系統識別號 | U0002-2906202116434100 |
---|---|
DOI | 10.6846/TKU.2021.00815 |
論文名稱(中文) | 影響疫情時代消費者使用食物外送平台意圖因素之研究 |
論文名稱(英文) | The Study on Consumers' Intention in Using Food Delivery Platforms During the Epidemic Era |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 管理科學學系企業經營碩士班 |
系所名稱(英文) | Master's Program In Business And Management, Department Of Management Sciences |
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 | 109 |
學期 | 2 |
出版年 | 110 |
研究生(中文) | 林芳聿 |
研究生(英文) | Fang-Yu Lin |
學號 | 609620017 |
學位類別 | 碩士 |
語言別 | 英文 |
第二語言別 | |
口試日期 | 2021-06-21 |
論文頁數 | 98頁 |
口試委員 |
指導教授
-
陳水蓮
指導教授 - 吳怡芳 委員 - 康信鴻 委員 - 溫丹瑋 |
關鍵字(中) |
食物外送平台 疫情時代 知覺利益 知覺風險 知覺易用性 知覺有用性 使用意圖 |
關鍵字(英) |
food delivery platform epidemic era perceived benefit perceived risk perceived ease of use perceived usefulness intention to use |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
全球疫情蔓延,許多人開始養成使用食物外送平台訂餐的習慣,形成台灣外送平台豐富的產業生態圈。然而,影響消費者在疫情時代使用食物外送平台的意圖因素尚未得到深入的探討。因此,本研究探討了影響疫情時代消費者使用食物外送平台意圖因素之研究。首先,本研究分別探討消費者對於知覺利益及、覺風險與知覺易用性及有用性之間的關係,其中,知覺利益包括: 節省時間的普遍性、無處不在的空間靈活性及個性化;而知覺風險則涵蓋:隱私風險、財務風險、時間風險及績效風險。其次,探討了知覺易用性、知覺有用性和消費者使用意圖之間的關係。 本研究共收集了567份有效問卷,並利用AMOS 2.0測試研究假設。研究結果顯示,在疫情時代下知覺利益對消費者使用食物外送平台所產生的易用性與有用性有直接顯著的影響,進而正向影響消費者的使用意圖。然而,鑒於疫情時代消費行為的改變,研究發現知覺風險不會直接影響消費者的使用食物外送平台的知覺易用性、有用性。面對後疫情時代下國內外經濟的改變,消費者的需求、喜好、消費行為亦受到影響,本研究在最後提出理論與管理之建議,以供其他學者作為未來研究的參考。 |
英文摘要 |
With the spread of the global epidemic, many people began to form the habit of ordering food on the food delivery platform, forming a rich industrial ecosystem of Taiwan's food delivery platform. However, the factors influencing consumers' intention to use food delivery platform in the epidemic era have not been deeply discussed. Therefore, this study explored the factors influencing consumers' intention to use food delivery platform in the epidemic era. Firstly, this study explores the relationship between perceived benefits and perceived risks, perceived ease of use and perceived usefulness. Perceived benefits include: ubiquity of time saving, ubiquity spatial flexibility and personalization; perceived risk includes privacy risk, financial risk, time risk and performance risk. Secondly, the relationship between perceived ease of use, perceived usefulness and consumer intention is discussed. A total of 567 valid questionnaires were collected and Amos 2.0 was used to test the hypotheses. The results show that in the epidemic era, perceived benefits have a direct and significant impact on the perceived ease of use and perceived usefulness of food delivery platform, and then have a positive impact on consumers' use intention. However, in view of the changes in consumer behavior in the epidemic era, the study found that perceived risk will not directly affect consumers' perceived ease of use and usefulness of food delivery platform. In the face of the changes in domestic and foreign economies in the epidemic era, consumer demand, preferences and consumption behavior are also affected, and this study puts forward theoretical and management recommendations for other scholars as reference for future research. |
第三語言摘要 | |
論文目次 |
Chapter 1 Introduction-1 1.1 Research Background and Motivation-1 1.2 Research Purpose-4 1.3 Research Process-5 Chapter 2 Literature Review-7 2.1 Food Delivery Industry Analysis-7 2.2 Perceived Benefit (PB)-8 2.2.1 Ubiquity of Spatial Flexibility (USF)-11 2.2.2 Ubiquity of Time Saving (UTS)-12 2.2.3 Personalization (P)-13 2.3 Perceived Risk (PR)-15 2.3.1 Privacy Risk (PvR)-17 2.3.2 Financial Risk (FR)-18 2.3.3 Time Risk (TR)-19 2.3.4 Performance Risk (PfR)-21 2.4 Perceived Ease of Use (PEOU)-22 2.5 Perceived Usefulness (PU)-23 2.6 Intention to Use (IU)-24 2.7 Influence of Perceived Benefit on Perceived Ease of Use and Perceived Usefulness-25 2.8 Influence of Perceived Risk on Perceived Ease of Use and Perceived Usefulness-29 2.9 Influence of Perceived Ease of Use and Perceived Usefulness-34 2.10 Influence of Perceived Ease of Use and Intention to Use-36 2.11 Influence of Perceived Usefulness and Intention to Use-37 Chapter 3 Research Methodology-38 3.1 Research Framework-38 3.2 Questionnaire Design-40 3.2.1 Operational Definition-40 3.2.2 Construct Measurement-41 3.3 Pre-testing-46 3.4 Sampling Procedure and Data Collection-48 3.5 Data Analysis Methods-50 3.5.1 Descriptive Statistical Analysis-50 3.5.2 Reliability and Validity Analysis-51 Chapter 4 Data Analysis and Results-52 4.1 Sampling and Respondent Profile-52 4.2 Analysis of Measurement Model-57 4.2.1 CFA and Model Fit-57 4.3 Analysis of Reliability and Validity-58 4.3.1 Reliability Analysis-58 4.3.2 Validity Analysis-60 4.4 Analysis of Structural Equation Model-65 4.4.1 Overall Model Validation-65 4.4.2 Hypothesized Relationships Testing-66 4.4.3 Adjust model results-70 Chapter 5 Conclusion-72 5.1 Discussion-72 5.2 Theoretical Implication-77 5.3 Managerial Implication-79 5.4 Limitation and Future Research-80 References-82 Appendix-95 Table 3.1 Operational Definition-40 Table 3.2 Construct Measurement-43 Table 3.3 Amount of Measurement Items-48 Table 4.1 Analysis of Respondents’ Personal Information-55 Table 4.2 Analysis between Respondents with food delivery platform-56 Table 4.3 Analysis of Research Model Fitness-58 Table 4.4 Analysis of Reliability and Convergent Validity-59 Table 4.5 Discriminative validity analysis-63 Table 4.6 Confidence Interval Test-63 Table 4.7 Goodness of Research Model Fit-66 Table 4.8 Hypotheses Test Analysis-68 Table 4.9 Adjusted Research Model Goodness of Fit-70 Table 4.10 Post-adjusted Hypotheses Test Analysis-71 Table 5.1 Result of Hypothesis Test-76 Figure 1.1 Taiwan Food Delivery Platform Business Intelligence Information-2 Figure 1.2 Research Process-6 Figure 3.1 The Conceptual Research Model-39 Figure 4.1 Analysis of Structural Equation Model-69 Figure 4.2 Post-adjusted Analysis of Structural Equation Model-71 |
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