531 research outputs found
Leveraging Architectural Approaches in Web3 Applications -- A DAO Perspective Focused
Architectural design contexts contain a set of factors that influence
software application development. Among them, \textit{\textbf{organizational}}
design contexts consist of high-level company concerns and how it is
structured, for example, stakeholders and development schedule, heavily
impacting design considerations. Decentralized Autonomous Organization (DAO),
as a vital concept in the Web3 space, is an organization constructed by
automatically executed rules such as via smart contracts, holding features of
the permissionless committee, transparent proposals, and fair contribution by
stakeholders. In this work, we conduct a systematic literature review to
summarize how DAO is structured as well as explore its benefits\&challenges in
Web3 applications
The current opportunities and challenges of Web 3.0
With recent advancements in AI and 5G technologies,as well as the nascent
concepts of blockchain and metaverse,a new revolution of the Internet,known as
Web 3.0,is emerging. Given its significant potential impact on the internet
landscape and various professional sectors,Web 3.0 has captured considerable
attention from both academic and industry circles. This article presents an
exploratory analysis of the opportunities and challenges associated with Web
3.0. Firstly, the study evaluates the technical differences between Web 1.0,
Web 2.0, and Web 3.0, while also delving into the unique technical architecture
of Web 3.0. Secondly, by reviewing current literature, the article highlights
the current state of development surrounding Web 3.0 from both economic and
technological perspective. Thirdly, the study identifies numerous research and
regulatory obstacles that presently confront Web 3.0 initiatives. Finally, the
article concludes by providing a forward-looking perspective on the potential
future growth and progress of Web 3.0 technology
Decentralized vs. Distributed Organization: Blockchain, Machine Learning and the Future of the Digital Platform
The terms decentralized organization and distributed organization are often used interchangeably, despite describing two distinct phenomena. I propose distinguishing decentralization, as the dispersion of organizational communications, from distribution, as the dispersion of organizational decision-making. Organizations can be distributed without being decentralized (and vice versa), and having multiple management layers directly affects only distribution – not decentralization. This proposed distinction has implications for understanding the growth of digital platforms (e.g. amazon.com), which dominate the global economy in the 21st century. While prominent platforms typically use machine learning as their core technology to transform inputs (e.g. data) into outputs (e.g. matchmaking services), blockchain has emerged as an alternative technological blueprint. I argue that blockchain enables platforms that are both decentralized and distributed (e.g. Bitcoin), whereas machine learning fosters centralized communications and the concentration of decision-making (e.g. Facebook Inc.). This distinction has crucial implications for antitrust policy, which, I contend, should shift both its analysis and its target of action away from the corporate level and focus instead on the data level. Based on this essay’s framework, I make several predictions regarding the future of competition between centralized and decentralized platforms, the evolution of government regulation, and broader implications for managers in the digital economy and for the business schools charged with their education. I conclude with reflections on the opportunity to revive cybernetic thinking for preventing a dystopian future dominated by a handful of platform behemoths
Does Digital Transformation Promote Breakthrough Green Innovation? Empirical Evidence from Listed Chinese Manufacturing Companies
In the current era of digital economy, green innovation has gradually become an important symbol of the green development of enterprises. This paper accelerates the coordinated development of digitalization and “greenization” by using panel data from China’s A-share-listed manufacturing companies from 2007 to 2019 to study the relationship between digital transformation and breakthrough green innovation. The empirical results reveal that the source of the increase in the number of green patents promoted by digital transformation is not the breakthrough innovation reflecting quality and effect, but demonstrates technical similarity. Further analysis demonstrates that enterprises in technology-intensive industries and strong market competition environment will be more inclined toward breakthrough green innovation after a digital transformation. This study empirically supports green transformations of manufacturing enterprises while providing new ideas for cultivating enterprises to choose high-quality green innovation modes
Music 2025 : The Music Data Dilemma: issues facing the music industry in improving data management
© Crown Copyright 2019Music 2025ʼ investigates the infrastructure issues around the management of digital data in an increasingly stream driven industry. The findings are the culmination of over 50 interviews with high profile music industry representatives across the sector and reflects key issues as well as areas of consensus and contrasting views. The findings reveal whilst there are great examples of data initiatives across the value chain, there are opportunities to improve efficiency and interoperability
Digital Entrepreneurship
This open access book explores the global challenges and experiences related to digital entrepreneurial activities, using carefully selected examples from leading companies and economies that shape world business today and tomorrow. Digital entrepreneurship and the companies steering it have an enormous global impact; they promise to transform the business world and change the way we communicate with each other. These companies use digitalization and artificial intelligence to enhance the quality of decisions and augment their business and customer operations. This book demonstrates how cloud services are continuing to evolve; how cryptocurrencies are traded in the banking industry; how platforms are created to commercialize business, and how, taken together, these developments provide new opportunities in the digitalized era. Further, it discusses a wide range of digital factors changing the way businesses operate, including artificial intelligence, chatbots, voice search, augmented and virtual reality, as well as cyber threats and data privacy management. “Digitalization mirrors the Industrial Revolution’s impact. This book provides a complement of perspectives on the opportunities emanating from such a deep seated change in our economy. It is a comprehensive collection of thought leadership mapped into a very useful framework. Scholars, digital entrepreneurs and practitioners will benefit from this timely work.” Gina O’Connor, Professor of Innovation Management at Babson College, USA “This book defines and delineates the requirements for companies to enable their businesses to succeed in a post-COVID19 world. This book deftly examines how to accomplish and achieve digital entrepreneurship by leveraging cloud computing, AI, IoT and other critical technologies. This is truly a unique “must-read” book because it goes beyond theory and provides practical examples.” Charlie Isaacs, CTO of Customer Connection at Salesforce.com, USA "This book provides digital entrepreneurs useful guidance identifying, validating and building their venture. The international authors developed new perspectives on digital entrepreneurship that can support to create impact ventures.” Felix Staeritz, CEO FoundersLane, Member of the World Economic Forum Digital Leaders Board and bestselling author of FightBack, German
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