長久以來，電子化政府與公民信任之間的因果關係，一直為學者所爭論。眾多研究顯示電子化政府有助於促進公民信任感；然而，目前公民對現有電子化政府服務、電子參與滿意度偏低，且台灣社會資本逐步流失，不免令人質疑電子化政府建立公民信任感的有效性。然而，近年電子治理的提出，眾人期待實現審慎思辨的民主，顯現運用資訊通信科技讓更多公民參與決策過程的重要性。因而引起作者在電子治理對公民信任影響上研究的興趣。 本文認為電子化政府可以促進公民對政府的信任，但前提是這項機制必須值得信賴，否則將出現反效果。故作者從電子治理中的電子參與著手，探討其對公民信任的影響。主要研究方法為文獻回顧及深度訪談，其中訪談對象為十四位具我國電子參與經驗者，運用質性研究分析訪談資料，輔以文獻檢閱釐清電子參與與公民信任之間的影響路徑與因素包括三種類型：1.使用電子參與後，其正面影響因素提升公民對政府的信任感；2.使用電子參與後，其負面影響因素降低公民的內在政治效能感，進而削弱對政府的信任感；3.公民對政府的低度信任，降低使用電子參與的意願與行為。 訪談分析顯示公民對政府的信任和政府電子參與機制的信任感不足，且兩者相互影響。受訪者對政府的信任感比對政府網站和電子參與機制的信任感低，而電子參與經驗豐富者，較不信任電子參與機制；電子參與經驗淺者，較信任電子參與機制。若以電子參與的三種類型觀之，公民對電子資訊提供較為滿意、電子諮詢次之，雖然我國尚未設置電子決策制定，但是多數受訪者對此機制運作表示質疑。 我國電子參與仍在持續推動中，政府應該正視公民信任的重要性，以及電子參與與公民信任之間的負面影響因素，著重在：資訊的深度與多元性、資訊透明度、資訊品質、搜尋系統的設計完善、回應性、使用者的代表性、論壇引導話題、資訊安全與互動性的維護，並消弭數位落差、避免資訊超載等情況，以營造公民進行電子參與的環境與設備，使其有足夠誘因使用，期許我國電子參與推行順利。 / The casual relationship between e-government and citizen trust(in government) has been argued by scholars. Research has shown that e-government may improve citizen trust, but citizens are not satisfied with e-services and e-participation nowadays. When social capital in Taiwan is flowing away, people tend to suspect the effectiveness of e-government in establishing citizen trust. However, citizens still expect deliberative democracy while e-governance comes to reality recently. It means that the importance of Information and Communication Technologies (ICTs) can enrich the process of decision-making for citizen participation. That’s the reason why the author attempts to explore the effect of e-participation on citizen trust. The evidence support that e-government can improve citizen trust in government. The premise, nevertheless, is its mechanism has gained fundamental trust; otherwise, negative effects will come out. The main research methods include literature review and in-depth interview. There are 14 interviewees with experience of e-participation in Taiwan. In addition, the author used qualitative method to analyze interview data. Besides, using literature to induce three types of effects paths and causes between e-participation and citizen trust. Firstly, after using e-participation, its positive factors improve citizen trust in government. Secondly, after using e-participation, its negative factors lower internal efficacy of citizen and then weaken their trust in government. Thirdly, the low trust in government will weaken willingness and behavior of e-participation. Interview results indicate the lack of citizen trust in government and e-participation, and both also connect each other. Interviewees’ trust in government is lower than their trust in government web sites and e-participation. Citizens with rich experience of e-participation show lower trust in e-participation. On the other hand, those with poor experience of e-participation have more trust in e-participation. If we observe three types of e-participation, citizens are more satisfied with e-information than e-consultation. Although e-decision-making has not been realized in Taiwan, many interviewees suspect this mechanism. The governments in Taiwan keep pushing e-participation. They should know the importance of citizen trust and the negative factors between e-participation and citizen trust revealed in the study. Particularly, governments should focus on depth and diverse information, transparency, quality of information, friendly use of search engine, responsiveness, and representative. They should also properly manage topics of e-forum, information safety, interactivity; eliminate digital divide and avoid information overload. Government should strive for good environment and facilitate citizen usage of e-participation. Our e-participation will succeed while government has good inducement to encourage citizen.

