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Complexity theory and organizations, also called complexity strategy or complex adaptive organizations, is the use of the study of complexity systems in the field of
strategic management In the field of management, strategic management involves the formulation and implementation of the major goals and initiatives taken by an organization's managers on behalf of stakeholders, based on consideration of Resource management, resour ...
and organizational studies. It draws from research in the natural sciences that examines uncertainty and non-linearity. Complexity theory emphasizes interactions and the accompanying
feedback Feedback occurs when outputs of a system are routed back as inputs as part of a chain of cause-and-effect that forms a circuit or loop. The system can then be said to ''feed back'' into itself. The notion of cause-and-effect has to be handled ...
loops that constantly change systems. While it proposes that systems are unpredictable, they are also constrained by order-generating rules. Complexity theory has been used in the fields of
strategic management In the field of management, strategic management involves the formulation and implementation of the major goals and initiatives taken by an organization's managers on behalf of stakeholders, based on consideration of Resource management, resour ...
and organizational studies. Application areas include understanding how organizations or firms adapt to their environments and how they cope with conditions of uncertainty. Organizations have complex structures in that they are dynamic networks of interactions, and their relationships are not aggregations of the individual static entities. They are adaptive; in that, the individual and
collective behavior The expression collective behavior was first used by Franklin Henry Giddings and employed later by Robert Park and Ernest Burgess, Herbert Blumer, Ralph H. Turner and Lewis Killian, and Neil Smelser to refer to social processes and events w ...
mutate and self-organize corresponding to a change-initiating micro-event or collection of events.


Key concepts


Complex adaptive systems

Organizations can be treated as complex adaptive systems (CAS) as they exhibit fundamental CAS principles like self-organization,
complexity Complexity characterises the behaviour of a system or model whose components interaction, interact in multiple ways and follow local rules, leading to nonlinearity, randomness, collective dynamics, hierarchy, and emergence. The term is generall ...
,
emergence In philosophy, systems theory, science, and art, emergence occurs when an entity is observed to have properties its parts do not have on their own, properties or behaviors that emerge only when the parts interact in a wider whole. Emergence ...
, interdependence, space of possibilities, co-evolution, chaos, and self-similarity. CAS are contrasted with ordered and chaotic systems by the relationship that exists between the system and the agents which act within it. In an ordered system the level of constraint means that all agent behavior is limited to the rules of the system. In a chaotic system, the agents are unconstrained and susceptible to statistical and other analyses. In a CAS, the system and the agents co-evolve; the system lightly constrains agent behavior, but the agents modify the system by their interaction with it. This self-organizing nature is an important characteristic of CAS; and its ability to learn to adapt, differentiate it from other self-organizing systems. Organizational environments can be viewed as complex adaptive systems where
coevolution In biology, coevolution occurs when two or more species reciprocally affect each other's evolution through the process of natural selection. The term sometimes is used for two traits in the same species affecting each other's evolution, as well ...
generally occurs near the edge of chaos, and it should maintain a balance between flexibility and stability to avoid organizational failure. As a response to coping with turbulent environments; businesses bring out flexibility, creativity,
agility Agility or nimbleness is an ability to change the body's list of human positions, position quickly and requires the integration of isolated movement skills using a combination of balance (ability), balance, coordination (physiology), coordination ...
, and innovation near the edge of chaos; provided the organizational structure has sufficient decentralized, non-hierarchical network structures.


Implications for organizational management

CAS approaches to strategy seek to understand the nature of system constraints and agent interaction and generally takes an evolutionary or naturalistic approach to strategy. Some research integrates computer simulation and organizational studies.


Complexity theory and knowledge management

Complexity theory also relates to knowledge management (KM) and organizational learning (OL). "Complex systems are, by any other definition, learning organizations." Complexity Theory, KM, and OL are all complementary and co-dependent. “KM and OL each lack a theory of how cognition happens in human social systems – complexity theory offers this missing piece”.


Complexity theory and project management

Complexity theory is also being used to better understand new ways of doing project management, as traditional models have been found lacking to current challenges. This approaches advocates forming a "culture of trust" that "welcomes outsiders, embraces new ideas, and promotes cooperation."


Recommendations for managers

Complexity Theory implies approaches that focus on flatter, more flexible organizations, rather than top-down, command-and-control styles of management.


Additional examples

A typical example for an organization behaving as CAS is Wikipedia – collaborated and managed by a loosely organized management structure, composed of a complex mix of human–computer interactions. By managing behavior, and not only mere content, Wikipedia uses simple rules to produce a complex, evolving knowledge base which has largely replaced older sources in popular use. Other examples include the complex global macroeconomic network within a country or group of countries;
stock market A stock market, equity market, or share market is the aggregation of buyers and sellers of stocks (also called shares), which represent ownership claims on businesses; these may include ''securities'' listed on a public stock exchange, as ...
and complex web of cross-border holding companies; manufacturing businesses; and any human social group-based endeavor in a particular
ideology An ideology is a set of beliefs or philosophies attributed to a person or group of persons, especially those held for reasons that are not purely epistemic, in which "practical elements are as prominent as theoretical ones." Formerly applied pri ...
and social system such as
political parties A political party is an organization that coordinates candidates to compete in a particular country's elections. It is common for the members of a party to hold similar ideas about politics, and parties may promote specific ideological or pol ...
,
communities A community is a Level of analysis, social unit (a group of living things) with commonality such as place (geography), place, Norm (social), norms, religion, values, Convention (norm), customs, or Identity (social science), identity. Communiti ...
, geopolitical organizations, and terrorist networks of both hierarchical and leaderless nature. This new macro level state may create difficulty for an observer in explaining and describing the collective behavior in terms of its constituent parts, as a result of the complex dynamic networks of interactions, outlined earlier.


