Abstract
In times of digital transformation and often-disruptive markets, companies have to continuously optimize their existing business models and at the same time promote new products and services as well as organizational structures and working processes. Human creativity in combination with artificial intelligence and cognitive systems are key enablers for organizations to optimize their business and better predict and control their innovation processes. Optimized symbiotic interaction between humans and machines needs a methodological approach in order to design and evaluate enhanced innovation processes for generating new ideas and implementing innovative hybrid working scenarios. In this paper, the authors present key elements for the optimization of innovation processes based on established creativity techniques and potentials of cognitive systems.
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References
NTT Limited: Future Disrupted: 2020 technology trends (2019)
Förster-Metz, U.S., Marquardt, K., Golowko, N., Kompalla. A., Hell, C.: Digital transformation and its implications on organizational behavior. J. EU Res. Bus. 2018, Article ID 340873 (2018). https://doi.org/10.5171/2018.340873
Waters, B: Innovation trends report 2019, Stanford University (2019)
Revilla, E., Rodríguez-Padro, B.: Building ambidexterity through creativity mechanisms: contextual drivers of innovation success. Res. Policy 47, 1611–1625 (2018)
Mioskowski, H., Meyer J.-E.: Unternehmen brauchen Ideenprofis! Wie sich geniale Ideen mit System entwickeln lassen. Ideenmanagement 4 (2013)
Corral, L., Fronza, I.: Design thinking and agile practices for software engineering. In: Association for Computing Machinery. SIGITE 2018, Fort Lauderdale, FL, USA, 3–6 October 2018 (2018)
Sarpong, D.: Scenario planning: methodologies, methods and shifting conceptual landscape. Int. J. Foresight Innov. Policy 10 (2016). https://doi.org/10.1504/ijfip.2015074397
Satu, P., Hyypiä, M.: Innotin game supporting creativity in innovation activities. J. Bus. Res. 96, 26–34 (2019)
Karimi, P., Grace, K., Maher, M.L., Davis, N.: Evaluating creativity in computational co-creative systems (2018)
Jordanous, A.: Co-creativity and perceptions of computational agents in co-creativity (2017)
Bauer, W., Schlund, S., Vocke, C.: Working life within a hybrid world – how digital transformation and agile structures affect human functions and increase quality of work and business performance. In: 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017) and the Affiliated Conferences, AHFE 2017, Los Angeles, USA (2017)
Constantinescu, C., Todorovic, O., Ippolito, D.: Comprehensive modelling and simulation towards the identification of critical parameters for evaluation of exoskeleton-centred workplaces. In: 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018, Neapel, Italy, Procedia CIRP, vol. 79, pp. 176–179 (2018)
Vocke, C., Bauer, W.: Work in the age of artificial intelligence – challenges and potentials for the design of new forms of human-machine interaction. In: 10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) and the Affiliated Conferences, AHFE 2019, Washington D.C., USA (2019)
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Vocke, C., Bauer, W. (2020). The Future of Innovation Management – Symbiotic Interaction Between Humans and Cognitive Systems. In: Kantola, J., Nazir, S., Salminen, V. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1209. Springer, Cham. https://doi.org/10.1007/978-3-030-50791-6_74
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DOI: https://doi.org/10.1007/978-3-030-50791-6_74
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