Narrow Results

The five earlier chapters introduced the basic foundation (co-existence of order and complexity, sensitive dependence on initial conditions, complexity <=> presence of in-determinism and unpredictability, necessities to change, the intelligence paradigmatic shift, structural reform, complex adaptive systems and dynamic, and some other fundamental and critical properties/characteristics involved) of the complexity theory and intelligent organization (IO) theory. This chapter introduces the global/holistic complexity-intelligence strategy (with two macro-paths) of the IO theory (although, some sub-strategies/models have been mentioned or partially analyzed in earlier chapters). The new strategy attempts to provide more comprehensive linkages and coverage on some specialized aspects indicating that human organizations must be led and managed differently in the current context because of high complexity density. In this chapter, three sub-strategies of the holistic complexity-intelligence strategy that is vital for nurturing highly intelligent human organizations (iCAS) are examined. They are namely, organizing around intelligence, nurturing an intelligent biotic macro-structure, and the integrated deliberate and emergent strategy.

The intelligence/conscious-centricity aspect begins with a deeper analysis on human level intelligence and consciousness, complexity, collective intelligence, org-consciousness and their associated dynamics relative to that of some other biological species (swarm intelligence), as well as other physical complex adaptive systems (CAS) characteristics. It has been observed that human interconnectivity, interdependency, selforganizing communications, truthful engagement, complex networks, collective intelligence, orgmindfulness, orgmind, and emergence can be significantly dissimilar. The four different perspectives of organizing around intelligence are examined.

Next, the intelligent biotic macro-structure (introduced earlier in Chapters 3 to 4) that resembles a highly intelligent biological being, and is more effective at exploiting information processing and knowledge accumulation, and a smarter evolver are more deeply scrutinized. There exists a high synchrony between organizing around intelligence and the presence of a biotic macro-structure. Thus, the advantages and significance for intelligent human organizations to possess such an inherent biotic macro-structure to better exploit certain biological and complexity associated characteristics and dynamics (including intelligence-intelligence linkage, complexity-centricity, complexity-intelligence linkage, more efficient natural decision-making node, information processing capability, learning and adaptation, knowledge acquisition and creation, organizational neural network, artificial node, and structural and dynamical coherency) to compete more effectively and efficiently in the current ‘raplexity’ context is also illustrated. In addition, the uniqueness and roles of artificial information systems (artificial nodes) is further examined.

Finally, the integrated deliberate and emergent strategy is scrutinized with respect to its significant association with the co-existence of order (deliberate planning, determinism, completeness and predictability) and complexity (continuous nurturing processes, in-determinism, unpredictability, unknown unknowns, risk management, new opportunity, crisis management, self-transcending constructions, futuristic and emergence) — in particular, highlighting the criticality of the deliberate and emergent auto-switch (better ambidexterity). Currently, the holistic integrated smarter evolver and emergent strategist approach is absent in most human organizations.

Fundamentally, effective leadership is associated with its ability to achieve collective goals (agents and their organization, stability-inducing capability) and organizational sustainability, irrespective of the nature of the organizations (leadership capacity <=> relational capacity <=> unifying capacity). The mismatch of the bureaucratic mindset and its associated hierarchical/administrative leadership with the changing situation is escalating. Basically, the presence of an adaptive leadership is beneficial. In this respect, the collectiveness capacity and relational capacity of the organization are critical attributes. It has been recognized that the intense and quality of these two capacities is highly dependent on both the thinking and attributes of the leaders, as well as the other interacting agents (including non-actors, and quality of leader–agents exchanges). Overall, a high leadership capacity and organizational mental cohesion is a key necessity. In general, the success of today’s global turbulence can only be achieved through global mental cohesion.

In order to achieve this, fresh insights beginning with constructive intelligence-intelligence linkages is required. In the present state, it is significant to note that for any categories of human organizations (economic, social, education, political, and military) their agents (employees, citizens, members, stakeholders) are possessing redefined attributes (principles, values and expectations), due to better education, quick access to information, and high interconnectivity. This profound transition (supported by intensive usage of mobile/social media technology) transformed some other attributes including autonomy/ independency, autopoiesis, self-centricity, self-organizing communications, interdependency, symbiosis, and other self-organizing capabilities. Consequently, current human beings are more sophisticated interacting agents. Hence, leading these ‘transformed’ agents is drastically different from leading traditional setups. Agent-centricity is a new vital attribute that required deeper attention, and one commonality among agents at all levels must be achieved — stability-centricity (agent-centricity <=> intelligence/consciousness-centricity + stability-centricity).

The more intelligent, complex adaptive, and nonlinear evolving dynamic is driven by the intrinsic intelligence/consciousness of the individuals, and the collective intelligence and org-consciousness of the organization (anticipatory, adaptive capacity), as well as local spaces/ complex networks — the presence of networks (formal and informal) is becoming more dominant, and this development renders elevating collectiveness capacity (consensus and collaboration) at organizational level more complex. Apparently, coupled with the influence of the knowledge-intensive, fast-changing, more complex environment, and the modified agents’ attributes, an immense shift in strategic thinking, leadership attributes, governance characteristics, management abilities and operational style in the new generation of leaders is inevitable. In general, the leader–follower gap has been narrowed, and their relationship (relational parameter) is more complex and nonlinear, again, confirming that intelligence/consciousness-centricity must be a key focus of the new leadership.

