The Implications of Big Data Analytics Orientation upon Deployment

Hyun, Youyung; Hosoya, Ryuichi; Kamioka, Taro

doi:10.1145/3301551.3301566

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…The organization should emphasize prioritizing different competing demands at achieving a circular economy and IoT outcomes that deliver a specific, more holistic value to particular stakeholders. Given the importance of Big Data Analytics Orientation (BDAO; Hyun, Hosoya, & Kamioka, 2018), it seems worthwhile to explore how BDAOs affect the organizational business intelligence and organization performance. BDAO refers to prioritizing and identifying data management capabilities and generating insights to solve organizational problems.…”

Section: Discussionmentioning

confidence: 99%

Industry 4.0 and the circular economy: A literature review and recommendations for future research

2021

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Research regarding the Fourth Industrial Revolution (Industry 4.0) and the circular economy has gained traction since 2014. Paralleling the growth in the internet of things (IoT), the circular economy poses both risks and opportunities to various stakeholders in its development. This literature review aims to identify Industry 4.0 stakeholders' interests and expectations regarding how the IoT can be part of circular economy management. Contributions include identifying various IoT tools for dealing with circular economy challenges while also addressing implementation best practices. The transition of the circular economy within Industry 4.0 requires a better understanding of government, suppliers, international organizational interests, and expectations regarding the IoT. This study enables future research on circular economy practices and their potential sustainability benefits for manufacturing firms. This study's findings allow practitioners and researchers to understand the literature and critical elements of the transition toward a more circular economy.

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Section: Discussionmentioning

confidence: 99%

Industry 4.0 and the circular economy: A literature review and recommendations for future research

2021

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“…Positive shifts in corporate culture is key to overcoming the situation of data silos and thereby realising the full of potential of big data sharing. [10] However, it is not just individual companies that can harness this potential, entire industry sectors, given the advancements in network technology, can enhance the new perspective of data sharing at enterprise level. [11] Further, the connectivity afforded by computer networks can break the barriers of knowledge flow inside and outside enterprises.…”

Section: Related Workmentioning

confidence: 99%

Data Ingestion Pipeline and Data Marts to Empower UK Researchers, Academics, and Business and Economic Decision Makers

Healy

Ravi

et al. 2022

Lecture Notes in Networks and Systems

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The data integration problem from the voluminous data generated from different sources in disparate formats coupled with a large number of diverse requirements related to the data have made the need for a reconciliation of them into a unique model, the identification of relationships, and the enabling of data analytics processes extremely vital. In light of the unabated growth of data volume and the need for data sharing across various stakeholders there is a requirement for the design and implementation of a data ingestion pipeline with a set of data marts. In this paper, we present a data ingestion pipeline which empowers hitherto impeded data users to easily access shared big data sources. We aim to improve the effectiveness and efficiency of open 993source data sharing capability so that researchers, academics, policy makers, businesses and government departments can all benefit from the use of these sophisticated data management techniques. In this work, we propose a novel data ingestion pipeline and data marts approach to utilise data generated from big data systems and effectively integrate them to a unified form, ready for use. Currently, the data ingestion pipeline focuses on UK data, as our primary aim is to support the City of London and the various communities within it. An additional benefit is the potential for developing collaboration across disciplines to tackle the economic and social challenges faced by cities in innovative ways.

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Energy Efficiency and Industrial Management in the Context of the Circular Economy

Galvão,

Neves,

Cardoso

et al. 2024

Springer Proceedings in Earth and Environmental Sciences

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The Implications of Big Data Analytics Orientation upon Deployment

Cited by 4 publications

References 27 publications

Industry 4.0 and the circular economy: A literature review and recommendations for future research

Industry 4.0 and the circular economy: A literature review and recommendations for future research

Data Ingestion Pipeline and Data Marts to Empower UK Researchers, Academics, and Business and Economic Decision Makers

Energy Efficiency and Industrial Management in the Context of the Circular Economy

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