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研究生: 林晏竹
LIN, Yen-Chu
論文名稱: AI客服聊天機器人與媒介豐富度對消費者態度與行為意圖之影響—以電商平台為例
The Effect of AI Customer Service Chatbots and Media Richness on Consumer Attitude and Behavior Intentions - Take an E-commerce Platform as an Example
指導教授: 蔣旭政
Chiang, Hsu-Cheng
口試委員: 林慧斐
LIN, Hui-Fei
林芝璇
LIN, Jhih-Syuan
蔣旭政
CHIANG, Hsu-Cheng
口試日期: 2022/03/31
學位類別: 碩士
Master
系所名稱: 大眾傳播研究所
Graduate Institute of Mass Communication
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 200
中文關鍵詞: 聊天機器人人工智慧客戶服務媒介豐富度社會資訊處理模式消費者行為電商平台
英文關鍵詞: Chatbot, Artificial Intelligence, Customer Service, Media Richness, Social Information Processing model, Consumer Behavior, E-commerce Platform
DOI URL: http://doi.org/10.6345/NTNU202200459
論文種類: 學術論文
相關次數: 點閱:454下載:0
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  • 行動商務與即時通訊軟體的蓬勃成長使聊天機器人受到高度的發展與運用。為了提供良好的客戶服務,電商平台利用聊天機器人作為即時服務媒介創造更優質的服務體驗。然而,任務導向聊天機器人卻無法解決在既定腳本外更深入、細微的消費問題,進而影響消費者行為。由此,本研究透過將人工智慧應用於客服聊天機器人,期望藉此提升消費者行為。本研究以電商平台為研究背景,採2(對話導向AI聊天機器人 vs. 任務導向聊天機器人)x2(高媒介豐富度 vs. 低媒介豐富度)二因子組間實驗設計,且就個人相關使用經驗(網路購物售後服務經驗)做進一步研究分析,並以聊天機器人態度、持續使用意圖與口碑推薦意願等三元素為消費者行為組合作為依變項,探討自變項與依變項兩者之間的交互作用與影響。
    本研究結果證實:(1)對話導向AI聊天機器人相較於任務導向聊天機器人,對於消費者行為有較佳的影響;(2)高媒介豐富度相較於低媒介豐富度,對於消費者行為有較正面的影響;(3)無論是何種媒介豐富度,在對話導向AI聊天機器人中,對於聊天機器人態度、持續使用意圖與口碑推薦意願皆不會有差異;(4)在任務導向聊天機器人中,高媒介豐富度相較於低媒介豐富度,會產生較佳的聊天機器人態度、持續使用意圖與口碑推薦意願;(5)使用客服聊天機器人後,相較於使用前會產生較正面的消費者行為;(6)具有網路購物售後服務經驗的消費者,相較於無網路購物售後服務經驗的消費者,會產生較佳的持續使用意圖,但在聊天機器人態度與口碑推薦意願則無顯著差異。

    The flourishing mobile commerce and instant messaging software have made chatbots highly developed and used. To provide more satisfactory customer service, e-commerce platforms use chatbots as an instant service medium to create a better service experience. However, task-oriented chatbots cannot solve the deeper and nuanced consumption problems beyond the established script, thereby affecting consumer behavior. Accordingly, this study hopes to improve consumer behavior by applying artificial intelligence to customer service chatbots. Based on the research background of e-commerce platforms, this study adopted a 2 (chit-chat AI chatbots vs task-oriented chatbots) x2 (high media richness vs low media richness) 2-factor, between-subject experimental design, and uses personal correlation Use experience (online shopping after-sales service experience) for further research and analysis, and uses the three elements of attitude toward chatbot, continuance intention and word-of-mouth intention to combine consumer behavior as dependent variables to explore the interaction and effects between independent variables and dependent variables.
    The results indicated that: (1) compared with task-oriented chatbots, chit-chat AI chatbots demonstrated more favorable behavior;
    (2) compared with chatbots with low media richness, chatbots with high media richness generated more favorable behavior;
    (3) no matter what level of media richness, in chit-chat AI chatbots, there will be no significant differences in attitude toward chatbot, continuance intention, and word-of-mouth intention;
    (4) in task-oriented chatbots, compared with low media richness, high media richness generated a more favorable attitude toward chatbot, continuance intention, and word-of-mouth intention;
    (5) compared with before using the customer service chatbot, using the customer service chatbot demonstrated more favorable behavior;
    (6) compared with consumers without online shopping after-sales service experience, consumers with online shopping after-sales service experience generated more favorable continuance intention, but there will be no significant differences in attitude toward chatbot and word-of-mouth intention.

