導論、全球化與去風險化 (De-risking) Introduction, Globalization & De-risking
今日核心任務:建立 IB 分析的基線,理解從「效率優先」到「安全優先」的典範轉移,並透過《未生》解碼國際企業的底層運作邏輯。 Core mission today: set the baseline for IB analysis, understand the paradigm shift from “efficiency first” to “security first,” and use Misaeng to decode how multinational operations actually run.
從「啥?」到「啊哈!」 From “Huh?” to “Aha!”
本學期我們將進行一項教學實踐研究計畫。這不僅是一門課,更是一個實驗室。我們將探索生成式 AI (GenAI) 如何作為你的認知鷹架 (Cognitive Scaffold)。 This semester doubles as a teaching-practice research project. Treat the class as a lab: we will test how Generative AI (GenAI) can act as your cognitive scaffold.
目標不是讓 AI 替你寫作業,而是讓它幫助你將隱性知識(Tacit Knowledge)轉化為顯性知識(Explicit Knowledge)。 The goal is not to outsource thinking. The goal is to use AI to help you convert tacit knowledge into explicit knowledge—structured, defensible, and shareable.
過去 40 年,Hill 教科書告訴我們全球化是基於「比較利益」與「效率」。 For the last 40 years, textbooks like Hill framed globalization around comparative advantage and efficiency.
但 2026 年的現實是:政治理性 (Political Rationality) 正在凌駕於經濟理性 (Economic Rationality)。 But the 2026 reality is different: political rationality is overriding economic rationality—security and resilience now compete with pure cost efficiency.
Immanuel Wallerstein 的世界體系理論提供了「結構性」視角,解釋了去風險化 (De-risking) 的根本原因。 Immanuel Wallerstein’s World-Systems theory adds a structural lens: it explains why “de-risking” is not just a policy slogan, but a predictable response from core powers trying to defend their position.
指原本獨立的國家市場透過標準化產品融合為一個巨大的全球市場。 Previously separate national markets converge into a single global market, driven by product standardization.
企業將價值鏈分散至全球最具成本效益的地點 (Location Economies)。 Firms spread their value chain across locations that offer the best combination of costs and capabilities (location economies).
《未生》第一集不僅是職場劇,更是國際貿易的「編碼與解碼 (Encoding/Decoding)」教程。 Episode 1 of Misaeng is more than a workplace drama—it is an “encoding/decoding” tutorial for international trade and cross-border coordination.
張克萊進入 One International 遇到的痛苦,源自於他看不懂這個系統的語言。這隱喻了 IB 的基礎:如果不懂術語、不懂流程,你就無法參與全球商業運作。 Jang’s early struggles come from not speaking the system’s language. That is IB 101: if you do not understand terminology and process, you cannot participate in global business execution.
場景分析:檔案歸檔的崩潰。這代表「標準作業程序 (SOP)」與「分類學 (Taxonomy)」。跨國管理必須建立統一編碼,否則總部無法與分公司溝通。 Scene decode: the filing meltdown is a lesson in SOP and taxonomy. MNCs need shared encoding; without it, HQ cannot coordinate with subsidiaries.
提單/提貨單。通常同時扮演收據、運送契約與「物權證明 (Document of Title)」;沒有正本提單(或無法證明合法持有人),買方很難主張提貨權。 Bill of Lading. Often serves as a receipt, a contract of carriage, and a document of title. Without the original (or a verified lawful holder), cargo release can be blocked.
信用狀。銀行的付款承諾:只要文件符合條款,就支付。用「文件」來解決互不信任(怕發貨不給錢/怕給錢不發貨)。 Letter of Credit. A bank’s conditional payment undertaking: pay when documents strictly comply. It solves trust problems by trading “documents” rather than promises.
FOB(船上交貨)。賣方在指定裝運港將貨物交上船(或等效交付),之後風險多由買方承擔。它界定了風險移轉點與成本責任。 FOB (Free On Board). Seller delivers the goods on board at the named port; risk generally transfers to the buyer from that point. It defines the handoff of risk and cost responsibilities.
Incoterms(國貿條規)。國際商會制定的標準術語,界定買賣雙方在交貨、風險、費用與責任上的分工(如 FOB, CIF, DDP)。 Incoterms. Standard trade terms (ICC) that clarify delivery obligations, risk transfer, cost allocation, and responsibilities (e.g., FOB, CIF, DDP).
現在,我們運用 AI Scaffolding 來模擬 One International 實習生的工作挑戰。請依序完成以下任務。 Now we use AI scaffolding to simulate the work challenges of an intern at One International. Complete the tasks in order.
情境:張克萊弄亂了檔案。請設計一套「跨國貿易檔案命名與歸檔邏輯」,讓韓國總部與美國分公司都能在 3 秒內找到同一份合約。 Scenario: Jang messed up the filing. Design a cross-border trade file naming + archiving logic so that HQ (Korea) and a US branch can find the same contract within 3 seconds.
大二學生對 B/L 的嚴重性無感。讓我們用 AI 找出台灣企業因為「流程疏失」或「文化誤解」導致的真實失敗案例。 If “B/L” still feels like boring paperwork, use AI to make it concrete. Find Taiwan-related overseas failures caused by execution issues (process lapses or cultural misreadings)—not strategy mistakes.
在離開前,請確認你能回答以下問題: Before you leave, make sure you can answer:
你在本頁的輸入(命名規則、反思、貼上的 AI 結果、以及附件檔)可以被打包成檔案下載,並且一鍵上傳到課程的 Google Sheets(上傳網址不會顯示在頁面上)。 Your inputs on this page (naming rule, reflection, pasted AI outputs, and an optional evidence file) can be packaged for download, and uploaded to the course Google Sheet (the upload endpoint is not displayed on the page).
提示:以上資訊會寫入你的下載檔與 Google Sheets 記錄,方便後續學習分析。 Tip: this metadata is embedded in your downloaded file and the Google Sheets log for learning analytics.
你可以上傳一個文字檔(例如:AI 對話紀錄、分組筆記)。系統會把內容一併打包,並嘗試寫入 Google Drive。 Upload a text-based file (e.g., AI chat log, group notes). The content will be packaged and sent to Google Drive.
把你剛剛在 AI 端得到的輸出貼回來,讓檔案與 Sheets 能完整保存你的思考歷程。 Paste the AI outputs back here so your file and the Sheets log can preserve your reasoning trail.