| 系統識別號 | U0002-1908202414545600 |
|---|---|
| DOI | 10.6846/tku202400683 |
| 論文名稱(中文) | 大學校園共享電動滑板車接受程度之研究 |
| 論文名稱(英文) | The acceptance level of shared e-scooters in college campus |
| 第三語言論文名稱 | |
| 校院名稱 | 淡江大學 |
| 系所名稱(中文) | 運輸管理學系運輸科學碩士班 |
| 系所名稱(英文) | Department of Transportation Management |
| 外國學位學校名稱 | |
| 外國學位學院名稱 | |
| 外國學位研究所名稱 | |
| 學年度 | 112 |
| 學期 | 2 |
| 出版年 | 113 |
| 研究生(中文) | 趙國匡 |
| 研究生(英文) | Kwok-Hong-Michael Chiu |
| 學號 | 610666017 |
| 學位類別 | 碩士 |
| 語言別 | 繁體中文 |
| 第二語言別 | |
| 口試日期 | 2024-06-24 |
| 論文頁數 | 167頁 |
| 口試委員 |
指導教授
-
許超澤(hsuchao@mail.tku.edu.tw)
共同指導教授 - 范俊海(chunhai@mail.tku.edu.tw) 口試委員 - 劉建浩 口試委員 - 黃俊能 |
| 關鍵字(中) |
共享電動滑板車 使用者接受程度 UTAUT2 PLS-SEM 大學校園 科技接受模型 |
| 關鍵字(英) |
Shared electric scooters UTAUT2 PLS-SEM University campuses Technology acceptance User acceptance |
| 第三語言關鍵字 | |
| 學科別分類 | |
| 中文摘要 |
近年來,全球氣候變遷和環境問題日益嚴重,發展綠色、可持續的交通 運輸系統已成為各國的共同目標。共享電動滑板車以其便捷、低碳的特 點,被視為促進城市可持續交通的潛在解決方案之一。大學校園作為培 養未來社會棟樑的重要場所,在推動環保理念、引領可持續發展方面扮 演著獨特的角色。然而,目前針對校園情境下共享電動滑板車接受度的 實證研究仍相對缺乏,且較少關注環境因素的影響。 過往研究大多採用單一理論模型探討共享運具的接受度,較少使用整合 性的理論框架。延伸型整合科技接受模型(UTAUT2)作為一個綜合性的 理論框架,能夠更全面地解釋消費者對新技術的接受和使用行為。然 而,在校園共享電動滑板車的情境下,UTAUT2 模型的適用性尚未得到 充分驗證。此外,考慮到共享電動滑板車的環保屬性,環境關注因素在 接受度研究中的作用也值得深入探討。 本研究採用偏最小平方結構方程模型(PLS-SEM),結合敘述性統計和開 放性問題分析,建立一個基於 UTAUT2 並納入環境因素的評估框架。研 究以台灣 96 所大專院校的學生和教職員工為對象,通過網絡問卷收集 數據,最終獲得 574 份有效問卷。 研究結果指出,「習慣」是影響共享電動滑板車接受度最重要的因素, 其次是「便利條件」和「享樂動機」。環境關注程度作為新增構面也表 現出顯著影響。研究建議台灣各大學校園應優先改善便利條件和增強使 用體驗,同時在推廣過程中強調環保理念。本研究為大學校園引入和管 理共享電動滑板車服務提供了理論依據和實務指導,也為未來在更廣泛 的公共領域推廣共享電動滑板車服務提供了有價值的參考。 |
| 英文摘要 |
The escalating global climate crisis has heightened the urgency for sustainable transportation solutions, particularly in urban and campus environments. Shared electric scooters have emerged as a promising micromobility option, offering potential benefits in terms of reduced emissions and improved last-mile connectivity. However, empirical research on the acceptance of these vehicles in university campus settings remains limited, with a notable gap in understanding the role of environmental factors in adoption decisions. This study aims to comprehensively investigate the acceptance of shared electric scooters in university campuses by extending the Unified Theory of Acceptance and Use of Technology (UTAUT2) to include environmental concern factors. The research employs a mixed-method approach, combining quantitative analysis through Partial Least Squares Structural Equation Modeling (PLS-SEM) with descriptive statistics and qualitative analysis of open-ended responses. Data were collected through an online survey distributed to students and staff across 96 higher education institutions in Taiwan. The PLS-SEM analysis revealed that habit was the most significant predictor of shared electric scooter acceptance, followed by facilitating conditions and hedonic motivation. Notably, environmental concern, introduced as a new construct to the UTAUT2 model, demonstrated a significant positive influence on acceptance intentions. Contrary to some previous technology acceptance studies, effort expectancy did not show a significant impact on adoption intentions in this context. Moreover, individual characteristics such as gender, academic status, and prior usage experience did not exhibit significant moderating effects on the relationships between the main constructs and acceptance intentions. The findings suggest that