Web3 is the next-generation internet, utilizing blockchain technology to power decentralized applications and give users greater control. However, the scalability limitations of blockchain create performance bottlenecks that hinder Web3’s overall processing capabilities. Among current scalability solutions, multi-chain architecture has been considered a promising approach with high flexibility. However, current multi-chain architecture lacks portability to existing blockchains and relies on relayers to solve timing issues in the interoperability process. The lack of portability makes it challenging for existing blockchains to adopt the current multi-chain architecture, significantly impeding multi-chain promotion. Moreover, relying on relayers to address timing issues leads to low efficiency and potential reliability risks. This paper introduces Zunesha, a multi-chain architecture that designs a smart-contractbased multi-chain toolkit (STACK) to provide a portable multi-chain architecture. Additionally, it introduces the Dynasty-Based Consensus Node Set Verification (DB-CNSV) protocol as a foundational safety mechanism to eliminate relayers in the interoperability process and address timing issues. Our evaluation shows that Zunesha significantly enhances the overall performance of the blockchain. As the number of subchains increases, the throughput grows almost linearly. Furthermore, the performance of inter-chain transactions surpasses that of the current mainstream multi-chain architecture, Cosmos.
S V Bhaskar, C M Harshith, Santhosh Krishna B V, K. Ashok · 5 authors
This paper discusses the architecture, implementation, and evaluation of a blockchain-based chat application that relies on Ethereum's decentralized framework. This project's main objective is ensuring that message transactions are safe and transparent, without involving a central authority, increasing data privacy and lowering the risk of data breaches. The application uses Solidity for the smart contracts and Web3.js to connect the front end, marking a move toward decentralized applications (DApps). Implementation details, security considerations, and testing outcomes are discussed to position blockchain as a viable platform for privacy-focused communication solutions.
Decentralized Autonomous Organizations (DAOs) signify a groundbreaking approach to Internet-based management, enabled by blockchain technology and cryptocurrencies, and are viewed as fundamental elements of the Web3 ecosystem. In this study, we delve into the concept of DAOs by thoroughly investigating their underlying structure, ideology, and operational principles. Furthermore, we present a novel DAO framework derived from a technical and organizational assessment and provide an overview of cutting-edge DAO tools currently available. This research enables the swift implementation of DAO creation or transformation customized to an organization’s specific stage. Additionally, we recognize current challenges and shortcomings in existing DAOs and propose areas for future exploration.
This thesis explores the implementation of a Self-Sovereign Identity (SSI) system using Ethereum and Decentralized Identifiers (DIDs). The project focuses on leveraging blockchain technology to create a secure and decentralized framework for digital identity management, incorporating Verifiable Credentials (VCs) and Verifiable Presentations (VPs). Key components include DID document management, secure user authentication, and user-friendly interface. What makes this system different is the integration with existing wallets, privacy and user control through selective disclosure, allowing users to share only necessary information, and key rotation. It also uses EIP-712 signatures for secure and structured data signing, which allows users to clearly see and understand what they are signing while the cryptography is securely handled by the wallet. Future work will focus on adding more wallet support, improving data storage, and enhancing system scalability and security.
This paper repositions the polymath as a central figure within the networked and decentralized landscape of contemporary knowledge production and distribution, reflecting on the changing states of remix culture with emergent technologies like Web3. The polymath is reconceptualized as a “DJ of Thought,” engaging in transdisciplinary remix practices that challenge conventional notions of authorship and intellectual ownership. Drawing on Michel de Certeau’s concept of everyday tactics and strategies of subversion and appropriation, the chapter examines how the polymath navigates and disrupts dominant knowledge systems through remix acts. The polymath is portrayed as a creative agent, materially manifesting knowledge through transdisciplinary remix techniques. This approach highlights the tension between the polymath’s agency in remix culture and the influence of “more-than-human” entities, such as technological infrastructures and generative models, on knowledge creation. The chapter challenges traditional knowledge hierarchies and fosters an understanding of authorial agency in the digital age, emphasizing multi-authored knowledge artifacts. It contributes to discussions on the political dimensions of remix culture and the evolving role of distributed authorship in shaping knowledge, underscoring the polymath’s capacity for creative resistance and intellectual engagement.
