Use case generation, variation, and anticipation in innovation projects: Analysis of current industry practices based on interviews with international innovation experts

Authors

DOI:

https://doi.org/10.14512/tatup.33.2.49

Keywords:

innovation, creativity, use case, artificial intelligence, technology

Abstract

Use case scenarios play an essential role in innovation projects and influence the design of technologies. In this research article, I examine how use cases are generated, varied, and anticipated. To do so, I analyze interviews with international innovation experts (N = 14), e.g., Chief Technology Officer, Innovation Director, or User Experience Researcher. A heterogeneity of practices for the design of use cases, the creation of use case variants, and the anticipation of a possible extension of use cases can be identified. Anti-personas and worst-case scenarios are tools specifically aimed at identifying malicious use cases. A surprising result is the absence of special AI‑based procedures for use case generation, variation, and anticipation, indicating untapped potential for innovation projects.

References

Albastaki, Fouzeya; Ubaid, Alaa; Rashid, Hamad; Alshamma, Ahmed (2022): Systematic literature review on the work from home concept. In: IEOM Society International (ed.): Proceedings of the 5th European international conference on industrial engineering and operations management. Rome: IEOM, pp. 733–747. https://doi.org/10.46254/EU05.20220147 DOI: https://doi.org/10.46254/EU05.20220147

Canivenc, Suzy (2023): Les espaces de travail virtuels. Au-delà du métavers. In: Repère – futures du travail 16, pp. 1–12. Available online at https://www.chairefit2.org/publications/les-espaces-de-travail-virtuels-au-dela-du-metavers/, last accessed on 03. 04. 2024.

Chui, Michael et al. (2023): The economic potential of generative AI. The next productivity frontier. In: McKinsey and Company, 14. 06. 2023. Available online at https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#introduction, last accessed on 03. 04. 2024.

Cicek, Isik (2024): A systematic review of home-office-related studies in the business context during the COVID-19 pandemic term. In: Beatrice Orlando (ed.): Innovation capabilities and entrepreneurial opportunities of smart working. Hershey, PA: IGI Global, pp. 1–23. https://doi.org/10.4018/978-1-7998-8797-3.ch001 DOI: https://doi.org/10.4018/978-1-7998-8797-3.ch001

Cropley, David; Kaufman, James; Cropley, Arthur (2008): Malevolent creativity. A functional model of creativity in terrorism and crime. In: Creativity Research Journal 20 (2), pp. 105–115. https://doi.org/10.1080/10400410802059424 DOI: https://doi.org/10.1080/10400410802059424

Doerre, Klaus; Lessenich, Stephan; Rosa, Hartmut (2015): Sociology, capitalism, critique. London: Verso.

Dufour, Hugues (2023): L’art face à l’IA. Vers un imaginaire augmenté. Paris: fyp.

Dwivedi, Yogesh et al. (2023): Exploring the darkverse. A multi-perspective analysis of the negative societal impacts of the metaverse. In: Information Systems Frontiers 25 (5), pp. 2071–2114. https://doi.org/10.1007/s10796-023-10400-x DOI: https://doi.org/10.1007/s10796-023-10400-x

Falahat, Mohammad; Chong, Shyue; Liew, Cindy (2024): Navigating new product development. Uncovering factors and overcoming challenges for success. In: Heliyon 10 (1), p. e23763. https://doi.org/10.1016/j.heliyon.2023.e23763 DOI: https://doi.org/10.1016/j.heliyon.2023.e23763

Gallagher, Kaitlin; Chambers, April; Lin, Jia-Hua; Jacobs, Karen; Robertson, Michelle (2023): Ergonomics advances in office work and work-from-home. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting 67 (1), pp. 346–349. https://doi.org/10.1177/21695067231192577 DOI: https://doi.org/10.1177/21695067231192577

Grilli, Luca; Pedota, Mattia (2024): Creativity and artificial intelligence. A multilevel perspective. In: Creativity and Innovation Management, pp. 1–14. https://doi.org/10.1111/caim.12580 DOI: https://doi.org/10.1111/caim.12580

Guest, Greg; Bunce, Arwen; Johnson, Laura (2006): How many interviews are enough? An experiment with data saturation and variability. In: Field Methods 18 (1), pp. 59–82. https://doi.org/10.1177/1525822X05279903 DOI: https://doi.org/10.1177/1525822X05279903

Habermas, Jürgen (1968): Technik und Wissenschaft als “Ideologie”? In: Man and World 1 (4), pp. 483–523. https://doi.org/10.1007/BF01247043 DOI: https://doi.org/10.1007/BF01247043

Habermas, Jürgen (1981): Theorie des kommunikativen Handelns. Frankfurt a. M.: Suhrkamp.

