系統識別號 | U0002-2107201411063700 |
---|---|
DOI | 10.6846/TKU.2014.00825 |
論文名稱(中文) | 影響使用數位遺產因素之研究 |
論文名稱(英文) | Factors Influence the Use of Digital Legacy |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 管理科學學系碩士班 |
系所名稱(英文) | Master's Program, 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 | 102 |
學期 | 2 |
出版年 | 103 |
研究生(中文) | 鄭宇貝 |
研究生(英文) | Yu-Pei Cheng |
學號 | 601620684 |
學位類別 | 碩士 |
語言別 | 英文 |
第二語言別 | |
口試日期 | 2014-06-27 |
論文頁數 | 77頁 |
口試委員 |
指導教授
-
陳水蓮
委員 - 康信鴻 委員 - 陳怡妃 |
關鍵字(中) |
認知價值 認知風險 數位遺產 隱私顧慮 態度強度 |
關鍵字(英) |
Perceived value Perceived risk Digital legacy Privacy concern Attitude strength |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
本研究目的在於探討知覺價值與知覺風險對於購買數位遺產管理服務的影 響。數位遺產概念在國際上獲得不少注目與探討,加上以往傳統人工的收藏漸漸 被數位收藏方式給取代。國際上開始討論數位遺產的實際價值與風險,也出現了 許多個人數位遺產管理的收費及免費服務。本研究以台灣一般消費者為研究對 象,分成使用此服務的推力與拉力兩大部分去探討消費者對於數位遺產管理服務 的認知,分別為:一、台灣消費者之涉入程度、知覺價值對於數位遺產管理服務 態度強度連結之影響,進而影響購買意願的關聯性研究;二、台灣消費者之隱私 顧慮、知覺風險對於數位遺產管理服務態度強度連結之影響,進而影響購買意願 的關聯性研究。 本研究針對台灣一般消費者發放問卷,透過網路平台與實際接觸方式發放與蒐 集問卷,共計從網路平台與實際接觸方式回收之有效消費者樣本 450 份。以 AMOS17.0 統計軟體進行信、效度分析,並以結構方程式進行假設檢定。實證結 果如下:一、涉入程度對態度強度有顯著正向影響;二、情緒價值對態度強度有 顯著正向影響;三、新奇價值對態度強度有顯著正向影響;四、財務風險對態度強 度有顯著負向影響;五、生理風險對態度強度有顯著負向影響;六、態度強度對購 買意願有顯著正向影響;七、較高的主觀規範相較於較低的主觀規範,對本研究 架構有較佳的干擾效果。最後,本研究會提出管理與理論意涵,並針對後續研究 者提出建議,提供台灣消費者對於數位遺產管理服務的認知是否與國際數位遺產 管理服務商期望相符合,進而使其對於台灣數位遺產管理服務市場有更深一層的 了解,並提供給學術研究者作為參考。 |
英文摘要 |
The digital legacy concept has recently gained considerable attention and international discussion and assets have gradually begun to be stored digitally, replacing traditional storage. The value and risk of digital legacy has become a crucial topic of study, and charged or noncharged digital legacy management services have operated for several years. This study discussed perceived value, involvement, perceived risk, privacy concern, attitude strength, and purchase intention of the digital legacy management service in Taiwan. Common online users in Taiwan were chosen as the research setting and data were collected online and from the streets. This study received 450 responses, including 60 invalid responses and 390 usable responses. AMOS 17.0 was used as a tool to analyze the research hypotheses using structural equation modeling (SEM). The hypotheses were all supported as follows. First, involvement (INV) had a significant and positive effect on attitude strength (AS); second, emotional value (EMV) had a significant and positive effect on attitude strength (AS); third, epistemic value (EPV) had a significant and positive effect on attitude strength (AS); fourth, financial risk (FR) had a negative effect on overall attitude strength (AS); fifth, physical risk (PSR) had a negative effect on overall attitude strength (AS); sixth, attitude strength (AS) had a positive effect on purchase intention (PI); seventh, subjective norm (SN) had a substantial effect in this research model. Finally, this study offers several managerial and theoretical implications for recreation farm managers and discusses further research aspects for future academics. Previous studies have only defined digital legacy and shown its relevance to daily life. How people’s perceived value, risk, and privacy concern determine the need for a digital legacy management service and peoples’ concerns regarding a digital legacy management service are topics worthy of study. |
