Данная работа посвящена решению проблемы фрагментации и быстрого устаревания информации в экосистеме Web3. Задачи, которые решались в ходе исследования: 1. Выбор источников данных, инструментария. 2. Реализация получения и обработки большого количества данных. 3. Реализация ассистента на базе искусственного интеллекта для ответов на вопросы пользователей. 4. Сопровождение, тестирование и анализ качества приложения. В рамках исследования был осуществлён выбор проверенных источников информации, таких как: официальные руководства, научные труды, онлайнфорумы, блоги и хранилища кода, произведён анализ различных инструментов, предназначенных для автоматизированного получения и обработки данных, включая методы веб-скрейпинга и парсинга и обозначен технологический стек, включающий выбор языков программирования и платформ для развёртывания. Было разработано решение для сбора базы знаний, на основе которого системы был создан ИИ-ассистент, способный отвечать на вопросы, касающиеся Web3. Система реализована в соответствии с принципами DevOps. Данная разработка способствует расширению доступа к знаниям о Web3, автоматизируя процесс сбора информации и предоставляя эффективный инструмент. Для достижения данных результатов в работе были использованы/разработаны следующие информационные технологии, в том числе программное обеспечение, облачные сервисы, базы данных и прочие: AWS, Serverless, TypeScript, VS Code, DynamoDB, ECS, Lambda, OpenAI, CloudWatch, GitHub, SNS.
This paper investigates how Web3 technologies, particularly NFTs, can create value even in traditional manufacturing companies that are generally recognized as distant from more advanced technological innovation. Using Bulgari’s launch of its first high-jewelry NFT capsule collection as a case study, the research aims to understand how Web3 strategies can be effectively adopted by manufacturing, in particular luxury brands, with an exclusivity positioning, and what forms of value they can generate and capture. Through a case study based on secondary (company’s websites, social media, magazines and fashion journals) and primary data (semi-structured interviews and focus groups), the research shows that Web3 strategies can successfully reinforce brand storytelling, create new customer engagement avenues, and preserve brand prestige while innovating. Bulgari’s approach suggests that NFTs can serve not only as digital extensions of physical luxury products but also as tools for enhancing brand equity, reaching new audiences, and unlocking emotional and experiential value. The case illustrates that digital transformation in heritage brands does not have to come at the expense of tradition. Rather, when executed thoughtfully, technologies like NFTs can become powerful instruments for reinforcing brand identity, enhancing storytelling, and engaging new audiences. The study also highlights the importance of learning outcomes in entering new value creation processes during periods of discontinuity, before enabling technologies are mature enough to ensure a high level of customers’ experience
2 source records
Fashion and Cultural Textiles
Consumer Behavior in Brand Consumption and Identification
This chapter critically investigates the concept of data-opolies —a term coined by Maurice Stucke to describe the monopolistic control over data by dominant tech corporations such as Google, Apple, Facebook, Amazon, and Microsoft (GAFAM). It explores how this concentration of data power threatens democratic resilience, distorts competition, and exacerbates socio-political inequalities. Drawing from Echeverría’s Telepolis , Cancela’s Utopías Digitales , and Lehdonvirta’s Cloud Empires , the chapter unpacks the network effects that entrench data-opolies and their capacity to manipulate user behavior, public opinion, and market dynamics. The chapter contends that these monopolistic structures erode democratic accountability and civic trust by fostering opaque algorithmic governance and undermining citizen agency. In response, it proposes emancipatory datafication strategies , including data cooperatives, algorithmic transparency, and participatory infrastructures, aimed at reclaiming democratic control over digital systems. Special attention is given to the sociopolitical implications of digital nomadism and e-diasporas as new global patterns of democratic interaction. Finally, the chapter offers a visionary assessment of Web3 technologies—blockchain, DAOs, and data cooperatives—as a potential counterweight to data-opolies. By advancing transparency and user agency, Web3 is presented as a foundation for inclusive, decentralized, and empowered digital democracies fit for the algorithmic age.
We examine how Web3-specific education and AI-generated investment guidance affect retail investor performance in crypto markets. In a twelve-month randomized controlled trial with 3,948 participants trading real tokens on a simulated CEX, investors were assigned to a control group, Web3 education, AI recommendations, or both. Measured by raw return, alpha, and portfolio diversification, both interventions improved performance, with the combined treatment producing the largest gains. Education effects accumulated over time, AI effects were immediate, and benefits were greatest for less experienced investors and on high-complexity news days. A portion of gains persisted after support was withdrawn, especially for education-based treatments, suggesting lasting benefits from knowledge acquisition alongside real-time decision support.
Chapter 4, “The (Dis)Illusion of the Web3 Decentralization,” interrogates the technopolitical and socioeconomic promises of decentralization amid the rise of Web3 and Generative AI (GenAI). Drawing from iterative action research, including fieldwork in Silicon Valley and Washington, D.C., the chapter questions whether decentralization genuinely redistributes power or merely consolidates it within a tech-savvy elite. Framed within a post-Westphalian context, it identifies three emerging paradigms—Network States, Network Sovereignties, and Algorithmic Nations—as divergent responses to this governance transformation. Engaging with the intellectual legacy of Karl Polanyi’s critique of market fundamentalism and Richard R. Nelson’s call to bridge the “moon and the ghetto,” the chapter exposes how digital infrastructures may privilege computational capital while marginalizing civic participation. Web3, often mythologized as democratizing, risks replicating algorithmic hierarchies under the guise of innovation. GenAI amplifies these risks by introducing opaque decision-making architectures governed by proprietary models and technical gatekeeping. Ultimately, this chapter urges hybrid, inclusive policy frameworks attentive to both global asymmetries and local contexts. It advances the volume’s core agenda: to critically “unplug” prevailing digital governance narratives, reinvigorate normative commitments to justice, and propose a more democratic and equitable digital transition in the era of datafied democracies and AI-driven economies.
The creator economy is valued at over $250 billion and is largely supported by ad revenue, sponsorships, and platform monetization-controlled subscription. Creators face a variety of issues such as earnings cut, face demonetization, and platform policy, which threatens sustainability as a creator. This report introduces TOKN, a hybrid Web2-Web3 monetization strategy that enables creators to tokenize their work and get paid directly for their content on platforms like YouTube, TikTok, and Instagram. By using smart contracts, micropayments, and access tokenization through APIs and browser extensions, TOKN provides creators with greater financial empowerment while maintaining the discoverability and ease of use of Web2 platforms. Through a review of monetization inefficiencies, blockchain integration, and regulatory implications, this research highlights how a hybrid solution can bridge the gap between the usability of Web2 and the financial incentives of Web3-creating a scalable, secure, and platform-agnostic monetization model for digital creators.
Jan 1, 2025·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences