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系統識別號 U0026-3007201416332800
論文名稱(中文) 高齡駕駛者使用車載產品之創新抵制及其前因
論文名稱(英文) Antecedents of Innovation Resistance of Senior Drivers’ Using Telematics
校院名稱 成功大學
系所名稱(中) 電信管理研究所
系所名稱(英) Institute of Telecommunications and Management
學年度 102
學期 2
出版年 103
研究生(中文) 林欣怡
研究生(英文) Hsin-Yi Lin
學號 R96011044
學位類別 碩士
語文別 英文
論文頁數 85頁
口試委員 指導教授-廖俊雄
口試委員-徐國鈞
口試委員-黃郁雯
口試委員-呂錦山
口試委員-康信鴻
中文關鍵字 車載資通訊產品  創新抵制  高齡駕駛者  資訊超載  結構方程模式 
英文關鍵字 Vehicular telematics  Innovation resistance  Senior drivers  Information overload  Structural equation modeling (SEM) 
學科別分類
中文摘要 高齡化現象及其衍生的行車安全議題近年來已是許多國家關注的焦點,尤其是高齡駕駛族群日益頻繁的社經活動參與所導致逐年上升的道路交通事故死亡人數;車載產品及其多種應用服務的採用可以協助改善高齡駕駛者其身體限制及心理層面所帶來的障礙,藉此能夠實質地提升其行車效率,並且進一步地降低高齡駕駛者的行車肇事率;然而,高齡駕駛者仍然普遍拒絕採用車載產品或服務的情形,高齡駕駛者對於車載產品或服務所存在的抵制現象不應該只是歸咎於其年齡上的限制,而應該是一個多面向並且值得深入探討的重要議題。
本研究使用創新抵制理論來探討高齡駕駛者對於車載產品或服務的創新抵制情形及其前因,在研究架構中,除了採用傳統的創新抵制因子:功能性障礙(包含使用障礙、價值障礙、風險障礙)與心理性障礙(包含傳統障礙、形象障礙),另外再加上科技焦慮、自我效能及資訊超載等三個外部變數,藉此更完整地呈現出高齡族群對於車載產品或服務的抵制因子,資料的收集以問卷訪談的方式進行,訪問對象為55歲以上、具有普通汽車駕駛執照、每周至少開車1次以上之高齡駕駛者,最後回收回來的樣本數為500份,其中有效樣本數為360份。所收集到的資料先進行探索性因素分析以及驗證性因素分析之後,接著運用結構方程模式來檢視實證分析結果是否與研究假設相符,最後根據研究結果提出實際的管理意涵,希望盡可能地鼓勵高齡駕駛者使用車載產品或服務。
研究的結果顯示價值障礙、傳統障礙、形象障礙及資訊超載皆與高齡駕駛者的車載產品或服務之創新抵制有顯著的正向關係,其中,資訊超載對於高齡駕駛者的創新抵制影響最甚,接著是價值障礙、形象障礙與傳統障礙,但是使用障礙、風險障礙、科技焦慮與自我效能與創新抵制卻不存在顯著的關係,整體而言,心理性障礙對於高齡駕駛者的車載產品或服務之創新抵制的影響更甚於功能性障礙及外部變數,最後,本研究根據實證數據結果對於車載產品或服務的設計和推廣方式,提供了相關的管理意涵,以供相關機構或單位參考。
英文摘要 Owing to inevitable aging trend worldwide, the traffic safety issues among seniors, especially raising traffic fatalities, have drawn a great emphasis in countries. The adoption of telematics with its multiple functionalities could substantially have positive effects on seniors’ driving performance and lower road traffic fatalities by compensating their physical restrictions and mental obstacles while driving. The aim of this focus group study is to understand senior drivers’ innovation resistance and its influential factors in adopting telematics devices and services. Innovation resistance theory is applied as the theoretical framework. Functional barriers of usage, value, and risk and psychological barriers of tradition and image are incorporated in the research model together with the constructs of information overload, self-efficacy and technology anxiety.
Empirical data are collected from 360 senior drivers who age 55 years old and over and own an effective driver license in Taiwan via in-depth questionnaire survey. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are conducted to examine the discrepancy between the hypotheses and empirical data and test whether the proposed theoretical model fits the empirical data. Subsequently, structural equation modeling (SEM) is applied to test the causal model and understand the relationships among constructs. The results of SEM indicate that information overload has the strongest impact on innovation resistance, followed by value barrier, image barrier, and tradition barrier. Overall, psychological dimensions of tradition barrier and image barrier are even greater sources of senior drivers’ resistance to telematics than function barriers of value barrier and external variables of information overload for significantly showing more influential factors. In addition, three causal relationships (i.e., self-efficacy to technology anxiety, information overload to self-efficacy, and information overload to technology anxiety) are verified to be statistically significant in the predicted direction, showing the strong linkages among three external variables. In the end, this study provides some managerial implications from the perspectives of the design and campaign of the telematics for government, manufactures, and retailers to possibly encourage senior drivers in adopting vehicular telematics.
論文目次 Table of Contents IV
List of Tables VI
List of Figures VII
Chapter One Introduction 1
1.1 Background and Motivation 1
1.2 Research Objectives 5
Chapter Two Literature Review 7
2.1 Innovation Resistance Theory 7
2.2 Innovation Resistance 11
2.3 Functional Barriers 12
2.3.1 Usage Barrier 13
2.3.2 Value Barrier 14
2.3.3 Risk Barrier 15
2.4 Psychological Barriers 16
2.4.1 Tradition Barrier 17
2.4.2 Image Barrier 18
2.5 Technology Anxiety 19
2.6 Self-efficacy 20
2.7 Information Overload 22
Chapter Three Research Model and Design 25
3.1 Research Model 25
3.2 Measurement Development 25
3.3 Data Collection and Sampling 30
3.4 Analysis Method 30
3.4.1 Descriptive Statistics Analysis 30
3.4.2 Exploratory Factor Analysis 30
3.4.3 Confirmatory Factor Analysis 31
3.4.4 Structural Equation Modeling 33
Chapter Four Empirical Results 34
4.1 Descriptive Statistics Analysis 34
4.1.1 Respondent Profile 34
4.1.2 Means and Standard Deviation of Items 37
4.1.3 Analysis of Variance on Innovation Resistance 40
4.2 Exploratory Factor Analysis 43
4.2.1 EFA of Functional Barriers 44
4.2.2 EFA of Psychological Barriers 45
4.2.3 EFA of External Variables 46
4.3 Confirmatory Factor Analysis 47
4.4 Structural Equation Modeling 51
Chapter Five Conclusion 60
5.1 Summary of the Results 60
5.2 Managerial Implication 61
5.3 Limitation and Future Research 64
References 66
Appendix A: Items in Questionnaire 80
Appendix B: Items in Chinese Questionnaire 82
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