1,721,041 research outputs found
Future research directions in Governance and policy making under the UE prism of ICT for Governance and Policy Modeling
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Smart model-based governance: Taking decision making to the next level by integrating data analytics with systems thinking and system dynamics
Full text linkAlthough Big Data initiatives are currently presenting promising results, there is still some skepticism about their real capabilities as they are contextual dependent, and their objective and accuracy are somehow misleading (Armenia et al., 2018). Approaches underlying the extraction of knowledge from a large amount of data are surely important to understand how a system has behaved until a certain point in time. However, they, unfortunately, lack a real and effective capability to infer future system's behaviour and its relationship with other systems (some of which might even have counter-intuitive behaviours). As a direct consequence of this, the Systems Thinking approach may help fill the gap, as it advocates the ability to see the world as a complex system where everything is connected. Joining Analytics techniques and Systems Thinking models brings us to the definition of a new governance approach, based on "smart" models (Armenia et al., 2017). The aim of this work is to propose a new conceptual governance framework based on a systemic approach and translated into a system dynamics model for knowledge management within organizations: Smart Model-based governance. The purpose of this model is to overcome the bias linked to the models of governance and knowledge management either from a purely procedural point of view or from a purely declarative point of view. The former, in fact, have as their main limit that of the total absence of the tacit dimension of knowledge related, for example, to the ways in which processes are actually implemented in organizations and how management perceives the structure. The latter, instead, have the main limitation of not considering the effective functioning of the organization as regards IT processes and often generate cognitive bias. The proposed model of Smart Model-based governance, therefore, allows to overcome the limits of both, considering both types of knowledge at the same time and, through system dynamics processes, allows us to understand how different and complementary elements (Big Data, thought systems, models and simulation) can be combined to facilitate the achievement of good governance (Grove et al., 2018; Rokundo, 2017; Seetharaman et al., 2016) based on knowledge governance as a strategic resource for all organizations
Training in systems thinking and system dynamics as an effective way to tackle complexity in the management of organisations
Full text linkThe biggest challenge for today’s organisations is to address the growing complexity of their internal and external environment while gaining a competitive advantage. To do this, the leaders of the organisations must be able to understand this complexity through the knowledge of the environment and the implementation of a governance system based on a decision-making process that considers the enormous amount of data available. Such data must lead to the availability of information that guides the organisations themselves in the learning process.
Sustainable development requires organisations to rethink their goals and/or business models, with effects on their day-to-day activities. Pursuing to become more sustainable is not only a need for marketing reasons but also an opportunity for growth and alignment with emerging trends. However, managing the complexity of sustainability is not straightforward and requires cognitive and practical tools that are able to capture and jointly consider a wide variety of interrelated factors.
Modelling the processes that characterise complex organisations is not an easy task. The aim of this contribution is thus to identify a methodology that helps managers in tackling the challenges that organisations have to adopt when faced with a growing complexity of their internal and external environment, and that might help managers at all levels when analysing various business and management situations, to account for non-linearities, path-dependency and time lags, and that may allow also for organisational and social learning.
The study shows how the System Dynamics approach, identified as a methodology for modelling and simulation, is able to lead to the development of effective skills and strategic learning for the management of organisations and hence support the dynamic evaluations of strategies and performance.
The System Thinking and System Dynamics approach may prove a useful combined tool for next-generation decision-makers, but this approach needs to be understood and learned in order to develop the necessary skills. In particular, this study will show the results of a test conducted with the collaboration of undergraduate university students, who have attended a course about System Dynamics, in order to test their ability to understand the dynamics underlying counterintuitive system behaviour
BSLab-SYDIC International Workshop - Model-based Governance for Smart Organizational Future
No full textToday, the effective governance of any organisation - be it a government, a firm, a state-owned entity, or a charity - needs to be based on resilience, transparency, accountability, evidence of effectiveness. This need is stimulated by the all-encompassing public scrutiny of organisations, a trend continuously growing due to the advances in IT. This process has been described in terms of the emergence of technologies and practices of calculation in the context of governance.
A common problem is that organisations frequently approach governance as a process of conforming strictly to rules and regulations instead of considering it from a wider systemic perspective.
In this workshop, we called for both practical and theoretical research proposals for a better modeling of organizational systems as well as examples of successful application of model-based governance to any kind of organizational system
Enhancing urban sustainability through calculative practices and simulations
Full text linkPurpose: This study investigates the performative role of calculative practices in urban decision-making by combining simulation tools and accounting measures. Specifically, this study proposes both theoretical and practical approaches to support the development of an integrated approach for formulating urban sustainability and circular economy policies. Design/methodology/approach: This study combines performativity theory with Systems Thinking and System Dynamics, presenting findings from two simulation sessions focused on developing sustainability and circular economy policies for a virtual urban environment. A System Dynamics simulator (interactive learning environment) was used to facilitate the simulations and support decision-making. Findings: This study demonstrates the potential of combining accounting and simulation principles (specifically, Systems Thinking and System Dynamics) to enhance interactions between human agents and support decision-making through a rigorous and quantified simulation model. It also proposes an approach that fosters the integrative potential of calculative practices in urban sustainability decisions. Originality/value: This study offers a novel approach by combining accounting concepts with Systems Thinking and System Dynamics principles and tools to facilitate human-agent interaction and support decision-making in complex and dynamic environments, such as urban sustainability. It specifically examines circular economy policies in cities and provides new insights into applying performativity theory in this context, thereby offering novel practical implications
Quantitative-analysis methodologies confrontation: the added value of simulation and System Dynamics applied to the case of Call Center Management
No full textModel-based Governance for Smart Organizational Future
No full textToday, the effective governance of any organisation - be it a government, a firm, a state-owned entity, or a charity - needs to be based on resilience, transparency, accountability, evidence of effectiveness. This need is stimulated by the all-encompassing public scrutiny of organisations, a trend continuously growing due to the advances in IT. This process has been described in terms of the emergence of technologies and practices of calculation in the context of governance.
A common problem is that organisations frequently approach governance as a process of conforming strictly to rules and regulations instead of considering it from a wider systemic perspective.
In this workshop, we called for both practical and theoretical research proposals for a better modeling of organizational systems as well as examples of successful application of model-based governance to any kind of organizational system
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