Combining conjoint analysis with Kano model to optimize product varieties of smart phones: a VIKOR perspective

References

• Ayağ, Z., “An integrated approach to evaluating conceptual design alternatives in a new product development environment,” International Journal of Production Research, 43(4), 687–713 (2005).10.1080/00207540512331311831
   Web of Science ®Google Scholar
• Ayağ, Z. and R. G. özdemir, “An analytic network process-based approach to concept evaluation in a new product development environment,” Journal of Engineering Design, 18(3), 209–226 (2007).10.1080/09544820600752740
   Web of Science ®Google Scholar
• Berger, C., R. Blauth, D. Boger, C. Bolster, G. Burchill, W. DuMouchel, F. Pouliot, R. Richter, A. Rubinoff, D. Shen, M. Timko and D. Walden, “Kano’s method for understanding customer-defined quality,” Center for Quality of Management Journal, 2(4), 3–35 (1993).
   Google Scholar
• Chang, Y. F., C. S. Chen and H. Zhou, “Smart phone for mobile commerce,” Computers Standards & Interfaces, 31, 740–747 (2009).
   Web of Science ®Google Scholar
• 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, 114, 667–681 (2008).10.1016/j.ijpe.2008.02.015
   Web of Science ®Google Scholar
• Chuang, M. C., C. C. Chang and S.-H. Hsu, “Perceptual factors underlying user preferences toward product form of mobile phones,” International Journal of Industrial Ergonomics, 27, 247–258 (2001).10.1016/S0169-8141(00)00054-8
   Web of Science ®Google Scholar
• Crawford, M. and A. D. Benedetto, New Products Management. 9th ed., McGraw-Hill, New York, NY (2008).
   Google Scholar
• Fogliatto, F. S., Giovani J. C. and D. Siverira, “Mass customization: A method for market segmentation and choice menu design,” International Journal of Production Economics, 111, 606–622 (2008).10.1016/j.ijpe.2007.02.034
   Web of Science ®Google Scholar
• Gustafsson, A., F. Ekdahl and B. Bergman, “Conjoint analysis: A useful tool in the design process,” Total Quality Management & Business Excellence, 10(3), 327–343 (1999).
   Google Scholar
• Hwang, C. L. and K. Yoon, Multiple Criteria Decision Making: Methods and Applications, Springer-Verlag, New York, NY (1981).
   Google Scholar
• Işıklar, G. and G. Büyüközkan, “Using a multi-criteria decision making approach to evaluate mobile phone alternatives,” Computers Standards & Interfaces, 29, 265–274 (2007).
   Web of Science ®Google Scholar
• Jiao, J. and M. M. Tseng, “A methodology of developing product family architecture for mass customization,” Journal of Intelligent Manufacturing, 10, 3–20 (1999).10.1023/A:1008926428533
   Web of Science ®Google Scholar
• Jiao, J. and Y. Zhang, “Product portfolio planning with customer-engineering interaction,” IIE Transactions, 37, 801–814 (2005).10.1080/07408170590917011
   Web of Science ®Google Scholar
• Kano, N., “Attractive quality and must-be quality,” The Journal of Japanese Society for Quality Control, 14(2), 39–48 (1984).
   Google Scholar
• Kwong, C. K., Y. Chen and K. Y. Chan, “A methodology of integrating marketing with engineering for defining design specifications of new products,” Journal of engineering Design, 22(3), 201–213 (2011).10.1080/09544820903173180
   Web of Science ®Google Scholar
• Lai, H. H., Y. C. Lin, C. H. Yeh and C. H. Wei, “User-oriented design for the optimal combination on product design,” International Journal of Production Economics, 100, 253–267 (2006).10.1016/j.ijpe.2004.11.005
   Web of Science ®Google Scholar
• Liu, C., A. Ramirez-Serrano and G. Yin, “Customer-driven product design and evaluation method for collaborative design environments,” Journal of Intelligent Manufacturing, 22, 751–764 (2011).10.1007/s10845-009-0334-2
   Web of Science ®Google Scholar
• Liu, E. and S. W. Hsiao, “ANP-GP approach for product variety design,” International Journal of Advanced Manufacturing Technology, 29, 216–225 (2006).10.1007/s00170-005-2506-3
   Web of Science ®Google Scholar
• Luce, R. D., “Simultaneous conjoint measurement: A new type of fundamental measurement,” Journal of Mathematical Psychology, 1, 1–27 (1964).10.1016/0022-2496(64)90015-X
   Web of Science ®Google Scholar
• Luor, T., H. P. Lu, K. M. Chien and T. C. Wu, “Contribution to quality research: A literature review of Kano’s model from 1998 to 2012,” Total Quality Management & Business Excellence (2012).
   Google Scholar
• Opricovic, S. and G. H. Tzeng, “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS,” European Journal of Operational Research, 156, 445–455 (2004).10.1016/S0377-2217(03)00020-1
   Web of Science ®Google Scholar
• Oküdan, G. E., M. C. Chiu and T. H. Kim, “Perceived feature utility-based product family design: A mobile phone case study,” Journal of Intelligent Manufacturing, 24(5), 935–949 (2013).10.1007/s10845-012-0699-5
   Web of Science ®Google Scholar
• Rashid, M. M., “A review of state-of-art on Kano model for research direction,” International Journal of Engineering Science and Technology, 2(12), 7481–7490 (2010).
   Google Scholar
• Tontini, G., “Integrating the Kano model and QFD for designing new products,” Total Quality Management & Business Excellence, 18(6), 599–612 (2007).
   Web of Science ®Google Scholar
• Wang, C. H., “Apply robust segmentation to the service industry using kernel induced fuzzy clustering techniques,” Expert Systems with Applications, 37(12), 8395–8400 (2010).10.1016/j.eswa.2010.05.042
   Web of Science ®Google Scholar
• Wang, C. H. and O. Z. Hsueh, “A novel approach to incorporate customer preference and perception into product configuration: a case study on smart pads,” Computer Standards & Interfaces, 35(5), 549–556 (2013).
   Web of Science ®Google Scholar
• Wang, C. H. and C. W. Shih, “Integrating conjoint analysis with quality function deployment to carry out customer-driven concept development for ultrabooks,” Computer Standards & Interfaces, 36(1), 89–96 (2013).
   Web of Science ®Google Scholar
• Zhang, Y., J. Jiao and Y. Ma, “Market segmentation for product family positioning based on fuzzy clustering,” Journal of engineering Design, 18(3), 227–241 (2007).10.1080/09544820600752781
   Web of Science ®Google Scholar