Social analytics framework for intelligent information systems based on a complex adaptive systems approach

2017 ◽  
Author(s):  
Somayeh Koohborfardhaghighi ◽  
Jörn Altmann ◽  
Konstantinos Tserpes
Keyword(s):  
Information Systems ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Systems Approach ◽  
Intelligent Information Systems ◽  
Social Analytics ◽  
Complex Adaptive ◽  
Intelligent Information

The crucial roles of the artificial information systems web in intelligent human organizations

2003 ◽  
Vol 22 (3) ◽  
pp. 115-124
Author(s):  
Liang Thow Yick
Keyword(s):  
Information Systems ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Collective Intelligence ◽  
Physical Structure ◽  
Current Status ◽  
Human Beings ◽  
Intelligent Structure ◽  
Complex Adaptive ◽  
Human Thinking

Human organizations with human beings as interacting agents are complex adaptive systems. Such organizations continuously consume information, make decisions, and evolve with the changing environment. In this respect, all human organizations including businesses must enhance their collective intelligence in order to learn faster and compete more effectively. Thus, adopting an intelligent structure is vital to all businesses as the world moves deeper into the knowledge economy. The paradigmatic shift in thinking, structure, management and operation requires all intelligent human organizations to be designed around intelligence. An intelligent structure encompasses an orgmind, an intangible deep component, as well as a physical component. At the physical structure perspective, being able to identify, design and develop an artificial information systems network that synchronizes well with the orgmind is critical. The connectivity of the organization, and the manner in which it behaves, communicates and collaborates, depend on the effectiveness of its information systems network and its orgmind. The orgmind which is at least the collection of all the interacting human thinking systems must be fully aware of both the internal and external environments. Inevitably, in the new economy, intelligent human organizations must be equipped with a well-integrated intelligent information network which functions similarly to the nervous system in biological beings. This study examines the current status of artificial information systems and their networks in businesses with respect to the above concepts.

scholarly journals A Transdisciplinary Complex Adaptive Systems (T-CAS) Approach to Developing a National School-Based Culture of Prevention for Health Improvement: the School Health Research Network (SHRN) in Wales

2018 ◽  
Vol 22 (1) ◽  
pp. 50-61 ◽  
Author(s):  
Simon Murphy ◽  
Hannah Littlecott ◽  
Gillian Hewitt ◽  
Sarah MacDonald ◽  
Joan Roberts ◽  
...  
Keyword(s):  
Complex Adaptive Systems ◽  
Health Research ◽  
Adaptive Systems ◽  
School Health ◽  
Systems Approach ◽  
Research Network ◽  
Health Improvement ◽  
Policy And Practice ◽  
Complex Adaptive ◽  
Culture Of Prevention

AbstractThe paper reflects on a transdisciplinary complex adaptive systems (T-CAS) approach to the development of a school health research network (SHRN) in Wales for a national culture of prevention for health improvement in schools. A T-CAS approach focuses on key stages and activities within a continuous network cycle to facilitate systems level change. The theory highlights the importance of establishing transdisciplinary strategic partnerships to identify and develop opportunities for system reorientation. Investment in and the linking of resources develops the capacity for key social agents to take advantage of disruption points in the re-orientated system, and engagement activities develop the network to facilitate new social interactions and opportunities for transdisciplinary activities. A focus on transdisciplinary action research to co-produce interventions, generate research evidence and inform policy and practice is shown to play an important part in developing new normative processes that act to self-regulate the emerging system. Finally, the provision of reciprocal network benefits provides critical feedback loops that stabilise the emerging adaptive system and promote the network cycle. SHRN is shown to have embedded itself in the system by securing sustainability funding from health and education, a key role in national and regional planning and recruiting every eligible school to the network. It has begun to reorient the system to one of evidence generation (56 research studies co-produced) and opportunities for data-led practice at multiple levels. Further capacity development will be required to capitalise on these. The advantages of a complex systems approach to address barriers to change and the transferability of a T-CAS network approach across settings and cultures are highlighted.

scholarly journals Close-to-nature silviculture in eastern Quebec: Advances over the last decade

2021 ◽  
pp. 1-13
Author(s):  
Robert Schneider ◽  
Laurie Dupont-Leduc ◽  
Vincent Gauthray-Guyénet ◽  
Nicolas Cattaneo ◽  
LaraMelo ◽  
...  
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Stand Structure ◽  
Systems Approach ◽  
Natural Disturbances ◽  
Management Scenarios ◽  
Forest Management Planning ◽  
Forest Resilience ◽  
Complex Adaptive ◽  
Harvesting Systems

The increase in intensity of the harvesting of eastern Quebec’s forests has resulted in profound compositional changes at the stand level. The composition and structure of presettlement stands provide key benchmarks when implementing ecosystem-based management (EBM). A core principle of EBM is the emulation of natural disturbances, and it is hypothesized that forest resilience will be maintained. Managers have thus adapted some of their silvicultural activities to better mimic the main natural disturbances in eastern Quebec. These adaptations include using variable retention harvesting systems instead of clear-cuts and converting even-aged stands. Nevertheless, other close-to-nature silvicultural practices must be developed, as gaps between managed and unmanaged stands persist. Most importantly, there is a need to consider global change within EBM, which could be accomplished by prioritizing forest functions rather than composition or structure when establishing silvicultural objectives. Elements of the complex adaptive systems approach to increasing forest resilience can be incorporated into the larger-scale EBM approach. This could be done by considering the functional complementarity of species, forest function, and stand structure in forest management planning. These efforts must not be constrained, however, to allowable annual cut calculations, as these are not sufficiently sensitive to compare different management scenarios.

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