Data Science MBA: Big Data, Digitalization, and Strategy; With Applications in R
暫譯: 數據科學MBA：大數據、數位化與策略；R語言應用實例
Coad, Alex
相關主題
商品描述
This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concepts, that will be relevant to MBA students in real-world settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work.
商品描述(中文翻譯)
這本教科書專注於企業提升長期生產力和競爭力的最重要挑戰之一：數位策略。它旨在為讀者提供對最相關議題和概念的扎實知識，這些知識對於在現實世界中學習的MBA學生來說是非常重要的。本書討論與數位策略相關的理論概念，同時使用R軟體進行實際數據分析，以說明處理現實世界數據的一些基本特徵和陷阱。本書首先澄清相關概念的意義（數位化 vs 數位轉型；機器學習、人工智慧），介紹三個數位轉型的主要模型，並解釋數位轉型對組織結構的深遠影響。接著，本書討論數據科學家的技能，以及數位轉型帶來的新倫理問題。其他主題包括數據質量、數據預處理、數據視覺化，以及預測與因果推斷之間的區別。許多這些主題都使用R的範例來說明，讓讀者熟悉數據分析，並利用這些實踐經驗獨特地闡述一些與統計分析相關的重要主題，讓讀者親自看到一些流行的統計和數據科學技術實際是如何運作的。
作者簡介
Alex Coad is a Professor at Waseda Business School (Waseda University, Tokyo, Japan), and his research focuses mainly in the areas of firm growth, firm performance, entrepreneurship, and innovation policy. Alex has taught an MBA course on "Data Science for Management" at Waseda every year since 2020. Alex has published over 100 articles in international peer-reviewed journals. According to Google Scholar, Alex has over 17'000 citations and an H-index over 50. Alex is an Editor at the journals 'Research Policy' (on the Financial Times Top 50 list of journals for Business Schools) and 'Small Business Economics', and is an Associate Editor at 'Industrial and Corporate Change'. Previously Alex obtained a PhD from Université Paris 1 Panthéon-Sorbonne and the Sant'Anna School, Pisa, Italy, and held academic positions at the Max Planck Institute (Jena, DE), Aalborg University (Denmark), SPRU (Univ. Sussex, UK), and CENTRUM Graduate Business School (Lima, Peru), and also being an Economic Analyst at the European Commission (IRI group, JRC-IPTS, Sevilla). In December 2016, Alex received the 2016 Nelson Prize at University of California Berkeley. In 2024, Alex co-authored (along with Anders Bornhäll, Sven-Olov Daunfeldt, and Alex McKelvie) the Open Access book entitled "Scale-ups and High-Growth Firms: Theory, Definitions, and Measurement", also published by Springer.
作者簡介(中文翻譯)
亞歷克斯·科德（Alex Coad）是日本東京早稻田大學商學院的教授，他的研究主要集中在企業成長、企業績效、創業和創新政策等領域。自2020年以來，亞歷克斯每年在早稻田教授一門名為「管理數據科學」（Data Science for Management）的MBA課程。亞歷克斯在國際同行評審期刊上發表了超過100篇文章。根據Google Scholar的資料，亞歷克斯的引用次數超過17,000次，H指數超過50。亞歷克斯是《研究政策》（Research Policy，金融時報商學院期刊前50名名單中的期刊）和《小企業經濟學》（Small Business Economics）的編輯，並擔任《工業與企業變革》（Industrial and Corporate Change）的副編輯。亞歷克斯曾在法國巴黎第一大學（Université Paris 1 Panthéon-Sorbonne）和意大利比薩的聖安娜高等學校（Sant'Anna School）獲得博士學位，並在德國耶拿的馬克斯·普朗克研究所（Max Planck Institute）、丹麥奧爾堡大學（Aalborg University）、英國薩塞克斯大學的SPRU以及秘魯利馬的CENTRUM研究生商學院擔任學術職位，還曾在歐洲委員會（European Commission）的IRI小組（JRC-IPTS，塞維利亞）擔任經濟分析師。2016年12月，亞歷克斯在加州大學伯克利分校獲得2016年納爾遜獎（Nelson Prize）。在2024年，亞歷克斯與安德斯·博恩哈爾（Anders Bornhäll）、斯文-奧洛夫·道恩費爾特（Sven-Olov Daunfeldt）和亞歷克斯·麥克凱維（Alex McKelvie）共同撰寫了名為《擴張企業與高成長企業：理論、定義與測量》（Scale-ups and High-Growth Firms: Theory, Definitions, and Measurement）的開放存取書籍，該書也由Springer出版。
