12 resultados para Complexity theory

em Deakin Research Online - Australia


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Purpose – The purpose of this paper is to describe how order-generated rules applied to organizing form dualities can assist in creating the conditions for emergent, self-organized behavior in organizations, thereby offering an operational deployment of complexity theory.

Design/methodology/approach – The paper begins by showing that the concept of dualities is consistent with complexity-thinking. In addition, when applied to organizing forms, dualities represent a practical way of affecting an organization's balance between chaos and order. Thus, when augmented with order-generating rules, organizing form dualities provide an access point for the practical instigation of edge of chaos conditions and the potential for emergence.

Findings
– The paper maintains that many attempts to “manage” complexity have been associated with changes to organizing forms, specifically toward new forms of organizing. It is suggested that organizing form dualities provide some management guidance for encouraging the “edge of chaos” conditions advocated in complexity theory, although the details of self-organization cannot be prescribed given the assumptions of non-linearity associated with complexity theory perspectives. Finally, it is proposed that organizing dualities can elucidate the nature and application of order-generating rules in non-linear complex systems.

Practical implications – Dualities offer some guidance toward the practical implementation of complexity theory as they represent an accessible sub-system where the forces for order and chaos – traditional and new forms of organizing respectively – are accessible and subject to manipulation.

Originality/value
– The commonalities between dualities and complexity theory are intuitive, but little conceptual work has shown how the former can be employed as a guide to managing organizing forms. Moreover, this approach demonstrates that managers may be able to stimulate “edge of chaos” conditions in a practical way, without making positivistic assumptions about the causality associated with their efforts.

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In this paper, the notion of the cumulative time varying graph (C-TVG) is proposed to model the high dynamics and relationships between ordered static graph sequences for space-based information networks (SBINs). In order to improve the performance of management and control of the SBIN, the complexity and social properties of the SBIN's high dynamic topology during a period of time is investigated based on the proposed C-TVG. Moreover, a cumulative topology generation algorithm is designed to establish the topology evolution of the SBIN, which supports the C-TVG based complexity analysis and reduces network congestions and collisions resulting from traditional link establishment mechanisms between satellites. Simulations test the social properties of the SBIN cumulative topology generated through the proposed C-TVG algorithm. Results indicate that through the C-TVG based analysis, more complexity properties of the SBIN can be revealed than the topology analysis without time cumulation. In addition, the application of attack on the SBIN is simulated, and results indicate the validity and effectiveness of the proposed C-TVG and C-TVG based complexity analysis for the SBIN.

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This paper considers the current situation within Australian manufacturing SMEs and their approaches to innovation and international competitive advantage. Using the viewpoint and language of complexity theory, we consider the variety of possibilities available to SMEs in this area. We then consider a particular international project on Discontinuous Innovation, how this has been deployed in Europe and Australia and the knowledge gained from our interactions with Australian SMEs to date around this project. Finally we consider the general development of a “Learning Laboratory” approach to working with SMEs and the differences required to make such approach successful in Europe and in different settings in Australia.

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Subwindow search aims to find the optimal subimage which maximizes the score function of an object to be detected. After the development of the branch and bound (B&B) method called Efficient Subwindow Search (ESS), several algorithms (IESS [2], AESS [2], ARCS [3]) have been proposed to improve the performance of ESS. For nn images, IESS's time complexity is bounded by O(n3) which is better than ESS, but only applicable to linear score functions. Other work shows that Monge properties can hold in subwindow search and can be used to speed up the search to O(n3), but only applies to certain types of score functions. In this paper we explore the connection between submodular functions and the Monge property, and prove that sub-modular score functions can be used to achieve O(n3) time complexity for object detection. The time complexity can be further improved to be sub-cubic by applying B&B methods on row interval only, when the score function has a multivariate submodular bound function. Conditions for sub-modularity of common non-linear score functions and multivariate submodularity of their bound functions are also provided, and experiments are provided to compare the proposed approach against ESS and ARCS for object detection with some nonlinear score functions.

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This research considers information systems development (ISD) projects as complex adaptive systems. We investigate the question whether complex adaptive systems (CAS) theory is relevant as a theoretical foundation for understanding ISD, and if so, which kind of understanding can be achieved by utilizing the theory? We introduce key concepts of CAS theory such as interaction, emergence, interconnected autonomous agents, selforganization, co-evolution, poise at the edge of chaos, time pacing, and poise at the edge of time to analyse and understand ISD in practice. We demonstrate the strength of such a CAS approach through an empirical case study presentation and analysis. While our work contributes to a complexity theory of ISD, the case examination also provides practical advice derived from this perspective to successfully cope with complexity in ISD in an adaptive manner.