See also

* Complexity theory (disambiguation) *
Cynefin The Cynefin framework ( ) is a conceptual framework used to aid decision-making. Created in 1999 by Dave Snowden when he worked for IBM Global Services, it has been described as a "Sensemaking, sense-making device". ''Cynefin'' is a Welsh languag ...
Centre for Organisational Complexity * The Santa Fe Institute * Global brain * Self-organization * The New England Complex Systems Institute * Ralph Douglas Stacey * Complex Adaptive Leadership


References


Further reading

* Axelrod, R. A., & Cohen, M. D., 2000. ''Harnessing Complexity: Organizational Implications of a Scientific Frontier.'' New York: The Free Press * Yaneer Bar-Yam (2005). ''Making Things Work: Solving Complex Problems in a Complex World.'' Cambridge, MA: Knowledge Press * Beautement, P. & Broenner, C. 2010
Complexity Demystified: A Guide for Practitioners
Originally published in Axminster: Triarchy Press *Biermann, F. & Kim, R.E. (Eds). 2020. ''Architectures of Earth System Governance: Institutional Complexity and Structural Transformation''. Cambridge University Press. * Brown, S. L., & Eisenhardt, K. M. 1997. The Art of Continuous Change: Linking Complexity Theory and Time-paced Evolution in Relentlessly Shifting Organizations. ''Administrative Science Quarterly'', 42: 1–34 * Burns, S., & Stalker, G. M. 1961. The Management of Innovation. London: Tavistock Publications * Davis, J. P., Eisenhardt, K. M., & Bingham, C. B. 2009. Optimal Structure, Market Dynamism, and the Strategy of Simple Rules. ''Administrative Science Quarterly'', 54: 413–452 * De Toni, A.F., Comello, L., 2010. Journey into Complexity. Udine: Lulu Publisher * Fonseca, J. (2001). Complexity and Innovation in Organizations. London: Routledge * Douma, S. & H. Schreuder, Economic Approaches to Organizations, 6th edition, Harlow: Pearson. * Gell-Mann, M. 1994. The Quark and the Jaguar: Adventures in the Simple and the Complex. New York: WH Freeman * Kauffman, S. 1993. ''The Origins of Order''. New York, NY: Oxford University Press. * Levinthal, D. 1997. Adaptation on Rugged Landscapes. ''Management Science'', 43: 934–950 * Liang, T.Y. 2016. Complexity-Intelligence Strategy: A New Paradigmatic Shift. Singapore: World Scientific Publishing. * March, J. G. 1991
Exploration and Exploitation in Organizational Learning
''Organization Science'', 2(1): 71–87 * McKelvey, B. 1999. Avoiding Complexity Catastrophe in Coevolutionary Pockets: Strategies for Rugged Landscapes. ''Organization Science'', 10(3): 249–321 * McMillan, E. 2004 Complexity, Organizations and Change. Routledge. Hardback. Paperback * Moffat, James. 2003. Complexity Theory and Network Centric Warfare. * Obolensky N. 2010 Complex Adaptive Leadership - Embracing Paradox and Uncertainty * Perrow, C. Complex Organizations: A Critical Essay Scott, Forseman & Co., Glenville, Illinois * Rivkin, J., W. 2000. Imitation of Complex Strategies. ''Management Science'', 46(6): 824–844 * Rivkin, J. and Siggelkow, N. 2003. Balancing Search and Stability: Interdependencies Among Elements of Organizational Design. ''Management Science'', 49, pp. 290–311 * Rudolph, J., & Repenning, N. 2002. Disaster Dynamics: Understanding the Role of Quantity in Organizational Collapse. ''Administrative Science Quarterly'', 47: 1–30 * Schilling, M. A. 2000. Toward a General Modular Systems Theory and its Applicability to Interfirm Product Modularity. ''Academy of Management Review'', 25(2): 312–334 * Siggelkow, S. 2002. Evolution toward Fit. ''Administrative Science Quarterly'', 47, pp. 125–159 * Simon, H. 1996 (1969; 1981) The Sciences of the Artificial (3rd Edition) MIT Press * Smith, Edward. 2006. Complexity, Networking, and Effects Based Approaches to Operations] by Edward * Snowden, D.J. Boone, M. 2007. "A Leader's Framework for Decision Making". Harvard Business Review, November 2007, pp. 69–76. * Weick, K. E. 1976. Educational Organizations as loosely coupled systems. ''Administrative Science Quarterly'', 21(1): 1–19 {{DEFAULTSORT:Complexity Theory And Organizations Complex systems theory Systems science Business economics * Technology strategy