In such a situation, a deeper insight into complexity is inevitable. In this case, a better comprehension of leadership strategy and organizational dynamic can be acquired by ‘bisociating’ some properties of the complexity theory, and the different perspectives of complexity-intelligence linkages. The resulting evolutionary model to be introduced in this chapter is the intelligence leadership theory/strategy for iCAS. In this model, an intelligence leader must recognize that a fundamental capability of intelligence is stability enhancement. Concurrently, an intelligence leader must be an effective lateral/collective actor (always encompassing agent-agent, intelligence-intelligence, agent-network, agent-system, and network-system linkages; and the intrinsic leadership capacity of all agents, and collective leadership capacity of networks and the organization) with a new set of attributes (encompassing enabler, smarter evolver, and unifying, emergent strategist and synergist capabilities).

Hence, an effective intelligence leader must possess certain relevant or appropriate attributes of the traditional leadership, as well as a set of new complexity-intelligence related attributes that can better ensure the survival of the agents, integrate networks, and elevate the resilience, and sustainability of the organization (achieving higher coherency, synergy, constructionist effect, self-organizing capacity, emergence-intelligence capacity, unifying capacity and organizational mental cohesion) — (constructionist effect <=> innovation and creativity) — that is, focusing on continuous acquisition of capacities improvement is critical. In addition, with this paradigmatic shift, possessing the latent leadership capability is highly beneficial.

The first section of this chapter is an introduction to relativistic complexity (a significant component of the intelligent organization theory). The presence of intense intelligence/consciousness-centricity and 3^rd order stability-centricity in the human world renders complexity relativistic. The impact of the human mental space is so tremendous that complexity is in the mind of the beholder, and predictability becomes highly subjective. In this situation, the state of relativistic static equilibrium may be beneficial. Certain spaces of complexity appear as spaces of relativistic order with surface patterns becoming more apparent. Such spaces must be creatively explored and exploited (higher exploratory capacity) leading to a more advanced level of intelligence advantage. In this respect, effective self-transcending constructions, high self-organizing capacity and emergence-intelligence capacity are significant attributes that the new leadership and governance system in intelligent human organizations must exploit. Holistically, the two strategies focus on concurrent exploitation of intelligence/consciousness-centricity and relative complexity, and optimizing the more comprehensive contributions of the integrated deliberate and emergent strategy.

Many issues/problems that present human organizations (nations, political systems, communities, business organizations, markets) are encountering due to accelerating changes (mindset, thinking, values, perceptions, expectations, redefined boundaries and high interactive dynamics) that cannot be well-managed with traditional knowledge and hierarchical practices are affecting governance and governance systems. Fundamentally, governance deals with power, interest, and conflict. The traditional governance systems are hierarchical, highly directed, controlled and managed, and the relational aspect has not been allocated sufficient priority resulting in extensive disparities. In the current complex dynamical and high interdependency environment, its weaknesses and constraints are highly apparent. The latter includes ‘space-time compression’; incoherency in thinking, values, perceptions, and expectations between the leadership and the other agents; diversification in stakeholders’ needs not accommodated; and constraints of current governance theories. Thus, a new theory that provides a more ‘realistic’ foundation is essential for deeper contemplation.

Primarily, recognizing the inherent strengths of human agents and the fundamental constraints/weaknesses of human organizations is a key foundation towards better adaptation, leadership, governance, resilience and sustainability. In all human organizations, the agents are intrinsic intense intelligence/consciousness sources that could easily transform their behavioral schemata. This observation contradicts the Newtonian/design paradigm, as the organizational dynamic of human agents is complex, nonlinear, constantly/continuously changing with limited predictability. In addition, human agents are self-centric, self-powered, stability-centric, independent and interdependent, network-centric and self-organizing due to high awareness. In this situation, high self-organizing capacity and emergence-intelligence capacity are new niches. However, this phenomenon can create new opportunities, innovation, and elevates competiveness; or destruction.

In particular, effective leadership and governance are spontaneously emerging key requirements in all human groupings — a primary trait for human collective survival. Historically, many organizations disintegrated because of the weaknesses in leadership and governance. Currently, with more knowledge-intensive and higher participative new agents (self-powered intrinsic leadership) possessing modified attributes that are dissimilar from the older generations (also due to the deeper integration of the economic, social, political, and environmental perspective), reduces consensus and collaboration, and renders governance and leadership even more nonlinear or dysfunctional. In particular, the traditional governance systems of more organizations are manifesting their constraints and incompetency, including incoherency due to new values and cultural pressure, and the wider spread of self-organizing networks. The emergent of informal networks is a more commonly observed phenomenon worldwide. Apparently, a deeper comprehension on the diminishing effect of the traditional organizational thinking (political, social, economic), governance capacity, precise strategic planning, decision making, hierarchical structure, communications and engagement, empowerment leadership, management, operations, and the highly nonlinear relational parameter is essential. Apparently, new principles of governance must emerge (intelligent human organization > thinking system + feeling system).

