臺灣博碩士論文加值系統

近幾年由於人工智慧(AI)與金融科技(FinTech) 之爆炸性發展，以「自動化投資顧問 服務」提供客戶「完全經由網路互動、可全無或極少人工服務」的「演算法」理財建議已成趨勢。面對機器學習時代的來臨，投顧人力資源如何參與應變將成一重大課題。故本研究旨在探討理財機器人對於投資顧問人力市場之影響。
所謂理財機器人即是人工智慧與金融科技的結晶，其運用演算法，透過大數據及計 量模型，依據使用者之風險屬性，在不同策略或需求下推估當下最佳理財組合，並適時自動執行再平衡配置。
本研究為質性研究，透過深度訪談投資顧問，從商業模式、內部教育訓練、選材人格特質及服務提供等四大構面探討機器動力所造成的衝擊與投顧人力資源之因應。結果顯示，銀行的經營策略漸漸地轉向 B2C 與 B2B 兩路並進，在 B2C 方面搭配具有互補效果的線上數位行銷(digital marketing)以及線下基礎行銷(base marketing); 而在線上數位行銷能力的培養，首推「表達溝通」和「企劃創意」，此亦內部教育訓練之重點。有鑑於此，在人才選用上以對資訊安全及系統維護多能涉略者為佳。透過機器人理財，線上服務模式簡化複雜的投資，創造即時且一次服務多數投資者，擴大服務範疇。然而，以人(投資顧問)為主，機器為輔的策略仍是提供客戶更全面的財富管理服務之關鍵。

Due to the explosive development of artificial intelligence (AI) and FinTech in recent years, the “Robo-Advisor” provided customers financial advices through algorithm that “fully interacts with the Internet and can have no or little human services” has become a trend. No doubt, robots are having a transformative effect on the labor market and it’s a trend that’s likely to continue. Therefore, facing robots’ challenges becomes a major issue, it’s is why this paper aims to explore the impact of Robo-Advisors on the investment advisors manpower market.
The so-called “Robo-Advisors” is the crystallization of artificial intelligence and financial technology. It uses algorithms with big data and econometric models to estimate current best financial portfolio under different strategies or needs based on the user's risk attributes. In addition, it would automatically rebalance configuration at the right time.
This is a qualitative study. Through in-depth interviews with investment advisors, we dis- cuss the impacts of Robo-Advisors and their response to those impacts from four major di- mensions: business model, in-house training, personality traits for workplace, and service supply. The results show that the bank's business strategy has gradually shifted to B2C and B2B, digital online marketing and base marketing are complementary applied in B2C. In con-sidering development of online digital marketing, “express communication” and “planning creativity” are critically required for investment advisors and also addressed by in-house training. In view of this, the tactics for recruitment would place more capabilities on infor-mation security and system maintenance. With the use of Robo-Advisors, the online service simplifies complex investment, creates instant and one-time service for most investors, and expands service coverage. However, relying mainly on people (investment advisors), machine-assisted strategies are still the key to providing customers with more comprehensive wealth management services.

摘要…………………………………………………………………………ii
ABSTRACT……………………………………………………………………iii
致謝…………………………………………………………………………iv
目錄…………………………………………………………………………v
表目錄………………………………………………………………………vii
圖目錄………………………………………………………………………ix
第一章 緒論………………………………………………………………1
第一節 研究背景………………………………………………1
第二節 研究目的………………………………………………3
第三節 研究流程………………………………………………4
第二章 文獻探討…………………………………………………………5
第一節 金融科技FINTECH的發展……………… ……………5
第二節 人工智慧的簡介………………………………………11
第三節 機器人投顧……………………………………………14
第四節 文獻探討-實證研究………………………… ………23
第三章 研究方法………………………………………………………25
第一節 選擇深入訪談法之原因………………………………25
第二節 結合「訪談引導法」與「與標準化開放是訪談」…26
第三節 訪談對象………………………………………………27
第四節 訪談內容與設計………………………………………27
第四章 訪談彙總與分析………………………………………………29
第五章 結論與建議……………………………………………………42
第一節 結論與建議……………………………………………42
第二節 研究限制………………………………………………43
第三節 未來研究方向…………………………………………44
參考文獻……………………………………………………………………45
附錄1中華民國證券投資信託暨顧問商業同業公會證券投資顧問事業以自動化工具提供證券投資顧問服務作業要點……………………………………………………50
附錄2訪談問項……………………………………………………… ……58

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