참고문헌
- Alter, A. L., & Oppenheimer, D. M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and Social Psychology Review, 13(3), 219-235. https://doi.org/10.1177/1088868309341564
- Barsalou, L.W. (1983). Ad hoc categories. Memory and Cognition, 11(3), 211-227. https://doi.org/10.3758/BF03196968
- Brewer, M.B., & Crano, W. D. (2000). Research design and issues of validity, Handbook of Research Methods in Social and Personality Psychology (pp.3-16), New York: Cambridge University Press.
- Chernev, A. (2005). Feature complementarity and assortment in choice. Journal of Consumer Research, 31(4), 748-759. https://doi.org/10.1086/426608
- Dahl, D. W., Chattopadhyay, A., & Gorn, G. J. (1999).The use of visual mental imagery in new product design. Journal of Marketing Research, 36(1), 18-28. https://doi.org/10.1177/002224379903600102
- De Bellis, E., & Johar, G. V. (2020). Autonomous shopping systems: Identifying and overcoming barriers to consumer adoption. Journal of Retailing, 96(1), 74-87. https://doi.org/10.1016/j.jretai.2019.12.004
- Fortune Business Insight (2021a). Internet of Things (IoT) market size, share and COVID-19 impact analysis, by component (platform, solution and services), by end-use industry (BFSI, retail, government, healthcare, manufacturing, agriculture, sustainable energy, transportation, IT & telecom, others), and regional forecast, 2021-2028. Retrieved December 18, 2021, from https://www.fortunebusinessinsights.com/industry-reports/internet-of-things-iot-market-100307.
- Fortune Business Insight (2021b). IoT market to reach $1,854.76 billion by 2028; Microsoft collaborates with Cisco to integrate Azure platform and strengthen growth. Retrieved December 18, 2021, from https://www.fortunebusinessinsights.com/pressrelease/internet-of-things-iot-market-9155.
- Gibbert, M., & Mazursky, D. (2009). How successful would a phone-pillow be: Using dual process theory to predict the success of hybrids involving dissimilar products. Journal of Consumer Psychology, 19(4), 652-660. https://doi.org/10.1016/j.jcps.2009.05.014
- Goodstein, R.C. (1993). Category-based applications and extensions in advertising: motivating more extensive ad processing. Journal of Consumer Research, 20(1), 87-99. https://doi.org/10.1086/209335
- Gutman, J. (1982). A means-end chain model based on consumer categorization process. Journal of Marketing, 46(2), 60-72. https://doi.org/10.2307/3203341
- Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [white paper], Retrieved from http://www.afhayes.com/public/process2012.pdf.
- Hernandez, J. M. C., Wright, S. A., & Rodrigues, F. F. (2015). Attributes versus benefits: The role of construal levels and appeal type on the persuasiveness of marketing messages. Journal of Advertising. 44(3), 243-253. https://doi.org/10.1080/00913367.2014.967425
- Hoeffler, S. (2003). Measuring preferences for really new products. Journal of Marketing Research, 40(4), 406-420. https://doi.org/10.1509/jmkr.40.4.406.19394
- Hopp, C., Antons, D., Kaminski, J., & Salge, T. O. (2018). Disruptive innovation: conceptual foundations, empirical evidence, and research opportunities in the digital age. Journal of Product Innovation Management. 35(3), 446-457. https://doi.org/10.1111/jpim.12448
- Jiang, Z., Guan, C., & de Haaji, I. L. (2020). Congruity and processing fluency: An analysis on the effectiveness of the embedded online video advertising. Asia Pacific Journal of Marketing and Logistics. 32(5), 1070-1088. https://doi.org/10.1108/APJML-03-2019-0128
- Khan, U., & Dhar, R. (2010). Price-framing effects on the purchase of hedonic and utilitarian bundles. Journal of Marketing Research. 43(3), 374-385. https://doi.org/10.1509/jmkr.43.3.374
- Labroo, A., & Lee, A. Y. (2006). Between two brands: A goal fluency account of brand evaluation. Journal of Marketing Research, 43(3), 374-385. https://doi.org/10.1509/jmkr.43.3.374
- Lamberton, C. P., & Diehl, K. (2013). Retail choice architecture: the effects of benefit- and attribute-based assortment organization on consumer perception and choice. Journal of Consumer Research, 40(3), 393-411. https://doi.org/10.1086/671103
- Lattin, J. M., & McAlister, L. (1985). Using a variety -seeking model to identify substitute and complementary relationship among competing products. Journal of Marketing Research, 22(3), 330-339. https://doi.org/10.2307/3151429
- Lee, A. Y., & Labroo, A. A. (2004). The effect of conceptual and perceptual fluency on brand evaluation. Journal of Marketing Research, 41(2), 151-165. https://doi.org/10.1509/jmkr.41.2.151.28665
- Lee, Y., & O'Connor, G. C. (2003). New product launch strategy for network effects products. Journal of the Academy of Marketing Science, 31(3), 241-255. https://doi.org/10.1177/0092070303031003003
