Understanding blockchain applications in Industry 4.0: From information technology to manufacturing and operations management

Nuttah, Muntaser Mohamed; Roma, Paolo; Nigro, Giovanna Lo; Perrone, Giovanni

doi:10.1016/j.jii.2023.100456

Cited by 23 publications

(7 citation statements)

References 173 publications

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“…There is ongoing debate regarding the significance of comprehending the essential resources required to facilitate the performance of government organizations through the implementation of AI technologies. The intent is to enhance the perceived value of public services (Guenduez and Mettler, 2023; Robles and Mallinson, 2023), expedite decision-making processes (Gaozhao et al , 2023; Nuttah et al , 2023) and optimize resource allocation (Mikalef et al , 2023; Valle-Cruz and García-Contreras, 2023). This study makes a substantial contribution to the existing body of literature on the value of AI for government organizations.…”

Section: Discussionmentioning

confidence: 99%

“…These benefits are achieved through expedited decision-making processes (e.g. Gaozhao et al , 2023; Nuttah et al , 2023) and improved allocation of resources (e.g. Mikalef et al , 2023; Valle-Cruz and García-Contreras, 2023) within government organizations.…”

Section: Discussionmentioning

confidence: 99%

“…Literature suggests that the use of AIC is anticipated to have a significant impact on various government domains driven by Industry 4.0 (4IR), blockchain technology, sustainability and the circular economy. These advancements are expected to play crucial roles in the decision-making processes of organizations, ultimately affecting their overall performance (Agrawal et al , 2022; Mukhuty et al , 2022; Neumann et al , 2022; Nuttah et al , 2023; Sahoo et al , 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

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Artificial intelligence capabilities, dynamic capabilities and organizational creativity: contributing factors to the United Arab Emirates Government’s organizational performance

Almheiri,

Ahmad,

Abu Bakar

et al. 2024

JM2

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Purpose This study aims to assess the effectiveness of a scale measuring artificial intelligence capabilities by using the resource-based theory. It seeks to examine the impact of these capabilities on the organizational-level resources of dynamic capabilities and organizational creativity, ultimately influencing the overall performance of government organizations. Design/methodology/approach The calibration of artificial intelligence capabilities scale was conducted using a combination of qualitative and quantitative analysis tools. A set of 26 initial items was formed in the qualitative study. In the quantitative study, self-reported data obtained from 344 public managers was used for the purposes of refining and validating the scale. Hypothesis testing is carried out to examine the relationship between theoretical constructs for the purpose of nomological testing. Findings Results provide empirical evidence that the presence of artificial intelligence capabilities positively and significantly impacts dynamic capabilities, organizational creativity and performance. Dynamic capabilities also found to partially mediate artificial intelligence capabilities relationship with organizational creativity and performance, and organizational creativity partially mediates dynamic capabilities – organizational creativity link. Practical implications The application of artificial intelligence holds promise for improving decision-making and problem-solving processes, thereby increasing the perceived value of public service. This can be achieved through the implementation of regulatory frameworks that serve as a blueprint for enhancing value and performance. Originality/value There are a limited number of studies on artificial intelligence capabilities conducted in the government sector, and these studies often present conflicting and inconclusive findings. Moreover, these studies indicate literature has not adequately explored the significance of organizational-level complementarity resources in facilitating the development of unique capabilities within government organizations. This paper presents a framework that can be used by government organizations to assess their artificial intelligence capabilities-organizational performance relation, drawing on the resource-based theory.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Artificial intelligence capabilities, dynamic capabilities and organizational creativity: contributing factors to the United Arab Emirates Government’s organizational performance

Almheiri,

Ahmad,

Abu Bakar

et al. 2024

JM2

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“…Of them, 10 were documents with a single author and 11, or 43.07 percent of all co-authorships, were documents with international authors. Many of the document types examined were articles(117) and reviews (20).…”

Section: Descriptive and Scientometric Analysis Of Recordsmentioning

confidence: 99%

“…However, there is a considerable study deficit concerning the consequences of blockchain technology in the manufacturing sector [18]. While prior research has investigated the implications of blockchain technology in fields such as digital currency and healthcare [19], [20], there still needs to be a need to look into the possible uses of blockchain in manufacturing. Recent research has shown that blockchain has the potential to improve transparency, security, and efficiency in industrial supply chains [21], [22].…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing Manufacturing with Blockchain Technology: Opportunities and Challenges

Samar Raza Talpur,

Huma Sikandar,

Alhamzah F. Abbas

et al. 2023

Int. J. Onl. Eng.

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A decentralised, tamper-proof ledger offered by blockchain technology has the potential to revolutionise the manufacturing sector by enhancing digital rights management, supply chain management, and product monitoring and tracking. Industrial supply chains may be made more transparent, secure, and efficient with the use of blockchain technology. This will save costs, boost quality control, and raise consumer confidence that the goods they buy are genuine and high calibre. However, there is a research gap in the implications of blockchain technology in the manufacturing sector. The aim of this research was to investigate the challenges and opportunities of blockchain technologies in the manufacturing sector. In order to accomplish the study’s goal, a two-stage systematic literature review technique was used, with the PRISMA framework being used to gather pertinent data from reliable sources like Scopus. The study contained 117 research papers, which were analysed using descriptive and scientometric methods and lysis to synthesise the literature and investigate important research clusters using the centrality and co-occurrence of keywords. The study’s conclusions point to the potential of blockchain technology to support decentralised manufacturing systems that provide risk-free and trustworthy cooperation among multiple stakeholders. The report also discusses the advantages and drawbacks of using blockchain in manufacturing and offers information on recent developments in the field of digital manufacturing that are related to blockchain technology. This study emphasises the value of blockchain technology for the industrial sector and the need for more research to fully understand its potential. Blockchain technology may help the manufacturing industry become more effective, transparent, and quality assured while also reducing costs and fostering better confidence among supply chain actors.

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Industry 4.0

Girish,

Kumar,

Bhowmik

2024

Topics in Artificial Intelligence Applied to Industry 4.0

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Understanding blockchain applications in Industry 4.0: From information technology to manufacturing and operations management

Cited by 23 publications

References 173 publications

Artificial intelligence capabilities, dynamic capabilities and organizational creativity: contributing factors to the United Arab Emirates Government’s organizational performance

Artificial intelligence capabilities, dynamic capabilities and organizational creativity: contributing factors to the United Arab Emirates Government’s organizational performance

Revolutionizing Manufacturing with Blockchain Technology: Opportunities and Challenges

Industry 4.0

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