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http://dx.doi.org/10.13088/jiis.2022.28.1.287

KANO-TOPSIS Model for AI Based New Product Development: Focusing on the Case of Developing Voice Assistant System for Vehicles  

Yang, Sungmin (School of Global Entrepreneurship and Information Communication Technology (ICT), Handong Global University)
Tak, Junhyuk (School of Computer Science And Electrical Engineering, Handong Global University)
Kwon, Donghwan (School of Global Entrepreneurship and Information Communication Technology (ICT), Handong Global University)
Chung, Doohee (School of Global Entrepreneurship and Information Communication Technology (ICT), Handong Global University)
Publication Information
Journal of Intelligence and Information Systems / v.28, no.1, 2022 , pp. 287-310 More about this Journal
Abstract
Companies' interest in developing AI-based intelligent new products is increasing. Recently, the main concern of companies is to innovate customer experience and create new values by developing new products through the effective use of Artificial intelligence technology. However, due to the nature of products based on radical technologies such as artificial intelligence, intelligent products differ from existing products and development methods, so it is clear that there is a limitation to applying the existing development methodology as it is. This study proposes a new research method based on KANO-TOPSIS for the successful development of AI-based intelligent new products by using car voice assistants as an example. Using the KANO model, select and evaluate functions that customers think are necessary for new products, and use the TOPSIS method to derives priorities by finding the importance of functions that customers need. For the analysis, major categories such as vehicle condition check and function control elements, driving-related elements, characteristics of voice assistant itself, infotainment elements, and daily life support elements were selected and customer demand attributes were subdivided. As a result of the analysis, high recognition accuracy should be considered as a top priority in the development of car voice assistants. Infotainment elements that provide customized content based on driver's biometric information and usage habits showed lower priorities than expected, while functions related to driver safety such as vehicle condition notification, driving assistance, and security, also showed as the functions that should be developed preferentially. This study is meaningful in that it presented a new product development methodology suitable for the characteristics of AI-based intelligent new products with innovative characteristics through an excellent model combining KANO and TOPSIS.
Keywords
Artificial intelligence; Car voice assistance; Intelligence product; KANO; TOPSIS;
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1 Roy, R. and M. B. Sarkar, "Knowledge, firm boundaries, and innovation: Mitigating the incumbent's curse during radical technological change", Strategic Management Journal, Vol. 37, No. 5(2016), 835~854.   DOI
2 Mckinsey, global survey the state of ai in 2020, Mckinsey & Company, 2020.
3 Paraschivescu, A. O. and A. COTRLET, "Kano Model", Economy Transdisciplinarity Cognition, Vol. 15, No. 2(2012).
4 Sam, A., "Digital voice assistants are the future of in-vehicle control", Available at https://www.automotiveworld.com/articles/digital-voice-assistants-are-the-future-of-in-vehicle-control/ (Downloaded 28 August, 2021).
5 Shidpour, H., M. Shahrokhi, and A.Bernard, "A multi-objective programming approach, integrated into the TOPSIS method, in order to optimize product design; in three-dimensional concurrent engineering", Computers & Industrial Engineering, Vol. 64, No. 4(2013), 875~885.   DOI
6 Timko, M., "An experiment in continuous analysis", Center for Quality of Management Journal, Vol. 2, No. 4(1993), 17~20.
7 Schilling, M. A. and C. W. Hill, "Managing the new product development process: strategic imperatives", Academy of Management Perspectives, Vol. 12, No. 3(1998), 67~81.   DOI
8 Kwon, S. S., "The Recent and Future of Connected Car", Journal of the Korean Society of Automotive Engineers, Vol. 41, No. 12(2019), 67~70.
9 Lim, S. U. and Y. T. Park, "Potential Customer Satisfaction Improvement Index based on Kano Model", Journal of Korean Society for Quality Management, Vol. 38, No. 2(2010), 248~260.
10 Sauerwein, E., F. Bailom, K. Matzler, and H. H. Hinterhuber, "The Kano model: How to delight your customers", In International working seminar on production economics, Vol. 1, No. 4(1996), 313~327.
11 Shin, A. R. and S. B. Ree, "A study on the Development of Total Customer Satisfaction Co efficient based on Kano Model", IE interfaces, Vol. 20, No. 4(2007), 479~487.
