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on organizational level.
Based on Andy lane, 2002 , " systems thinking , principles and practice"
Complexity is a situation that is too rich and varied for us to understand in simple common mechanistic or linear ways. Complex situation is one with interconnected and intricate parts.
Complexity is something we experience and thus what is complex will differ depending on who is experiencing – this is sometimes described as perceived complexity.
Complexity is a term that is contested by different interest. As yet we do not have the right language to speak about the range of concepts to which complexity is attributed.
Complexity means something that exists and can be discovered, measured, modeled, manipulated, maintained or predicted. Complexity is used to describe a new way of thinking and help for learning.
Organizational complexity is the new normal, driven by growth, globalization and disruptive technologies; properly addressing it requires time and focus. In order to do it decisively and sustainably, holistic thinking approach takes business fundamentals such as corporate strategy and operating model into account to ensure that we understand its root causes. We then address each one of these causes simultaneously with focused, practical recommendations and pragmatic incentives for both management and the frontline.
There’s no questioning the fact that companies today are faced with growing complexity. Environmental, political, and competitive changes conspire to create a challenging and complex operating environment.
In response to these ever evolving pressures, companies often try to mirror external complexity in their internal environments. For example, they may respond to more sophisticated customer demands by creating tailored products and services. They may address the need for cost cutting and innovation by building matrix organizational structures. They may attempt to add new processes to address evolving market needs. In isolation, each of these responses makes sense, but in combination, they can significantly affect organizational performance. In the current business environment, there are several common causes of complexity: a proliferation of products and/or services, inconsistent and overlapping processes, misaligned incentives, byzantine organizational structures, and poorly articulated strategies, often in some form of combination.
How should organizations deal with complexity?
The answer depends on the type of complexity being considered. Some complexity provides competitive differentiation; this is good complexity and should be optimized. Most complexity, however, does not add value and needs to be reduced or eliminated.
More things interlinked with each other is basically be seen as complex to segregate and look for a solution for the problem.
Issues causing may be
- misunderstanding
- miscommunication
- don't want to understand
- creating wantedly
- wrong perception of things.
few causes i can think of. Thanks.
Definitions of complexity often depend on the concept of a "system"—a set of parts or elements that have relationships among them differentiated from relationships with other elements outside the relational regime. Many definitions tend to postulate or assume that complexity expresses a condition of numerous elements in a system and numerous forms of relationships among the elements. However, what one sees as complex and what one sees as simple is relative and changes with time
Complexity is generally used to characterize something with many parts where those parts interact with each other in multiple ways
Complexity in my opinion is the inability to perform tasks due to an external factor.
Causes are a lot,
- but i think bureaucracy is number 1
- depending on others to perform their job instead of finishing the whole task
- the cost of hiring experts
Complexity arises to to some of all of below:
Thanks for the invite I agree with the rest of the answers
Thanks for invitation
I amagreeing with my colleague’s answer Ms. Ghada Eweda
In several scientific fields, "complexity" has a precise meaning:
Other fields introduce less precisely defined notions of complexity:
Complexity has always been a part of our environment, and therefore many scientific fields have dealt with complex systems and phenomena. From one perspective, that which is somehow complex-—displaying variation without being random – is most worthy of interest given the rewards found in the depths of exploration.
The use of the term complex is often confused with the term complicated. In today's systems, this is the difference between myriad connecting "stovepipes" and effective "integrated" solutions.[10] This means that complex is the opposite of independent, while complicated is the opposite of simple.
While this has led some fields to come up with specific definitions of complexity, there is a more recent movement to regroup observations from different fields to study complexity in itself, whether it appears in anthills, human brains, or stock markets. One such interdisciplinary group of fields is relational order theories.
Complexity topicsThe behavior of a complex system is often said to be due to emergence and self-organization. Chaos theory has investigated the sensitivity of systems to variations in initial conditions as one cause of complex behaviour.
Recent developments around artificial life, evolutionary computation and genetic algorithms have led to an increasing emphasis on complexity and complex adaptive systems.
In social science, the study on the emergence of macro-properties from the micro-properties, also known as macro-micro view in sociology. The topic is commonly recognized as social complexity that is often related to the use of computer simulation in social science, i.e.: computational sociology.
Systems theory has long been concerned with the study of complex systems (in recent times, complexity theory and complex systems have also been used as names of the field). These systems are present in the research of a variety disciplines, including biology, economics, and technology. Recently, complexity has become a natural domain of interest of real world socio-cognitive systems and emerging systemics research. Complex systems tend to be high-dimensional, non-linear, and difficult to model. In specific circumstances, they may exhibit low-dimensional behaviour.
In information theory, algorithmic information theory is concerned with the complexity of strings of data.
Complex strings are harder to compress. While intuition tells us that this may depend on the codec used to compress a string (a codec could be theoretically created in any arbitrary language, including one in which the very small command "X" could cause the computer to output a very complicated string like "18995316"), any two Turing-complete languages can be implemented in each other, meaning that the length of two encodings in different languages will vary by at most the length of the "translation" language—which will end up being negligible for sufficiently large data strings.
In addition to the answer I would like to briefly list the factors that may cause complexity:
1. Broken communication skills
2. Weak negotiation
3. Unclear situation/problem
4. Interrelated tasks
5. Indirect communication
Thank You
thanks for invite agree with ms ghada answer
I completely agree with experts answer ..