Acknowledgement
본 연구는 IFDC 2023 에서 요약본으로 발표한 것으로, 이 논문은 장안대학교 2023 년도 연구비 지원에 의하여 연구되었음.
References
- Bianchi, F., Terragni, S., Hovy, D., Nozza, D., & Fersini, E. (2020). Cross-lingual contextualized topic models with zero-shot learning. arXiv preprint arXiv:2004.07737.
- Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of machine Learning research, 3(Jan), 993-1022.
- Bodrunova, S. S., Orekhov, A. V., Blekanov, I. S., Lyudkevich, N. S., & Tarasov, N. A. (2020). Topic detection based on sentence embeddings and agglomerative clustering with markov moment. Future Internet, 12(9), 144. https://doi.org/10.3390/fi12090144
- Dennis, C., Murphy, J., Marsland, D., Cockett, T., & Patel, T. (2002). Measuring image: shopping centre case studies. The International Review of Retail, Distribution and Consumer Research, 12(4), 355-373. https://doi.org/10.1080/09593960210151153
- Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.
- Fevotte, C., & Idier, J. (2011). Algorithms for nonnegative matrix factorization with the β-divergence. Neural computation, 23(9), 2421-2456. https://doi.org/10.1162/NECO_a_00168
- Gao, T. L., & Ko, H. J. (2017). A study on the last mile delivery for B2C fulfillment of fresh food e-commerce in China. E-Trade Review, 15(2), 51-71. https://doi.org/10.17255/ETR.15.2.201705.51
- Griffis, S. E., Rao, S., Goldsby, T. J., & Niranjan, T. T. (2012). The customer consequences of returns in online retailing: An empirical analysis. Journal of Operations Management, 30(4), 282-294. https://doi.org/10.1016/j.jom.2012.02.002
- Griffiths, T, L., & Steyvers, M. (2004). Finding scientific topics, in Proceedings of the National Academy of Sciences, 101 (Supplement 1), 5228-5235. https://doi.org/10.1073/pnas.0307752101.
- Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794.
- Gross, M. (2015). Exploring the acceptance of technology for mobile shopping: An empirical investigation among Smartphone users. The International Review of Retail, Distribution and Consumer Research, 25(3), 215-235. https://doi.org/10.1080/09593969.2014.988280
- Holmes, A., Byrne, A., & Rowley, J. (2014). Mobile shopping behaviour: Insights into attitudes, shopping process involvement and location. International Journal of Retail & Distribution Management, 42(1), 25-39. https://doi.org/10.1108/IJRDM-10-2012-0096
- Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent dirichlet allocation(LDA) and topic modeling: Models, applications, a survey. Multimedia Tools and Applications, 78(11), 15169-15211. https://doi.org/10.1007/s11042-018-6894-4
- Jiang, Y., Lai, P., Chang, C. H., Yuen, K. F., Li, S., & Wang, X. (2021). Sustainable management for fresh food e-commerce logistics services. Sustainability, 13(6). 3456; https://doi.org/10.3390/su13063456
- Kim, S. W., & Yang, K. D. (2022). Topic model augmentation and extension method using LDA and BERTopic. Korean Society for Information Management, 39(3), 99-132.
- Ko, Y. S., Lee, S. B., Cha, M. J., Kim, S. D., Lee, J. H., Ham, J. Y., & Song, M. (2022). Topic modeling insomnia social media corpus using BERTopic and building automatic deep learning classification model. Korean Society for Information Management, 39(2), 111-129.
- Kollmann, T., Kuckertz, A., & Kayser, I. (2012). Cannibalization or synergy? Consumers' channel selection in online-offline multichannel systems. Journal of Retailing and Consumer Services, 19(2), 186-194. https://doi.org/10.1016/j.jretconser.2011.11.008
- Korcham (2021). Distribution logistics statistics for 2021. Seoul: Korea Chamber of Commerce and Industry Distribution and Logistics Agency.
- Li, H., & Kannan, P. K. (2014). Attributing conversions in a multichannel online marketing environment: An empirical model and a field experiment. Journal of Marketing Research, 51(1), 40-56. https://doi.org/10.1509/jmr.13.0050
- MOTIE(2022). Ministry of Trade, Industry and Energy. Annual '21, December '21 sales trends of major distribution companies. Press release dated January 27, 2022.
- Nguyen, D. H., de Leeuw, S., Dullaert, W., & Foubert, B. P. (2019). What is the right delivery option for you? Consumer preferences for delivery attributes in online retailing. Journal of Business Logistics, 40(4), 299-321. https://doi.org/10.1111/jbl.12210
- Park, C. W. (2015). Practical distribution theory. Seoul: Cheongnam Book Publishing House.
- Shang, G., Pekgun, P., Ferguson, M., & Galbreth, M. (2017). How much do online consumers really value free product returns? Evidence from eBay. Journal of Operations Management, 53, 45-62. https://doi.org/10.1016/j.jom.2017.07.001
- Tokar, T., Williams, B. D., & Fugate, B. S. (2020). I heart logistics-Just don't ask me to pay for it: Online shopper behavior in response to a delivery carrier upgrade and subsequent shipping charge increase. Journal of Business Logistics, 41(3), 182-205. https://doi.org/10.1111/jbl.12239
- Yang, H. C. (2022). Analysis of distribution industry research trends using BERTopic and LDA. Journal of Creativity and Innovation (JCI), 15(4), 71-103.
- Yang, W. R., & Yang, H. C. (2022). Topic modeling analysis of social media marketing using BERTopic and LDA. Journal of Industrial Disribution & Business, 13(9), 39-52.
- Youn, M. K., & Kim, Y. O. (2017). Distribution theory. Seoul: Dunam Publishing House.