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1,112 result(s) for "Big data Economic aspects."
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Reinventing capitalism in the age of big data
Discusses how data is replacing money as the driver of market behavior and shares predictions for how data will revolutionize the market economy and make cash, banks, and big companies obsolete. --Publisher.
The data industry : the business and economics of information and big data
Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises' business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. * Defines and develops the concept of a \"Data Industry, \" and explains the economics of data to data scientists and statisticians * Includes numerous case studies and examples from a variety of industries and disciplines * Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan's Institute for Data Industry and proposed the concept of the \"data industry\". She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.
The digital era. 2, Political economy revisited
For 200 years, industry mastered iron, fire, strength and energy. Today, electronics shape our everyday objects, integrating chips everywhere: computers, phones, keys, games, household appliances, etc. Data, software and calculation frame the conduct of men and the administration of things. Everything is translated into data: the figure is king. The second volume of this series describes how the digital economy transforms market relations and why this change puts political economy to the test.
Right-time experiences
Grasp how mobile, big data, and analytics are combining to change business processes Right Experience, Right Results: Improving Profits, Margin, and Engagement with Mobile and Big Data illustrates how businesses can use mobility, big data, and analytics to enhance or change business processes, improve margins through better insight, transform customer experiences, empower employees with real-time, actionable insight, and more. The book depicts how companies can create competitive differentiation using mobile, cloud computing big data, and analytics to improve commerce, customer service, and communications with employees and consumers. In the past, the technologies used to deliver personalized and contextual services were either unavailable, unaffordable, or reserved solely for the consumer market. Today, however, the next wave of computing—mobile, cloud computing. big data, and analytics—has provided the foundation for businesses to create adaptive, personalized applications and services. Delivered point-of-need, these smarter services allow enterprise products and services to meet the burgeoning demand for always-connected, accurate, and real-time information. Right Experience, Right Results: Improving Profits, Margin, and Engagement with Mobile and Big Data is your guide to the new way of doing things. The book includes: -Real world examples that illustrate how companies across various industries are creating better business processes by integrating new technologies -A three step action plan for getting started and overcoming obstacles -An electronic checklist with numerous actions that help get you up and running with incorporating mobile, big data, and analytics -A guide to drawing insight from mobile, social, and other sources to create richer experiences If you're a CEO, chief marketing officer, marketing director, or business manager, Right Experience, Right Results gives you everything you need to harness technology to breathe new life into your business.
The Digital Era 2
Over 200 years, industry has mastered iron, fire, power and energy.Today, electronics shape our everyday objects with the widespread integration of chips; from computers and telephones to keys, games and white goods.Data, software and computation structure our behavior and the organization of our lives.
Coronavirus news, markets and AI : the COVID-19 diaries
\"Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information, both real and fake, travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: - Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across 'short term' and 'long term'; - Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump's policies; - Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; - Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities\"-- Provided by publisher.
Right-Time Experiences
\"This book illustrates how businesses can use mobility, big data, and analytics to enhance or change business processes, improve margins through better insight, transform customer experiences, and empower employees with real-time, actionable insights. The author depicts how companies can create competitive differentiation using mobile, cloud computing big data, and analytics to improve commerce, customer service, and communications with employees and consumers\"--
The algorithm : how AI decides who gets hired, monitored, promoted, and fired and why we need to fight back now
\"Hilke Schellmann is an Emmy award-winning investigative reporter, Wall Street Journal and Guardian contributor, and journalism professor at NYU. In \"The Algorithm,\" she investigates the rise of Artificial Intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents, and real-world tests, Schellmann discovers that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good. Algorithms are on the brink of dominating our lives and threaten our human future-if we don't fight back. Schellmann takes readers on a journalistic detective story, testing algorithms that have secretly analyzed job candidates' facial expressions and tone of voice. She investigates algorithms that scan our online activity, including Twitter and LinkedIn, to construct personality profiles a la Cambridge Analytica. Her reporting reveals how employers track the location of their employees, the keystrokes they make, access everything on their screens, and, during meetings, analyze group discussions to diagnose problems in a team. Even universities are now using predictive analytics for admission offers and financial aid\"-- Provided by publisher.
How and when do big data investments pay off? The role of marketing affordances and service innovation
Big data technologies and analytics enable new digital services and are often associated with superior performance. However, firms investing in big data often fail to attain those advantages. To answer the questions of how and when big data pay off, marketing scholars need new theoretical approaches and empirical tools that account for the digitized world. Building on affordance theory, the authors develop a novel, conceptually rigorous, and practice-oriented framework of the impact of big data investments on service innovation and performance. Affordances represent action possibilities, namely what individuals or organizations with certain goals and capabilities can do with a technology. The authors conceptualize and operationalize three important big data marketing affordances: customer behavior pattern spotting, real-time market responsiveness, and data-driven market ambidexterity. The empirical analysis establishes construct validity and offers a preliminary nomological test of direct, indirect, and conditional effects of big data marketing affordances on perceived big data performance.