참고문헌
- Adanacioglu, H. and Albayram, Z. (2012). A conjoint analysis of consumer preference for traditional cheeses in Turkey: A case study on Tulum cheese, Korean Journal for Food Science of Animal Resources, 32, 458-466. https://doi.org/10.5851/kosfa.2012.32.4.458
- Annunziata, A. and Vecchio, R. (2013). Consumer perception of functional food: A conjoint analysis with probiotics, Food Quality and Preference, 28, 348-355. https://doi.org/10.1016/j.foodqual.2012.10.009
- Ariji, M. (2010). Conjoint analysis of consumer preference for blue-fin tuna, Fisheries Science, 76, 1023-1028. https://doi.org/10.1007/s12562-010-0297-4
- Berkson, J. (1955). Maximum likelihood and minimum Chi-square estimates of the logistic function, Journal of the American Statistical Association, 50, 130-162.
- Boyle, K. J., Holmes, T. P., Teisl, M. F. and Roe, B. (2001). A comparison of conjoint analysis response formats, American Journal of Agricultural Economics, 83, 441-454. https://doi.org/10.1111/0002-9092.00168
- Bridges, J. F. P., Lataille, A. T., Buttorff, C. B., White, S. and Niparko, J. K. (2012). Consumer preferences for hearing aid attributes: A comparison of rating and conjoint analysis methods, Trends in Amplification, 16, 40-48. https://doi.org/10.1177/1084713811434617
- Chakraborty, G., Ball, D., Gaeth, G. J. and Jun, S. (2002). The ability of rating and choice conjoint to predict market shares: A Monte Carlo simulation, Journal of Business Research, 55, 237-249. https://doi.org/10.1016/S0148-2963(00)00127-2
- Chen, Y. H., Hsu, I. C. and Lin, C. C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis, Journal of Business Research, 63, 1007-1014. https://doi.org/10.1016/j.jbusres.2009.01.023
- Choi, W. S., Seo, K. H. and Lee, S. B. (2012). A study on the development of HMR products of Korean foods using conjoint analysis, The Korean Journal of Culinary Research, 18, 156-167.
- Chung, H. S., Hong, H. D., Kim, K., Cho, C. W., Moskowitz, H. R. and Lee, S. Y. (2011). Consumer attitudes and expectations of ginseng food products assessed by focus groups and conjoint analysis, Journal of Sensory Studies, 26, 346-357. https://doi.org/10.1111/j.1745-459X.2011.00350.x
- Deliza, R., Rosenthal, A., Hedderley, D. and Jaeger, S. (2010). Consumer perception of irradiated fruit: A case study using choice-based conjoint analysis, Journal of Sensory Studies, 25, 184-200. https://doi.org/10.1111/j.1745-459X.2009.00250.x
- Eggers, F. and Eggers, F. (2011). Where have all the flowers gone? Forecasting green trends in the automobile industry with a choice-based conjoint adoption model, Technological Forecasting and Social Change, 78, 51-62. https://doi.org/10.1016/j.techfore.2010.06.014
- Elrod, T., Louviere, J. J. and Davey, K. S. (1992). An empirical comparison of rating-based and choice-based conjoint models, Journal of Marketing Research, 29, 368-377. https://doi.org/10.2307/3172746
- Endrizzi, I., Menichelli, E., Johansen, S. B., Olsen, N. V. and Naes, T. (2011). Handling of individual differences in rating-based conjoint analysis, Food Quality and Preference, 22, 241-254. https://doi.org/10.1016/j.foodqual.2010.10.005
- Gensler, S., Hinz, O., Skiera, B. and Theysohn, S. (2012). Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs, European Journal of Operation Research, 219, 368-378. https://doi.org/10.1016/j.ejor.2012.01.002
- Hong, J. S., Jeon, J. Y. and Kim, Y. S. (2012). Study on consumers' restaurant selection criteria by using conjoint analysis, Journal of East Asian Society of Dietary Life, 22, 315-321.
- Jervis, S. M., Lopetcharat, K. and Drake, M. A. (2012). Application of ethnography and conjoint analysis to determine key consumer attributes for latte-style coffee beverages, Journal of Sensory Studies, 27, 48-58. https://doi.org/10.1111/j.1745-459X.2011.00366.x
- Jin, B., Park, J. Y. and Ryu, J. S. (2010). Comparison of Chinese and Indian consumers' evaluative criteria when selecting denim jeans: A conjoint analysis, Journal of Fashion Marketing and Management, 14, 180-194. https://doi.org/10.1108/13612021011025492
- Jo, M. N. (2010). Conjoint analysis of restaurant attributes on customer intentions to choose restaurant, The Korean Journal of Culinary Research, 16, 254-268.
