Application of affective engineering to service industries: feelings from airlines’ in-flight service elementsFootnote^†

† This paper was awarded as the Best Paper at the 20th Quality Management and Organizational Development (QMOD) Conference held in Denmark.

References

• An, M., & Noh, Y. (2009). Airline customer satisfaction and loyalty: Impact of in-flight service quality. Service Business, 3(3), 293–307. doi: 10.1007/s11628-009-0068-4
   Web of Science ®Google Scholar
• Ayas, E., Eklund, J., & Ishihara, S. (2008). Affective design of waiting areas in primary healthcare. The TQM Journal, 20(4), 389–408. doi: 10.1108/17542730810881366
   Google Scholar
• Beitia, A., de Heredia, A. G., Amondarain, A. B., & Vergara, M. (2011). Kansei engineering and the influence of gender in human perception. Proceedings of the 15th International Congress on Project Engineering, 223–231, Huesca.
   Google Scholar
• Belobaba, P., Odoni, A., & Barnhart, C. (2016). The global airline industry. West Sussex: Wiley.
   Google Scholar
• Bitran, G. R., & Hoech, J. (1990). The humanization of service: Respect at the moment of truth. MIT Sloan Management Review, 31(2), 89–96.
   Google Scholar
• Chen, M. C., Chang, K. C., Hsu, C. L., & Xiao, J. H. (2015). Applying a Kansei engineering-based logistics service design approach to developing international express services. International Journal of Physical Distribution & Logistics Management, 45(6), 618–646. doi: 10.1108/IJPDLM-10-2013-0251
   Web of Science ®Google Scholar
• Dahlgaard, J. J., Schütte, S., Ayas, E., & Dahlgaard-Park, S. M. (2008). Kansei/affective engineering design: A methodology for profound affection and attractive quality creation. The TQM Journal, 20(4), 299–311. doi: 10.1108/17542730810881294
   Google Scholar
• Etemad-Sajadi, R., Way, S. A., & Bohrer, L. (2016). Airline passenger loyalty: The distinct effects of airline passenger perceived pre-flight and in-flight service quality. Cornell Hospitality Quarterly, 57(2). 219–225. doi: 10.1177/1938965516630622
   Web of Science ®Google Scholar
• Gourdin, K. N. (1988). Bringing quality back to commercial air travel. Transportation Journal, 27(3), 23–29.
   Web of Science ®Google Scholar
• Gursoy, D., Chen, M. H., & Kim, H. J. (2005). The US airlines relative positioning based on attributes of service quality. Tourism Management, 26(1), 57–67. doi: 10.1016/j.tourman.2003.08.019
   Web of Science ®Google Scholar
• ICAO (2015). Annual Report 2015. International Civil Aviation Organization.
   Google Scholar
• Knutson, B. J. (1988). Ten laws of customer satisfaction. The Cornell Hotel and Restaurant Administration Quarterly, 29(3), 14–17. doi: 10.1177/001088048802900309
   Google Scholar
• Lee, J. M. (2017, August 24). 8 out of 10, appears to use airlines more than once a year. Travel Daily. Retrieved from http://www.traveldaily.co.kr
   Google Scholar
• Lee, J. M., Kim, Y. S., & Lee, D. W. (2010). Analyzing the service blueprint for aircraft cabin service. The Korean Society for Quality Management, 38(4), 593–600.
   Google Scholar
• Nagamachi, M. (1995). Kansei engineering: A new ergonomic consumer-oriented technology for product development. International Journal of Industrial Ergonomics, 15(1), 3–11. doi: 10.1016/0169-8141(94)00052-5
   Web of Science ®Google Scholar
• Nagamachi, M. (2008). Perspectives and the new trend of Kansei/affective engineering. The TQM Journal, 20(4), 290–298. doi: 10.1108/17542730810881285
   Google Scholar
• Nishino, T., & Nagamachi, M. (2003). Extraction of colour Kansei design rules using rough set analysis. Proceedings of Japan Ergonomics Society 43th Triennial Congress, 46–49.