    謝誌 i 摘要 iii Abstract iv 目錄 vi 表目錄 xi 圖目錄 xiii 第壹章 緒論 1 第一節 研究背景 1 第二節 研究動機 5 第三節 研究目的 7 第四節 研究問題 10 第貳章 文獻探討 11 第一節 聊天機器人(Chatbot) 11 一、 人機互動(Human-Computer Interaction) 11 二、 聊天機器人定義 13 三、 聊天機器人與電子商務 17 四、 小結 19 第二節 社會資訊處理模式(Social Information Processing model) 20 一、 社會資訊處理模式定義 20 二、 互動性(Interactivity) 21 三、 小結 23 第三節 媒介豐富理論(Media Richness Theory) 24 一、 媒介豐富理論定義 24 二、 媒介豐富理論與電子商務 25 三、 小結 28 第四節 消費者行為(Consumer Behavior) 29 一、 聊天機器人態度(Attitude toward chatbot) 29 二、 持續使用意圖(Continuance Intention) 30 三、 口碑推薦意願(Word-of-mouth Intention) 31 第五節 研究假設推導 32 一、 電商平台客服聊天機器人之類型與消費者行為的關係 33 二、 電商平台客服聊天機器人之媒介豐富度與消費者行為的關係 35 三、 電商平台客服聊天機器人之類型、媒介豐富度與消費者行為的關係 37 第參章 研究方法 40 第一節 研究架構 40 第二節 實驗設計與研究工具 41 一、 實驗設計 41 二、 研究工具 42 (一) 系統架構 42 (二) Django專案 43 (三) 建立LINE Bot 49 (四) 使用ngrok建立https伺服器 54 (五) 建立LINE Bot圖文選單 57 (六) 撰寫Python程式 59 (七) 建立QnA Maker資源 60 (八) 部署專案到Heroku 68 三、 自變項的定義與操弄 72 (一) 聊天機器人類型:對話導向AI聊天機器人與任務導向聊天機器人 72 (二) 媒介豐富度:高媒介豐富度與低媒介豐富度 73 第三節 自變項操弄檢定 75 一、 自變項測量問項 75 (一) 媒介豐富度:高媒介豐富度與低媒介豐富度 75 二、 前測一:中性產品前測 77 三、 前測二:媒介豐富度前測 79 第四節 依變項衡量 81 一、 聊天機器人態度 81 二、 持續使用意圖 82 三、 口碑推薦意願 83 第五節 主實驗刺激物呈現、實驗程序與文案設計 84 一、 主實驗刺激物呈現 84 二、 實驗程序 89 三、 文案設計 91 第肆章 研究結果 104 第一節 樣本結構與敘述統計 104 第二節 信度分析 107 第三節 正式實驗之操弄檢定 108 一、 媒介豐富度操弄檢定結果 108 第四節 研究假設之驗證 109 一、 聊天機器人類型對消費者行為之影響 112 (一) 聊天機器人類型對聊天機器人態度的影響 112 (二) 聊天機器人類型對持續使用意圖的影響 112 (三) 聊天機器人類型對口碑推薦意願的影響 113 二、 媒介豐富度對消費者行為之影響 113 (一) 媒介豐富度對聊天機器人態度的影響 113 (二) 媒介豐富度對持續使用意圖的影響 114 (三) 媒介豐富度對口碑推薦意願的影響 114 三、 聊天機器人類型與媒介豐富度對消費者行為之影響 115 (一) 聊天機器人類型與媒介豐富度對聊天機器人態度的影響 115 (二) 聊天機器人類型與媒介豐富度對持續使用意圖的影響 116 (三) 聊天機器人類型與媒介豐富度對口碑推薦意願的影響 117 第五節 問卷結果之延伸 118 一、 客服聊天機器人的使用對消費者行為之檢定 118 二、 網路購物售後服務經驗對消費者行為之檢定 119 第六節 研究假設檢定及研究問題結果 120 第伍章 討論與結論 123 第一節 研究發現與討論 123 一、 聊天機器人類型之對話導向AI聊天機器人相較於任務導向聊天機器人,對於消費者行為有較佳的影響 124 二、 媒介豐富度之高媒介豐富度相較於低媒介豐富度,對於消費者行為有較正面的影響 126 三、 無論是何種媒介豐富度,在對話導向AI聊天機器人中,對於聊天機器人態度、持續使用意圖與口碑推薦意願皆不會有差異;在任務導向聊天機器人中,高媒介豐富度相較於低媒介豐富度,會產生較佳的聊天機器人態度、持續使用意圖與口碑推薦意願 127 四、 使用客服聊天機器人後,相較於使用前會產生較正面的聊天機器人態度、持續使用意圖與口碑推薦意願 129 五、 具有網路購物售後服務經驗的消費者,相較於無網路購物售後服務經驗的消費者,會產生較佳的持續使用意圖,但在聊天機器人態度與口碑推薦意願則無顯著差異 130 第二節 學術貢獻與實務建議 131 一、 學術貢獻 131 二、 實務建議 132 第三節 研究限制 134 一、 資料庫建立之限制 134 二、 實驗設計之限制 134 三、 實驗進行之限制 135 四、 線上問卷之限制 136 第四節 未來研究方向與建議 137 一、 探討加入混合型聊天機器人對消費者行為之影響 137 二、 探討調整媒介豐富度特點對消費者行為之影響 137 三、 探討加入年齡變項對消費者行為之影響 138 四、 探討加入相關中介變項 139 五、 探討不同領域聊天機器人對消費者行為之影響 139 六、 探討其他平台聊天機器人之建議 139 參考文獻 141 中文文獻 141 英文文獻 142 附錄一:前測一問卷 174 附錄二:前測二問卷 183 附錄三:主實驗問卷 189

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