• Login
  • Register
  • Search

Research on Consumer Perception of Intelligent Service in Catering Industry Based on Text Mining

Wenyang Wang

Abstract


This paper classifies the emotion of the selected comment text and extracts the LDA theme, and interprets the results. The research shows that consumers have a high overall favorable rate of intelligent services in the catering industry, but there are also a small number of negative perceptions, which are reflected in the lack of human feelings of intelligent services, the lack of technology and the simple appearance of the machines that provide services. This suggests that catering businesses should pay attention to the application scope of intelligent services and improve consumer perception experience.


Keywords


Consumer Perception; Intelligent Services; Catering; Text Mining

Full Text:

PDF

Included Database


References


Gavrilova T, Kokoulina L. Smart Services Classification Framework[C].Federated Conference on Computer Science & Information Systems. 2015.

Küssel R, Liestmann V, Spiess M, et al. "TeleService" a customer-oriented and efficient service?[J]. Journal of Materials Processing Technology, 2000, 107(1-3): 363-371.

Gronroos C. Relationship approach to marketing in service contexts-the marketing and organizational- behavior interface [J]. Journal of Business Research, 1990, 20(1).

Zeithaml VA. Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence[J]. Journal of Marketing, 1988, 52(3):2-22.

Liu J, Zou YJ, Liu ZX. Analysis of factors affecting consumers' purchase intention in e-commerce live broadcast based on SEM model [J]. Statistics and Decision, 2021, 37 (07): 94-97.

Liu Y, Kou Y, Guan ZZ, Pu B. The impact mechanism of perceived value on hotel brand attachment: a regulated intermediary model [J]. Journal of Tourism, 2019, 34 (04): 29-39.




DOI: http://dx.doi.org/10.18686/fm.v8i2.7517

Refbacks