研究生: |
何鎧詒 Ho, Hoi-Yi |
---|---|
論文名稱: |
以在航空業為例,探討在輕微和嚴重的服務失誤中,智能聊天機器的語氣對客戶的再購買意向的影響程度 Behind intelligence chatbots: impact of the tonality on customer's re-patronage intention during mild and severe service failure in airline industry |
指導教授: |
洪秀瑜
Hung, Hsiu-Yu |
口試委員: |
沈永正
Shen, Yung-Cheng 洪秀瑜 Hung, Hsiu-Yu 蔡顯童 Tsai, Hsien-Tung |
口試日期: | 2023/06/27 |
學位類別: |
碩士 Master |
系所名稱: |
全球經營與策略研究所 Graduate Institute of Global Business and Strategy |
論文出版年: | 2023 |
畢業學年度: | 111 |
語文別: | 英文 |
論文頁數: | 61 |
英文關鍵詞: | Service Failure, Chatbot, Service Recovery, Customers Repatronage |
研究方法: | 實驗設計法 |
DOI URL: | http://doi.org/10.6345/NTNU202301406 |
論文種類: | 學術論文 |
相關次數: | 點閱:89 下載:5 |
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This thesis delves into the utilization of chatbots as a viable recovery tool to address service failures within the airline industry. In today's highly competitive airline sector, where customer service and satisfaction play a pivotal role, chatbots offer a prompt and personalized means of assisting customers who have encountered service setbacks. By efficiently managing numerous customer inquiries simultaneously, chatbots effectively minimize wait times and streamline the resolution process, thus curbing the escalation of service failures. Additionally, chatbots serve as valuable sources of feedback, providing insights that can be utilized to enhance overall service offerings. The findings of this thesis suggest that chatbots are gaining significant traction as a preferred recovery tool within the airline industry, offering substantial potential to elevate customer experiences and manage service failures more effectively. As technology continues to advance, further research and exploration in this area can uncover innovative ways to optimize the use of chatbots, enabling airlines to better meet customer needs and exceed their expectations.
Overall, the study underscores the growing recognition of chatbots as an integral component of service recovery strategies in the airline industry, contributing to improved customer satisfaction and enhanced operational efficiency.
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