- Jung, U. (2012). Conjoint analysis on the academia-industrial cooperative research project attributes for culture technology research, Management Science and Financial Engineering, 29, 13-21. https://doi.org/10.7737/KMSR.2012.29.3.013
- Karniouchina, E. V., Moore, W. L., Rhee, B. and Verma, R. (2009). Issues in the use of ratings-based versus choice-based concomitant analysis in operations management research, European Journal of Operations Research, 197, 340-348. https://doi.org/10.1016/j.ejor.2008.05.029
- Kaufman, S., Kunzel, K. and Loock, M. (2013). Customer value of smart metering: Explosive evidence from a choice-based conjoint study in Switzerland, Energy Policy, 53, 229-239. https://doi.org/10.1016/j.enpol.2012.10.072
- Kim, B. Y. (2012). New design of choice sets for choice-based conjoint analysis, The Korean Journal of Applied Statistics, 25, 847-857. https://doi.org/10.5351/KJAS.2012.25.5.847
- Kim, B. Y. (2014). New method for preference measurement in ranking-based conjoint analysis, The Korean Journal of Applied Statistics, 27, 185-195. https://doi.org/10.5351/KJAS.2014.27.2.185
- Kim, Y. J. and Kim, B. S. (2012). An analysis on consumers' preference of agricultural products cultivated from plants factory system, Journal of the Korean Academia-Industrial Cooperation Society, 13, 5052-5059. https://doi.org/10.5762/KAIS.2012.13.11.5052
- Kim, B. Y., Kim, J. and Kahn, Y. (2012). Analysis of consumer preferences for cosmetic essence-for-men via choice-based conjoint with new design of choice sets, Korean Journal of Applied Statistics, 25, 987-997. https://doi.org/10.5351/KJAS.2013.25.6.987
- Kim, J. H., Kim, J. H. and Kim, M. K. (2010). Development of dental services markets segmentation and strategy by use of conjoint analysis, Korean Journal of Health Policy and Administration, 20, 1-20. https://doi.org/10.4332/KJHPA.2010.20.3.001
- Kuhfeld, W. F. and Tobias, R. D. (2005). Large factorial designs for product engineering and marketing research applications, Technometrics, 47, 132-141. https://doi.org/10.1198/004017004000000653
- Kutner, M. H., Nachtsheim, C. J., Neter, J. and Li, W. (2005). Applied Linear Statistical Models, McGraw Hill.
- Lebeau, K., Mierlo, J. V., Lebeau, P., Mairesse, O. and Macharis, C. (2012). The market potential for plugin hybrid and battery electric vehicles in Flanders: A choice-based conjoint analysis, Transportation Research Part D, 17, 592-597. https://doi.org/10.1016/j.trd.2012.07.004
- Lee, E. Y., Park, Y. W. and Lee, S. B. (2010). An exploratory study on selection attributes of food in the cultural tourism festival through conjoint analysis, The Korean Journal of Culinary Research, 16, 94-113.
- Lim, B., Ahn, K. and Park, U. (2006). A study on the comparison of the predictability among traditional and choice-based conjoint analysis in the choice of service products, Journal of Global Academy of Marketing Science, 16, 39-54.
- Mesias, F. J., Martinez-Carrasco, F., Martinez, J. M. and Gaspar, P. (2010). Functional and organic eggs as an alternative to conventional production: A conjoint analysis of consumers' preferences, Journal of the Science of Food and Agriculture, 91, 532-538.
- Moore, W. L. (2004). A cross-validity comparison of rating-based and choice-based conjoint analysis models. International Journal of Research in Marketing, 21, 299-312. https://doi.org/10.1016/j.ijresmar.2004.01.002
- Nikou, S., Bouwman, H. and Reuver, M. (2012). The potential of converged mobile telecommunication services: A conjoint analysis, The Journal of Policy, Regulation and Strategy for Telecommunications, Information and Media, 14, 21-35.
- Ong, F. S., Kitchen, P. F. and Chew, S. S. (2010). Marketing a consumer durable brand in Malaysia: A conjoint analysis and market simulation, Journal of Consumer Marketing, 27, 507-515. https://doi.org/10.1108/07363761011078244
- Park, R. J. and Lee, D. H. (2011). Information security risk: Application of the conjoint analysis, Journal of Korean Data and Information Science Society, 22, 207-215.
- Ryu, H. S. and Roh, E. K. (2010). Preference and subjective evaluation of washed fabric hand using conjoint analysis, Textile Research Journal, 80, 2167-2175. https://doi.org/10.1177/0040517510376270
- Sayadi, S., Roa, M. C. G. and Requena, J. C. (2005). Ranking versus scale rating in conjoint analysis: Evaluating landscapes in mountainous regions in southeastern Spain, Ecological Economics, 55, 539-550. https://doi.org/10.1016/j.ecolecon.2004.12.010
- Voelkel, J. G. (2005). The efficiencies of fractional factorial designs, Technometrics, 47, 488-494. https://doi.org/10.1198/004017005000000274