과제정보
이 연구는 국립금오공과대학교 대학 학술연구비로 지원되었음(2022~2023)
참고문헌
- Bi, J.W., Liu, Y., Fan, Z.P., and Cambria, E. (2019), Modelling customer satisfaction from online reviews using ensemble neural network and effect-based kano model, International Journal of Production Research, 57(22), 7068-7088. https://doi.org/10.1080/00207543.2019.1574989
- Dellarocas, C.(2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms, Management science, 49(10), 1407-1424. https://doi.org/10.1287/mnsc.49.10.1407.17308
- Du, H., Ma, B., Niyato, D., Kang, J., Xiong, Z., and Yang, Z.(2023). Rethinking quality of experience for metaverse services: A consumer-based economics perspective, IEEE Network.
- Golf-Papez, M., Heller, J., Hilken, T., Chylinski, M., de Ruyter, K., Keeling, D. I., and Mahr, D.(2022). Embracing falsity through the metaverse: The case of synthetic customer experiences, Business Horizons, 65(6), 739-749. https://doi.org/10.1016/j.bushor.2022.07.007
- Gursoy, D., Malodia, S., and Dhir, A.(2022). The metaverse in the hospitality and tourism industry: An overview of current trends and future research directions, Journal of Hospitality Marketing & Management, 31(5), 527-534. https://doi.org/10.1080/19368623.2022.2072504
- Hutto, C., and Gilbert, E.(2014). Vader: A parsimonious rule-based model for sentiment analysis of social media text. Proceedings of the international AAAI conference on web and social media, 8(1), 216-225).
- Joung, J. and Kim, H. M.(2021). Approach for importance-performance analysis of product attributes from online reviews, Journal of Mechanical Design, 143(8), 081705.
- Kim, J. and Lim, C.(2021). Customer complaints monitoring with customer review data analytics: An integrated method of sentiment and statistical process control analyses, Advanced Engineering Informatics, 49, 101304.
- Lawson, C., and Montgomery, D.C.(2006). Logistic regression analysis of customer satisfaction data, Quality and Reliability Engineering International, 22(8), 971-984. https://doi.org/10.1002/qre.775
- Lee, H.J. and Gu, H.H.(2022). Empirical research on the metaverse user experience of digital natives, Sustainability, 14(22), 14747.
- Liu, S., Xie, J., and Wang, X.(2023). QoE enhancement of the industrial metaverse based on Mixed Reality application optimization, Displays, 79, 102463.
- Martilla, J.A., and James, J.C.(1977). Importance-performance analysis, Journal of Marketing, 41(1), 77-79. https://doi.org/10.1177/002224297704100112
- Mystakidis, S.(2022). Metaverse, Encyclopedia, 2(1), 486-497. https://doi.org/10.3390/encyclopedia2010031
- Nalbant, K.G. and Aydin, S.(2023). Development and transformation in digital marketing and branding with artificial intelligence and digital technologies dynamics in the Metaverse universe, Journal of Metaverse, 3(1), 9-18. https://doi.org/10.57019/jmv.1148015
- Nevelsteen, K.J.L.(2017), Virtual world, defined from a technological perspective and applied to video games, mixed reality, and the metaverse, Computer Animation and Virtual Worlds, 29(1), e1752.
- Park, S.M. and Kim, Y.G.(2022). A metaverse: Taxonomy, components, applications, and open challenges. IEEE Access, 10, 4209-4251. https://doi.org/10.1109/ACCESS.2021.3140175
- Porcu, S., Floris, A., and Atzori, L.(2022). Quality of experience in the metaverse: An initial analysis on quality dimensions and assessment, Proceedings of the 14th International Conference on Quality of Multimedia Experience (QoMEX), 1-4.
- Vlahovic, S., Suznjevic, M., and Skorin-Kapov, L.(2022). A survey of challenges and methods for Quality of Experience assessment of interactive VR applications, Journal on Multimodal User Interfaces, 16(3), 257-291. https://doi.org/10.1007/s12193-022-00388-0
- Zhou, Z., Chen, Z., and Jin, X. L.(2023). A review of the literature on the metaverse: definition, technologies, and user behaviors. Internet Research.