資訊科技(Information Technology, IT)對我們的生活與企業帶來極大的影響與改變。在企業中，資訊科技經常扮演不同的角色，這些不同的資訊科技角色(IT Role)可以自動化企業流程、支援決策制定、整合資源，甚至實現轉型與創新，對於企業的決策帶來不同層面的影響。而我們從近年來新興的資訊科技─大數據與人工智慧技術中，發現了不同於過去的新資訊科技角色。為了近一步了解這個新角色，本研究選擇人工智慧應用之一的自動駕駛車作為研究案例。本研究目的是探討自動駕駛車的資訊科技所扮演的新資訊科技角色；研究問題包含 (1) 自動駕駛車的資訊科技如何影響駕駛決策制定 (2) 在決策制定過程中，人與資訊科技分別扮演何種角色與職責。 本研究採用多個案研究法，分為兩個階段。首先，為解構資訊科技的決策制定流程，本研究依據決策理論與系統理論建構一研究架構。於文獻探討的章節中，本研究根據過往文獻與案例，提出四種企業常見的資訊科技角色─Automation、Supporter、Mentor與Enabler，並將研究架構應用於以上資訊科技角色以進行調整與驗證。接著，本研究選擇Google (Waymo)與Tesla作為自動駕駛車的研究個案，並將研究架構套用於兩個個案研發的自動駕駛車。由於不同的自動駕駛車研發理念與實現方式，Google與Tesla自動駕駛車的資訊科技分別扮演兩種不同的資訊科技角色─Autonomer與Smart Automation，本研究進一步比較所有資訊科技角色的研究架構結果，了解資訊科技角色的特性、影響與適用的決策類型。 自動駕駛的決策問題與環境與過去有極大的不同。為了實現安全的自動駕駛，資訊科技需要的資料類型更加多元，除了傳統數位類型資料，也需要收集周遭環境的3D影像等資料；另外，由於決策從過去的靜態問題轉移到動態與快速變化、擁有爆炸性資料與資訊的環境中，資訊科技需要更多的應變能力以制定更即時與適當的決策。由於資料、決策問題與環境的改變，企業對於資訊科技能力的需求也隨之改變，從自動駕駛車的個案中，本研究發現原本的資訊科技角色(Automation、Supporter、Mentor、Enabler)並不具備能應對如此動態與快速變化的決策問題與環境的能力，因而根據個案提出有能力實現動態即時決策制定的兩種新資訊科技角色。 使用人工智慧技術的Google無人駕駛車扮演著Autonomer的角色。資訊科技角色Autonomer能夠與外界進行互動，並且能夠不斷地追蹤、反饋與修正以實現自我成長；此外，面對各種駕駛決策情境，也能夠在無人為干預的情況下獨力完成駕駛決策的制定。資訊科技的學習能力是面對未知與難以預測的問題的最大優勢，而Autonomer的自我學習與決策制定能力也是與其他資訊科技角色最大的不同之處。使用大數據技術的Tesla自動駕駛車的Autopilot系統扮演著Smart Automation。資訊科技角色Smart Automation擁有更進步的資料收集與分析能力，能夠在動態與快速變化的環境中處理更為複雜的決策問題；此外，面對各種駕駛決策情境，Autopilot系統能在駕駛人保持監督的條件下進行自動駕駛以駕駛輔助的方式減輕駕駛人的負擔。最後，我們發現對於決策制定，資訊科技不僅能扮演一個完全獨立的角色，也能夠扮演一個與人互補的角色。大部分的人工智慧如同Google無人駕駛車做為一個Autonomer的角色，但同時更多企業目前使用的資訊科技屬於Supporter、Mentor與Smart Automation以支援或強化決策者的能力。 本研究探討在自動駕駛過程中不同資訊科技角色如何影響決策制定，以及駕駛人與資訊科技的角色與職責。並且從決策類型與資訊科技能力的角度，協助決策者與使用者全面地了解每個資訊科技角色的特性與適用的決策類型。此外，科技不斷在進步，本研究也提供一個了解各種資訊科技角色的基石，透過本研究的研究架構與方法，協助企業與決策者了解不同資訊科技對於決策的影響，本研究結果也能延伸應用於其他自動化、大數據與人工智慧相關領域，如無人工廠、吾人航空載具、工業4.0與金融科技(Fintech)。 / Information technology (IT) has brought great changes to people and business. In various applications, IT plays diverse roles that can automate business processes, support decision-making, integrate resources, and enable transformation and innovation and brings the impacts on different aspect of decision-making in enterprises. However, with the emerging technology of big data and artificial intelligence (AI), there is a new role for IT. To understand this role, we chose the autonomous car, an application of AI, as a study case. The objective of the research is to understand the new roles played by IT in the autonomous car. We focused on two questions: (1) how IT impacts decision-making in the autonomous car; and (2) what roles do IT and humans play during the decision-making process. This study applies a multiple case study in two phases. First, we built a conceptual framework, based on decision theory and system theory, to deconstruct the decision process of IT. To adjust and verify the framework, we applied it to actual cases and proposed IT roles of Automation, Supporter, Mentor and Enabler. Second, we applied the framework to the chosen autonomous car case studies, Google (Waymo) and Tesla, to explore the new role of IT in the autonomous car. Because of the different philosophies, there were two distinct roles played by IT in Google and Tesla’s autonomous cars, Autonomer and Smart Automation, respectively. We furthermore compared the frameworks of Google and Tesla, as well as the existing and new IT roles, explained the differences regarding the IT roles and decision types, and found out the applicable