Stefano Armenia, Sergio Barile, Francesca Iandolo, Alessandro Pompei, Luigi Maria Sicca
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Organisational ambidexterity and knowledge management: A systems perspective towards Smart Model‐based Governance
Abstract The purpose of this paper is to propose a new framework for the governance of ‘modern’ smart organisations that integrates IT‐based orientation to decision‐making, systems thinking through system dynamics modelling and cybernetics. The design of the proposed framework is based on the key role played by knowledge in the governance of organisations. The literature on ambidexterity, organisational learning, knowledge management and systems thinking is the adopted research background. A synthesis of the connection points between these fields is proposed within a theoretical framework named Smart Model‐based Organisations. The main result of this work is represented by the proposed Smart Model‐based Governance (SMbG) framework and an example of application. There are two main findings related to the contribution of the proposed framework: the overcoming of ‘data‐based’ approaches that favour rigidity in knowledge governance and the contribution of systems approaches that, increasing organisational involvement, improve knowledge governance.
期刊介绍:
Systems Research and Behavioral Science publishes original articles on new theories, experimental research, and applications relating to all levels of living and non-living systems. Its scope is comprehensive, dealing with systems approaches to: the redesign of organisational and societal structures; the management of administrative and business processes; problems of change management; the implementation of procedures to increase the quality of work and life; the resolution of clashes of norms and values; social cognitive processes; modelling; the introduction of new scientific results, etc. The editors especially want manuscripts of a theoretical or empirical nature which have broad interdisciplinary implications not found in a journal devoted to a single discipline.