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Digital Creativity

Overview of attention for book
Cover of 'Digital Creativity'

Table of Contents

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    Book Overview
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    Chapter 1 Creativity and Job Stress in the Korean ICT Industry: TMX and CHS as Antecedents
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    Chapter 2 Computer-Mediated Task Performance Under Stress and Non-stress Conditions: Emphasis on Physiological Approaches
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    Chapter 3 Pattern Analysis of the Creativity of a Digitalist Considering Its Antecedents and Task Diversity: A Multi-Agent Simulation Approach
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    Chapter 4 A Creative Generation Task Under Stress: Comparison of a Stress Group with a Non-stress Group
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    Chapter 5 Exploring the Revelation Process for Individual Creativity Based on Exploitation and Exploration: A Physiological Experiment Approach
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    Chapter 6 An Empirical Analysis of the Effect of Social and Emotional Intelligence on Individual Creativity Through Exploitation and Exploration
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    Chapter 7 Scenario-Based Management of Team Creativity in Sensitivity Contexts: An Approach with a General Bayesian Network
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    Chapter 8 A Longitudinal Analysis of Team Creativity Evolution Patterns Based on Heterogeneity and Network Structure: An Approach with Agent-Based Modeling
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    Chapter 9 Examining the Effect of Short-Term Robot-Mediated Training for Creativity Education
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    Chapter 10 Towards the “Digital Creativity of Action”
Attention for Chapter 1: Creativity and Job Stress in the Korean ICT Industry: TMX and CHS as Antecedents
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Citations

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Chapter title
Creativity and Job Stress in the Korean ICT Industry: TMX and CHS as Antecedents
Chapter number 1
Book title
Digital Creativity
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-5749-7_1
Book ISBNs
978-1-4614-5748-0, 978-1-4614-5749-7
Authors

Dae Sung Lee, Kun Chang Lee, Nam Yong Jo

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Business, Management and Accounting 2 67%
Computer Science 1 33%

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