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- Backström, Tomas, 1957-, et al.
(författare)
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Simulating the emergence of the organizing structures of work
- 2014
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Konferensbidrag (refereegranskat)abstract
- This article is a first step toward a visualization and classification system for studying dynamic organizing structures of work. As a first step toward this research objective, this study brings together two active projects. One called “relatonics” studies work group formation and is primarily empirical and inductive. The other called “Human Interaction Dynamics (HID)” imports concepts, relationships and modeling from complexity science and is therefore primarily theoretical and deductive. The vision is to use social media, data gathering, and process simulation technologies to rigorously describe, systematically visualize, and validly model the complex dynamics of work processes of different types. This work will serve as a means to classify, study and improve the performance of work systems. We describe our progress to data and suggest further research.
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- Hazy, James K., et al.
(författare)
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A complexity science model of social innovation in social enterprise
- 2010
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Ingår i: Journal of Social Entrepreneurship. - : Informa UK Limited. - 1942-0676 .- 1942-0684. ; 1:1, s. 101-125
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Tidskriftsartikel (refereegranskat)abstract
- A complexity science-based model for social innovation in social enterprises is presented. The three components of the model include: (1) representing the evolution of social innovation using nonlinear dynamical systems with accompanying parameters and attractors; (2) a cusp catastrophe model of bifurcation or the emergence of a new attractor; (3) the role of emergence in complex systems utilizing recombinatory operations. The model represents the emergence of social innovation as an evolving dynamical system governed by the interaction of two parameters. The first parameter is opportunity tension or the degree of coordination and organization on a collective level required to resolve social problems or take advantage of social opportunities. The second is informational differences having to do with the accessibility of information via social networks connecting key players in the social system under consideration. The informational differences parameter also refers to experiments in social novelty acting as seeds of the emergent social innovations. Since social innovation is understood as the emergence of a new attractor reflecting the social innovations, the new attractor is shown to replace an originary attractor representing inadequate 'business as usual' practices and social networks that have not been able to resolve the social problem or take advantage of the opportunity. At a critical threshold, the social system undergoes bifurcation as extant social components are recombined leading to the generation of novel social forms that can more sufficiently resolve the social problem or take advantage of the opportunity.
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- Hazy, James K., et al.
(författare)
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Human interaction dynamics (HID) : Foundations, definitions and directions
- 2013
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Ingår i: Emergence: Complexity and Organization. - United States : ISCE Publishing. - 1521-3250. ; 15:4, s. 91-111
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Tidskriftsartikel (refereegranskat)abstract
- This paper proposes an analytical framework for a complexity-informed theoretical approach to human interaction and organizations. In doing so, it addresses the increasing call for better theory supporting the microfoundations of social science. A key premise of the argument is that the primary imperatives of social actors are confronting uncertainty and adapting to change as a collective. As such, in addition to seeking requisite resources, human beings interact to gather and use information for their individual and collective benefit. The paper explores this perspective by proposing a complex systems model of organizing that differs from systems theory by placing the actors inside the system rather than assuming they act on the system. We propose a definition of information that enables us to explore the dynamics of human interaction as observers from the outside without necessarily knowing what the information means. This approach is analogous to how physical and biological systems are studied and is intended to complement, rather than replace existing approaches that tend to place their emphasis on inter-subjectivity and meaning-making rather than on the objective measurement of information as a physically measurable quantity
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