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2023 | OriginalPaper | Buchkapitel

4. Definitions of Complexity

verfasst von : Johannes Strikwerda

Erschienen in: Organized Complexity in Business

Verlag: Springer International Publishing

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Abstract

In the multiplicity of definitions of complexity, this chapter elaborates on different types of complexity. The system definition of complexity focuses on how complex systems work, whereas the cybernetic definition of complexity explains how in complex systems goals are achieved, including survival in changing circumstances. Various types of non-linear causalities are introduced. The latter provides a link with concepts used in management and organization, especially the issue of in-control. Because control is programmed at multiple levels in society and organization, the concept of culture is opened up beyond its usual simulacra. Beniger’s four levels of control are related to complexity via the complexity of feedback. This chapter introduces concepts like dynamic objectivity, Kolmogorov complexity, detail complexity, subjective complexity, epistemic complexity, and generative complexity. This unearths some limitations to Ashby’s Law of requisite Variety. In addition to different definitions of complexity, this chapter presents a taxonomy of different types of complexity. Each of these types of complexity requires a different handling in order to cope with it, varying from mathematical modeling, to operational procedures, to reduction of complexity through growth of knowledge. Especially the difference between organized complexity, as to be used in business, and disorganized complexity is explained. This chapter lays a basis for dealing effectively with the various types of complexity. The idea of ICAS is consistent with the concept of the organic organization dating back to the sixties of the twentieth century. Now a better understanding, evaluation of that concepts is possible, as well as a better instrumentation. With that, the distinction between disorganized complexity and organized complexity is introduced. The growing complexity in the economy implies a shift from traditional, physical asset-based administrative instruments to information-based administrative instruments. With that, it becomes clear what Drucker’s concept of information-based organization is in administrative terms.

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Fußnoten
1
Axelrod and Cohen (1999).
 
2
Holland (2002).
 
3
Capra and Luisi (2014, p. 58).
 
4
Dijksterhuis (1950).
 
5
Ackoff et al. (2010).
 
6
Moldoveanu and Martin (2008).
 
7
Rosser (2010).
 
8
Boulding (1956).
 
9
See for a critique on reductionism, e.g., Gilder, p. 104.
 
10
Martin (2007).
 
11
Porter (1985), Hill (1988).
 
12
Sloterdijk (1998, 1999, 2003).
 
13
Beniger (1986).
 
14
Wiener (1961).
 
15
Bloch (1959).
 
16
Yoffie (1997).
 
17
Alberts and Hayes (2003).
 
18
Alberts and Hayes (2006), Alberts and Nissen (2009).
 
19
Beniger (1986, p. 40).
 
20
Beniger (1986, p. 35).
 
21
Beniger (1986, p. 35).
 
22
Beniger (1986, p. 66).
 
23
Beniger (1986, p. 103).
 
24
Seife (2006, pp. 93–94).
 
25
Fukuyama (2002).
 
26
Henderson and Venkatraman (1993).
 
27
Shpilberg et al. (2007), Davenport (1998).
 
28
Beniger (1986, p. 93).
 
29
Fukuyama (2011, p. 43).
 
30
Fukuyama (2011, p. 256).
 
31
Alhadeff-Jones (2008).
 
32
Mocker et al. (2014).
 
33
Leydesdorff (2000), Beck et al. (1996), Beck (1996), Bourdieu and Wacquant (1992).
 
34
Adami (2002).
 
35
Shannon and Weaver (1949).
 
36
Vercelli (2007).
 
37
Alhadeff-Jones (2008).
 
38
Strikwerda and Stoelhorst (2009), Campbell and Strikwerda (2013).
 
39
March (1994, p. 183).
 
40
Strikwerda (2010).
 
41
Strikwerda (2014).
 
42
Bower (1986).
 
43
Zuboff and Maxmin (2002).
 
44
Vercelli (2007).
 
45
Montuori (2000).
 
46
Levinson (1994), Montuori (2000).
 
47
Antonelli (2011b, p. 2), Simon (1996, p. 183). This distinction goes back to W. Weaver (1948).
 
48
Hayles (1991).
 
49
Von Hayek and Mihnea Moldoveanu (2007).
 
50
Deal and Kennedy (1982).
 
51
Kauffman (2008).
 
52
Antonelli (2011b).
 
53
Doz (2005).
 
54
Antonelli (2011b).
 
55
Bock (2015).
 
56
Parsons (1962).
 
57
Ackoff (1977), Galbraith (1994), Volberda (1998).
 
58
Lawler and Worley (2006).
 
59
Yolles discerns five types of complexity for social systems Yolles (2006, p. 35):
  • Computational complexity (number of interacting parts);
  • Technical complexity (involves a complex of ‘tangle’ of interactive control processes that affects predictability);
  • Organizational complexity (relating to the administration, governance and rules associated with identifiable parts of a system);
  • Personal complexity (relating to the complex of subjective views of a situation);
  • Emotional complexity (involving a complex ‘tangle’ of emotional involvement).
 
60
Weick (1982), Senge (1990).
 
61
Teece (2007).
 
62
Ismail et al. (2014), Ryall (2009).
 
63
Bennet and Bennet (2004, p. 26).
 
64
Simon (1962).
 
65
Burns and Stalker (1963).
 
66
Waal (2012).
 
67
McMaster (1996).
 
68
Wolfe (2016).
 
69
Bock (2015), McCord (2014).
 
70
http://www.keithrull.com/blog/wp-content/uploads/2013/01/netflix_culture.pdf
 
71
Pentland (2014).
 
72
Baum (1996).
 
73
Simon (1991).
 
74
Porter and Wayland (1992).
 
75
Bennet and Bennet (2004).
 
76
Nonaka and Takeuchi (1995).
 
77
Wilhelm and Downing (2001), Jensen (1998).
 
78
Antonelli (2011a).
 
79
Rosen (2004).
 
80
Foss and Michailova (2009).
 
81
Antonelli (2011a).
 
82
Sutcliffe and Weber (2003).
 
83
Bazerman and Moore (2009).
 
84
Pentland (2014, p. 36).
 
85
Pentland (2014, p. 35).
 
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Metadaten
Titel
Definitions of Complexity
verfasst von
Johannes Strikwerda
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-25237-2_4

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