Information for Efficient Decision Making:Big Data, Blockchain and Relevance

Information for Efficient Decision Making:Big Data, Blockchain and Relevance

有效决策信息：大数据、区块链与相关性
会计学

原价：

￥ 1812.5

售价：

优惠

平台大促低至8折优惠

发货周期：预计3-5周发货

作者

Balachandran, Kashi R.(编辑)

出版社

World Scientific Publishing

出版时间

2020年11月20日

装帧

精装

ＩＳＢＮ

9789811220463

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页码

716 pp

语种

英文

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图书简介

Can there be reliable information that is also relevant to decision making? Information for Efficient Decision Making: Big Data, Blockchain and Relevance focuses on the consolidation of information to facilitate making decisions in firms, in order to make their operations efficient to reduce their costs and consequently, increase their profitability. The advent of blockchain has generated great interest as an alternative to centralized organizations, where the data is gathered through a centralized ledger keeping of activities of the firm. The decentralized ledger keeping is one of the main features of blockchain that has given rise to many issues of technology, development, implementation, privacy, acceptance, evaluation and so on. Blockchain concept is a follow-up to big data environment facilitated by enormous progress in computer hardware, storage capacities and technological prowess. This has resulted in the rapid acquiring of data not considered possible earlier. With shrewd modeling analytics and algorithms, the applications have grown to significant levels. This handbook discusses the progress in data collection, pros and cons of collecting information on decentralized publicly available ledgers and several applications.

Preface; About the Editor; About the Contributors; A Brief Introduction to Blockchain Economics (Long Chen, Lin William Cong and Yizhou Xiao); Data Fiduciary in Order to Alleviate Principal — Agent Problems in the Artificial Big Data Age (Julia M Puaschunder); Blockchain Technology Adoption Decisions: Developed vs. Developing Economies (Alnoor Bhimani, Kjell Hausken and Sameen Arif); A Discussion on Decentralization in Financial Industry and Monetary System (Alfred Ruoxi Zhang, Farrokh Zandi and Henry Kim); Raising Funds with Smart Contracts: New Opportunities and Challenges (Katrin Tinn); The Blockchain Evolution and Revolution of Accounting (Kimberlyn George and Panos N Patatoukas); What Accountants Need to know about Blockchain (Michael Alles and Glen L Gray); Management Control and Information, Communication and Technologies: A Bidirectional Link — The Case of Granarolo (Sebastiano Cupertino, Paolo Taticchi and Gianluca Vitale); A Brave New World: The Use of Non-traditional Information in Capital Markets (Partha S Mohanram); Analyzing Textual Information at Scale (Lin William Cong, Tengyuan Liang, Baozhong Yang and Xiao Zhang); Blockchain-Enabled Supply Chain Transparency, Supply Chain Structural Dynamics, and Sustainability of Complex Global Supply Chains — A Text Mining Analysis (Pankaj Kumar Medhi); Blockchain Solutions for Agency Problems in Corporate Governance (Wulf A Kaal); Economics of Cryptocurrencies: Artificial Intelligence, Blockchain, and Digital Currency (J D Agarwal, Manju Agarwal, Aman Agarwal and Yamini Agarwal); Developing Blockchain-Based Carbon Accounting and Decentralized Climate Change Management System (Qingliang Tang and Lie Ming Tang); Usefulness of Corporate Carbon Information for Decision-Making (Rong He, Le Luo and Qingliang Tang); Motivating Innovation and Creativity: The Role of Management Controls (Shelley Xin Li and Kenneth A Merchant); Board Governance and Information Quality (Bin Srinidhi); Evolving Standards of Fair Value and Acquisition Accounting (Stephen Bryan, Steven Lilien, Bharat Sarath and Yan Yan); Evolving Blockchain Applications: Multiple Semantic Models and Distributed Databases for Blockchain Data Reuse (Daniel E O’Leary); Have Accounting Reports Become Less Useful for Decision-Making? (Joshua Ronen); Value of Fixed Asset Usage Information for Efficient Operation: A Nontraditional View (Kashi R Balachandran); Role of Blockchain, AI and Big Data in Healthcare Industry (Prashant Sharma, Shikha Mehra and Pankaj Gupta); Index;

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