- Ma, Z., Gill, T., & Jiang, Y. (2015). Core versus peripheral innovations: The effect of innovation locus on consumer adoption of new products. Journal of Marketing Research, 52(3), 309-244. https://doi.org/10.1509/jmr.13.0337
- Maheswaran, D., & Meyers-Levy, J. (1990). The influence of message framing and issue involvement. Journal of Marketing Research, 27(3), 361-367. https://doi.org/10.2307/3172593
- Mani, Z., & Chouk, I. (2017). Drivers of consumers' resistance to smart products. Journal of Marketing Management, 33(1-2), 76-97. https://doi.org/10.1080/0267257X.2016.1245212
- Martin, I. M., & Stewart, D. W. (2001). The differential impact of goal congruency on attitudes, intentions, and the transfer of brand equity. Journal of Marketing Research, 38(4), 471-484. https://doi.org/10.1509/jmkr.38.4.471.18912
- Mathew, V., & Thomas, S. (2018). Direct and indirect effect of brand experience on true brand loyalty: Role of involvement. Asia Pacific Journal of Marketing and Logistics, 30(3), 725-748. https://doi.org/10.1108/apjml-08-2017-0189
- Meyers-Levy, J., & Tybout, A. M. (1989). Schema congruity as a basis for product evaluation. Journal of Consumer Research, 16(1), 39-54. https://doi.org/10.1086/209192
- Mueller, M. L., Tauber, S. K., & Dunlosky, J. (2013). Contributions of beliefs and processing fluency to the effect of relatedness on judgments of learning. Psychonomic Bulletin and Review, 20(2), 378-384. https://doi.org/10.3758/s13423-012-0343-6
- Noseworthy, T. J., & Trudel, R. (2011). Looks interesting, but what does it do? Evaluation of incongruent product form depends on positioning. Journal of Marketing Research, 48(6), 1008-1019. https://doi.org/10.1509/jmr.10.0384
- Park, C. W., & Lessig, V. P. (1981). Familiarity and its impact on consumer decision biases and heuristics. Journal of Consumer Research, 8(2), 223-231. https://doi.org/10.1086/208859
- Park, C. W., Jun, S. Y., & Shocker, A. D. (1996). Composite branding alliances: An investigation of extension and feedback effects. Journal of Consumer Research, 33(4), 453-466.
- Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64-88.
- Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891. https://doi.org/10.3758/BRM.40.3.879
- Raff, S., Wentzel, D., & Obwegeser, N. (2020). Smart products: Conceptual review, synthesis, and research directions. Journal of Product Innovation Management, 37(5), 379-404. https://doi.org/10.1111/jpim.12544
- Ratneshwar, S., Pechmann, C., & Shocker, A. D. (1996). Goal-derived categories and the antecedents of across-category consideration. Journal of Consumer Research, 23(3), 240-250. https://doi.org/10.1086/209480
- Ratneshwar, S., Barsalou, L. W., Pechmann, C., & Moorem M. (2001). Goal-derived categories: The role of personal and situational goal in category representations. Journal of Consumer Psychology, 10(3), 147-157. https://doi.org/10.1207/s15327663jcp1003_3
- Reinders, M. J., Frambach, R. T., & Schoormans, J. P. L. (2010). Using product bundling to facilitate the adoption process of radical innovations. Journal of Product Innovation and Management, 27(7), 1127-1140. https://doi.org/10.1111/j.1540-5885.2010.00775.x
- Rijsdijk, S. A., Hultnik, E. J., & Diamantopoulos, A. (2007). Product intelligence. Its conceptualization, measurement and impact on consumer satisfaction, Journal of the Academy of Marketing Science, 35(3), 340-356. https://doi.org/10.1007/s11747-007-0040-6
- Rosch, E., & Mervis, C. B. (1975). Family resemblances: Studies in the internal structure of categories. Cognitive Psychology, 7(4), 573-605. https://doi.org/10.1016/0010-0285(75)90024-9
- Samu, S., H. Shanker, K., & Smith, R. E. (1999). Using advertising alliances for new product introduction: Interactions between product complementarity and promotional strategies. Journal of Marketing, 63(1), 57-74. https://doi.org/10.2307/1252001
- Stremersch, S., & Tellis, G. J. (2002). Strategic bundling of products and prices: A new synthesis for marketing. Journal of Marketing, 66(1), 55-72. https://doi.org/10.1509/jmkg.66.1.55.18455
- Valencia, A., Mugge, R., Schoormans, J. P. L., & Schifferstein, H. N. J. (2015). The design of smart product-service systems (PSSs): An exploration of design characteristics. International Journal of Design, 9(1), 13-28.
- Van Osselaer, s. M. J., & Janiszewski, C. (2012). A goal-based model of product evaluation and choice. Journal of Consumer Research, 39(2), 260-292. https://doi.org/10.1086/662643
- Yan, R., & Bandyopadhyay, S. (2011). The profit benefits of bundling pricing of complementary products. Journal of Retailing and Consumer Services, 18(4), 355-361. https://doi.org/10.1016/j.jretconser.2011.04.001
- Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341-352. https://doi.org/10.1086/208520
- Zhao, M., Hoeffler, S., & Dahl, D. W. (2012). Imagination difficulty and new product evaluation. Journal of Product Innovation Management, 29(S1), 76-90. https://doi.org/10.1111/j.1540-5885.2012.00951.x