What is technology的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

From Scientific Progress to Economic Growth: The Economics and the Economy of Science

為了解決What is technology的問題，作者Witte, Frank 這樣論述：

The past few centuries have seen an enormous increase in living standards in many parts of the world and these economies have become more complex than ever before. At the same time, progress in science and technology has reached unprecedented heights, taking us far beyond the wildest dreams of a

few generations ago. Questions as to how science, technology and the economy interact are pertinent and important ones, whose partial answers require a view "from across the fence" between disciplines.This book provides an introduction to the vast and varied field of the economics of science. It is

a unique blend of an economic perspective on the way science works, what makes scientists tick, and a study of the impact of scientific and technological progress on economies and their growth. Whether it is about the speculative market of ideas or science and technology as engines of the economy, t

here is something here for economists, engineers and scientists alike.

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照顧者對於育兒APP使用經驗及滿意度之研究

為了解決What is technology的問題，作者張可橙 這樣論述：

自2020年COVID-19疫情延燒至今，對家庭帶來很大的生活改變，其中除了育兒日常之外，在防疫期間家庭互動型態也正悄悄地改變。因此，為了解家長育兒實際需求以及使用相關資源是重要的趨勢。家有嬰幼兒的父母需要紀錄各種嬰幼兒的生活紀錄，以確保嬰幼兒的健康狀況及健康檢查，如何善用各項育兒資源，將嬰兒照護資訊化，家長可以即時了解子女目前的狀況。隨著資訊科技進步，智慧型手機的流行，數位工具也愈來愈行動化及便利性，因此針對嬰幼兒各項活動的APP也蓬勃發展。目前市場上育兒APP種類眾多，但深入探討實際使用與功能是否滿足照顧者需求的研究較少。為了解照顧者對於使用育兒APP相關經驗及滿意度為何？研究首先依據文

獻探討嬰幼兒相關文獻，了解行動裝置在嬰幼兒保育相關之領域應用，再將市面上手持行動裝置平台皆有上架的育兒APP，將各個的功能做比較與統整，以問卷調查方式了解照顧者對於育兒APP實際使用情形以及滿意度。本研究採用科技接受模式為研究架構，加入受試者背景變項探討各構面關係，利用SPSS統計分析方法來驗證各項研究假設。研究結果如下：探討照顧者對於育兒APP的使用經驗之現況與差異。「認知有用性」及「認知易用性」會影響「使用意願」；「使用意願」會影響「滿意度」。根據研究結論，提出相對應研究建議，供未來建置應用程式系統可以擴充功能參考，讓使用者滿意度更加提升。

Blood in the Machine: The Origins of the Rebellion Against Big Tech

為了解決What is technology的問題，作者Merchant, Brian 這樣論述：

The true story of what happened the first time machines came for human jobs, when an underground network of 19th century rebels, the Luddites, took up arms against the industrialists that were automating their work--and how it explains the power, threat, and toll of big tech today. The most press

ing story in modern tech begins not in Silicon Valley, Seattle, or even Shenzhen. It begins two hundred years ago in rural England, when working men and women rose up en masse rather than starve at the hands of the factory owners who were using machines to erase and degrade their livelihoods. They

organized guerilla raids, smashed those machines, and embarked on full-scale assaults against the wealthy machine owners. They won the support of Lord Byron, inspired Mary Shelley, and enraged the Prince Regent and his bloodthirsty government. Before it was over, much blood would be spilled--of rich

and poor, of the invisible and of the powerful. This all-but-forgotten and deeply misunderstood class struggle nearly brought 19th century England to its knees. We live now in the second machine age, when similar fears that big tech is dominating our lives and machines replacing human labor run hi

gh. We worry that technology imperils millions of jobs, robots are ousting workers from factories, and artificial intelligence will soon remove drivers from cars. How will this all reshape our economy and the way we live? And what can we do about it? The answers lie in the story of our first machin

e age, when mechanization first came to British factories at the beginning of the industrial revolution. Intertwined with a lucid examination of our current age, the story of the Luddites, the working-class insurgency that took up arms against automation (at a time when it was punishable by death to

break a machine), Blood in the Machine reaches through time and space to tell a story about how technology changed our world--and how it’s already changing our future.

區塊鏈技術在台灣二手車市場應用之實證研究

為了解決What is technology的問題，作者蘇祐 這樣論述：

近年來的二手車市場交易量皆比新車市場高的多，且每年逐漸上升，此市場日益壯大，價格機制卻還是相當混亂，相當不透明，故此本研究以改善台灣二手車市場資訊不對稱問題為發想，設計一套網頁系統，以以太坊區塊鏈為系統底層，且成立一個二手車聯盟來管理該系統，有意願加入此系統的車主需將車輛移至與聯盟配合之檢修場，在確認資料無誤後，聯盟會將該車輛的資料上傳至區塊鏈系統上，以供系統參與者查閱。 本研究透過設計區塊鏈系統進行實作實驗，依據區塊鏈的不可篡改性來用以改善台灣二手車市場資訊不對稱問題，並使用Node.js SDK工具提供網頁客戶端，模擬車輛資料上傳的流程，最後提出三項實驗數據以檢驗新的系統架構設計適確性

，以及檢驗資料的正確性。實驗結果顯示，本研究所提出之二手車區塊鏈系統確實可改善二手車市場資訊不對稱的問題，藉由區塊鏈的不可篡改性，讓資料上傳後就無法修改，就算覆蓋過去鏈上也都能查到相對的紀錄，確保鏈上資料的正確性，讓其餘參與者在系統上查閱時，能夠信任這份資料，進一步改善過去消費者只能以車主所提供之資料作為參考，讓二手車市場資訊更加透明，進一步提高消費者對市場的滿意度及忠誠度。