Henke, Niklas (2021): Design methods and innovation projects as creativity consultancy. In: Revue française des sciences de l’information et de la communication 23, n.p. https://doi.org/10.4000/rfsic.11913 DOI: https://doi.org/10.4000/rfsic.11913

Henke, Niklas; Martin-Juchat, Fabienne (2021): The design turn for the management of public relations. Emerging challenges for communication professionals using design practices. In: ESSACHESS – Journal for Communication Studies 14 (2), pp. 153–170.

Honneth, Axel; Sutterlüty, Ferdinand (2012): Normative Paradoxien der Gegenwart. In: Hans-Georg Soeffner (ed.): Transnationale Vergesellschaftungen. Verhandlungen des 35. Kongresses der Deutschen Gesellschaft für Soziologie in Frankfurt am Main 2010. Wiesbaden: Springer, pp. 897–909. https://doi.org/10.1007/978-3-531-18971-0_80 DOI: https://doi.org/10.1007/978-3-531-18971-0_80

Lepage, Xavier; Mettrie, Aymar de la (2022): Métavers. Enjeux, perspectives … et risques. In: Servir 515 (5), pp. 46–48. https://doi.org/10.3917/servir.515.0046 DOI: https://doi.org/10.3917/servir.515.0046

Martin-Juchat, Fabienne (2015): Capitalisme affectif. Enjeux et pratiques dans les organisations. In: Sylvie Alemanno (ed.): Communications organisationnelles, management et numérique. Paris: L’Harmattan, pp. 59–68.

Mazzone, Marian; Elgammal, Ahmed (2019): Art, creativity, and the potential of artificial intelligence. In: Arts 8 (1), p. 26. https://doi.org/10.3390/arts8010026 DOI: https://doi.org/10.3390/arts8010026

Montag, Christian; Nakov, Preslav; Ali, Raian (2023): Considering the IMPACT framework to understand the AI‑well-being-complex from an interdisciplinary perspective. In: Telematics and Informatics Reports 13, p. 100112. https://doi.org/10.2139/ssrn.4584349 DOI: https://doi.org/10.1016/j.teler.2023.100112

OECD – Organisation for economic co-operation and development; Eurostat (2005): Oslo manual. Guidelines for collecting and interpreting innovation data. Paris: OECD Publishing. https://doi.org/10.1787/19900414 DOI: https://doi.org/10.1787/19900414

Osei-Mensah, Belinda; Asiamah, Elizabeth; Sackey, Rainbow (2023): Strategic communication and artificial intelligence. Reviewing emerging innovations and future directions. In: Archives of Business Research 11 (1), pp. 85–102. https://doi.org/10.14738/abr.111.13616 DOI: https://doi.org/10.14738/abr.111.13616

Paris, Thomas (2008): De Mozart à Pixar. Quand la créativité devient organisationnelle. In: Mode de recherche 10, pp. 3–15.

Rogers, Everett (1983): Diffusion of innovations. New York, NY: The Free Press.

Sacépé, Karine (2019): Le guide des espaces collaboratifs d’innovation. Paris: Institut open innovation.

Sawyer, Keith; Henriksen, Danah (2024): Explaining creativity. The science of human innovation. Oxford: Oxford University Press. https://doi.org/10.1093/oso/9780197747537.001.0001 DOI: https://doi.org/10.1093/oso/9780197747537.001.0001

Downloads

Published

28.06.2024

How to Cite

1.
Henke NH. Use case generation, variation, and anticipation in innovation projects: Analysis of current industry practices based on interviews with international innovation experts. TATuP [Internet]. 2024 Jun. 28 [cited 2024 Jul. 25];33(2):49-54. Available from: https://www.tatup.de/index.php/tatup/article/view/7120