decision-making type of each IT roles.. Compared to the past, there were the great differences for the decision problems and environment of autonomous driving. To realize the safe autonomous driving, the data IT required became more diverse including non-text or non-digit data; besides, the decision-making also changed from static decision problems into dynamic and rapid decision environment with the explosive data and information that IT required more resilience to make decision. Due to the changes of the data, decision problems and environment, the demand for IT capability also changed. From the cases of the autonomous car, we found the original roles including Automation, Supporter, Mentor and Enabler was not enough – they did not possess the capability to make the dynamic and instantaneous decision. Therefore, we proposed two new IT roles – Smart Automation and Autonomer in this research that these two new IT roles which were applicable to the dynamic and instantaneous decision-making. The computer of the Google driverless car using AI technology acted as an Autonomer that was responsible for interacting with the surroundings and being self-growing with continuous tracking and adjustment; furthermore, under driving decision circumstances, this computer could assume the entire decision-making process without human intervention. The self-learning and decision-making ability of Autonomer is the characteristic most different from other IT roles; additionally, the learning ability was the greatest strength for dealing with unknown and unpredictable circumstances. The Autopilot system of the Tesla self-driving car, leveraging big data technology, acted as a Smart Automation that could process more complex decision problems in the dynamic environment with the advancement of data collection and analysis ability; furthermore, under the driving decision circumstances, the Autopilot system of the Tesla self-driving car could temporarily take over the driving control to decrease the driving burden and provide assistance to make driving easier. According to the research results, IT can not only play a totally independent role but also a complementary role. Most AI played the same IT role – Autonomer, such as the computer of the Google driverless car; meanwhile, much of the IT introduced by businesses acted as Supporter, Mentor and Smart Automation to assist and complement humans. This research provided a perspective for identifying how the different IT roles impact decision-making while driving an autonomous car and clarify the responsibility of humans and IT in the driving experience; moreover, from the perspective of decision problems and IT ability, it also provided a comprehensive and general understanding for realizing the characteristics of diverse IT roles and the applicable decision problems.

第一章以施奈德（Richard C. Snyder）等所創之﹁決策制訂模型﹂（Decision-Ma- king Model）為研究蘇聯決策制訂之指涉架構。並就﹁外交政策﹂之界定，探討外交 政策之研究途徑、目標、手段、權力基礎，以及國家利益和安全。再分析蘇聯之決策 制訂與執行架構，及影響其外交、軍事決策制訂與執行之機構。 第二章首先界定﹁戰術武器﹂一詞，再研究核子時代之戰略理論，如嚇阻理論、巨型 報復與彈性反應（全面之戰爭與有限戰爭）．．．．．．等攻擊與防衛之理論，並探 討對於蘇聯戰略武器時代之適用性，以及﹁贏得核子戰爭﹂之真實性為何。 第三章從國際層面，分析戰略武單競賽與管制之理論與實際。悉心研究自第二次世界 大戰後所曾試探解決國際上戰略武器競賽之各種裁減和管制方案，作為分析未來﹁戰 略武器管制﹂可行性研究的基礎 第四章就﹁共產主義意識型態﹂、﹁俄羅斯傳統﹂和﹁國家目標與行動綱領﹂，從理 論和實際並重的角度判斷外交政策之決策制訂和執行。 第五章軍事戰略理論、戰略兵力部署及其指揮結構。 第六章以美蘇﹁戰略武器管制談判﹂第一、二階段為個案，分析蘇聯對於戰略武器管 制、外交、軍事之政策制訂，以及未來戰略武器管制之展望。 結論