| dc.contributor.advisor | 尚孝純 | zh_TW |
| dc.contributor.advisor | Shang, Shari S.C. | en_US |
| dc.contributor.author (Authors) | 梁志宏 | zh_TW |
| dc.contributor.author (Authors) | Liang, Chih-Hung | en_US |
| dc.creator (作者) | 梁志宏 | zh_TW |
| dc.creator (作者) | Liang, Chih-Hung | en_US |
| dc.date (日期) | 2022 | en_US |
| dc.date.accessioned | 2-May-2022 15:01:59 (UTC+8) | - |
| dc.date.available | 2-May-2022 15:01:59 (UTC+8) | - |
| dc.date.issued (上傳時間) | 2-May-2022 15:01:59 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0109932083 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/139989 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 經營管理碩士學程(EMBA) | zh_TW |
| dc.description (描述) | 109932083 | zh_TW |
| dc.description.abstract (摘要) | 新興產業的演化同時也帶動產業之生態系的進化，生態系內的個別參與者如何辨識產業演化模式並採取適當策略，使自身順應產業演化得以生存，並進而成為俱相對優勢的參予者，為本研究想探索的核心議題。本研究以無人駕駛車產業的演化及其生態系內的智慧相機為例，透過產業的實際演化過程分析生態系參予者應採取之演化策略。本研究透過釐清產業生態系內個別關鍵參予者所提供的價值，解析生態系內各關鍵角色及其所屬之分工位置。同時，定位智慧相機與其他參與者的相互關係，理解生態系內參予者間之行為邏輯及互動誘因。以此為基礎，透過賽局模型分析產業演化過程中之因果關係，從中萃取出其演化模式，並據此建構出智慧相機於演化過程中應採取之生態系策略。生態系的「共生關係」及賽局理論的「價值網關係」為本研究據以解析生態系參予者間之行為邏輯及互動誘因的主要工具。共生關係協助生態系參予者借用環境資源達成生存目的，而價值網關係促使參予者採取適當策略創造生存優勢。賽局分析部分，本研究採用競合策略所用之賽局模型，分析無人駕駛車產業演化過程中改變產業進程的八個關鍵事件，透過該模型，演繹關鍵事件對後續產業演化所產生之影響，並從中萃取出演化過程之因果關係及演化模式。本研究發現產業之演化如同生物之進化，即是不斷地尋找生命的出路。而產業演化過程中持續出現的「互補性技術」及「階段性區隔市場」即為產業及其生態系在順應演化過程中，尋找出路的具體表現。二者在演化過程中協助產業及其參予者突破限制，並產生演化所需之推拉動能。生態系參予者應妥善運用此二樞鈕所提供之槓桿，作為其生態系策略之核心，創造自身於演化過程中之相對優勢。 | zh_TW |
| dc.description.abstract (摘要) | Industrial evolution unfolds along with its ecosystem development. How an individual participant in the ecosystem can identify the evolution patterns and apply suitable strategy to survive well in the process and furthermore to develop its advantage along the path is what this research is aiming to explore. By looking into the example of self-driving industry’s evolution and smart camera in its ecosystem, this study attempts to extract an applicable strategy guideline to help the ecosystem participant to live along and grow stronger toward the realization of a market that is being newly developed.The research takes four steps to reach the goal. Firstly. It deconstructs the industry and its ecosystem into key participants, clarifies the value and labor division that each participant provides among the entire network. Then, by mapping the relationship between the smart camera and other participants, it tries to find out the related behavioral motivation among the ecosystem members. Upon this basis, this research furthermore uses the gaming theory to figure out the causal relationship amid the evolution dynamic and extract common patterns accordingly. At last, this research formulates the strategy guideline for the participant like smart camera to obtain its viability and potency toward the realization of self-driving vehicle.Symbiosis for the ecosystem and Value-Network for gaming theory are the two perspectives this research uses to get insights into what drives the behavior and related motivation in the ecosystem during evolution. Symbiosis explains how the individual exploits the environmental resources for viability. Value-Network supports to take proper strategy to obtain the potency.This research applies the gaming theory that’s commonly used in the “co-opetition” to analyze eight critical events that were considered to have changed the evolutional path in the self-driving industry. Through this analysis, it infers what the likely consequences the events would bring about in the following evolution and extracts the causal relationship and evolutional patterns amid the dynamics.This research discovered that industrial evolution shares the same pattern as biological evolution, i.e. “Life will keep finding its way out”. The repeating emergence of “complementary technologies” and “interim segmental markets” is how the industrial evolution embodies this pattern. It supports the industry and its ecosystem to break through hurdles and generates the momentum needed in the evolutional process. The participant in ecosystem should therefore take good leverage of the two pivots as the core of its ecosystem strategy and obtain advantage over the evolution toward its realization. | en_US |
| dc.description.tableofcontents | 目次第一章 緒論 - 7第一節 研究動機 - 7第二節 研究目的 - 8第二章 無人駕駛車產業 - 9第一節 產業介紹 - 9產業之歷史與回顧 - 9產業現況剖析 - 11產業發展的動能 - 12產業未來發展 - 13第二節 產業生態系 - 14生態系成員 - 14生態系成員之相互關係 - 23生態系內的商業賽局 - 25第三章 研究方法 - 26第一節 研究設計 - 26第二節 資料收集 - 27第三節 資料分析 - 27第四章 研究結果 - 28第一節 研究發現 - 28第二節 智慧相機之機會 - 43第三節 智慧相機之挑戰 - 44第四節 智慧相機之生態系策略 - 45第五章 結論與建議 - 46第一節 結論 - 46第二節 研究貢獻(理論/實務貢獻、管理意涵) - 48第三節 研究限制 - 48第四節 實務建議與未來研究建議 - 48參考文獻 - 48 | zh_TW |
| dc.format.extent | 2116727 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0109932083 | en_US |
| dc.subject (關鍵詞) | 產業演化 | zh_TW |
| dc.subject (關鍵詞) | 生態系策略 | zh_TW |
| dc.subject (關鍵詞) | 自動駕駛 | zh_TW |
| dc.subject (關鍵詞) | 無人駕駛車 | zh_TW |
| dc.subject (關鍵詞) | 智慧相機 | zh_TW |
| dc.subject (關鍵詞) | Industrial evolution | en_US |
| dc.subject (關鍵詞) | Ecosystem strategy | en_US |
| dc.subject (關鍵詞) | Autonomous driving | en_US |
| dc.subject (關鍵詞) | Self-driving vehicle | en_US |
| dc.subject (關鍵詞) | Smart camera | en_US |
| dc.title (題名) | 產業演化與生態系策略研究 - 以無人駕駛車產業之演化及智慧相機之生態系策略為例 | zh_TW |
| dc.title (題名) | Industrial evolution and its ecosystem strategy - Case study of smart camera’s ecosystem strategy along the self-driving car’s industry evolution | en_US |
| dc.type (資料類型) | thesis | en_US |
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| dc.identifier.doi (DOI) | 10.6814/NCCU202200398 | en_US |