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 Increasing attention is paid to organisational learning, with the success of contemporary organisations strongly contingent on their ability to learn and grow. Importantly, informal learning is argued to be even more significant than formal learning initiatives. Given the widespread use of digital technologies in the workplace, what requires further attention is how digital technologies (eg, massive open online courses—MOOC) enable informal learning processes. Drawing from Complex Adaptive Systems (CAS) theory, in this paper we advance a conceptual model for examining this important topic. The two dimensional matrix and the micro-level description of informal learning activities presented provide a framework for both further research on technology-mediated practices for informal learning, as well as the design of formative contexts for learning to occur.

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The purpose of this paper is to challenge models of workplace learning that seek to isolate or manipulate a limited set of features to increase the probability of learning. Such models typically attribute learning (or its absence) to individual engagement, manager expectations or organizational affordances and are therefore at least implicitly causative. In contrast, we discuss the contributions of complexity theory principles such as emergence and novelty that suggest that learning work is more a creative and opportunistic process that emerges from contextualized interactional understandings among actors. Using qualitative case study methods, we discuss the experiences of workers in two organizations asked to ‘act up’ in their managers’ role to ensure work continuity. We believe the differences in how workers take up these opportunities result from a complex combination of situational factors that generate invitational patterns signalled from and by various understandings and interactions among actors doing collective work. Rather than a deficit view of learning that needs fixing, an emergent model of learning work suggests that learning develops as a collective generative endeavour from changing patterns of interactional understandings with others. This re‐positioning recognizes that although invitational qualities cannot be deterministically predicted, paying attention to the patterns of cues and signals created from actors interacting together can condition ways of understandings to expand what is possible when work practices also become learning practices.

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This paper considers GSD projects as designed artefacts, and proposes the application of an Extended Axiomatic Design theory to reduce their complexity in order to increase the probability of project success. Using an upper bound estimation of the Kolmogorov complexity of the so-called ‘design matrix’ (as a proxy of Information Content as a complexity measure) we demonstrate on two hypothetical examples how good and bad designs of GSD planning compare in terms of complexity. We also demonstrate how to measure and calculate the ‘structural’ complexity of GSD projects and show that by satisfying all design axioms this ‘structural’ complexity could be minimised.

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Beyond the limited efficiency and economy goals of neoliberal health policy lies the promise of genuine health services reform. In maternity care in particular, recent policy developments have sought to make the management of birth more ‘women-centred and family-friendly’. Interprofessional collaboration and greater consumer participation in policy and decision-making are key means to achieve this goal, but changing the entrenched system of medicalised birth remains difficult. Recent social contestation of maternity care has destabilised but not eradicated pervasive medical hegemony. Further reform requires analysis both of institutionalised patterns of power, and attention to the fluidity and situated knowledge shaping organisational and professional practices. Accordingly, this paper outlines a framework with which to explore the multi-layered social processes involved in implementing organisational and cultural change in maternity care. Analysis of social interventions in health systems, we suggest, can be advanced by drawing on strands from critical organization studies, complexity and critical discourse theories and social practice approaches.

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The ambitious scope, complexity, and difficulty of Gibson’s project in proposing the theory of affordances are captured nicely by the words of Gibson’s biographer, Ed Reed:
“Gibson was convinced that the theory of affordances, in
conjunction with the concepts of information, persistence, and
change, would enable him to transcend the ancient debate between
subjectivity and objectivity and to resolve the mind-body problem. …
[H]e was offering a new approach to problems of psychology, one
that he believed would not sink in the morass that have engulfed
previous psychologies.” (Reed, 1988, p. 280).
These characteristics of the theory of affordances are further evidenced in the debates about the nature of affordances presented in the suite of papers in Ecological Psychology, Volume 12(1). In this paper we propose an elaboration of the notion of affordance by suggesting that those persisting individual differences in behaviour described as temperamental differences (e.g., differences on a dimension of temperament anchored at one end by behaviour described as ‘outgoingness’ and at the other by behaviour described as ‘avoidance’) can be integrated into the theory of affordances. We argue that such integration is consistent with Gibson’s project as reflected in Reed’s words, and as part of our argument, draw parallels between the integration of temperament with the theory of affordances and the way in which individual differences in body dimensions are incorporated in the theory. We also outline some empirical tests of our proposition.

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Information systems (IS) is a discipline that draws upon many other disciplines to bridge theory and practice and address the information and knowledge needs of individuals, organisations and society. We propose that an ideal education in IS would be delivered via cross-faculty programs of study that are not combinations of units from different faculties and disciplines, but programs which include a coherent and cohesive set of units co-designed and co-delivered by teaching staff from more than one faculty. This allows students, and teachers, to appreciate the different content and perspectives within the same context, as they will experience in the workplace, and allow them to develop deeper understandings of the complexity that can arise in their roles as mediators and communicators in finding appropriate IT solutions. Such a model poses a radical change, and thus the framework we offer uses a ‘theory of change’ agenda.