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A DATA-DRIVEN APPROACH TO USER-EXPERIENCE-FOCUSED MODEL-BASED ROADMAPPING FOR NEW PRODUCT PLANNING

Published online by Cambridge University Press:  27 July 2021

Ilia Iuskevich ,
Andreas-Makoto Hein ,
Kahina Amokrane-Ferka ,
Abdelkrim Doufene  and
Marija Jankovic
Ilia Iuskevich*
Affiliation:
Université Paris-Saclay, CentraleSupélec, Laboratoire Genie Industriel IRT SystemX
Andreas-Makoto Hein
Affiliation:
IRT SystemX
Kahina Amokrane-Ferka
Affiliation:
IRT SystemX
Abdelkrim Doufene
Affiliation:
IRT SystemX
Marija Jankovic
Affiliation:
Université Paris-Saclay, CentraleSupélec, Laboratoire Genie Industriel
*
Iuskevich, Ilia, Université Paris-Saclay, Le Laboratoire Génie Industriel CentraleSupélec, France, ilya.yuskevich@gmail.com

Abstract

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User experience (UX) focused business needs to survive and plan its new product development (NPD) activities in a highly turbulent environment. The latter is a function of volatile UX and technology trends, competition, unpredictable events, and user needs uncertainty. To address this problem, the concept of design roadmapping has been proposed in the literature. It was argued that tools built on the idea of design roadmapping have to be very flexible and data-driven (i.e., be able to receive feedback from users in an iterative manner). At the same time, a model-based approach to roadmapping has emerged, promising to achieve such flexibility. In this work, we propose to incorporate design roadmapping to model-based roadmapping and integrate it with various user testing approaches into a single tool to support a flexible data-driven NPD planning process.

Keywords

Organisation of product developmentProduct modelling / modelsNew product developmentTechnology RoadmappingStrategic management
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 61 - 70
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

References

“2015 NASA Technology Roadmaps (Archive)”. (2015), NASA, Text, 29 April, available at: http://www.nasa.gov/offices/oct/home/roadmaps/index.html (accessed 24 July 2020).Google Scholar
Abrantes, R. and Figueiredo, J. (2014), “Feature based process framework to manage scope in dynamic NPD portfolios”, International Journal of Project Management, Vol. 32 No. 5, pp. 874–884. http://doi.org/10.1016/j.ijproman.2013.10.014CrossRefGoogle Scholar
Alexander, I.F. and Maiden, N. (Eds.). (2004), Scenarios, Stories, Use Cases: Through the Systems Development Life-Cycle, 1st edition., Wiley, Chichester; Hoboken, NJ.Google Scholar
An, Y., Lee, S. and Park, Y. (2008), “Development of an integrated product-service roadmap with QFD: A case study on mobile communications”, International Journal of Service Industry Management, Emerald Group Publishing Limited, Vol. 19 No. 5, pp. 621–638. http://doi.org/10.1108/09564230810903497CrossRefGoogle Scholar
Bekhradi, A., Yannou, B., Cluzel, F. and Kokkolaras, M. (2018), “Decision Support for R&D Activities of Innovative Technologies”, presented at the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers Digital Collection. http://doi.org/10.1115/DETC2018-85657CrossRefGoogle Scholar
Buchanan, R. (1992), “Wicked Problems in Design Thinking”, Design Issues, Vol. 8 No. 2, pp. 5–21.10.2307/1511637CrossRefGoogle Scholar
Colombo, E.F., Shougarian, N., Sinha, K., Cascini, G. and de Weck, O.L. (2020), “Value analysis for customizable modular product platforms: theory and case study”, Research in Engineering Design, Vol. 31 No. 1, pp. 123–140. http://doi.org/10.1007/s00163-019-00326-4CrossRefGoogle Scholar
Doyle, J.R., Green, R.H. and Bottomley, P.A. (1997), “Judging Relative Importance: Direct Rating and Point Allocation Are Not Equivalent”, Organizational Behavior and Human Decision Processes, Vol. 70 No. 1, pp. 65–72. http://doi.org/10.1006/obhd.1997.2694CrossRefGoogle Scholar
Du, X., Jiao, J. and Tseng, M.M. (2016), “Architecture of Product Family: Fundamentals and Methodology”:, Concurrent Engineering, Sage Publications Sage CA: Thousand Oaks, CA. http://doi.org/10.1177/1063293X0100900407Google Scholar
Franceschini, F. and Rossetto, S. (1995), “QFD: The problem of comparing technical/engineering design requirements”, Research in Engineering Design, Vol. 7 No. 4, pp. 270–278. http://doi.org/10.1007/BF01580463CrossRefGoogle Scholar
Golkar, A. and Garzaniti, N. (2020), “Model based systems engineering approach to technology roadmapping”, Proceedings of the 2020 Summer Simulation Conference, Society for Computer Simulation International, San Diego, CA, USA, pp. 1–12Google Scholar
Gradini, R., Salgueiro, S., Budideti, J. and Golkar, A. (2019), “Model-based technology roadmapping: potential and challenges ahead”, Proceedings of the 2019 Summer Simulation Conference, Society for Computer Simulation International, Berlin, Germany, pp. 1–11. http://doi.org/10.5555/3374138.3374160CrossRefGoogle Scholar
Green, P.E., Krieger, A.M. and Wind, Y. (2001), “Thirty Years of Conjoint Analysis: Reflections and Prospects”, Interfaces, Vol. 31 No. 3-Supplement, pp. 56–73. http://doi.org/10.1287/inte.31.4.56.9676CrossRefGoogle Scholar
Hassenzahl, M. (2018), “The Thing and I: Understanding the Relationship Between User and Product”, in Blythe, M. and Monk, A. (Eds.), Funology 2: From Usability to Enjoyment, Springer International Publishing, Cham, pp. 301–313. http://doi.org/10.1007/978-3-319-68213-6_19CrossRefGoogle Scholar
Helms, B. and Shea, K. (2012), “Computational Synthesis of Product Architectures Based on Object-Oriented Graph Grammars”, Journal of Mechanical Design, American Society of Mechanical Engineers Digital Collection, Vol. 134 No. 2. http://doi.org/10.1115/1.4005592CrossRefGoogle Scholar
Iuskevich, I., Hein, A., Amokrane-Ferka, K., Doufene, A. and Jankovic, M. (2021), “A metamodel of an informational structure for model-based technology roadmapping”, [Manuscript Submitted for Publication].10.1016/j.techfore.2021.121103CrossRefGoogle Scholar
Kett, S.G., Schmitt, B. and Wartzack, S. (2017), “What the Statistics Tell Us—How to Use Empiric Data in Design for Emotional Impressions”, in Chakrabarti, A. and Chakrabarti, D. (Eds.), Research into Design for Communities, Volume 2, Springer, Singapore, pp. 659–669. http://doi.org/10.1007/978-981-10-3521-0_56CrossRefGoogle Scholar
Kim, E., Beckman, S.L. and Agogino, A. (2018), “Design Roadmapping in an Uncertain World: Implementing a Customer-Experience-Focused Strategy”:, California Management Review, SAGE Publications Sage CA: Los Angeles, CA. http://doi.org/10.1177/0008125618796489Google Scholar
Kim, E., Chung, J., Beckman, S. and Agogino, A.M. (2016), “Design Roadmapping: A Framework and Case Study on Planning Development of High-Tech Products in Silicon Valley”, Journal of Mechanical Design, American Society of Mechanical Engineers Digital Collection, Vol. 138 No. 10. http://doi.org/10.1115/1.4034221CrossRefGoogle Scholar
Kim, H., Chen, J., Kim, E. and Agogino, A.M. (2017), “Scenario-Based Conjoint Analysis: Measuring Preferences for User Experiences in Early Stage Design”, presented at the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers Digital Collection. http://doi.org/10.1115/DETC2017-67690CrossRefGoogle Scholar
Knoll, D., Golkar, A. and de Weck, O. (2018), “A concurrent design approach for model-based technology roadmapping”, 2018 Annual IEEE International Systems Conference (SysCon), presented at the 2018 Annual IEEE International Systems Conference (SysCon), pp. 1–6. http://doi.org/10.1109/SYSCON.2018.8369527Google Scholar
Meinel, M., Eismann, T.T., Baccarella, C.V., Fixson, S.K. and Voigt, K.-I. (2020), “Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study”, European Management Journal. http://doi.org/10.1016/j.emj.2020.02.002CrossRefGoogle Scholar
Muller, J. and Lillack, M. (2011), “Conjoint Analysis of Software Product Lines: A Feature Based Approach”, 2011 37th EUROMICRO Conference on Software Engineering and Advanced Applications, presented at the 2011 37th EUROMICRO Conference on Software Engineering and Advanced Applications, pp. 374–377. http://doi.org/10.1109/SEAA.2011.73CrossRefGoogle Scholar
Nagamachi, M. (2002), “Kansei engineering as a powerful consumer-oriented technology for product development”, Applied Ergonomics, Vol. 33 No. 3, pp. 289–294. http://doi.org/10.1016/S0003-6870(02)00019-4CrossRefGoogle ScholarPubMed
Nešić, D., Krüger, J., Stănciulescu, Ștefan and Berger, T. (2019), “Principles of feature modeling”, Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Association for Computing Machinery, New York, NY, USA, pp. 62–73. http://doi.org/10.1145/3338906.3338974CrossRefGoogle Scholar
Phaal, R., Farrukh, C.J.P. and Probert, D.R. (2005), “Developing a technology roadmapping system”, presented at the A Unifying Discipline for Melting the Boundaries Technology Management:, pp. 99–111. http://doi.org/10.1109/PICMET.2005.1509680CrossRefGoogle Scholar
Ries, E. (2011), The Lean Startup: How Constant Innovation Creates Radically Successful Businesses, Trade Paperback edition., Portfolio Penguin, London.Google Scholar
Shen, X.X., Tan, K.C. and Xie, M. (2000), “An integrated approach to innovative product development using Kano's model and QFD”, European Journal of Innovation Management, Vol. 3 No. 2, pp. 91–99. http://doi.org/10.1108/14601060010298435CrossRefGoogle Scholar
Wu, D., Zhang, L.L., Jiao, R.J. and Lu, R.F. (2013), “SysML-based design chain information modeling for variety management in production reconfiguration”, Journal of Intelligent Manufacturing, Vol. 24 No. 3, pp. 575–596. http://doi.org/10.1007/s10845-011-0585-6CrossRefGoogle Scholar
Zhou, F., Jiao, J.R., Yang, X.J. and Lei, B. (2017), “Augmenting feature model through customer preference mining by hybrid sentiment analysis”, Expert Systems with Applications, Vol. 89, pp. 306–317. http://doi.org/10.1016/j.eswa.2017.07.021CrossRefGoogle Scholar