COPIB - Community Of Practice for Innovation in Bio-inspired management 

 COPIB is developed, managed by eSpirl. COPIB contributes to conscious, intentional evolution by augmenting the collective intelligence and wisdom of people, organisations, and society in the disciplines of Bio-inspired, leadership, social media and complexity sciences. COPIB enables innovation of sustainable management and leadership solutions by emulating nature’s time-tested patterns and strategies.COPIB uses knowledge of biology and biological systems reinforce managers, administrators, and business leaders to innovate and solve management related challenges sustainably. By emulating 3.8 billion years of well-adapted technology, COPIB help innovators design sustainable products and processes that create conditions conducive to all life.

Mission : 

@ Learn,share,nurture the methods, tools and approaches that enable innovation in Bio-Inspired management processes and systems, leadership, social media and complexity science.

@ Creating a sustainable, ecofriendly  business  environment, Design from Nature

@ Share different management practices that promote innovation

@ Collaborate and improve these new forms of management, methods and tools that support them

@ Create a learning community

Foucus Areas :

Organisation as Organism 

The image of an organism seeking to adapt and survive in a changing environment offers a powerful perspective for managers who want to help their organizations flow with change. The metaphor helps us to understand organizations as clusters of interconnected human, business, and technical needs. It encourages us to learn about the art of corporate survival. It urges us to develop vibrant organic systems that remain open to new challenges. Achieving congruence with the environment becomes a key managerial task.

Nature’s laws for business

Life’s principles outline strategies for thriving under the operating conditions on earth biomimetic design. The mimicry/replication of general patterns and processes found in nature based on life's principles is the prime aspect of bio-inspired management

Social Biomimicry

Studying organizations as complex systems and defining organizational principles from the social behavior of organisms, such as the flocking behavior of birds, optimization of ant foraging and bee foraging, and the swarm intelligence (SI)-based behavior of a school of fish, and Selfish Herd model. The collective behavior and nest architecture of social insects can inspire more efficient and sustainable solutions to human problems

Bio-mimicry  Design

 Life has been performing design experiments on Earth's R&D lab for 3.8 billion years. What's flourishing on the planet today are the best ideas--those that perform well in context, while economizing on energy and materials. Whatever your company's design challenge, the odds are high that one or more of the world's 30 million creatures has not only faced the same challenge, but has evolved effective strategies to solve it.

Memetics

The discipline of memetics, which originated from the mid 1980s, provides an approach to evolutionary models of cultural information transfer based on the concept of the meme’ function the same way genes and viruses do, propagating through communication networks and direct contact between individuals. Richards Dawkins defined the Meme’ as a unit of cultural transmission, or a unit of imitation and replication.  Meme’ that propagate less prolifically may become extinct, while others may survive, spread, and mutate. Meme’ refers to a core value system, acting as an organizing principles. Meme’ expresses itself as self-propagating ideas, habits, or cultural practices. The mimetic approach is a tool that helps us to understand certain aspects of human behavior.

Public relations, advertising, and marketing professionals have embraced internet Meme’ as a form of viral marketing to create marketing buzz for their products or services.  Meme’ leverages existing social networks by encouraging customers, vendors, dealers, agents and other stakeholders to share product information. Using Meme’ for focused and targeted marketing is advantageous to both the merchant and the consumer, who would benefit from learning about new products.

Emergence

Emergence is the way complex systems and patterns arise out of a multiplicity of relatively simple interactions. Emergence is central to the theories of integrative levels and of complex systems
The World Wide Web is a popular example of a decentralized system exhibiting emergent properties. There is no central organization rationing the number of links, yet the number of links pointing to each page follows a power law in which a few pages are linked to many times and most pages are seldom linked to. A related property of the network of links in the World Wide Web is that almost any pair of pages can be connected to each other through a relatively short chain of links. Example of emergence in web-based systems is social bookmarking

Complex adaptive systems

 The study of complex adaptive systems has yielded great insight into how complex, organic-like structures can evolve order and purpose over time. Business organizations, typified by semi-autonomous organizational members interacting at many levels of cognition and action, can be portrayed by the generic constructs and driving mechanisms of complex adaptive systems theory.

 Chaordic organizations

A chaord is any organism, organization, or system that is self-organized, self-governed, adaptable, non-linear, complex chaordic means characterized by the fundamental principles of nature and evolution.

Biologically inspired computing

It is a field of study that loosely knits together subfields related to the topics of connectionism, social behavior, and emergence.

Virtual organizations, virtual teams

Like organizations in the natural world, successful organizations evolve appropriate structures and processes for dealing with the challenges of their external environment by virtual organizations, virtual teams

Learning organization

Organization, like a living organism will naturally be a Learning organization absorbing and reacting to information in an evolutionary manner. Organizational learning is an activity and the process by which organizations evolve to attain the ideal of learning organization.

Autopoietic systems

Study the characteristics of autopoietic systems in order to provide a more provide comprehensive theorization of organizational structures within the domain of the organizational constructionist perspective. Biological view of knowledge and organizations formulated to provide a framework for understanding organizational knowledge and organizational knowledge management systems.

Symbiosis

Symbiosis  is close and often long-term interactions between different biological species. Describe the mutualistic relationship in lichens. The definition of symbiosis is in flux,and the term has been applied to a wide range of biological interactions. The symbiotic relationship may be categorized as mutualistic, commensal, or parasitic in nature. In symbiotic relationship, companies cooperate by sharing technology, management, financial resources, and markets. Joint ventures remain the most visible and common mode of inter-organization cooperation
 Invasive species

Invasive species bring major natural change. Studying such disruption can yield useful lessons for innovators in business. Products tend to create or stimulate new markets. New markets promote product innovation.

Organizational ecology

Organizational ecology (also organizational demography and the population ecology of organizations) is a theoretical and empirical approach in the social sciences that is especially used in organizational studies. Organizational ecology utilizes insights from biology, economics, and sociology, and employs statistical analysis to try and understand the conditions under which organizations emerge, grow, and die. 

Social Network Analysis

Involves studying systems range from social insects over reptiles to birds, cetaceans, ungulates and primates in order to illustrate the wide-ranging applications of network analysis. Social network analysis of animal behaviour. it is a promising tool for the study of sociality.Social network analysis offers tools to identify group social traits, and so offers a way to gain novel insights into higher-level selection processes by identifying which network characteristics are important for group success.

  Adaptive Business Intelligence

 The term adaptive business intelligence can be defined as the discipline of using prediction and optimization techniques to build self- -learning decisioning systems (as the above diagram shows). Adaptive business intelligence systems include elements of data mining, predictive modeling, forecasting, optimization, and adaptability, and are used by business managers to make better decisions.

 Fractals in Organizations

Approximate fractals are easily found in nature. These objects display self-similar structure over an extended, but finite, scale range. Examples include clouds, river networks, fault lines, mountain ranges, craters,snow flakes,crystals,lightning, cauliflower or broccoli, and systems of blood vessels and pulmonary vessels, and ocean waves. DNA and heartbeat can be analyzed as fractals. Even coastlines may be loosely considered fractal in nature. Trees and ferns are fractal in nature and can be modeled on a computer by using a recursive algorithm. This recursive nature is obvious in these examples—a branch from a tree or a frond from a fern is a miniature replica of the whole: not identical, but similar in nature. The connection between fractals and leaves is currently being used to determine how much carbon is contained in trees. Fractals are applied in Networks and organizations structure.