Md Monjurul Karim, Dong Hoang Van, Sangeen Khan, Qiang Qu · 5 authors
In recent years, the interplay between AI agents and blockchain has enabled secure and scalable collaboration among multi-agent systems, promoting unprecedented levels of autonomy and interoperability. AI agents play a vital role in facilitating complex decision making and improving operational efficiency in blockchain systems. This collaborative synergy is particularly evident in how multi-agent systems collectively tackle complex tasks to ensure seamless integration within these frameworks. While significant efforts have been made to integrate AI agents and blockchain, most studies overlook the broader potential of AI agents in addressing challenges such as interoperability, scalability, and privacy issues. In this paper, we bridge these gaps by illustrating the interplay between AI agents and blockchain. Specifically, we explore how AI agents enhance decentralized systems and examine blockchain’s role in enabling secure and scalable collaboration. Furthermore, we categorize practical applications across domains, such as Web3, decentralized finance (DeFi), asset management, and autonomous systems, providing practical insights and real-world use cases. Additionally, we identify key research challenges, including the complexities of multi-agent coordination, interoperability across diverse systems, and privacy maintenance in decentralized frameworks. Finally, we offer future directions in terms of governance, sovereignty, computation, and interpretability to promote a secure and responsible ecosystem.
The design of Web3 applications presents unique challenges due to their complex technical requirements. Despite the increasing spread of this technology, there is a notable lack of comprehensive, empirically grounded design guidelines for developing user-friendly Web3 interfaces. This study addresses this gap through a systematic three-phase approach: (1) developing initial guidelines from a literature review and industry sources (n = 31), (2) conducting evaluations using a 14-point framework based on the initial guidelines to test its effectiveness across diverse Web3 applications (n = 25), and (3) validating refined guidelines through expert evaluation sessions (n = 7). Expert evaluations highlighted the need for task-oriented rather than category-based organization of design principles. Based on these findings, we developed a structured framework organizing guidelines into four key task flows, each with three implementation levels. The framework emphasizes progressive disclosure of blockchain concepts, integrated user education, and clear state visualization. Our findings contribute to academic discussion and industry practice by providing empirically validated patterns for Web3 interface design. This study lays a foundation for creating more accessible and user-friendly decentralized applications, though future work should focus on longitudinal validation and adaptation to emerging technologies.
Regulatory efforts and disciplined legal analysis cannot blindly rely on stories concocted by crypto-enthusiasts. Such stories conveniently hide the fact that smart contracts, the technology supposed to fuel the crypto-driven Web3 economy, are inherently insecure and that their technical attributes are disadvantageous to commercial dealings, not to mention to the average user, who does not have technical expertise to safely transact by means of smart contracts. This chapter makes three simple points. Smart contracts cannot be analyzed as if they were contracts. Instead, assuming a more technical approach, they should be analyzed as computer programs that can in some circumstances assist in automating the performance of specific contractual obligations. Contrary to popular claims, smart contracts cannot ensure commercial certainty. Their common attributes, such as immutability and transparency, offer few benefits and may, in many instances, prove detrimental. To set solid foundations for future regulatory efforts and legal analyses, legal scholars and legal practitioners must refrain from proliferating misconceptions and adopt a more fact-based, technical perspective as to what smart contracts entail. They must not skip over the question of whether smart contracts create any legal problems and whether they provide any benefits at all.
The evolution of online dispute resolution (ODR) within the platform economy has fundamentally transformed the landscape of commerce and dispute resolution in the digital era. This chapter delves into the intricate dynamics of ODR mechanisms in China tailored to address transaction-related disputes as well as IP disputes. Highlighting the trajectory of ODR innovation and the convergence of multi-stakeholder interests, this chapter underscores the pivotal role of ODR in enhancing transparency through crowdsourced judgment, expedited resolution efficacy, user trust, platform loyalty, and dispute prevention. By examining the driving forces propelling ODR development – including economic efficiency, the alleviation of judicial burden, the alignment with diversified dispute resolution (DDR), and the advocacy of IP protection – this chapter elucidates the multifaceted implications and nuances of ODR implementation. It also probes into the challenges and outlines prospective advancements, paving the way for continuous ODR refinement amidst the evolving platform economy context throughout the globe. The implications of these findings, such as the emphasis of user participation and the balance of multi-stakeholder interests, extend to the evolving web3 ecosystem, emphasizing the significance of well-designed ODR mechanisms in mitigating disputes and fostering sustainability of the web3 economy. Moreover, this chapter elaborates on how ODR in China sets an influential precedent, reflecting the collaborative and innovative approach in shaping regulations, advancing IP protection, and fostering co-regulation within the digital economy globally.
