A survey on blockchain for big data: Approaches, opportunities, and future directions

N Deepa, QV Pham, DC Nguyen… - Future Generation …, 2022 - Elsevier
Big data has generated strong interest in various scientific and engineering domains over
the last few years. Despite many advantages and applications, there are many challenges in …

Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis

S Kaffash, AT Nguyen, J Zhu - International journal of production economics, 2021 - Elsevier
The volume and availability of data in the Intelligent Transportation System (ITS) result in the
need for data-driven approaches. Big Data algorithms are applied to further enhance the …

[HTML][HTML] Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design

BK Sovacool, J Axsen, S Sorrell - Energy research & social science, 2018 - Elsevier
A series of weaknesses in creativity, research design, and quality of writing continue to
handicap energy social science. Many studies ask uninteresting research questions, make …

Recent advances on industrial data-driven energy savings: Digital twins and infrastructures

SY Teng, M Touš, WD Leong, BS How, HL Lam… - … and Sustainable Energy …, 2021 - Elsevier
Data-driven models for industrial energy savings heavily rely on sensor data,
experimentation data and knowledge-based data. This work reveals that too much research …

The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability

SE Bibri - Sustainable cities and society, 2018 - Elsevier
Abstract The Internet of Things (IoT) is one of the key components of the ICT infrastructure of
smart sustainable cities as an emerging urban development approach due to its great …

[HTML][HTML] The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations

P Brous, M Janssen, P Herder - International Journal of Information …, 2020 - Elsevier
Abstract The Internet of Things (IoT) might yield many benefits for organizations, but like
other technology adoptions may also introduce unforeseen risks and requiring substantial …

Big data analytics in supply chain management between 2010 and 2016: Insights to industries

S Tiwari, HM Wee, Y Daryanto - Computers & Industrial Engineering, 2018 - Elsevier
This paper investigates big data analytics research and application in supply chain
management between 2010 and 2016 and provides insights to industries. In recent years …

Toward the development of a big data analytics capability

M Gupta, JF George - Information & Management, 2016 - Elsevier
The era of big data has begun such that organizations in all industries have been heavily
investing in big data initiatives. We know from prior studies that investments alone do not …

Big Data and cloud computing: innovation opportunities and challenges

C Yang, Q Huang, Z Li, K Liu, F Hu - International Journal of Digital …, 2017 - Taylor & Francis
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

[HTML][HTML] A Delphi study to build consensus on the definition and use of big data in obesity research

C Vogel, S Zwolinsky, C Griffiths, M Hobbs… - International Journal of …, 2019 - nature.com
Background 'Big data'has great potential to help address the global health challenge of
obesity. However, lack of clarity with regard to the definition of big data and frameworks for …