A collaborative apparel new product development process model using virtual reality and augmented reality technologies as enablers

References

• Al-Zu’bi, Z. M. F., & Tsinopoulos, C. (2012). Suppliers versus lead users: Examining their relative impact on product variety. Journal of Product Innovation Management, 29(4), 667–680. doi: 10.1111/j.1540-5885.2012.00932.x
   Web of Science ®Google Scholar
• Apeagyei, P. R. (2010). Application of 3D body scanning technology to human measurement for clothing Fit. International Journal of Digital Content Technology and Its Applications, 4(7), 58–68. doi: 10.4156/jdcta.vol4.issue7.6
   Google Scholar
• Bair, J., & Gereffi, G. (2003). Upgrading, uneven development, and jobs in the North American apparel industry. Global Networks, 3(2), 143–169. doi: 10.1111/1471-0374.00054
   Web of Science ®Google Scholar
• BOS online survey tool. Retrieved from https://www.onlinesurveys.ac.uk/
   Google Scholar
• Chesbrough, H. W. (2003). Open innovation: The new imperative for creating and profiting from technology. Boston, MA: Harvard Business School Press.
   Google Scholar
• Chiang, Y. H., & Hung, K. (2014). Team control mode, workers’ creativity, and new product innovativeness. R&D Management, 44(2), 124–136.
   Web of Science ®Google Scholar
• Creswell, J. W. (2007). Research design: Qualitative, quantitative and mixed method approaches (pp. 203–223). Thousand Oaks, CA: Sage.
   Google Scholar
• Cui, A. S., & Wu, F. (2017). The impact of customer involvement on new product development: Contingent and substitutive effects. Journal of Product Innovation Management, 34(1), 60–80. doi: 10.1111/jpim.12326
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. doi: 10.2307/249008
   Web of Science ®Google Scholar
• De Silva, R. K. J., & Rupasinghe, T. D. (2018). A new apparel product development framework for performance clothing industry. International Journal Product Development, 22(4), 276–292. doi: 10.1504/IJPD.2018.091136
   Google Scholar
• Eckert, C. M., Wynn, D. C., Clarkson, P. J., & Black, S. (2008, April 21–25). Process simulation to make personalisation economically viable. Proceedings of TMCE symposium, Turkey.
   Google Scholar
• Fang, E. (Er). (2008). Customer participation and the trade-off between new product innovativeness and speed to market. Journal of Marketing, 72(4), 90–104. doi: 10.1509/jmkg.72.4.90
   Web of Science ®Google Scholar
• Flynn, B. B., Sakakibara, S., Schroeder, R. G., Bates, K. A., & Flynn, E. J. (1990). Empirical research methods in operations management. Journal of Operations Management, 9(2), 250–284. doi: 10.1016/0272-6963(90)90098-X
   Google Scholar
• Gutiérrez, M. A. A., Vexo, F., & Thalmann, D. (2008). Stepping into virtual reality. London: Springer.
   Google Scholar
• Hren, G., & Jezernik, A. (2008). A framework for collaborative product review. The International Journal of Advanced Manufacturing Technology, 42(7–8), 822–830. doi: 10.1007/s00170-008-1622-2
   Web of Science ®Google Scholar
• Huang, R. G. (2010). RQDA: R-based qualitative data analysis: R package version 0.2-1. Retrieved from http://rqda.r-forge.r-project.org
   Google Scholar
• Jimeno, A., & Puerta, A. (2007). State of the art of the virtual reality applied to design and manufacturing processes. International Journal of Advanced Manufacturing Technology, 33(9–10), 866–874. doi: 10.1007/s00170-006-0534-2
   Web of Science ®Google Scholar
• Justin. (2012). The benefits of augmented reality in mobile marketing. Retrieved from http://www.mobilemarketingwatch.com/the-benefits-of-augmented-reality-in-mobile-marketing-21047/#
   Google Scholar
• King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755. doi: 10.1016/j.im.2006.05.003
   Web of Science ®Google Scholar
• Kipper, G., & Rampolla, J. (2013). Augmented reality: An emerging technologies guide to AR. Waltham, MA: Syngress/Elsevier.
   Google Scholar
• Kleinermann, F., Troyer, O. D., Romero, M. R., Pellens, B., & Bille, W. (2005). Designing semantic virtual reality applications. Proc. of the 2nd Intuition International Workshop, Senlis, France.
   Google Scholar
• Lau, A. K. W., Tang, E., & Yam, R. C. M. (2010). Effects of supplier and customer integration on product innovation and performance: Empirical evidence in Hong Kong manufacturers. Journal of Product Innovation Management, 27(5), 761–777. doi: 10.1111/j.1540-5885.2010.00749.x
   Web of Science ®Google Scholar
• lego_ar_studio_app – News Room – About Us LEGO.com. [online]. Retrieved from https://www.lego.com/en-us/aboutus/news-room/2017/december/lego-ar-studio
   Google Scholar
• Luca, L. M. D., & Atuahene-Gima, K. (2007). Market knowledge dimensions and cross-functional collaboration: Examining the different routes to product innovation performance. Journal of Marketing, 71(1), 95–112. doi: 10.1509/jmkg.71.1.95
   Web of Science ®Google Scholar
• Nambisan, S. (2002). Designing virtual customer environments for new product development: Toward a theory. The Academy of Management Review, 27(3), 392. doi: 10.5465/amr.2002.7389914
   Web of Science ®Google Scholar
• Nishikawa, H., Schreier, M., & Ogawa, S. (2013). User-generated versus designer-generated products: A performance assessment at Muji. International Journal of Research in Marketing, 30(2), 160–167. doi: 10.1016/j.ijresmar.2012.09.002
   Web of Science ®Google Scholar
• Ong, S. K., & Nee, A. Y. C. (2004). Virtual and augmented reality applications in manufacturing. London: Springer.
   Google Scholar
• Ottosson, S. (2010). Virtual reality in the product development process. Journal of Engineering Design, 13(2), 159–172. doi: 10.1080/09544820210129823
   Google Scholar
• Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98. doi: 10.1504/IJSSCI.2008.017590
   Google Scholar
• Senanayake, M. M., & Little, T. J. (2010). Mass customization: Points and extent of apparel customization. Journal of Fashion Marketing and Management: An International Journal, 14(2), 282–299. doi: 10.1108/13612021011046110
   Google Scholar
• Seth, A., Vance, J. M., & Oliver, J. H. (2011). Virtual reality for assembly methods prototyping: A review. Virtual Reality, 15(1), 5–20. doi: 10.1007/s10055-009-0153-y
   Web of Science ®Google Scholar
• Su, C., Chen, Y., & Sha, D. (2006). Linking innovative product development with customer knowledge: A data-mining approach. Technovation, 26(7), 784–795. doi: 10.1016/j.technovation.2005.05.005
   Web of Science ®Google Scholar
• Tokatli, N. (2013). Toward a better understanding of the apparel industry: A critique of the upgrading literature. Journal of Economic Geography, 13(6), 993–1011. doi: 10.1093/jeg/lbs043
   Web of Science ®Google Scholar
• Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. doi: 10.1287/isre.11.4.342.11872
   Web of Science ®Google Scholar
• Virtual Outfits | A virtual fitting room to dress up your avatar. Retrieved from http://www.virtualoutfits.com/
   Google Scholar
• Walter, L., Kartsounis, G., & Carosio, S. (2009). Transforming clothing production into a demand-driven, knowledge-based, high-tech industry : The leapfrog paradigm. London: Springer.
   Google Scholar