 Applying the 15 complexity sciences: methods for studying emergence in organizationsAssociate Professor Benyamin Lichtenstein Chapter 24 in Handbook of Research Methods in Complexity Science, 2018, pp 525-544 from Edward Elgar Publishing Abstract: Complexity science has been described as an amalgam of ‘models, methods, and metaphors’ for understanding dynamic systems. Methods most commonly associated with complexity are computational simulations. Although these have contributed greatly to organization, they represent just one category of complexity methods. A main goal of this chapter is to introduce what the author considers to be the 15 sciences of complexity, organized into three main paradigms or approaches: computational agent-based modelling; natural sciences and idiographic analogies; and, narrative and multi-method studies. The chapter presents a set of complexity methods and models that may be much broader than the norm. Researchers can use these to help identify the appropriate complexity methods to use to answer a specific research question. The value of this is underlined by many scholars who argue that the choice of a research method should be based on the kind of question being asked, rather than the method most familiar to the researcher. Keywords: Business and Management; Geography; Innovations and Technology; Politics and Public Policy Research Methods; Urban and Regional Studies (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:16937_24 Ordering information: This item can be ordered from Access Statistics for this chapter More chapters in Chapters from Edward Elgar Publishing |
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