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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

最大化顧客參與行為於推薦平台: 以品牌合作角度塑造達人知識 / Maximizing Customer Engagement Behavior through Recommender System: Framing Maven Knowledge with Brand Alliance Perspective

巫承安, Wu, Cheng An Unknown Date (has links)
在這個充滿繁多新媒體時代,使用者面臨到眾多資料和快速變動的環境,使用者在媒體的使用行為和選擇上更加依賴各種推薦平台的建議。除此之外,隨著社群媒體的興起,許多的推薦平台整合了社群的人們關係來提供更準確的建議和選擇。雖然推薦系統在影響使用者的使用行為有顯著的效果,然而企業和品牌卻鮮少去關注或了解如何增加顧客參與行為在整合社群媒體的推薦平台上。顧客參與行為並不只有傳統的交易行為,而是包含了所有直接和間接影響企業品牌的行為,像是使用者回饋、口碑傳播等。而且,現今尚未有清楚明確的定義哪些關鍵因素,會影響顧客參與行為在社群化推薦推薦系統,來藉此獲得顧客關注,形成正向生態系統。 本研究中,我們根據達人在社群化推薦平台中具有重要的影響力的觀點,以促進重塑達人知識來改變原有達人的行為和態度,藉此影響所有一般使用者在社群化推薦平台的顧客參與行為。我們提出新的架構和系統來幫助中小型商家在推薦平台上影響更多的推薦達人,獲得更多的顧客參與。我們建立商家參與後台來幫助中小型商家可以洞悉達人的行為,我們也建立了重新塑造資訊的系統,提供達人所需要的訊息文章,藉此來改變達人的知識和行為。此研究發現,達人的行為會受到娛樂型、知識型和激勵型的文章訊息影響行為,一般使用者也會受到達人行為影響。此外我們藉由品牌合作角度來幫助得到更多的顧客參與行為,我們發現中小型商家可以在社群化推薦平台獲得顧客參與且建立一個正向機制循環。 / With the highly dynamic trend of service economy, the firms are increasingly to co-create value with brand alliance to advance their competition advantage. On the other hand, with the massive information on the new media, the referrals provided by recommender systems in combination with social media have significantly impact on customer behavior. In light of these trends, the markers and firms should aim to increase the customer engagement behavior (CEB) which goes beyond the traditional transactions including purchase and non-purchase behavior on social recommenders. In this research, we focus on the role of mavens who are powerful influencers on the social recommender. We propose a new conceptual framework for facilitating to impact the maven’s knowledge and behavior and increase the CEB on the social recommender for Small/Middle Enterprise (SME). We establish the SME support engagement site for increasing the CEB on social recommender and framing knowledge context to influence maven for achieving the insight of the maven’s behavior. As the result of research, we discover that maven engagement behavior would be influenced by the entertainment, information and incentive types in context from the brand alliance perspective and the non-maven are willing to be affected by maven behavior. Moreover, with this discovery, the SME can increase the customer engagement behavior on the social recommender

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