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研究生: 蘇子瑜
Tzu-Yu Su
論文名稱: 探討不同社群圖譜中後設知覺對顧客推薦意願之影響
Exploring the Influence of Metaperception on Customer Referrals in Different Social Graphs
指導教授: 林孟彥
Meng-Yan Lin
口試委員: 林孟彥
Meng-Yan Lin
方正璽
Zheng-Xi Fang
張淑婷
Shu-Ting Zhang
曾盛恕
Sheng-Shu Zeng
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: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 57
中文關鍵詞: 推薦獎勵計畫興趣圖譜社交圖譜後設知覺自我認同
外文關鍵詞: Referral Reward Program, Interest Graph, Social Graph, Metaperception, Self-Identity
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  • 廣告是社群媒體最重要的商業模式,好的內容已經無法保證能有效觸及目標顧客,廣告推播與推薦獎勵變成企業慣常使用的手法。本研究討論企業如何透過推薦獎勵計畫鼓勵客戶將產品與服務推薦給親友,有效吸引新客戶。過去研究發現推薦者如何猜想別人對自己的推薦行為,會嚴重影響其推薦意願。本研究延續 Wirtz et.al (2019) 的研究,探討不同社群建構的方式(即社群圖譜),推薦者的後設知覺對於推薦意願有何影響。研究一比較匿名的興趣社團與實名制的社群媒體是否有不同的後設知覺,研究二則鎖定實名制社團,比較受測者在臉書中的興趣社群與個人動態兩種不同場域中推薦,其感受到的後設知覺差異是否會影響推薦者的推薦意願。最後,研究三則進一步探討不同社群圖譜中,推薦者對於產品的自我認同,是否會干擾後設知覺與推薦意願之間的關係。
    研究一與研究二皆證實,在興趣圖譜中,因為推薦者與其他社團成員有共同的興趣,此時若企業提升獎勵誘因就可以顯著提升用戶的推薦意願。然而在社交圖譜中,因為成員多為真實生活上的親朋好友,此時提供獎勵,會引發推薦者比較大的後設知覺認知,因而產生對印象管理的擔憂,並進一步降低推薦意願。
    研究三探討產品類型的干擾效果,過去許多研究認為當產品屬於低自我認同產品(如日常用品)時,就要降低推薦者的後設知覺。然而本研究發現可以透過行銷的方式,改變產品在推薦者心目中的形象,當產品的正面形象與推薦者產生連結時,後設知覺反而可以提升推薦意願。


    Advertising is the most important business model of social media. Good content can no longer guarantee that it can effectively reach target customers. Advertising push and referral reward have become the usual tactics used by enterprises. This thesis discusses how companies can encourage customers to recommend products and services to relatives and friends through referral reward programs, to effectively attract new customers. Previous studies have found that how recommenders guess other people’s recommendations for themselves will seriously affect referral likelihood. This thesis continues the study of Wirtz et.al (2019), explores the influence of metaperception on referral likelihood in the different social graphs. Study 1 compares whether anonymous interest groups and real-name social media have different metaperceptions, and study 2 focuses on real-name social media and compares the influence of metaperception on referral likelihood in interest groups and personal dynamics in Facebook. Study 3 further explores whether recommenders’ self-identity in different social graphs affects the relationship between metaperception and referral likelihood.
    The results of study 1 and study 2 found that in the interest graph, the recommender has common interests with other community members. As a result, if the company increases incentives, it can significantly enhance the recommender's referral likelihood. On the other hand, in the social graph, the members are mostly relatives and friends, if the company offers rewards, the recommender would concern about impression management, thereby reducing the referral likelihood.
    Study 3 explores the moderating effect of product types. Many previous studies believed that when the product is non-identity-signaling (such as daily necessities), it is necessary to reduce the metaperception of the recommender. However, this study found that the image of the product in the recommender's mind can be changed through marketing. When the positive image of the product is connected with the recommender, metaperception can increase referral likelihood.

    摘要 I ABSTRACT II 致謝 III 目錄 IV 圖目錄 VI 表目錄 VII 第壹章、緒論 1 第一節、研究背景 1 第二節、研究動機 2 第三節、研究目的 3 第四節、研究貢獻 4 第貳章、文獻探討 5 第一節、推薦意願 5 第二節、後設知覺 6 第三節、自我認同 7 第四節、社群圖譜 8 第參章、研究方法 11 第一節、研究架構 11 第二節、研究假設 11 一、社群圖譜和後設知覺之關係 11 二、後設知覺和推薦意願之關係 12 三、自我認同對推薦意願之影響 12 第三節、實驗一 13 一、實驗架構 13 二、施測過程 13 三、變數的操作性定義及衡量 14 四、實驗結果 15 五、小結 17 第四節、實驗二 18 一、實驗架構 18 二、施測過程 18 三、變數的操作性定義及衡量 19 四、實驗結果 19 五、小結 21 第伍節、實驗三 22 一、實驗架構 22 二、施測過程 23 三、變數的操作性定義及衡量 23 四、實驗結果 24 五、小結 27 第肆章、結論與建議 29 第一節、研究結論 29 第二節、管理意涵 31 第三節、研究限制與未來方向 32 參考文獻 33 附錄 問卷 39

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