Industry 4.0: Horizontal Integration and Intellectual Property Law Strategies In England

Soares, Marcelo Negri; Kauffman, Marcos

doi:10.12662/2447-6641oj.v16i23.p268-289.2018

Cited by 9 publications

(16 citation statements)

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“…(2) The above described datafication and the digitalization in general demand new IT-approaches for highly integrated networks, e.g. [12], [33]. Such highly integrated networks together with cyber physical system and smart, in real time connected products, increase the IT penetration in SC.…”

Section: Characteristics Of the Digital Supply Chainmentioning

confidence: 99%

“…This leads to the challenge that it is difficult to assign ownerships of the data and that classical IP law cannot be applied, e.g. [33], [56]. The unclear ownership of rights to aggregated know-how, and technical data, due to employee turnover, can lead to risks as well [33].…”

Section: Legal Viewmentioning

confidence: 99%

“…[33], [56]. The unclear ownership of rights to aggregated know-how, and technical data, due to employee turnover, can lead to risks as well [33]. This could not only affect employee turnover but also changing partners and limited transparency within the digital SC.…”

Section: Legal Viewmentioning

confidence: 99%

“…This is particularly the case, as it is difficult to trace who is making use of shared data in which way and is tied to the limited transparency between SC partners. One resulting question is, if manufacturers of smart objects do have access to the generated data and how contracts are adapted to modern requirements [33].…”

Section: Legal Viewmentioning

confidence: 99%

“…As already mentioned, formal legal protection measures for process knowledge are limited and machine-generated data therefore presents a risk. How legal measures can be enforced towards this challenge remains to be clarified [33].…”

Section: Legal Viewmentioning

confidence: 99%

See 4 more Smart Citations

Knowledge Risks in Digital Supply Chains: A Literature Review

Zeiringer¹,

Thalmann²

2020

WI2020 Zentrale Tracks

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The digital transformation changes the way how organizations exchange data in supply chains. Data traditionally shared, is enriched by detailed data sets captured by sensors in the production itself. In addition to the promised benefits, also new risks arise. Advanced data analytic approaches make it possible to extract knowledge from such data sets and thus increase the risk that competitive knowledge unintentionally spills over. From a knowledge management perspective, little attention is paid to such knowledge risks arising from data-centric collaborations. Hence, this paper has the goal to investigate knowledge risks in data-centric collaborations by conducting a structured literature review. Thereby, we focus on digital supply chains, as data-centric collaborations play a central role within them. Based on our review, we identify four characteristics of digital supply chains relevant for managing knowledge risks. Based on these characteristics, we present causes, risks and countermeasures from an organizational, technical and legal perspective.

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Section: Characteristics Of the Digital Supply Chainmentioning

confidence: 99%

Section: Legal Viewmentioning

confidence: 99%

Section: Legal Viewmentioning

confidence: 99%

Section: Legal Viewmentioning

confidence: 99%

Section: Legal Viewmentioning

confidence: 99%

See 3 more Smart Citations

Knowledge Risks in Digital Supply Chains: A Literature Review

Zeiringer¹,

Thalmann²

2020

WI2020 Zentrale Tracks

View full text Add to dashboard Cite

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Ethical Issues Invoked by Industry 4.0

Rahanu

Georgiadou

Siakas

et al. 2021

Communications in Computer and Information Science

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Prospects and Challenges with Legal Informatics and Legal Metrology Framework in the Context of Industry 6.0

Chourasia

Pandey

Keshri

2023

MAPAN

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Industry 6.0 is viewed as a futuristic industrial evolution. It aims to set the synergy between man and robot by providing the wealth affluence away from the trade, and customers solutions that would provide progress to the world in every field across all planetary boundaries. Industry 6.0 comprises numerous promising technology such as quantum computing, artificial intelligence, machine learning, cloud computing, and quantum artificial computing. These technologies have the massive capabilities to help the legal industry, metrology industry and many other organizations attain their goals by delivering excellent and best-suited insights. In the future, these technologies will assist the lawmaker and jurisprudence in improving the old law justice system into the advanced one. In this article, we first introduce a glimpse of industry 6.0 from the outlook of legal information, digital transformation in metrology, and strength, limitation, opportunities, and threat analysis in brief. Then we discuss key technologies of industry 6.0, framework of legal informative, a futuristic model for a legal informatics system based on quantum-based AI, machine learning, and digital legal metrology and its challenges in adoption in regard's Industry 6.0. In subsequent sections, we discussed requirements, challenges, and progress in developed countries, preparedness of academia and industry in India. Then, we brief challenges for legal metrology in the future, opportunities for legal metrology in future legal challenges faced by lawyers and legal metrology, limitations of the study, research implication, and conclusion. Finally, the finding shows that industry 6.0 technologies have enormous capabilities to bring a revolutionary change in the legal industry but are present in the new born growth stage.

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Industry 4.0: Horizontal Integration and Intellectual Property Law Strategies In England

Cited by 9 publications

References 0 publications

Knowledge Risks in Digital Supply Chains: A Literature Review

Knowledge Risks in Digital Supply Chains: A Literature Review

Ethical Issues Invoked by Industry 4.0

Prospects and Challenges with Legal Informatics and Legal Metrology Framework in the Context of Industry 6.0

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