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研究生: 鄭文慈
Wen-Tzu Cheng
論文名稱: 顧客對服務型機器人之接受度:以零售業為例
A Study of Customer Acceptance of Service Robots:Based on the Retail Industry
指導教授: 曾盛恕
Seng-Su Tsang
口試委員: 張譯尹
Yi-Ying Chang
邱敬仁
Ching-Ren,Chiu
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 83
中文關鍵詞: TAM理論S-O-R理論零售業服務型機器人服務創新消費者科技特徵
外文關鍵詞: TAM theory, S-O-R theory, retail industry, service robots, service innovation, consumer technology traits
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全通路時代來臨,實體通路的角色從販售「商品」轉型成販售「購物體驗」,使得優化顧客體驗成為實體零售商不斷找尋的目標。加上近年來人工智慧科技的加速發展,各國零售業紛紛引進服務型機器人,實現人機協同的價值,更創造有效率且節省人力的新銷售模式。
本研究以探討零售環境中顧客對服務型機器人之接受度,從中解讀他們對機器人屬性的偏好以及影響行為意圖的心理過程,並藉由消費者科技特徵來調節機器人性能和認知態度間的關係,解讀顧客對機器人協同購物行為之可行性。結果顯示,顧客的態度和使用意圖受到產品屬性的顯著影響,顧客除了重視機器人的功能外,視覺上的吸引力可以造就顧客情緒上的愉悅,進而導致口碑行銷的傳遞。因此機器人開發者可強化機器人的社交、陪伴功能,有助於體驗的心情更愉悅、滿足,或是打造獨特、擬人化的外觀,有助於體驗的心情更興奮、激動。未來也建議零售業者將顧客對科技的熟悉度、信心度、創新度等個人特徵建立到資料庫,讓機器人更有效的展現專屬客製化的服務體驗。


With the advent of Omni-Channel era, The role of offline store has changed from selling “product” to selling “shopping experience”, making “optimized customer experience” a target for offline retailers. In addition, in recent years, the rapid development of AI technology, retailers in various countries have introduced service robots to achieve the value of human-computer collaboration, and create a more efficient and manpower-saving new sales model.
This study explores customer acceptance of service robots in a retail environment, and understands their preferences for robot attributes and mental processes that affect behavior intention. Then, the relationship between cognitive attitudes and robot performance is moderated by consumer technology traits. It is expected to understand the feasibility of customer's robot-assisted shopping behavior in the future. The results of the study show that the customer's attitude is significantly affected by various product attributes, which in turn determine the use intention. Among them, besides paying attention to the functions of the robot, the visual appeal is an important factor. The happier or more excited customers are, the more willing they are to conduct word-of-mouth marketing. Therefore, the robot developer may strengthen the robot's social and companionship functions to help the user feel more enjoyable and satisfied, or create a prototypical and anthropomorphic appearance to make the user more exciting and spiritual. In the future, it is also recommended that retailers establish a database of customers characteristics such as degree of familiarity, confidence and innovation of personal in order to allow robots to display customized services effectively.

1. 緒論 1 1.1研究背景與動機 1 1.2研究目的 4 1.3研究流程 5 2. 文獻回顧 6 2.1零售業服務人員之功能與限制 6 2.2新零售時代的服務創新模式 8 2.2.1全通路零售(Omni-Channel Retailing) 8 2.2.2涉及服務型機器人之服務創新模式 9 2.3機器人之分類與介紹 10 2.3.1工業型機器人(Industrial Robots) 12 2.3.2服務型機器人(Service Robots) 12 2.3.3各國機器人發展現況 14 2.4 科技接受度模型(Technology Acceptance Model ,TAM) 19 2.5 刺激-機制-反應模型(Stimulus–Organism–Response Model , S-O-R) 21 2.5.1前置變數:機器人三大產品屬性 24 2.5.2調節變數:消費者科技特徵(Consumer Technology Traits) 27 3. 研究設計與方法 30 3.1 研究架構 30 3.2 研究假說 31 3.3 變數定義 32 3.4 資料分析方法 33 3.4.1結構方程模式分析 33 3.4.2信度分析 34 3.4.3效度分析 34 3.4.4調節效果 35 4.研究分析與結果 36 4.1描述性統計 36 4.2.信效度分析 37 4.3結構方程模式分析 42 4.3.1 S-O-R理論之主效果分析 43 4.3.2加入消費者科技特徵之調節效果分析 45 5.結論 47 5.1研究結果與討論 47 5.2學術貢獻 48 5.3管理意涵 49 5.4研究限制 50 5.5未來研究方向 51 文獻參考 52 附錄一 63 附錄二 68

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