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Multiple Perspectives for the Implementation of Innovative Technological Solutions in the Context of Data-Driven Decision-Making

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Abstract

This chapter deals with the changes caused by digital transformation that confront companies with more intense competition, performance pressure and growing customer demands. The quest for increased competitiveness and efficiency is expressed above all in the implementation of (innovative) technological solutions and the increasingly automated and data-driven decision-making processes. The presented tool, the TOCI model (Technological and Organizational Coherence Implementation model), was developed specifically for the implementation of innovative technologies in business practice. The method takes into account the coherence of various factors, including the required changes to the organizational decision support processes. The TOCI model was developed based on well-known models from the academic literature, such as the technology acceptance model, the agile process management method Scrum, the CRISP-DM process model and the Stage-Gate model. In addition, socio-technical system methods and insights from the theory of situational leadership are integrated.

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Correspondence to Anna-Maria Nitsche .

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Nitsche, AM., Schumann, CA., Laroque, C., Matthias, O. (2023). Multiple Perspectives for the Implementation of Innovative Technological Solutions in the Context of Data-Driven Decision-Making. In: Barton, T., Müller, C. (eds) Apply Data Science. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-38798-3_4

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  • DOI: https://doi.org/10.1007/978-3-658-38798-3_4

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  • Publisher Name: Springer Vieweg, Wiesbaden

  • Print ISBN: 978-3-658-38797-6

  • Online ISBN: 978-3-658-38798-3

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