018Imprint
Springer International PublishingSeries
Simula SpringerBriefs on Computing, 5Classification
Behavioural economics
Personnel and human resources management
Project management
Business mathematics and systems