DCSE (Digital Creativity Simulation Engine)
Kun Chang Lee
Additional contact information
Kun Chang Lee: Sungkyunkwan University
Chapter Chapter 4 in Digital Creativity Model and Its Relationship with Corporate Performance, 2016, pp 41-58 from Springer
Abstract:
Summary This chapter aims to provide explanation of detailed logics that are used in implementing the prototype named DCSE (Digital Creativity Simulation Engine). By showing critical parts of NetLogo source of the DCSE, I would like to suggest how recommendable the use of ABM is to investigate core processes existing between digital creativity and corporate performance. A number of theories and mathematical equations are addressed in this chapter, which are crucial for understanding how the DCSE works. For the sake of clear understanding of how the DCSE works and what it produces, the output analyses are provided with detailed logics and related screen snapshots.
Keywords: Digital creativity; Simulation engine; DCSE; S-curve; Connectivity; Output analysis; Diversity; Group creativity; Organizational knowledge level; Organizational creativity; Group efforts; Corporate performance; Cost function; Task complexity; Task analyzability; Task variety; Organizational performance; Group size; Individual knowledge; Network structures; Emergence results (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spbrcp:978-3-319-39991-1_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319399911
DOI: 10.1007/978-3-319-39991-1_4
Access Statistics for this chapter
More chapters in SpringerBriefs in Business from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().