Big Data and Big Challenge for Knowledge Management

Anshari, Muhammad; Nurmaini, Siti; Lim, Syamimi Ariff; Caesarendra, Wahyu

doi:10.1109/icecos47637.2019.8984508

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…The literature on blockchain technology provides a comprehensive understanding of the technology, its potential benefits, and its drawbacks. By reviewing the existing literature, we can gain insights into the key challenges and opportunities of using blockchain technology in various applications (Anshari et al, 2019;Bodkhe et al, 2020).…”

Section: Techniques and Approachesmentioning

confidence: 99%

Utilizing Blockchain Technology in Various Applications to Secure Data Flows. A Comprehensive Analysis

Halkiopoulos¹,

Antonopoulou²,

Kostopoulos³

2023

Technium

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Blockchain technology has emerged as a disruptive force in the world of digital transactions, with applications across a wide range of industries. This paper provides a comprehensive review of the potential applications of blockchain technology, including finance, healthcare, supply chain management, and voting. The paper discusses the benefits and challenges of using blockchain technology, as well as real-world case studies of its implementation. The paper concludes with suggestions for future research, exploring new applications and addressing the challenges associated with the use of blockchain technology.

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Section: Techniques and Approachesmentioning

confidence: 99%

Utilizing Blockchain Technology in Various Applications to Secure Data Flows. A Comprehensive Analysis

Halkiopoulos¹,

Antonopoulou²,

Kostopoulos³

2023

Technium

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Is Big Data a Disruptive Innovation to RCEP?

Amsal

2024

Regional Comprehensive Economic Partnership

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Big data does not only revolve around how much storage is needed for data, but rather its capability of assisting in many areas, such as economics, healthcare, educational institutions and others. Big data has a lot of potential to increase international trade. As the most significant free-trade agreement, the Regional Comprehensive Economic Partnership (RCEP) can utilise big data and related technologies to create fair and mutually beneficial trade. With the main characteristics of volume, variety, and velocity, big data provides strategic advantages for businesses that use it. The data can be processed using descriptive, diagnostics, predictive and prescriptive analytics. However, not all RCEP members have the same level of data processing capability. Therefore, this study examines how RCEP members utilise big data by extracting data from secondary sources. The results showed that each of the RCEP members’ IT development also varies, and so does the use of big data. Therefore, decision-makers need to resolve issues related to data utilisation, especially in terms of digital literacy, security, and privacy.

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Optimisation of Knowledge Management (KM) with Machine Learning (ML) Enabled

et al. 2023

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The emergence of artificial intelligence (AI) and its derivative technologies, such as like machine learning (ML) and deep learning (DL), heralds a new era of knowledge management (KM) presentation and discovery. KM necessitates ML for improved organisational experiences, particularly in making knowledge management more discoverable and shareable. Machine learning (ML) is a type of artificial intelligence (AI) that requires new tools and techniques to acquire, store, and analyse data and is used to improve decision-making and to make more accurate predictions of future outcomes. ML demands big data be used to develop a method of data analysis that automates the construction of analytical models for the purpose of improving the organisational knowledge. Knowledge, as an organisation’s most valuable asset, must be managed in automation to support decision-making, which can only be accomplished by activating ML in knowledge management systems (KMS). The main objective of this study is to investigate the extent to which machine learning applications are used in knowledge management applications. This is very important because ML with AI capabilities will become the future of managing knowledge for business survival. This research used a literature review and theme analysis of recent studies to acquire its data. The results of this research provide an overview of the relationship between big data, machine learning, and knowledge management. This research also shows that only 10% of the research that has been published is about machine learning and knowledge management in business and management applications. Therefore, this study gives an overview of the knowledge gap in investigating how ML can be used in KM for business applications in organisations.

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Big Data and Big Challenge for Knowledge Management

Cited by 3 publications

References 9 publications

Utilizing Blockchain Technology in Various Applications to Secure Data Flows. A Comprehensive Analysis

Utilizing Blockchain Technology in Various Applications to Secure Data Flows. A Comprehensive Analysis

Is Big Data a Disruptive Innovation to RCEP?

Optimisation of Knowledge Management (KM) with Machine Learning (ML) Enabled

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