Analyzing the Potential of DLT-based Applications in Smart Factories

Roeck, Dominik; Schöneseiffen, Felix; Greger, Michael; Hofmann, Erik

doi:10.1007/978-3-030-44337-5_12

Cited by 12 publications

(5 citation statements)

References 13 publications

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“…Blockchain technology was considered in the context of cash payments, such as Bitcoin and Ether. While in the past few years, numerous nonfinancial organizations have used blockchain technology, such as supply chain management and digital identifications 37,38 . In this study, we provide the importance of connecting blockchain technology with other advanced, innovative, and digital technologies, such as artificial intelligence, IoT?, cyber‐physical systems, cloud computing, and data analytics, 39 as shown in Figure 2.…”

Section: Convergence Of Artificial Intelligence Digital Technologies ...mentioning

confidence: 99%

“…While in the past few years, numerous nonfinancial organizations have used blockchain technology, such as supply chain management and digital identifications. 37,38 In this study, we provide the importance of connecting blockchain technology with other advanced, innovative, and digital technologies, such as artificial intelligence, IoT?, cyber-physical systems, cloud computing, and data analytics, 39 as shown in Figure 2. The convergence of artificial intelligence and blockchain is inevitable as both deal with value and data.…”

Section: Convergence Of Artificial Intelligence Digital Technologies ...mentioning

confidence: 99%

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A blockchain‐ and artificial intelligence‐enabled smart IoT framework for sustainable city

Ahmed

Zhang²,

Jeon

et al. 2022

Int J of Intelligent Sys

110

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Advancements in digital technologies, such as the Internet of Things (IoT), fog/edge/cloud computing, and cyber‐physical systems have revolutionized a broad spectrum of smart city applications. The significant contributions and rapid developments of advanced artificial intelligence‐based technologies and approaches, like, machine learning and deep learning, which are applied for extracting accurate information from extensive data, perform a potential role in IoT applications. Moreover, blockchain technology's fast adoption also contributes a significant role in the development of the new digital smart city ecosystem. Thus, artificial intelligence and blockchain technology convergence revolutionize smart city infrastructures to establish sustainable ecosystems for IoT applications. Nevertheless, these advancements and technological improvements also provide both opportunities and challenges for developing sustainable IoT applications. This paper aims to examine the convergence of blockchain technology and artificial intelligence, a unique driver towards technological transformation in intelligent and sustainable IoT applications. We mainly discussed the advantages of blockchain technology that might promote the advancement and development of sustainable IoT applications. On the basis of the discussion, we introduced a smart and sustainable conceptual framework that leverages cloud computing, IoT devices, and artificial intelligence to process and obtain necessary information. The system provides digital analytics and saves results in decentralized cloud repositories through blockchain technology to promote various applications. Moreover, the layer‐based architecture allows a sustainable incentive structure, which can possibly assist secure and protected smart city applications. We reviewed the enhanced solutions, summing up the key points that can be applied for generating various artificial intelligence and blockchain‐based systems. Also, we discussed the issues that still remain open and our future research goals; that can introduce new ideas and future guidelines for sustainable IoT applications.

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Section: Convergence Of Artificial Intelligence Digital Technologies ...mentioning

confidence: 99%

Section: Convergence Of Artificial Intelligence Digital Technologies ...mentioning

confidence: 99%

A blockchain‐ and artificial intelligence‐enabled smart IoT framework for sustainable city

Ahmed

Zhang²,

Jeon

et al. 2022

Int J of Intelligent Sys

110

View full text Add to dashboard Cite

show abstract

“…However, in recent years, there has been a notable expansion of non-financial use cases for blockchain technology (Treleaven et al, 2017) [12] . Industries such as supply chain management and digital identities have emerged as key areas of application (Roeck et al, 2020) [10] . The contemporary literature underscores the value of integrating blockchain technology with other innovations, particularly the Internet of Things (IoT) and Artificial Intelligence (AI).…”

Section: Review Of Literaturementioning

confidence: 99%

Technological disruption: Unravelling the impact of AI, blockchain, and IoT on entrepreneurship and industry evolution

2024

Asian J. Manage. Commerce

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This research explores the transformative impact of AI, Blockchain, and IoT on entrepreneurship and industry evolution. Entrepreneurs, facing unprecedented challenges to traditional models, are utilizing these technologies to reshape operations and revolutionize industries. The study comprehensively analyzes their multifaceted impact on ventures, business models, and industry structures. The investigation begins with a focus on AI, examining how it empowers entrepreneurs through machine learning and natural language processing. This fosters data-driven decisions, process automation, and the creation of innovative products. The study evaluates the disruptive implications of AI across industries, considering both opportunities and challenges. Blockchain, known for decentralization and transparency, is another key area. The research dissects how entrepreneurs integrate blockchain for enhanced security, transparency, and efficiency. It explores its role in reshaping financial transactions, supply chain management, and decentralized applications, showcasing how entrepreneurs leverage these features for a competitive edge. The Internet of Things is the third critical component, enabling entrepreneurs to create connected ecosystems and optimize operations. Case studies illustrate how entrepreneurs capitalize on IoTgenerated data for business growth and unique value propositions. The study also delves into the collective impact of AI, Blockchain, and IoT on traditional industries, identifying areas of disruption and new market dynamics. Through a synthesis of quantitative and qualitative data, this research contributes to a nuanced understanding of the intricate interplay between technology, entrepreneurship, and industry evolution.

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“…Therefore, this new technology reduces the costs of gathering and processing information, drafting and negotiating contracts, monitoring and enforcing agreements, and managing relationships, allowing for more market-based governance structures [66]. Automated decision making facilitated by smart contracts can reduce the impact of bounded rationality on transactions, therefore reducing uncertainty [67].…”

Section: New Sustainable Business Models In Accountancymentioning

confidence: 99%

New Ways of Working through Emerging Technologies: A Meta-Synthesis of the Adoption of Blockchain in the Accountancy Domain

Agrifoglio

Gennaro

2022

JTAER

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In an attempt to deepen how the way of working is changing due to the digital transformation, this research aims at understanding the process by which individuals adopt blockchain technology in accountancy. We conducted a meta-synthesis of the qualitative literature on the topic of blockchain technology adoption in the context of accountancy. Drawing from 10 systematically selected qualitative studies, we analyzed the process of blockchain technology adoption in accountancy, with particular reference to the impacts on accounting professionals, in terms of individual attitudes and behaviors, as well as organizations. Our findings contribute to the existing literature in at least two ways. First, our research explores the topic of blockchain adoption in the accountancy domain and stresses the relevance of the use of that emerging technology by accounting professionals and organizations, as well as the main problems that could limit its adoption and use. Second, we provide an overview of the process of blockchain technology adoption with specific reference to the questions of “why” and “how” blockchain is (or is not) adopted by accounting professionals and organizations, in an effort to shed light on a critical issue that has yet to be explored in accountancy.

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Analyzing the Potential of DLT-based Applications in Smart Factories

Cited by 12 publications

References 13 publications

A blockchain‐ and artificial intelligence‐enabled smart IoT framework for sustainable city

A blockchain‐ and artificial intelligence‐enabled smart IoT framework for sustainable city

Technological disruption: Unravelling the impact of AI, blockchain, and IoT on entrepreneurship and industry evolution

New Ways of Working through Emerging Technologies: A Meta-Synthesis of the Adoption of Blockchain in the Accountancy Domain

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