The internet has undergone significant transformations over the past three decades, progressing from the early ‘read-only’ Web1 to the interactive ‘read-and-write’ Web2, and is now entering the era of Web3 marked by decentralisation, user-centricity, and transparency. In Web3, users transition from passive consumers to active participants, contributors, and owners of the digital landscape. Essentially, in this Web3 space, participants enjoy greater autonomy to create their own ‘society’ and engage in transactions.
Decentralized physical infrastructure networks (DePINs) are an emerging vertical within "Web3" replacing the traditional method that physical infrastructures are constructed. Yet, the boundaries between DePIN and traditional method of building crowd-sourced infrastructures such as citizen science initiatives or other Web3 verticals are not always so clear cut. In this work, we systematically analyze the differences between DePIN and other Web2 and Web3 verticals. For this, the study proposes a novel decision tree for classifying systems as DePIN. This tree is informed by prior studies and differentiates DePIN from related concepts using criteria such as the presence of a three-sided market, token-based incentives for supply, and the requirement for physical asset placement in those systems. The paper demonstrates the application of the decision tree to various blockchain systems, including Helium and Bitcoin, showcasing its practical utility in differentiating DePIN systems. This research offers significant contributions towards establishing a more objective and systematic approach to identifying and categorizing DePIN systems. It lays the groundwork for creating a comprehensive and unbiased database of DePIN systems, which will inform future research and development within this emerging sector.
Heiko Leonhard, Maximilian Nagl, Wolfgang Schaefers
Purpose As blockchain-based virtual worlds gain prominence within the emerging metaverse and Web3, numerous global companies and investors are buying purely virtual land to explore new business potentials and capitalize on digital assets. Given the similarities to physical real estate, this study examines the dynamics of the secondary market for virtual land and relates its returns to those of physical real estate. Design/methodology/approach Using transaction-level data from a prominent virtual land platform, the authors construct a virtual land market index based on repeat sales index methodology from traditional real estate studies. Wavelet coherence analysis is employed to examine the dynamic correlation between virtual land and various physical real estate market returns. The determinants of this correlation are estimated using stepwise regression analysis. A portfolio analysis explores the implications of adding virtual land to traditional asset portfolios. Findings The correlation between virtual and physical real estate market returns is generally low, reaching its lowest during the Covid-19 lockdowns from 2020 to 2022. It spikes during acute economic turmoil such as the initial Covid-19 outbreak or interest rate change announcements. The correlation is primarily driven by consumer and economic climate, the price of the virtual economy token and investor attention. Portfolio analysis indicates that virtual land can enhance risk-adjusted returns within a traditional portfolio, particularly when added to a commercial real estate portfolio. Research limitations/implications This study examines a single virtual land market, despite it being the oldest and one of the largest. Given the rapidly evolving nature of virtual worlds, it is crucial to further test the results and include new virtual land platforms as they emerge. Practical implications The findings provide actionable insights on portfolio implications for investors seeking alternative real-estate-like assets in the digital space. Additionally, this study offers strategic guidance for entering the metaverse, including a comprehensive overview of established virtual presences. Originality/value With the advancing digitization of real estate markets, this study is the first to explore the correlation between market returns of virtual land in the metaverse and traditional physical real estate. The findings provide valuable empirical insights for investors, policymakers, entrepreneurs and companies interested in the intersection of digital and traditional property markets.
