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Seeing the Unseen: Behind Chinese Tech Giants’’ Global Venturing

為了解決Alibaba的問題，作者 這樣論述：

Meet the overnight tech success stories of China’s globalizing business landscapeIn the last few years, we have seen a meteoric rise of Chinese tech companies across the world. Alibaba stock price movements unnerved investors globally, venture capitalists searched for the next Meituan or Pinduodu

o in Southeast Asia and Latin America, and of course, Tik Tok, the most popular content platform in the world today, originated from China. The founders of such companies are typically credited with the ＂tenacity to rough it out,＂ the ＂courage to venture into the unknown,＂ and the ＂vision to take th

eir companies to new heights.＂ However, the same can be said about Silicon Valley founders, or any successful entrepreneur. So, what gives Chinese founders and their companies the advantage in becoming multi-billion global enterprises? How does their leadership set strategies? How do they motivate t

heir people? How do they move so fast and defend their turf in China’s hyper-competitive tech market? When they expand overseas, how do they determine what they keep and what they need to let go of? And most importantly, what do these things mean to you as a competitor, investor, regulator, or even

as an executive or customer of such companies? Seeing the Unseen: Behind Chinese Tech Giants’ Global Venturing answers these questions and delves into the fascinating world of Chinese logic that shapes how tech leaders make and implement decisions, many of which are seldom seen outside China. In thi

s book, you will gain an accurate, concise understanding of Chinese tech companies’ reflections as they scale. You will understand the different generations of Chinese tech giants from Alibaba, Tencent, Baidu and Huawei to Pinduoduo, Meituan, ByteDance, Xiaomi and more. In this Seeing the Unseen, t

he analysis behind the success and lessons learned is summarized into a unique framework that touches on People, Organization, and Product and Leadership (POP-Leadership). The book covers: How Chinese history, folklore and Mao Zadong’s political strategies have shaped the strategies of Chinese tech

leaders, even todayThe mindsets of Chinese tech and internet companies and how they have evolved over the last two decades The unique business culture and leadership styles that steered these companies through uncertain and ultra-competitive periods How Chinese companies structure their organization

s and products and how they remain agile as they scaleThe limitations of Chinese POP-Leadership, and what these companies must shed to keep up with international players in global marketsHow Chinese POP-Leadership is now becoming international, and how international players are leveraging these lear

ningsHow the worldwide expansion of Chinese companies will alter the business landscape in the coming decadesChinese firms undertaking overseas ventures can challenge our thinking on global strategy and implementation. This book gives you a better understanding of these emergent players in the globa

l arena.

Alibaba進入發燒排行的影片

組織同形化與動態能力對電商營運模式之探討 ：以外貿廠商為例

為了解決Alibaba的問題，作者黃偉誠 這樣論述：

近年來行動科技的普及，使電子商務不但改變了消費方式，更帶動全球B2B和B2C電商市場規模急速成長，甚至改變全球交易行為和商業模式，更因為新冠疫情肆虐催化下，以致加速全球電子商務發展的腳步和節奏，使各電子商務平台迅速成長崛起，消費者需求越來越難以捉摸，使同業間的競爭越來越激烈，加上因為賣家數量的增加，使電商市場呈現出同質化現象越來越嚴重，投入跨境電商之企業趨同形現象發展，其中同形化範疇含括了物流、品牌行銷、廣告、數據分析、通路、零售及店舖經營、媒體、創意、人才培養等多方面，同形化市場加速了廠商間競爭窘境。有鑑於此，本研究欲探討外貿廠商投入電商營運活動中，在網路行銷、關鍵字規劃與分析、數據分析、

文案與數位媒體行銷等方式趨向模仿同形時，如何在同形化的電商市場中審視自身資源，充分發揮企業動態能力，打造自身差異化，進而擬訂營運模式。本研究採個案訪談法，共訪談五家曾獲得電子商務成就或優異表現之個案公司，探討個案廠商投入電商營運之動機，並如何從市場同形化過程中找出企業營運模式和發展動態能力以增加企業生存機會。本研究結果發現，在組織同形的跨境電商市場中，個案企業在投入跨境電商皆會使用投放廣告、官網SEO、Google關鍵字、Google ads、影音行銷商品影片在間接與平台一同串連，來達到曝光度最大化；平台選擇上，發現皆以阿里巴巴國際站為主要使用的跨境電商平台，因為阿里巴巴國際站長年開設客製化的

企業培訓課程輔助台灣中小企業邁入外貿，上述皆是在高度競爭同形化的電商市場中必須做的事情；最後真正突破同形化的關鍵為企業不斷增進自身企業能力以及審視整體市場來調整自身策略，進而從同形化中異形出自身公司的電商DNA，顯示出其企業自身差異化，達到企業的永續經營，在跨境電商市場之競爭趨向同形的現象中真正脫穎而出關鍵。本研究期能透過此研究，讓中小企業了解跨境電商之營運模式，讓有意轉型之中小企業了解企業在同形化市場當中具備之電商思維態度與能力，且需能與時俱進的調整營運方式，以追求企業成長和發展。

Escape from System 1: Unlocking the Science Behind the New Way of Innovation

為了解決Alibaba的問題，作者Raharso, Andreas 這樣論述：

Dr. Andreas Raharso is the former Dean of Hay Group Global Research Centre, an affiliation of Harvard University and funded by the Singapore Government. A thought-leader in disruptive innovation, he created the original 1st People Analytic module at INSEAD Business School, and two postgraduate modul

es, Next Practice and People Strategy, at the National University of Singapore Business School. Both schools rank among the top business schools globally. Andreas has also collaborated with leading businesses such as Microsoft, Amazon, Google, Alibaba, Airbnb, GE, P&G and decacorn Gojek.

基於機器學習的模型做喜好推薦應用於W公司媒合平台研究

為了解決Alibaba的問題，作者陳建安 這樣論述：

現在是資訊爆炸的時代，在行動裝置與網頁端推出服務越來越多樣化，當我們瀏覽網頁時，輸入資訊搜尋相關資料，同時也會想知道有沒有相關的或是針對我們輸入的關鍵字做出的推薦，如果能利用使用者在網頁或是手機端中留下的資料，追蹤進行蒐集與處理，並以此基礎下做出進一步的喜好推薦。藉由科技發展與創新，有著越來越多的公司與政府單位開始重視數據的運用，政府企業對於數據的來源、收集與整理、以及對演算法模型的預測能力也越來越重視，正因為如此慢慢開始使用自動化機器取代傳統人工的操作去推薦，也期望達到精準的個人化喜好推薦，而加入機器學習的推薦系統，不論是公司或是使用者其實都得到很多好處。有許多人投入推薦的改善與研究，進一

步得到更準確且有效的預測，例如Google、Amazon、阿里巴巴等公司開發的推薦系統搭配雲端運算也能為他們帶來了非常巨大的收益。本研究針對W公司媒合網站後台資料進行資料蒐集、資料處理以及後續分析，運用監督式機器學習商家與網紅的資訊及喜好評分數據來訓練學習，並預測喜好與否，本研究運用多個分類模型做比較，像是支援向量機、隨機森林、邏輯迴歸、極限梯度提升模型與輕量化梯度提升模型，目的在比較和找到最合適的分類器，應用於W公司網站平台，並以此進行分類方法的相關探討與研究，研究結果顯示在我們第三章提到的輕量化梯度提升機準確率有 85.98% 相對第二章提到的其他模型來的更高，也做了交叉驗證平均準確率有

78.57% ，代表該模型具有穩定度對於我們的喜好推薦有良好預測效果。