Industry 4.0 and Artificial Intelligence (AI)

Helmold, Marc; Terry, Brian

doi:10.1007/978-3-030-68696-3_5

Cited by 4 publications

(1 citation statement)

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“…The increased demand of integrating information and communication technologies (ICT) within manufacturing industry has paved the way for the fourth industrial revolution, commonly known as Industry 4.0 (I4.0) [1,2]. I4.0 denotes a recent automation and data exchange trend through novel technologies [3,4]. I4.0 is progressively transforming the manufacturing industry.…”

Section: Introductionmentioning

confidence: 99%

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

et al. 2021

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The ongoing Industry 4.0 transformation places significant pressures on how businesses create and capture value. Technological advancements such as next-generation mobile communications are reshaping the business ecosystem of Industry 4.0, resulting in emerging business opportunities for new players, such as local operators, to collaborate and compete with mobile communications companies that are implementing I4.0. These changes raise the need to explore emerging business opportunities concerning the digitalization of future factories. New data and connectivity services are introduced to serve the needs of rapidly increasing machine-type communications that rely on connectivity, primarily through the fifth generation (5G) mobile solutions provided by local operators. Thus, this paper outlines the potential value configurations for data and connectivity solutions by identifying, matching, and bridging the utilizable resources and addressable needs within the factory processes. The research applies an exploratory approach and uses the Gioia method to analyze qualitative data of a single case. The study follows the connectivity-content-context-commerce typology (4C) of Internet business models to structure, analyze, and classify the identified needs and resources in future factories from the perspective of the local operator. The findings show that the content layer of 4C business model typology is the most dominant among data and connectivity-based needs and resources of future factories. The paper contributes by presenting four alternative value configurations for digitalization for local operators in the future factory context: the product, component, platform, and complementary businesses. The results suggest content- and context-specific businesses carries foremost business potential for local operators, however quantitative validation will bring fruitful research avenues. Multiple case studies and different data collection methods may also be considered in future studies.

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Section: Introductionmentioning

confidence: 99%

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

et al. 2021

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The Impact of Major Technologies in Fourth Industrial Revolution

Shorman

2022

Future of Organizations and Work After the 4th Industrial Revolution

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Towards AI-driven transformation and smart data management: Emerging technological change in the public sector value chain

Valle-Cruz

García-Contreras

2023

Public Policy and Administration

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Governments worldwide are beginning to implement AI-based services to exploit data and seek solutions that provide value to citizens and assist in decision-making. AI-driven transformation and smart data management can replace the workforce or enhance it. This paper focuses on exploring AI-driven transformation and smart data management in the public sector value chain. Guided by two research questions, a systematic literature review was conducted using the PRISMA approach, complemented with empirical evidence on the emerging technological change applied to management levels and decision-makers in the public sector. The needs related to AI-driven transformation and smart data management for the public sector are characterized by an operational transformation, which includes human resources and know-how as the spearhead. Challenges have to do with the generation of efficient and transparent services that provide public value and promote the benefit of society. Some implications are related to governments deciding to plan digitalization that allows them to take advantage of the emerging technological change to improve activities along the value chain.

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Industry 4.0 and Artificial Intelligence (AI)

Cited by 4 publications

References 1 publication

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

Value Configurations for Data and Connectivity Solutions in Digitalized Future Factories

The Impact of Major Technologies in Fourth Industrial Revolution

Towards AI-driven transformation and smart data management: Emerging technological change in the public sector value chain

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