   Google Scholar
• Nishino, T., Nagamachi, M., & Tanaka, H. (2006). Variable precision Bayesian rough set model and its application to Kansei engineering. In J. F. Peters & A. Skowron (Eds.), Transactions on rough sets V (pp. 190–206). Heidelberg: Springer.
   Google Scholar
• Nishino, T., Satsuta, R., & Nagamachi, M. (2008). Identification of customers’ latent Kansei needs and product design by rough set based approach. Proceedings of the 11th QMOD conference (pp. 341–350), Linköping University Electronic Press.
   Google Scholar
• Osgood, C. E. (1952). The nature and measurement of meaning. Psychological Bulletin, 49(3), 197–237. doi: 10.1037/h0055737
   PubMed Web of Science ®Google Scholar
• Osgood, C. E. & Suci, C. J. (1957). The measurement of meaning. Champaign, IL: University of Illinois Press.
   Google Scholar
• Park, J. W., Robertson, R., & Wu, C. L. (2004). The effect of airline service quality on passengers’ behavioural intentions: A Korean case study. Journal of Air Transport Management, 10(6), 435–439. doi: 10.1016/j.jairtraman.2004.06.001
   Web of Science ®Google Scholar
• Park, J. W., Robertson, R., & Wu, C. L. (2006). Modelling the impact of airline service quality and marketing variables on passengers’ future behavioural intentions. Transportation Planning and Technology, 29(5), 359–381. doi: 10.1080/03081060600917686
   Web of Science ®Google Scholar
• Prędki, B., Slowinski, R., Stefanowski, J., Susmaga, R., & Wilk, S. (1998). ROSE – Software implementation of the rough Set theory, In L. Polkowski, and A. Skowron, (Eds). Rough sets and current trends in computing: Lecture notes in artificial intelligence, (pp. 1424, 605–608). Berlin: Springer-Verlag.
   Google Scholar
• Prędki, B., & Wilk, S. (1999). Rough set based data exploration using ROSE system, In Ras, Z. W. & Skowron, A. (Eds). Foundations of intelligent systems: Lecture notes in artificial intelligence, (pp. 1609, 172–180) Berlin: Springer-Verlag.
   Google Scholar
• Rhoades, D. L., & Waguespack, B. (1999). Better safe than service? The relationship between service and safety quality in the US airline industry. Managing Service Quality: An International Journal, 9(6), 396–401. doi: 10.1108/09604529910304143
   Google Scholar
• Rupp, N. G., & Liu, N. (2016). Product Quality Choices and Competition: Evidence from the US Airline Industry. Retrieved from https://ssrn.com/abstract=2837025
   Google Scholar
• Schütte, S. (2005). Engineering emotional values in product design: Kansei engineering in development (Doctoral dissertation). Linkoping: Institute of Technology, Linkoping University.
   Google Scholar
• Schütte, S. (2006). Developing the space of product properties supporting Kansei engineering procedure. Kansei Engineering International, 5(4), 11–19. doi: 10.5057/kei.5.4_11
   Google Scholar
• Shieh, M. D., & Yeh, Y. E. (2013). Developing a design support system for the exterior form of running shoes using partial least squares and neural networks. Computers & Industrial Engineering, 65(4), 704–718. doi: 10.1016/j.cie.2013.05.008
   Web of Science ®Google Scholar
• Trevisan, B., Willach, A., Jakobs, E. M., & Schmitt, R. (2010). Gender-specific Kansei engineering: Using AttrakDiff2. Proceedings of the International Conference on Electronic Healthcare (pp. 167–174). Berlin: Springer.
   Google Scholar
• Tsaur, S. H., Chang, T. Y., & Yen, C. H. (2002). The evaluation of airline service quality by fuzzy MCDM. Tourism Management, 23(2), 107–115. doi: 10.1016/S0261-5177(01)00050-4
   Web of Science ®Google Scholar