The virtual world will be altered significantly as a result of the incorporation of metaverses into digital communication. Immersive, cooperative, and resilient 3D cybernetic environments that surpass conventional web surfing define the metaverse. Modern technology and dynamic forces that fortify the metaverse are what propel this advancement, since they allow its hybrid virtual-physical nature to be effortlessly integrated. The development and fulfilment of virtual world technologies require core capabilities including blockchain, artificial intelligence (AI), cloud computing, and 5G and 6G connection. Web3, which uses blockchain technology and smart contracts to create a decentralized, user-centric Internet, is all about the practical and geographical visibility of metaverses. Nonetheless, these ideas are connected to the broader evolution and do not conflict with one another. Because of its multiple functions, the metaverse may be used for a wide range of tasks. The gaming and entertainment sectors employ the metaverse in some of its most well-known uses. Users may enjoy a vibrant and imaginative setting in the metaverse where they can play games, watch films, go to concerts, etc. Because it may offer instructors and students a virtual environment where it is feasible to conduct training and experiments that cannot be experienced in the actual world owing to potential hazards or expenses, the metaverse can have various applications and consequences in the field of education. The metaverse will also benefit corporate growth, employee cooperation and communication, the creation of more realistic simulation models for urban development, process optimization, and many other areas. However, there are drawbacks to the metaverse as well. These include addictiveness, impairment of the ability of the mind to discriminate between actual reality and augmented or virtual reality, privacy protection, safeguarding people&s;s digital identities, information confidentiality, and the requirement for sophisticated hardware and software infrastructure in order to receive, send, simulate, and process information in real time. The Indian Information Technology Act of 2000 and its implementing rules created India&s;s current data protection system, which places requirements on businesses managing sensitive and personal data. Businesses must create organizational safeguards to protect data and get consent before processing any data. As the metaverse integrates more deeply into our digital world, a single legal framework is critical for managing the convergence of artificial intelligence and citizen privacy. In the light of newly introduced Indian Digital Personal Data Protection Act (DPDP Act) of 2023, data fiduciaries, data holders, and data processors have to be cautious of data collection and dissemination, and for this reason, metaverse app developers, app retainers, and app disseminators need special attention. Companies that employ moral artificial intelligence strategies are more prepared to navigate moral and societal traps associated with conducting business in the metaverse.
In materials science, utilizing globally distributed data is essential for advancing materials design through technologies such as materials informatics. Achieving this requires secure, transparent, and efficient methods for managing and sharing materials data. This study explores the potential of blockchain, smart contracts, Non-Fungible Tokens (NFTs), and the InterPlanetary File System (IPFS) within the Web3 framework for managing and sharing materials data. We developed and tested a prototype data management system using a thermophysical properties dataset. This system facilitates NFT minting, data storage on IPFS, and secure, traceable ownership transfer of NFTs, enhancing traceability, transparency, and security in data sharing. Additionally, decentralized systems employing blockchain technology, smart contracts, NFTs, and IPFS effectively address vulnerabilities associated with single points of failure common in traditional centralized systems. This study offers valuable insights for future materials design, demonstrating the efficacy of blockchain and related technologies in managing and sharing materials data.
Ben Biedermann, Matthew Scerri, Victoria Kozlova, Joshua Ellul
Web3’s decentralised infrastructure has upended the standardised approach to digital identity established by protocols like OpenID Connect. Web2 and Web3 currently operate in silos, with Web2 leveraging selective disclosure JSON web tokens (SD-JWTs) and Web3 dApps being reliant on on-chain data and sometimes clinging to centralised system data. This fragmentation hinders user esxperience and the interconnectedness of the digital world. This article explores the integration of Web3 within the OpenID Connect framework, scrutinising established authentication protocols for their adaptability to decentralised identities. The research examines the interplay between OpenID Connect and decentralised identity concepts, the limitations of the existing protocols like OpenID Connect for verifiable credential issuance, OpenID Connect framework for verifiable presentations, and self-issued OpenID provider. As a result, a novel privacy-preserving digital identity bridge is proposed, which aims to answer the research question of whether authentication protocols should inherently support Web3 functionalities and the mechanisms for their integration. Through a Decentralised Autonomous Organisation (DAO) use case, the findings indicate that a privacy-centric bridge can mitigate the existing fragmentation by aggregating different identities to provide a better user experience. While the digital identity bridge demonstrates a possible approach to harmonise digital identity across platforms for their use in Web3, the bridging is unidirectional and limits root trust of credentials. The bridge’s dependence on centralised systems may further fuel the debate on (de)centralised identities.
This study aims to provide an analysis of the state of recruitment in 2030. In addition, it offers a thorough analysis of AI-powered hiring solutions, stressing their effectiveness, capacity to match candidates, and user experiences while tackling issues like data privacy, equity, and implementation difficulties. Additionally, it examines AI technologies such as video interviews, chatbots, machine learning, Natural Language Processing (NLP), and predictive analytics, giving HR managers advice on how to use AI in talent management and acquisition. The article also covers future HR characteristics and more general HR duties that are necessary for companies to stay innovative and competitive. It also looks at how the Web3 economy and block chain affect hiring practices, pointing out inefficiencies in the way things are done now with ATS, AI, and outside agencies. Through tools for candidate matching, resume screening, interview scheduling, and diversity promotion, the study emphasizes AI's role in maximizing recruitment. It goes on models, research, and real-world instances of AI solutions used in talent acquisition. The potential and difficulties in a globalized and digitalized economy are discussed from the perspective of HR in 2030. Along with examining demographic, economic, and technological developments, the report also looks at the demands for job creation from 2020 to 2030 and the effects of globalization, automation, and other factors on occupations and skills.
