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The Microsoft Story: How the Tech Giant Rebooted Its Culture, Upgraded Its Strategy, and Found Success in the Cloud

為了解決windows to go的問題，作者Good, Dan 這樣論述：

Imagine if you could see the playbook that returned a struggling tech empire to the top of the tech leaderboard. The Microsoft Story will help you understand and adopt the competitive strategies, workplace culture, and daily business practices that enabled the tech company to once again become a

leading tech innovator.It wasn’t so long ago that Microsoft and its Windows operating system dominated the tech industry so much so that they faced antitrust charges for what was perceived by many to be predatory, monopolistic practices. Less than a decade later, the tide had turned and Microsoft lo

st its dominance in the personal tech marketplace amidst the launch of the iPhone, the rise of Google, and the cloud computing phenomenon.But, now, Microsoft is back on top. The company’s value is soaring and once again Microsoft is being recognized as a tech leader once again. What changed?Since Sa

tya Nadella took over as CEO, the company has gone through significant changes. The company culture has become one of creativity and innovation, no longer requiring that all products revolve around Windows. The company has reevaluated their business lines, getting rid of underperforming initiatives

such as smartphones, and focused on the area of growth where the company excelled: the cloud.Through the story of Microsoft, you’ll learn: How to build a nimble company culture that supports innovation and growth. How to return a forgotten brand to the spotlight. How to recognize and build upon succ

essful business lines, while letting go of underperforming initiatives. When to change the entire way you do business. And much, much more.

windows to go進入發燒排行的影片

探討國軍人員工作塑造、心流經驗與建言行為之關聯：轉換型領導之調節效果

為了解決windows to go的問題，作者易維倫 這樣論述：

為了順應快速變遷環境並改善決策品質與效率，廣納不同想法的建言可說是組織進步的核心關鍵，這對於組織生存發展也具有重要意義。是故，如何增進部屬的建言行為實屬企業與組織重要研究議題。本研究的建言行為區分為促進型建言與預防型建言。以自我決定理論為基礎，探究工作塑造、心流經驗、與建言行為之間的關係，以及轉換型領導在上述關係中所扮演的調節角色。我們採取三個時間點（每階段相隔三週）的部屬–主管配對方式，有效回收351份國軍陸、海、空單位的配對資料，並以Mplus 8.3進行假設驗證，分析結果發現：（1）部屬的工作塑造策略與心流經驗之間具有正向關係；（2）心流經驗會中介工作塑造與促進型建言/預防型建言之正向

關係；亦言之，部屬的工作塑造策略能增加工作中的心流經驗，進而提升促進型建言/預防型建言；（3）轉換型領導會正向調節工作塑造與心流經驗的關係；意即，當部屬知覺主管展現高度的轉換型領導行為時，工作塑造與心流經驗的正向關係會增強；（4）轉換型領導會正向調節心流經驗對工作塑造與促進型建言/預防型建言的中介效果。藉由研究協助組織清楚瞭解部屬建言動機係來自經歷工作高峰體驗後的行為表現；同時，研究結果也意味著心流經驗係來自工作資源獲得與需求滿足的工作塑造。此外，部屬在轉換型領導者帶領的工作環境中，亦能加強工作塑造與心流經驗的關係，進而提升部屬建言行為的頻次。鑑此，本研究進一步針對本文的理論貢獻與管理實務意涵

加以討論，同時提出及未來研究方向建議，期能供後續研究參考。

Build a Weather Station with Elixir and Nerves: Visualize Your Sensor Data with Phoenix and Grafana

為了解決windows to go的問題，作者Koutmos, Alexander,Tate, Bruce,Hunleth, Frank 這樣論述：

The Elixir programming language has become a go-to tool for creating reliable, fault-tolerant, and robust server-side applications. Thanks to Nerves, those same exact benefits can be realized in embedded applications. This book will teach you how to structure, build, and deploy production grade N

erves applications to network-enabled devices. The weather station sensor hub project that you will be embarking upon will show you how to create a full stack IoT solution in record time. You will build everything from the embedded Nerves device to the Phoenix backend and even the Grafana time-serie

s data visualizations.Elixir as a programming language has found its way into many different software domains, largely in part to the rock-solid foundation of the Erlang virtual machine. Thanks to the Nerves framework, Elixir has also found success in the world of embedded systems and IoT. Having ac

cess to all of the Elixir and OTP constructs such as concurrency, supervision, and immutability makes for a powerful IoT recipe. Find out how to create fault-tolerant, reliable, and robust embedded applications using the Nerves framework.Build and deploy a production-grade weather station sensor hub

using Elixir and Nerves, all while leveraging the best practices established by the Nerves community for structuring and organizing Nerves applications. Capture all of your weather station sensor data using Phoenix and Ecto in a lightweight server-side application. Efficiently store and retrieve th

e time-series weather data collected by your device using TimescaleDB (the Postgres extension for time-series data). Finally, complete the full stack IoT solution by using Grafana to visualize all of your time-series weather station data. Discover how to create software solutions where the underlyin

g technologies and techniques are applicable to all layers of the project.Take your project from idea to production ready in record time with Elixir and Nerves.What You Need: To complete the Nerves weather station project in this book, you will need the following: A Linux, MacOS, or Windows computer

to build and deploy Nerves firmware imagesA Raspberry Pi Zero W or any other Nerves supported target (https: //hexdocs.pm/nerves/targets.html#supported-targets-and-systems)A VEML6030 light sensorAn BME680 environmental sensorAn SGP30 air quality sensorQwiic connect cables for weather sensors

運用資訊技術探討虹膜支付系統之研究

為了解決windows to go的問題，作者安述豪 這樣論述：

現今網路科技蓬勃發展及科技人性化的突破，新冠疫情同時也改變了台灣消費者對於付款型態，銀行界也持續推出多元的支付選擇，以方便消費者出門時，不用攜帶錢包出門消費，而現今台灣多元支付方式仍與智慧型手機等方式作為支付，較少針對「虹膜支付」進行探討。故本研究將以「虹膜支付」對於各層級消費使用意願進行研究，同時也能夠了解，透過資訊技術方式，將虹膜辨識導入多元支付系統後，對現今台灣社會可行性分析與民眾接受程度，並了解現今大部分消費者支付習慣探討認知易用性、有用性等特性對消費者行多元付款採用度與採用意願之影響進行分析。本文將透過問卷方式針對「虹膜支付」，運用各項檢定與分析為基底同時交叉比對，探討消費者使用意

願度及消費者平時消費支付方式執行市場調查，研究成果可提供給未來研究人員與相關業者參考。