The 5G Revolution: Expectations Versus Reality

Jabagi, Nura; Park, Andrew; Kietzmann, Jan

doi:10.1109/mitp.2020.2972139

Cited by 14 publications

(9 citation statements)

References 4 publications

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“…It does not have a concrete effect on already existing products. Google's current attempt at driverless cars for this innovation from the marketplace context would be an example for developing new technology ( Jabagi et al., 2020 ). Consequently, there would certainly be numerous features for people not to have to do the tasks of driving from one place to another.…”

Section: Digital Platforms For Developing Sustainable Converging Tech...mentioning

confidence: 99%

Paradigm of technological convergence and digital transformation: The challenges of CH sectors in the global COVID-19 pandemic and commencing resilience-based structure for the post-COVID-19 era

Hussain

2021

Digital Applications in Archaeology and Cultural Heritage

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Section: Digital Platforms For Developing Sustainable Converging Tech...mentioning

confidence: 99%

Paradigm of technological convergence and digital transformation: The challenges of CH sectors in the global COVID-19 pandemic and commencing resilience-based structure for the post-COVID-19 era

Hussain

2021

Digital Applications in Archaeology and Cultural Heritage

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“…5G technology as a new generation of communication has the characteristics of enhanced mobile broadband (eMBB), ultra-reliable and low latency communication (URLLC), and massive machine-type communications (mMTC) [ 1 ]. However, its emergence was rapid, which caused its application scenarios to not be fully understood [ 2 ]. Therefore, extant research on 5G mainly focuses on its technological aspects, such as the deployment of the 5G network and there is little research on its social and business values [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…However, its emergence was rapid, which caused its application scenarios to not be fully understood [ 2 ]. Therefore, extant research on 5G mainly focuses on its technological aspects, such as the deployment of the 5G network and there is little research on its social and business values [ 2 ]. We retrieved the Basket of Eight journals and other important journals in the IS field such as I & M, DSS, and so on, and found that there was little literature whose research target or question was 5G and its influence.…”

Section: Introductionmentioning

confidence: 99%

How the 5G Enabled the COVID-19 Pandemic Prevention and Control: Materiality, Affordance, and (De-)Spatialization

Zhang

2022

IJERPH

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5G, the most disruptive innovation, had played a significant role in the COVID-19 pandemic prevention and control. However, as a novel technology and context, we have little knowledge about how 5G enabled pandemic prevention and control. This study collected 212 cases and conducted qualitative research to explore how the 5G worked in prevention and control. Based on the concepts of materiality and affordance, we grounded two affordances of spatialization and de-spatialization from the data. Spatialization provides non-contact ways to complete the tasks which are supposed to be completed in contact, and de-spatialization provides remote operations to complete the tasks which are supposed to be completed on-site. Spatialization and de-spatialization enabled the diagnosis and treatment of the infectors to relieve the unbalance of medical staff, cutting the infectious route to contain the viral spread, and logistic supply to support the prevention and control. Our study offers theoretical contributions to digital pandemic prevention and control, and the literature on 5G also offers practical implications.

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“…To demonstrate the validity of our proposal in a Big Data environment, we present a case study that uses 3G and 4G performance management files from two mobile network vendors as real data sets. This is because 3G and 4G are now the most commonly used mobile technologies in the world ( Jabagi, Park & Kietzmann, 2020 ). Furthermore, the mobile networks are growing at a rapid pace: according to the Global System for Mobile Communications, there were around 8 billion connections worldwide in the year 2020 and this is expected to reach 8.8 billion connections by 2025 ( GSM, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Efficient processing of complex XSD using Hive and Spark

Martinez-Mosquera

Navarrete

Luján‐Mora

2021

PeerJ Computer Science

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The eXtensible Markup Language (XML) files are widely used by the industry due to their flexibility in representing numerous kinds of data. Multiple applications such as financial records, social networks, and mobile networks use complex XML schemas with nested types, contents, and/or extension bases on existing complex elements or large real-world files. A great number of these files are generated each day and this has influenced the development of Big Data tools for their parsing and reporting, such as Apache Hive and Apache Spark. For these reasons, multiple studies have proposed new techniques and evaluated the processing of XML files with Big Data systems. However, a more usual approach in such works involves the simplest XML schemas, even though, real data sets are composed of complex schemas. Therefore, to shed light on complex XML schema processing for real-life applications with Big Data tools, we present an approach that combines three techniques. This comprises three main methods for parsing XML files: cataloging, deserialization, and positional explode. For cataloging, the elements of the XML schema are mapped into root, arrays, structures, values, and attributes. Based on these elements, the deserialization and positional explode are straightforwardly implemented. To demonstrate the validity of our proposal, we develop a case study by implementing a test environment to illustrate the methods using real data sets provided from performance management of two mobile network vendors. Our main results state the validity of the proposed method for different versions of Apache Hive and Apache Spark, obtain the query execution times for Apache Hive internal and external tables and Apache Spark data frames, and compare the query performance in Apache Hive with that of Apache Spark. Another contribution made is a case study in which a novel solution is proposed for data analysis in the performance management systems of mobile networks.

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The 5G Revolution: Expectations Versus Reality

Cited by 14 publications

References 4 publications

Paradigm of technological convergence and digital transformation: The challenges of CH sectors in the global COVID-19 pandemic and commencing resilience-based structure for the post-COVID-19 era

Paradigm of technological convergence and digital transformation: The challenges of CH sectors in the global COVID-19 pandemic and commencing resilience-based structure for the post-COVID-19 era

How the 5G Enabled the COVID-19 Pandemic Prevention and Control: Materiality, Affordance, and (De-)Spatialization

Efficient processing of complex XSD using Hive and Spark

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