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Research Trend Analysis on Customer Satisfaction in Service Field Using BERTopic and LDA

  • Received : 2022.11.27
  • Accepted : 2022.12.05
  • Published : 2022.12.30

Abstract

Purpose: The purpose of this study is to derive various ways to realize customer satisfaction for the development of the service industry by exploring research trends related to customer satisfaction, which is presented as an important goal in the service industry. Research design, data and methodology: To this end, 1,456 papers with English abstracts using scienceON were used for analysis. Using Python 3.7, word frequency and co-occurrence analysis were confirmed, and topics related to research trends were classified through BERTopic and LDA. Results: As a result of word frequency and co-occurrence frequency analysis, words such as quality, intention, and loyalty appeared frequently. As a result of BERTopic and LDA, 11 topics such as 'catering service' and 'brand justice' were derived. As a result of trend analysis, it was confirmed that 'brand justice' and 'internet shopping' are emerging as relatively important research topics, but CRM is less interested. Conclusions: The results of this study showed that the 7P marketing strategy is working to some extent. Therefore, it is proposed to conduct research related to acquisition of good customers through service price, customer lifetime value application, and customer segmentation that are expected to be needed for the development of the service industry.

Keywords

References

  1. Bakti, I. G. M. Y., Rakhmawati, T., Sumaedi, S., Widianti, T., Yarmen, M., & Astrini, N. J. (2020). Public transport users' WOM: an integration model of the theory of planned behavior, customer satisfaction theory, and personal norm theory. Transportation Research Procedia, 48, 3365-3379. https://doi.org/10.1016/j.trpro.2020.08.117
  2. Berger, P. D., & Nasr, N. I. (1998). Customer lifetime value: Marketing models and applications. Journal of interactive marketing, 12(1), 17-30. https://doi.org/10.1002/(SICI)1520-6653(199824)12:1<17::AID-DIR3>3.0.CO;2-K
  3. Blattberg, R. C., J. Deighton. 1996. Manage marketing by the customer equity test. Harvard Business Review, (July- August) 136-44.
  4. Blei, D. M., & Lafferty, J. D. (2006, June). Dynamic topic models. In Proceedings of the 23rd international conference on Machine learning (pp. 113-120).
  5. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of machine Learning research, 3(Jan), 993-1022.
  6. Chang, W., Chang, C., & Li, Q. (2012). Customer lifetime value: A review. Social Behavior and Personality: an international journal, 40(7), 1057-1064. https://doi.org/10.2224/sbp.2012.40.7.1057
  7. Chen, C. F., & Tsai, M. H. (2008). Perceived value, satisfaction, and loyalty of TV travel product shopping: Involvement as a moderator. Tourism management, 29(6), 1166-1171. https://doi.org/10.1016/j.tourman.2008.02.019
  8. Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring service quality: a reexamination and extension. Journal of marketing, 56(3), 55-68. https://doi.org/10.2307/1252296
  9. de Ona, R., Machado, J. L., & de Ona, J. (2015). Perceived service quality, customer satisfaction, and behavioral intentions: Structural equation model for the Metro of Seville, Spain. Transportation Research Record, 2538(1), 76-85. https://doi.org/10.3141/2538-09
  10. 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
  11. Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American customer satisfaction index: nature, purpose, and findings. Journal of marketing, 60(4), 7-18. https://doi.org/10.2307/1251898
  12. Greenwell, T. C., Fink, J. S., & Pastore, D. L. (2002). Assessing the influence of the physical sports facility on customer satisfaction within the context of the service experience. Sport Management Review, 5(2), 129-148. https://doi.org/10.1016/S1441-3523(02)70064-8
  13. 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.
  14. Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794.
  15. Gronroos, C. (1990). Relationship approach to marketing in service contexts: The marketing and organizational behavior interface. Journal of business research, 20(1), 3-11. https://doi.org/10.1016/0148-2963(90)90037-E
  16. Gupta, S., Hanssens, D., Hardie, B., Kahn, W., Kumar, V., Lin, N., Ravishanker, N., & Sriram, S. (2006). Modeling customer lifetime value. Journal of service research, 9(2), 139-155. https://doi.org/10.1177/1094670506293810
