情报科学 ›› 2024, Vol. 42 ›› Issue (3): 43-51.

• 理论研究 • 上一篇    下一篇

基于TOE框架的智能客服应用影响因素与路径类型研究

  

  • 出版日期:2024-03-05 发布日期:2024-06-08

  • Online:2024-03-05 Published:2024-06-08

摘要:

【目的/意义】智能客服应用既是企业在数智时代的必要之举,也面临诸多挑战与压力。探究技术研发、企
业组织特性和业务发展的环境对企业智能客服应用的影响,为企业智能客服应用提供思路,也为复杂情境下企业
智能客服应用实践提供理论支持。【方法/过程】基于TOE(技术-组织-环境)框架,采用QCA(定性比较分析)方法,
剖析22家企业Chatbot应用实例,阐述企业智能客服应用影响因素及路径类型。【结果/结论】总结了智能客服应用
的条件组态,提出了两条有实践结果支撑的企业智能客服应用路径,分别为“数字化转型”和“互联网基因”。【创新/
局限】揭示了企业智能客服应用的影响因素及其作用机制,为企业智能客服应用提供了依据。下一步将扩大案例
样本,并将客服形象、情感分析等因素纳入考量范畴。

Abstract:

【Purpose/significance】 The application of intelligent customer service is not only a necessary move for enterprises in the
era of digital intelligence, but also faces many challenges and pressures. This paper explores the impact of factors such as technologi⁃
cal development, corporate organizational characteristics, and environments of business development on the application of intelligent
customer service in enterprises, which can provide ideas for the application of intelligent customer service in enterprises and provide
theoretical support for the application and practice of intelligent customer service in complex situations.【Method/process】 Based on
the TOE (Technology-Organization-Environment) framework, using the QCA (Qualitative Comparative Analysis) method, this paper
analyzes the Chatbot application examples of 22 enterprises, and expounds the influencing factors and path types of enterprise intelli⁃
gent customer service application.【Result/conclusion】 The conditional configuration of intelligent customer service application is
summarized, and two enterprise intelligent customer service application paths supported by practical results are proposed, namely
"digital transformation" and "Internet gene".【Innovation/limitation】 It reveals the influencing factors and mechanism of the applica⁃
tion of enterprise intelligent customer service, and provides a basis for the application of enterprise intelligent customer service. In the
future, the sample of cases will be expanded, and factors such as customer service image and sentiment analysis will be taken into ac⁃
count