第三語言摘要 | |
論文目次 |
Table of Contents Table of Contents I List of Tables IV List of Figures V Chapter 1 Introduction 1 1.1 Overview 1 1.2 Research Objectives 2 1.3 Research Process and Thesis Organization 3 Chapter 2 Literature Review 5 2.1 Involvement 5 2.2 Perceived Value 6 2.2.1 Emotional Value 7 2.2.2 Social Value 8 2.2.3 Monetary Value 8 2.2.4 Epistemic Value 9 2.3 Privacy Concern 10 2.4 Perceived Risk 11 2.4.1 Performance Risk 12 2.4.2 Financial Risk 12 2.4.3 Social Risk 13 2.4.4 Time Risk 13 2.4.5 Physical Risk 14 2.4.6 Psychological Risk 14 2.5 Attitude Strength 15 2.6 Purchase Intention 16 2.7 Relationship Between Involvement and Attitude Strength 17 2.8 Relationship Between Perceived Value and Attitude Strength 18 2.8.1 Relationship Between Emotional Value and Attitude Strength 18 2.8.2 Relationship Between Social Value and Attitude Strength 19 2.8.3 Relationship Between Monetary Value and Attitude Strength 20 2.8.4 Relationship Between Epistemic Value and Attitude Strength 20 2.9 Relationship Between Privacy Concern and Attitude Strength 21 2.10 Relationship Between Perceived Risk and Attitude Strength 21 2.10.1 Relationship Between Social Risk and Attitude Strength 22 2.10.2 Relationship Between Time Risk and Attitude Strength 22 2.10.3 Relationship Between Financial Risk and Attitude Strength 23 2.10.4 Relationship Between Physical Risk and Attitude Strength 23 2.10.5 Relationship Between Psychological Risk and Attitude Strength 24 2.10.6 Relationship Between Performance Risk and Attitude Strength 24 2.11 Relationship Between Attitude Strength and Purchase Intention 25 2.12 Moderating Effect 25 Chapter 3 Research Methodology 27 3.1 Research Setting 29 3.2 Questionnaire Design, pre-testing 29 3.3 Sample and Data Collection 30 3.4 Data Analysis Method 31 3.4.1 Descriptive statistics analysis 32 3.4.2 Reliability and Validity analysis 32 Chapter 4 Data Analysis Methodology and Results 33 4.1 Sampling and respondent profile 33 4.2 CFA and Model Fit 34 4.3 Reliability and Validity 36 4.3.1 Reliability Analysis 36 4.3.2 Validity Analysis 39 4.4 Structural Equation Model Analysis 46 4.4.1 Overall Model Validation 46 4.4.2 Structural Equation Model Evaluation of the Hypothesis Test 46 4.4.3 The moderating Role: Subjective Norm 52 Chapter 5 Conclusion and Implications 54 5.1 Discussion 54 5.2 Theoretical Implications 58 5.3 Managerial Implications 59 5.4 Limitations and Future Research 60 Reference 62 Appendix 73 List of Tables Table 3.1 Sources of the Measure Items 30 Table 3.2 Questionnaire and Return 31 Table 4.1 Demographic Variables of the participants’ profiles 34 Table 4.2 Analysis of Measurement Accuracy 36 Table 4.3 Analysis of Reliability and Convergent Validity 38 Table 4.4 AVE/ Squared correlation and difference of chi-squared 42 Table 4.4.1 Analysis of Discriminative Validity: Model 43 Table 4.4.2 Analysis of Goodness-of-fit measures: Model 46 Table 4.4.3 Hypothesis Test Analysis: Model 50 Table 4.4.4 Direct, Indirect and Total Effects 51 Table 4.4.5 Invariance Tests across source of information 53 Table 5.1 Results of Hypothesis Test 57 List of Figures Figure 1.1 Research Process 4 Figure 3.1 Research Conceptual Framework 28 Figure 4.1 Structure Equation Modeling Analyses 49 |
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