  17. Ishaq, M. I., Hussain, N., Asim, A. I., & Cheema, L. J. (2014). Brand equity in the Pakistani hotel industry. Revista de Administracao de Empresas, 54(3), 284-295. https://doi.org/10.1590/S0034-759020140304
  18. 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
  19. Joewono, T. B., & Kubota, H. (2007). User satisfaction with paratransit in competition with motorization in Indonesia: anticipation of future implications. Transportation, 34(3), 337-354. https://doi.org/10.1007/s11116-007-9119-7
  20. Katzan H. (2008). Foundations of service science concepts and facilities. Journal of Service Science, 1(1), 1-22, https://doi.org/10.4236/jssm.2008.11001
  21. Kim, H. S.(2018). A Wisdom asset service design proposal by service nature. Journal of Service Research and Studies, 8(1), 1-12. https://doi.org/10.18807/JSRS.2018.8.1.001
  22. KOSIS (2020). 2019 Service Industry Survey Results (Provisional). Daejeon: Statistics Korea.
  23. 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.
  24. KPC (2018). Productivity Statistics DB. Seoul: Korea Productivity Center.
  25. Krajewski, L. J., & Ritzman, L. P. (1999). Operations management: Strategy and analysis. Massachusetts: Addison Wesley.
  26. Liu, Y., & Jang, S. S. (2009). Perceptions of Chinese restaurants in the US: what affects customer satisfaction and behavioral intentions?. International journal of hospitality management, 28(3), 338-348. https://doi.org/10.1016/j.ijhm.2008.10.008
  27. Lu, S. Y., & Kim, H. G. (2021). A study on the effect of advertising messages according to price discount rate and scarcity message: Focusing on anxiety and situational involvement in COVID19 era. The Korean Journal of Advertising, 32(7), 63-93. https://doi.org/10.14377/KJA.2021.10.15.63
  28. McDougall, G.H., & Levesque, T. (2000). Customer satisfaction with services: Putting perceived value into the equation. Journal of services marketing, 14(5), 392-410. https://doi.org/10.1108/08876040010340937
  29. MOEF (2021). Service industry COVID-19 response and development strategies. Sejong: Ministry of Economy and Finance. (https://www.moef.go.kr>com>synap>synapView)
  30. Nam, K. C., Kim, Y. J., Nam, J. T., Bae, W. W., Byun, H. S., & Lee, N. H. (2008). Service science: Theory review and development of Analytical framework. Information Systems Review, 10(1), 213-235.
  31. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460-469. https://doi.org/10.2307/3150499
  32. Oliver, R. L. (1997). Satisfaction: A Behavioral Perspective on the Consumer. New York: McGraw-Hill Book Company.
  33. Oliver, R. L. (1999). Value as excellence in the consumption experience. In M. Holbrook (Ed.), Consumer value: A framework for analysis and research, 43-62, New York: Routledge.
  34. Oliver, R. L. (1999). Whence consumer loyalty?. Journal of marketing, 63(4_suppl1), 33-44. https://doi.org/10.1177/00222429990634s105
  35. Ryu, K., Lee, H. R., & Kim, W. G. (2012). The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. International Journal of Contemporary Hospitality Management, 24(2), 200-223 https://doi.org/10.1108/09596111211206141
  36. Sumaedi, S., Bakti, I. G. M. Y., Rakhmawati, T., Astrini, N. J., Widianti, T., & Yarmen, M. (2016). Factors influencing public transport passengers' satisfaction: a new model. Management of Environmental Quality: An International Journal, 27(5), 585-597. https://doi.org/10.1108/MEQ-05-2015-0084
  37. Schmenner, R. W. (1986). How can service businesses survive and prosper?. Sloan Management Review (1986-1998), 27(3), 21-32.
  38. Wen, C. H., Lan, L. W., & Cheng, H. L. (2005). Structural equation modeling to determine passenger loyalty toward intercity bus services. Transportation Research Record, 1927(1), 249-255. https://doi.org/10.1177/0361198105192700128
  39. Yang, H. C. (2022). Analysis of distribution industry research trends using BERTopic and LDA. Journal of Creativity and Innovation (JCI), In pressing.
  40. Yang, W. R., & Yang, H. C. (2022). Topic modeling analysis of social media marketing using BERTopic and LDA. Journal of Industrial Distribution & Business, 13(9), 39-52.
  41. Yang, Z., & Peterson, R. T. (2004). Customer perceived value, satisfaction, and loyalty: The role of switching costs. Psychology & marketing, 21(10), 799-822. https://doi.org/10.1002/mar.20030