Taiwanese universities should prioritize strategies that focus on developing user habits, improving campus infrastructure to support scooter usage, enhancing the overall user experience, and emphasizing environmental benefits in their promotion efforts. Specifically, universities should consider implementing loyalty programs to encourage repeated use, invest in dedicated parking areas and charging stations, organize engaging promotional events, and integrate environmental education into their scooter-sharing initiatives. This research contributes to the theoretical understanding of shared electric scooter acceptance in campus settings by validating an extended UTAUT2 model and highlighting the role of environmental factors. It also provides practical implications for university administrators and micromobility service providers in implementing and managing shared electric scooter services effectively. Future research directions could include longitudinal studies to examine changes in acceptance over time, cross-cultural comparisons to explore the generalizability of findings, and investigation of the potential spillover effects of campus scooter usage on broader urban mobility patterns. Limitations of the study, such as the focus on a single country and the cross-sectional nature of the data, are acknowledged and discussed. |
| 第三語言摘要 | |
| 論文目次 |
目錄 目錄 i 圖目錄 iii 表目錄 iv 第一章 緒論 1 1.1 研究背景及研究動機 1 1.2 研究目的 4 1.3 研究範圍與研究對象 5 1.4 預期貢獻 5 1.5 研究流程 6 第二章 文獻回顧 8 2.1 微型運輸之定義及定位 8 2.2 共享電動滑板車發展過程及現況 8 2.3 新型運具接受程度之相關研究 20 2.4 延伸型整合科技接受模式之應用 34 2.5 文獻回顧小結 40 第三章 研究方法 42 3.1 研究架構 42 3.2 研究假說 44 3.3 研究設計 50 3.4 問卷樣本蒐集 63 3.5 資料分析方法 65 第四章 實證分析 69 4.1 問卷回收 69 4.2 樣本結構之敘述性統計分析 69 4.3 信度分析 79 4.4 驗證性因素分析 81 4.5 研究構面問項之敘述性統計分析 84 4.6 結構化方程式 92 4.7 樣本學校屬性對共享電動滑板車接受程度之影響 105 4.8 開放性題目之敘述性統計 108 4.9 實證分析小結 110 第五章 研究結論與建議 112 5.1 研究結論 113 5.2 研究建議 118 5.3 實務建議與未來展望 120 參考文獻 125 附錄 正式問卷 158 圖目錄 圖 1.1 研究流程圖 7 圖 2.1 Bird公司之共享電動滑板車 10 圖 2.2 Bird公司手機應用程式之教學頁面 11 圖 2.3 UCLA之共享運具停泊位置 14 圖 2.4 德克薩斯大學奧斯汀分校針對共享電動滑板車停泊問題之指引 15 圖 2.5 oloo共享電動滑板車之特色介紹 17 圖 2.6 oloo共享電動滑板車之使用教學 17 圖 2.7 整合科技接受模型(UTAUT)架構圖 22 圖 2.8延伸型整合科技接受模式(UTAUT2)架構圖 29 圖 3.1研究架構圖 44 圖 3.2研究假設圖 49 圖 4.1 本研究結構模型之路徑係數圖 94 表目錄 表 2.1 UTAUT之構面一覽表 27 表 2.2 UTAUT2新增之構面 33 表 3.1 研究假設、編號、定義表 49 表 3.2 本研究操作型定義之彙整 53 表 3.3 績效預期構面之題號、問項及問項參考來源 55 表 3.4 努力預期構面之題號、問項及問項參考來源 56 表 3.5 努力預期構面之題號、問項及問項參考來源 57 表 3.6 努力預期構面之題號、問項及問項參考來源 58 表 3.7 努力預期構面之題號、問項及問項參考來源 59 表 3.8 努力預期構面之題號、問項及問項參考來源 60 表 3.9 努力預期構面之題號、問項及問項參考來源 61 表 3.10 環境關注程度構面之題號、問項及問項參考來源 62 表 3.11 使用意向構面之題號、問項及問項參考來源 63 表 4.1 受測者性別屬性 70 表 4.2 受測者就讀就職之學校屬性 70 表 4.3 受測者在學校之身份別屬性 75 表 4.4 受測者月可支配金額之屬性 76 表 4.5 受測者在校園移動方式之屬性 76 表 4.6 受測者對共享電動滑板車之了解程度之屬性 77 表 4.7 受測者有否使用過共享電動滑板車之屬性 78 表 4.8 受測者對自身校園共享電動滑板車之服務知悉之屬性 78 表 4.9 受測者使用共享電動滑板車之頻率 79 表 4.10 模型中各構面之信度分析 79 表 4.11 研究模型之各研究構面及問項之收斂效度 82 表 4.12 研究模型各構面之區別效度 84 表 4.13 績效預期構面各問項之敘述性統計表 85 表 4.14 努力預期構面各問項之敘述性統計表 86 表 4.15 社群影響構面各問項之敘述性統計表 86 表 4.16 便利條件構面各問項之敘述性統計表 87 表 4.17 享樂動機構面各問項之敘述性統計表 88 表 4.18 價格價值構面各問項之敘述性統計表 89 表 4.19 習慣構面各問項之敘述性統計表 90 表 4.20 環境關注程度構面各問項之敘述性統計表 91 表 4.21 使用意向構面各問項之敘述性統計表 91 表 4.22 模型適配度表 92 表 4.23 本研究結構模型之路徑分析結果 94 表 4.24 性別與不同構面路徑分析表 96 表 4.25年級/身份與不同構面路徑分析表 97 表 4.26 使用經驗與不同構面路徑分析表 97 表 4.27 決定係數分析表 98 表 4.28 研究假設及檢定結果 103 表 4.29 是否提供共享電動滑板車服務之Mann-Whitney U分析表 106 表 4.30 學校與FC2問項之學校平均分 107 表 4.31 開放性題目之敘述性統計表 109 |
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