臺灣博碩士論文加值系統

近年來共享經濟（Sharing Economy）透過行動裝置和網路而蓬勃發展， 其服務模式也因為資訊及通訊技術的創新而有了不同的轉變。在許多不同科技介入服務的情形下，讓傳統的密碼、身分認證機制受到挑戰，亦使得透過人體特徵作為識別或驗證的生物辨識技術逐漸興起，藉由行動裝置而逐漸普及於日常。部分國外共享企業透過採用生物辨識技術強化自身服務的便利性與安全性，但目前台灣尚未採用此技術於共享經濟中，故引起本研究之探討動機，希望了解台灣交通類共享經濟採用生物辨識技術的可能性。
此外，目前較少相關研究著墨於生物辨識技術的使用者行為意圖探討，促使本研究欲以交通共享為研究範疇，利用由人口遷移理論延伸出的推-拉-繫住力（Push-Pull-Mooring）模型，由移動（遷徙）的角度，探討使用者在面對創新科技時，會受何種因素而影響其決策。
本研究以問卷方式進行調查，共蒐集有效問卷495份，問卷主要在於探討使用者對於生物辨識技術用於交通共享的使用意願。資料分析方面則針對樣本進行敘述性統計分析、信效度分析、相關分析與多元迴歸分析等，以測試模型與驗證本研究之假說。
研究結果發現，研究變數包括便利性、安全性、有用性、易用性、創新接受程度、轉換成本、信任與主觀規範等八大變數皆對轉移意願會產生影響，而其中便利性的影響最為顯著。最後，本研究亦根據結果提出管理面、政策面相關建議，研究發現亦可供政府在針對共享業者訂立專法時作為參考。

Sharing economy has been growing up all over the world via the application of mobile devices and networks. The service mode has been transformed due to information and communication technology innovation. Therefore, the conventional password and identity authentication mechanisms are confronted with challenge. The biometric technology, which applies human characteristics as identification or verification, has gradually become popular via mobile devices in our daily life. Take shared transported for example. Using biometric technology for enhancing convenience and security has been employed in some other countries, but not yet in the sharing economy platforms of Taiwan. This study aims to understand users’ intention of switching to biometric technology in Taiwan''s shared transport.
This study applies the Push-Pull-Mooring model based on the migration theory for analysis. The model is adapted in order to understand the factors that influence users’ switching intention to biometric technology in the case of shared transport.
The data is collected via an on-line survey. There are 495 valid samples collected in May 2018. Descriptive statistical analysis, reliability and validity analysis, correlation analysis and multiple regression analysis are performed to test the model.
The results of this study demonstrate that eight variables, including convenience, security, usefulness, ease of use, acceptance of innovations, switching costs, trust and subjective norms, all have an impact on switching intention. Among them, convenience has the most significant influence. This study puts forward management and policy suggestions. The results can be taken into consideration while the government drafts regulations on the sharing economy.

目錄

摘要 ii
Abstract iii
目錄 v
圖目錄 vi
表目錄 vii
第一章 緒論 1
第二章 文獻回顧 14
第一節 共享經濟 14
第二節 生物辨識技術 22
第三節 推-拉-繫住力（Push-Pull-Mooring，PPM）模型 26
第三章 研究方法 28
第一節 研究架構與假設 28
第二節 研究變數衡量 38
第三節 研究範圍與對象 39
第四節 問卷預試分析 40
第五節 資料分析方法 41
第四章 統計分析 43
第一節 資料蒐集及分析方法 43
第二節 樣本資料分析 43
第三節 敘述性統計分析 48
第四節 信效度分析 55
第五節 相關分析 56
第六節 迴歸分析 57
第七節 獨立樣本T檢定與單因子變異數分析 61
第五章 結論與建議 80
第一節 研究發現 80
第二節 實務意涵 84
第三節 研究限制 86
第六章 參考文獻 88
附錄 研究問卷 95

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