This chapter examines how Web3 technologies like blockchain and the metaverse are transforming organizational functions and business models. The metaverse is enhancing human resource processes such as recruitment through immersive job previews, virtual interviews/job fairs, and innovative training via VR simulations, gamification, and AI assistants. In manufacturing, the industrial metaverse enables cost savings, quality improvements, flexibility, faster delivery, and sustainability by leveraging capabilities like digital twins and real-time facility reconfigurations. Web3 and the metaverse are reshaping business models by providing immersive digital marketing channels and virtual product testing grounds, especially appealing to Gen Z. Companies are generating new revenue streams through metaverse initiatives like Nike's Nikeland featuring virtual goods sold as NFTs. The blockchain's trustless verification can prevent opportunistic behavior in interorganizational relationships by transparently enforcing agreements. Examples include using NFTs to certify product data impacting resale value and incentivizing authorized after-sales service channels.
This chapter takes a deep dive into the roles of Web3 and the metaverse in improving marketing and sales activities. It focuses on the roles of major technologies such as blockchain, cryptocurrencies, NFTs, AR, VR, AI, and brain-computer interface (BCI) in facilitating marketing and sales in the metaverse. The chapter discusses various mechanisms by which Web3 and the metaverse facilitate in-store and e-commerce sales. For instance, instead of a static product website, the metaverse offers 3D modeled showrooms in which shoppers can walk through like in real life. It provides a comprehensive introduction to the various roles of AR and VR in facilitating marketing and sales. It gives special consideration to NFTs’ roles in marketing. On the product strategy front, we provide details of how NFTs and the metaverse can help create and offer a one-of-a-kind and exclusive product and a new product for niche markets.
This chapter identifies and evaluates a broad range of ethical and moral issues that can be anticipated in the development of Web3 and the metaverse. It delves into concerns that have been raised regarding the exploitation of young game developers and game players by metaverse platforms and other powerful actors. It also contends that Web3 is potentially more harmful than other forms of data colonialism due to blockchain's decentralization, which leads to a lack of accountability for any wrongdoing when issues arise. The chapter also provides a perspective on ethical issues of P2E games in which NFT owners take a large share of earnings of players who rent NFTs. It also explores carbon footprints and environmental impacts of Web3 and the metaverse. Finally, the chapter also highlights a range of pollution-reduction strategies that have been proposed for Web3 and the metaverse.
This chapter describes how a number of right technologies are coming together at the right time to enable the development of Web3 and the metaverse. It will give an overview of the roles of major emerging technologies such as 5G and 6G cellular networks, artificial intelligence (AI) (including generative AI), blockchain, the Internet of things (IoT), and extended reality (XR) devices, which include augmented reality (AR), virtual reality (VR), mixed reality (MR), and digital twin in building the metaverse and Web3. The chapter evaluates how these technologies have facilitated the uptake, scale-up, and deployment of Web3 and the metaverse. As a key technology behind Web3 and the metaverse, it promotes an understanding of the roles of blockchain in keeping distributed ledgers of all transactions and creating shared and immutable records, which help ensure transparency and security and create “rustless” digital relationships and transactions.
In this final chapter, we integrate the ideas discussed in earlier chapters regarding how Web3 and the metaverse are evolving and impacts they are having on economies, societies,and organizations. We consider the future of Web3 and the metaverse and provide perspective on how more applications are likely to be launched as blockchain matures and increasing numbers of individuals and organizations are likely to take advantage of these innovations. The chapter also discusses how advances in other technological innovations such as AI, AR, and VR are likely to affect the potentials of Web3 and the metaverse. It describes and details the potentials as well as the constraints that limit the development of Web3. The chapter also addresses the importance of organizational, interorganizational, and cultural changes resulting from Web3 and the metaverse. Implications for policymakers, businesses, consumers, and scholarly research are discussed.