12 Solomon, M. R., "Consumer Behavior: Buying, Having, and Being, Global Edition", Pearson, Vol. 14, No. 2(2011), 116~124.
13 Voicebot, In-car Voice Assistant Consumer Adoption Report, Voicebot ai, 2020.
14 Chung, D. H., Three questions leader should ask for successful AI adoption, MIT Technology Review Korea Edition, 2021.
15 Berger, C., R. Blauth, and D. Boger, "Kanos Methods For Understanding Customer-Defind Quality", 1993.
16 Chen, C. C. and M. C. Chuang, "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design", International journal of production economics, Vol. 114, No. 2(2008), 667~681.   DOI
17 Chung, D. H., AI Business Model, Chungrim, 2020.
18 Ghorbani, M., S. Mohammad Arabzad, and A. Shahin, "A novel approach for supplier selection based on the Kano model and fuzzy MCDM", International Journal of Production Research, Vol. 51, No. 18(2013), 5469~5484.   DOI
19 Griffin, A. and J. R. Hauser, "The voice of the customer", Marketing science, Vol. 12, No. 1(1993), 1~27.   DOI
20 Hwang, C. L. and K. Yoon, "Methods for multiple attribute decision making", In Multiple attribute decision making, (1981), 58~191. Springer, Berlin, Heidelberg.
21 IDC, "IDC Forecasts Improved Growth for Global AI Market in 2021", Available at https://www.idc.com/getdoc.jsp?containerId=prUS47482321. (Downloaded 27 August, 2021).
22 Jo, Y. J. and K. S. Kang, "Development of Kano model based logistics sevice quality classification and potential customer Satisfaction Improvement index", Journal of the Korea safety management & science, Vol. 19, No. 4(2017), 221~230.   DOI
23 Kano, N., "Attractive quality and must-be quality", Hinshitsu (Quality, The Journal of Japanese Society for Quality Control), Vol. 14, (1984), 39~48.
24 Kumar, R., K. Singh, and S. K. Jain, "A combined AHP and TOPSIS approach for prioritizing the attributes for successful implementation of agile manufacturing", International Journal of Productivity and Performance Management, 2020.
25 Hashim, A. M. and S. Z. M. Dawal, "Kano model and QFD integration approach for ergonomic design improvement", Procedia-Social and Behavioral Sciences, Vol. 57, (2012), 22~32.   DOI
26 Basfirinci, C. and A. Mitra, "A cross cultural investigation of airlines service quality through integration of Servqual and the Kano model", Journal of Air Transport Management, Vol. 42, (2015), 239~248.   DOI
27 Chen, C. C. and Y. C. Lin, "Integration of kano model into TOPSIS method for effective product assessment", In Applied Mechanics and Materials, Vol.145, (2012), 475~479. Trans Tech Publications Ltd.   DOI
28 Earley, S., "There is no AI without IA", IT Professional, Vol. 18, No. 3(2016), 58~64.   DOI
29 Jiao, J. and C. H. Chen, "Customer requirement management in product development: A review of research issues", Concurrent Engineering, Vol. 14, No. 3(2006), 173~185.   DOI
30 MarketsandMarkets, Market Research Report. MarketsandMarket, 2017.
31 Mikulic, J. and D. Prebezac, "A critical review of techniques for classifying quality attributes in the Kano model", Managing Service Quality: An International Journal, 2011.
32 Xu, Q., R. J. Jiao, X. Yang, M. Helander, H. M. Khalid, and A. Opperud, "An analytical Kano model for customer need analysis", Design studies, Vol. 30, No. 1(2009), 87~110.   DOI
33 Mkpojiogu, E. O. and N. L. Hashim, "Understanding the relationship between Kano model's customer satisfaction scores and self-stated requirements importance", SpringerPlus, Vol. 5, No. 1(2016), 1~22.   DOI
34 Olson, D. L., "Comparison of weights in TOPSIS models", Mathematical and Computer Modelling, Vol. 40, No. 7~8(2004), 721~727.   DOI
35 Roszkowska, E., "Multi-criteria decision making models by applying the TOPSIS method to crisp and interval data", Multiple Criteria Decision Making/University of Economics in Katowice, Vol. 6, No. 1(2011), 200~230.