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研究生: 程郁萱
Yu-Hsuan Cheng
論文名稱: 台灣與德國的文化差異對創新抵制來源因素之影響 -以聊天機器人為例
The Study of National Culture Influences on Innovation Resistance of Chatbots Between Taiwan and Germany
指導教授: 欒斌
Pin Luarn
Ralf Dillerup
Ralf Dillerup
口試委員: 欒斌
Pin Luarn
張光第
Guang-Di Chang
Ralf Dillerup
Ralf Dillerup
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: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 93
中文關鍵詞: 聊天機器人創新抵制理論國家文化
外文關鍵詞: chatbots, innovation resistance, national culture
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  • 自1988年以來,聊天機器人的相關創新開始蓬勃發展,其中,聊天機器人被廣泛應用於處理線上客戶服務,其被視為維繫顧客關係的工具之一。然而,在一份全球調查報告中顯示只有34%的用戶願意接受線上零售業提供的聊天機器人客服服務,有研究表明針對此類對於創新的態度,國家文化是其中一個影響因素,因此,有必要對於此一現象進行更深入的探討,找出在不同文化之下,抵制聊天機器人使用的主要因素之異同。
    本研究基於創新抵制理論發展出研究架構並以多元迴歸模型檢驗不同國家文化之下創新抵制的來源因素差異,以台灣與德國作為研究對象,採用線上問卷的方式分別蒐集182與122個樣本,發放問卷時間為2019年9月25日至2019年10月11日。
    迴歸模型的實證結果顯示,使用障礙和傳統障礙是台灣人不採用聊天機器人客服的主要因素,這意味著聊天機器人的操作過程應該設計得更簡單以減少使用障礙。另一方面,使用障礙、傳統障礙和形象障礙是德國人不接受聊天機器人的主要因素。相比之下,德國人更在意聊天機器人的正面形象。


    Since 1988, the relevant innovations on chatbots have started boomingly. Chatbots are most widely used to handle online customer service and are seen as one of the tools for maintaining customer relationships. However, there are only 34% of users are comfortable to receive customer service from chatbots in online retail. Furthermore, some researches indicated that the national culture is one of the influences on the attitude toward innovation. Therefore, it is necessary to do deeper research on this phenomenon to find out the main reason which causes resistance to chatbots.
    This study constructs a multiple linear regression model to examine the influent factors of innovation resistance under different national cultures. Taiwan and Germany are selected as the research objectives which with data for 182 and 122 samples, respectively. The period of the survey is from 25 Sep. 2019 to 11 Oct. 2019.
    The empirical results of the regression model revealed that the usage barriers and traditional barriers are the factors that Taiwanese concerned about to not adopt chatbots customer service. This means the process of using chatbots should be designed more simply to reduce the adoption barrier. On the other hand, the usage barriers, traditional barrier and image barriers are the main factors for German to consider not to accept chatbots. By contrast, the positive image of chatbots is the point that German more cares about.

    摘要 Abstract Acknowledgments Contents Table contents Figure contents 1. Introduction 1.1 Research background 1.2 Research motivation and objectives 1.3 Research process 2. Literature review 2.1 Chatbots 2.1.1 The definition of chatbots 2.1.2 The history of chatbots 2.1.3 The classifications and applications of chatbots 2.1.4 The previous studies on chatbots 2.2. National Culture 2.2.1. The definition of culture 2.2.2. National culture 2.3 Innovation Resistance Theory 2.3.1 The definition of innovation 2.3.2 The classification of innovation 2.3.3 Innovation resistance theory 2.3.4 Types of innovation resistance 2.3.5 The influence factors of innovation resistance 3. Research methodology 3.1 Research framework 3.2 Hypotheses 3.3 The definition of research variables 3.4 Research design 3.4.1 Pre-examination 3.4.2 Modified questionnaire 4. Empirical results and analysis 4.1 Sample description 4.2 Reliability and validity analysis 4.3 Variables correlation analysis 4.4 Empirical model and findings 4.4.1 The result of Taiwan 4.4.2 The result of Germany 4.4.3 hypothesis summary 5. Conclusions and suggestions 5.1 Discussion 5.2 Contribution 5.3 Implications 5.4 Limitations Reference Appendix

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