The new paradigmatic path of the intelligence governance strategy that exploits intelligence/consciousness-centricity, complexity-centricity, and network-centricity concurrently, introduces a new basic strategic path towards better adaptive governance and acceptance governance. The latter focuses on integrating self-powered self-organizing governance, reducing direct governance, and increasing e-governance and network-centric governance as a new necessity. In this case, the merits of adopting the intelligence leadership strategic approach simultaneously are more apparent. Hence, the new governance focal points must include more and better interconnected actors, the critical ability of self-organizing communications (supported by mobile/social media development), immersion of leadership nodes in networks (better exploitation of e-governance), increasing coherency of complex networks (exploiting interdependency of network of networks, and better network management), and elevating self-transcending constructions capability (higher self-organizing governance capacity and emergence-intelligence capacity) that better facilitates emergence through multi-level and ‘multi-lateral’ dynamics (complex adaptive networks <=> intelligent networks). Thus, the intelligence governance strategy emphasizes that mass lateral collectivity (acceptance governance) rather than selective enforced hierarchical empowerment as the more constructive approach in the present contact. In particular, the stabilityinducing role of leaders and institutions are critical. Apparently, optimizing the ‘everybody is in charge’ phenomenon (whenever necessary) is a more viable option.

The chapter concludes the book by illustrating the potential of extending the boundaries of the intelligence mindset and its space of innovation and creativity. Some theories that could be integrated subsequently are mentioned briefly. In addition, a holistic view (new knowledge creation) of the intelligence paradigm, the complexity-intelligence strategy, and the intelligent organization theory is summarized through recollecting and amalgamating the various normative attributes, concepts, perspectives and strategies analyzed. Organizing around intelligence (including intelligence/consciousness management, complexity management and network management), and the integrated deliberate and emergent strategy (exploitation of the co-existence of order and complexity) are the (holistic) fundamental strategies that must be exploited in the present environment. Due to the current high complexity and nonlinearity, this paradigmatic shift is apparently beneficial. As indicated earlier, properties of complex adaptive systems and the complex adaptive dynamic must be better comprehended and exploited by all human organizations to elevate competitiveness, resilience and sustainability.

In summary, the intelligent organization theory introduced in this book contains concepts and ideas (including intelligence/consciousness-centricity, complexity-centricity, network-centricity, intelligence-intelligence linkage, complexity-intelligence linkage, self-organizing capacity, emergence-intelligence capacity, coherency, synergy, constructionist effect and mental cohesion) that are more holistic, integrative, and accurate manifestations of humanity and its organizations and agents. Thus, it is highly critical for the leadership, governance, strategy, and management in rapidly changing environment. Primarily, it is a new significant complexity-intelligence-relational/network domain (a more inherent aspect of nature and this universe) that must be better comprehended and exploited by all human organizations. As indicated, the complexity-intelligence strategy of the intelligent organization theory encompasses numerous components, including organizing around intelligence, integrated deliberate and emergent strategy, general information theory, 3C-OK framework, intelligent person model, intelligent multi-layer structure model, intelligence leadership theory/strategy, intelligence governance theory/strategy, and relativistic complexity.

Fundamentally, the new thinking emphasizes the significance and linkages of the human intelligence/consciousness sources, and stabilitycentricity at all levels (agent-centric, network-centric and org-centric), co-existence of order and complexity, and the attributes of swift information decoders, smarter evolvers and emergent strategists. The strategies and models/frameworks of the intelligent organization theory that focus on structuring, nurturing, leading, and governing/managing of highly intelligent human organizations (iCAS) that are orchestrated by the highly intelligent complex adaptive dynamic (iCAD) are briefly recaptured. Ultimately, it is the intention of the author that an omniscient understanding of this book will instill in leaders and actors the new critical intelligence advantage.

This chapter contains role of women in disaster resilience from women’s response perspective to natural disasters, adaptive and recovery capacity. During disaster a kind of functional disorder gets created where women had to face challenges different from men. Government and donor-led programs contribute to improve their ability where social networks help to combat the disasters. Women used to play a significant role towards disaster resilience by harnessing different means and methods available around them. Although they are not getting often proper support from the external agencies but their indigenous recovery and coping attitudes are commendable. Women empowerment through involvement with communitybased organizations (CBOs) and NGOs, and their adoption with disaster resilient livelihoods significantly contribute to developing resilient communities. The study suggests that without the full participation and contribution of women in decision-making and leadership, real community resilience to disasters may not be achieved. Community, therefore, needs to recognize the productive and constructive role of women to encourage them to move forward and to share their knowledge and experiences in disaster planning and management to build their community a resilient one.