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oapen-20.500.12657-429032020-11-14T01:45:14Z Time Predictions Halkjelsvik, Torleif Jørgensen, Magne 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 applications bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCK Behavioural economics bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas::KJMV2 Personnel & human resources management bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMP Project management bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJQ Business mathematics & systems 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. 2020-11-13T13:34:28Z 2020-11-13T13:34:28Z 2018 book ONIX_20201113_9783319749532_9 https://library.oapen.org/handle/20.500.12657/42903 eng Simula SpringerBriefs on Computing application/pdf n/a 2018_Book_TimePredictions.pdf https://www.springer.com/9783319749532 Springer Nature Springer International Publishing 10.1007/978-3-319-74953-2 10.1007/978-3-319-74953-2 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer International Publishing 5 110 open access
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OAPEN
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English
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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.
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2018_Book_TimePredictions.pdf
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2018_Book_TimePredictions.pdf
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2018_Book_TimePredictions.pdf
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2018_book_timepredictions.pdf
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Springer Nature
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2020
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https://www.springer.com/9783319749532
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1771297482023632896
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