Article
Business
Kasuni Weerasinghe, Shane L. Scahill, David J. Pauleen, Nazim Taskin
Summary: The ongoing discussion about the introduction and use of 'big data and analytics' in the global health sector is driven by the efforts of developed countries to improve healthcare value through data and technology. However, while there is recognition of the potential value of big data and analytics in clinical decision-making, the adoption of such technologies in clinical care remains relatively unexplored in New Zealand. Concerns over data quality and the need for engagement and participation at all levels to discuss data quality and implement big-data-based changes are highlighted in the findings, along with recommendations for policy and practice.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Review
Computer Science, Interdisciplinary Applications
Fangyu Li, Yuanjun Laili, Xuqiang Chen, Yihuai Lou, Chen Wang, Hongyan Yang, Xuejin Gao, Honggui Han
Summary: The construction industry is undergoing an intelligent revolution enabled by technologies like IoT, cloud computing, and robotics. Utilizing diverse big data from multiple sources can enhance efficiency, reduce waste and expenses, improve planning and decision-making processes, lower errors, and enhance safety at construction sites. This article provides a comprehensive review of the advantages and current state of big data in the construction industry, addressing unresolved difficulties and offering thoughts on its potential future.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Business
Hyoung-Yong Choi, Junyoung Park
Summary: This study empirically investigates the impact of using big data analytics (BDA) in corporate social responsibility (CSR) activities on CSR performance. The study finds that the positive interaction effect between BDA-enabled CSR and big data analytics capability (BDAC) is pronounced in the categories of environmental impact, employee relations, product safety, and corporate governance. The study contributes to the literature on BDA and CSR by demonstrating how BDA-enabled CSR and BDAC influence CSR performance.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Mathematics
Xiangli Chang, Hailang Cui
Summary: With the increasing popularity of Internet-based services and cloud platforms, there is a need for a more powerful backend storage system. Research focuses on designing different distributed storage solutions to meet various scenarios. This study addresses the application requirements of cross-modal analysis of economic big data, proposing a unified coding method and multi-level partition algorithm, verified through a prototype system.
JOURNAL OF MATHEMATICS
(2021)
Article
Business
Maria Assunta Barchiesi, Andrea Fronzetti Colladon
Summary: The study proposed a new methodological approach combining text mining, social network, and big data analytics to assess stakeholders' attitudes towards company core values in Italy. The research identified three predominant core values orientations and three latent ones in the Italian scenario. The contribution of this study lies in extending research on text mining and online big data analytics applied in complex business contexts.
JOURNAL OF BUSINESS RESEARCH
(2021)
Review
Computer Science, Artificial Intelligence
Giles C. Oatley
Summary: The impact of new AI-related technologies in data mining and big data on crime analytics includes challenges in predictive policing, legal and adversarial decision-making using big data, bias in profiling and predicting criminality, forecasting crime risk and rates, and regulating AI systems.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2022)
Article
Economics
Nicole Adler, Amir Brudner, Riccardo Gallotti, Filippo Privitera, Jose J. Ramasco
Summary: This study develops algorithms to analyze ICT data and estimate individuals' mobility at different spatial scales, as well as drivers of airport demand. Using evidence of consumer behavior and producers' financial data, a catchment area game is developed to analyze the potential impact of collaboration between airports and airlines. The results suggest that airline-airport vertical collusion is beneficial, while airport-airport horizontal collusion is less likely.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Computer Science, Artificial Intelligence
Antonio Benitez-Hidalgo, Cristobal Barba-Gonzalez, Jose Garcia-Nieto, Pedro Gutierrez-Moncayo, Manuel Paneque, Antonio J. Nebro, Maria del Mar Roldan-Garcia, Jose F. Aldana-Montes, Ismael Navas-Delgado
Summary: Modern applications of Big Data are evolving to provide advanced features that can exploit and understand underlying knowledge, with tools like TITAN managing science workflows through semantics-driven design and operation modes. TITAN, built upon an ontological framework, utilizes Big Data technologies like Apache Kafka, Avro, and Spark for inter-component communication, data serialization, and analytics, respectively. Validation through use cases in academic and real-world fields demonstrates the platform's capability in workflow composition and semantic metadata management.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Chemistry, Analytical
Eduardo A. Hinojosa-Palafox, Oscar M. Rodriguez-Elias, Jose A. Hoyo-Montano, Jesus H. Pacheco-Ramirez, Jose M. Nieto-Jalil
Summary: The paper aims to support the design of analytics Big Data solutions for industrial cyber-physical systems (iCPS), considering new Big Data modeling analytics techniques and proposing an architecture that integrates from IIoT environment, communications, and the cloud. The architectural design presented considers data as an invaluable asset in iCPS, and a fault diagnosis case study illustrates the application of the reference architecture for Big Data analytics in iCPS.
Article
Psychology, Multidisciplinary
Muhammad Usman Tariq, Muhammad Babar, Marc Poulin, Akmal Saeed Khattak, Mohammad Dahman Alshehri, Sarah Kaleem
Summary: The article discusses the evolution of intelligent big data analysis in the age of big data and artificial intelligence, focusing on the challenges of analyzing human behavior through social media data. It proposes an architecture to efficiently process massive social media datasets and demonstrates its effectiveness using data from Dailymotion.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Computer Science, Information Systems
Xin Wang, Pei Guo, Xingyan Li, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman, Jianwu Wang
Summary: This article introduces the use of serverless computing and containerization techniques to address the challenges of reproducing batch based Big Data analytics in the cloud. It also presents the development of an open-source toolkit for automated execution and reproducibility. Experiments on AWS and Azure demonstrate that the toolkit achieves good performance, scalability, and efficient reproducibility for cloud-based Big Data analytics.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Computer Science, Information Systems
Stuart J. Barnes, Yue Guo, Jason Chan
Summary: The nine papers in this special issue investigate the role of information systems and big data analytics in enabling a sustainable future. They cover various aspects such as health, online behavior and consumption, safety and the environment, and methods to improve understanding of sustainability issues.
INFORMATION & MANAGEMENT
(2022)
Article
Business
Awad Elsayed Awad Ibrahim, Ahmed A. Elamer, Amr Nazieh Ezat
Summary: This study explores the potential convergence points between big data and accounting and presents exciting research questions for future studies. By reviewing literature and proposing new ideas, the research develops new points of convergence between big data and accounting. The conclusion indicates that big data has the potential to overcome data limitations in accounting techniques and shows significant convergence with three accounting theories.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Computer Science, Information Systems
Danda B. Rawat, Ronald Doku, Moses Garuba
Summary: Knowledge is derived from having access to information, which has become a crucial issue in today's information age. The use of big data in cybersecurity to protect assets, as well as its high value as a target, highlights the importance of understanding the inner workings of systems producing data in the current technological landscape.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Information Systems
Yuan Tang, Zhi Quan
Summary: The article highlights the importance of classroom English teaching quality and highlights the advantages of big data technology in English teaching. By utilizing big data technology in the MOOC online learning platform, teachers can improve their teaching level and gain insights into students' learning effects and behaviors.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Public, Environmental & Occupational Health
Ruth Deck, Alexander Waschkau, Katja Goetz, Simon Schwill, Elisabeth Flum, Jost Steinhaeuser