何宗武Ho, Tsung-Wu項明仁Hsiang, Ming-Jen2022-06-082021-10-252022-06-082021https://etds.lib.ntnu.edu.tw/thesis/detail/c967dd91ae490b85db1b9e71a4a36831/http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/117957時代演進快速多變，數位科技發展迅猛，智慧型手機取代了數位相機、計算機、手電筒、地圖、記事本，網路搜尋使得查找資料都不需要到圖書館，科技發展帶來了便利，數據驅動提升效率，但是，網路上的資訊是否都是正確的嗎？如果採用了偏誤數據為模型基礎的演算法，又會造成甚麼結果呢？本研究將對於標準作業流程SOP可能產生的應變僵化風險，以及以數據驅動卻不理解意涵與模型的侷限性時，過度依賴科技、統計、演算法所產生的偏誤風險，希望藉由微調6標準差的DMAIC方法，重新檢視定義、降低數據偏誤與模型的不確定性，並結合工作與生活經驗中發掘一些個案來探討，希望能將風險意識(risk-awareness)與企業文化相融合，使決策風險符合預期。With the rapid development of digital technology, our era changes swiftly and violently. Smartphones have outplaced digital cameras, calculators, flashlights, maps, notepads and more. Search engines have abolished the need to go to libraries and find resources, technology brought us convenience, and data-driven decisions improved work efficiency. However, is the information on the internet necessarily accurate? Moreover, if we use algorithms based on biased data, what will it result in?This research focuses on the possible risks of inadaptability to changes in SOP’s (Standard Operating Procedures), and the possible bias originated from over-reliance on technology, statistics and algorithms due to not understanding the meanings behind the data nor the limitations of the model. By using the DMAIC method of the six sigma initiative, we hope to re-define the meanings behind the data, also to reduce the data bias, and uncertainties. Investigating individual cases from work and life experiences, we look forward to enlightening the idea of risk-awareness in corporate culture, so that the probability of risks in decision-making meets our expectations.企業風險偏誤6標準差DMAICEnterprise RiskBiasesSix Sigma DMAIC學術論文