9781003215035_10.4324-4.pdf

Chapter 4 is designed so as to consolidate the discussion presented in Chapters 1–3. It introduces the control-decision-innovation (CDI) model and thus concludes the process of its gradual development. The foundation of the model is derived from the complex, and therefore challenging, nature of inno...

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Έκδοση: Taylor & Francis 2021
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spelling oapen-20.500.12657-508572021-10-08T02:44:55Z Chapter 4 The Control-Decision- Innovation (CDI) Model Szutowski, Dawid Management Control Systems, Decision-Making, Innovation Development, CDI model, transactive memory system, decision effectiveness bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas::KJMV6 Research & development management bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy Chapter 4 is designed so as to consolidate the discussion presented in Chapters 1–3. It introduces the control-decision-innovation (CDI) model and thus concludes the process of its gradual development. The foundation of the model is derived from the complex, and therefore challenging, nature of innovation system management and control. Consequently, it demonstrates that a direct link between management control systems and decision-making quality exists, but differs in terms of the specific tools and control types implemented within the organisation. In addition to that, the model indirectly links MCSs to decision-making quality via the transactive memory system to account for the cognitive interdependence of specialists equipped with expert knowledge. This path is obligatory, as expert knowledge is nothing less than crucial in innovation development. Next, the model specifies that the efficiency of an innovation development system results from the sum of the quality of all decisions made within all the functional areas involved. In other words, the logic behind the CDI model is that mechanistic and organic management control systems have direct and indirect positive effects on decision-making efficiency and decision effectiveness, which in turn have a direct positive effect on the composite innovation index. 2021-10-07T10:12:36Z 2021-10-07T10:12:36Z 2021 chapter 9781032103723 9781032103754 https://library.oapen.org/handle/20.500.12657/50857 eng application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9781003215035_10.4324-4.pdf Taylor & Francis Management Control Systems, Decision-Making, and Innovation Development Routledge 10.4324/9781003215035-5 10.4324/9781003215035-5 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb 259eb09d-77b9-46a0-beb1-e51627cbea23 9781032103723 9781032103754 Routledge 43 open access
institution OAPEN
collection DSpace
language English
description Chapter 4 is designed so as to consolidate the discussion presented in Chapters 1–3. It introduces the control-decision-innovation (CDI) model and thus concludes the process of its gradual development. The foundation of the model is derived from the complex, and therefore challenging, nature of innovation system management and control. Consequently, it demonstrates that a direct link between management control systems and decision-making quality exists, but differs in terms of the specific tools and control types implemented within the organisation. In addition to that, the model indirectly links MCSs to decision-making quality via the transactive memory system to account for the cognitive interdependence of specialists equipped with expert knowledge. This path is obligatory, as expert knowledge is nothing less than crucial in innovation development. Next, the model specifies that the efficiency of an innovation development system results from the sum of the quality of all decisions made within all the functional areas involved. In other words, the logic behind the CDI model is that mechanistic and organic management control systems have direct and indirect positive effects on decision-making efficiency and decision effectiveness, which in turn have a direct positive effect on the composite innovation index.
title 9781003215035_10.4324-4.pdf
spellingShingle 9781003215035_10.4324-4.pdf
title_short 9781003215035_10.4324-4.pdf
title_full 9781003215035_10.4324-4.pdf
title_fullStr 9781003215035_10.4324-4.pdf
title_full_unstemmed 9781003215035_10.4324-4.pdf
title_sort 9781003215035_10.4324-4.pdf
publisher Taylor & Francis
publishDate 2021
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