complexity

Unveiling the complexity of PMBOK through process network analysis

The aim of the present research can be synthetized by the follow-ing research questions:How is the PM theory evolving? How did best practices, processes and knowledge areas change through time? Which are the most important best practices, processes and knowledge areas in PM theory? The results showed how the importance of specific processes changed trough time and allowed us identify PM practices, new or borrowed, that contributed to PM evolution.

Project Management. Driving Complexity

Contemporary organizations are undertaking increasingly complex projects in globalized, uncertain and dynamic environments. Proliferation of international programs, growing and challenging sophistication of technologies and of projects’ scope, and the increasing number of stakeholders are only some of the factors that increase or generate project complexity.

Managing territory and its complexity: a decision-making model based on the viable system approach (VsA)

The globalization exacerbates the need to conceive sustainable and shared solutions to the dramatic environmental, social and economic issues at a local level, i.e for a specific territory. Satisfying this need asks for a decision-making processes awareness of the specific environmental, social and economic features of the territory itself. Considering the challenge to linking effectiveness and efficiency with a viable sustainability at a local level (par. 1), the paper firstly aims to offer deeper insights in understanding the complex nature of the territory (parr.

A systems based interpretative framework for approaching exaptation and bricolage in decision making and value co-creation

Purpose – The increasing variety and variability of social and economic dynamics is pushing both researchers and practitioners in developing approaches, models, and tools for supporting decision makers in observing, interpreting, understanding and managing emergent dynamics. For contributing to the ongoing debate, the paper aims at discussing possible paths for facing the challenges of the increasing complexity through flexible decisional and behavioral approaches.

Progetto di paesaggio e interazione con le altre specie viventi

Landscape design has always been considered a cultural crossroad, an open reference, a welcoming and available space of interpretation, but this does not equate to considering it a
field of undetermined meanings nor a set of images difficult to recognize.
Complexity, intended as aptitude to distinguish but not to separate, can be considered a genetic feature of the landscape design project since its modern ‘origins’, but often it is misunderstood for indeterminacy. Univocal terms, those terms apparently clear, frequently used to

Monitor, anticipate, respond, and learn: Developing and interpreting a multilayer social network of resilience abilities

Resilient performance is influenced by social interactions of several types, which may be analysed as layers of interwoven networks. The combination of these layers gives rise to a “network of networks”, also known as a multilayer network. This study presents an approach to develop and interpret multilayer networks in light of resilience engineering. Layers correspond to the four abilities of resilient systems: monitor, anticipate, respond, and learn. The proposal is applied in a 34-bed intensive care unit.

R&D Subsidization effect and network centralization. Evidence from an agent-based micro-policy simulation

This paper presents an agent-based micro-policy simulation model assessing public R&D policy effect when R&D and non-R&D performing companies are located within a network. We set out by illustrating the behavioural structure and the computational logic of the proposed model; then, we provide a simulation experiment where the pattern of the total level of R&D activated by a fixed amount of public support is analysed as function of companies’ network topology.

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