Evolving information systems and technology research issues for COVID-19 and other pandemics

DE O'Leary - Journal of Organizational Computing and Electronic …, 2020 - Taylor & Francis
This paper examines some of the issues for research needs from information systems and
information technology researchers, elicited as part of the COVID-19 pandemic. We …

Using social media to predict the future: a systematic literature review

L Phillips, C Dowling, K Shaffer, N Hodas… - arXiv preprint arXiv …, 2017 - arxiv.org
Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings,
and actions at a resolution previously unimaginable. Because user behavior on SM is a …

Enhancing the government accounting information systems using social media information: An application of text mining and machine learning

HK Duan, MA Vasarhelyi, M Codesso… - International Journal of …, 2023 - Elsevier
This study demonstrates a way of bringing an innovative data source, social media
information, to the government accounting information systems to support accountability to …

Towards knowledge graph reasoning for supply chain risk management using graph neural networks

EE Kosasih, F Margaroli, S Gelli, A Aziz… - … Journal of Production …, 2024 - Taylor & Francis
Modern supply chains are complex, interconnected systems that contain emergent, invisible
dependencies. Lack of visibility often hinders effective risk planning and results in delayed …

Event classification and location prediction from tweets during disasters

JP Singh, YK Dwivedi, NP Rana, A Kumar… - Annals of Operations …, 2019 - Springer
Social media is a platform to express one's view in real time. This real time nature of social
media makes it an attractive tool for disaster management, as both victims and officials can …

The effect of social influence, trust, and entertainment value on social media use: Evidence from Pakistan

MH Abbas Naqvi, Y Jiang, M Miao… - Cogent Business & …, 2020 - Taylor & Francis
The rise of social networking sites (SNS) has changed our ways of communicating and
conducting business all over the world. The present study explored the factors affecting the …

Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks

A Brintrup, E Kosasih, P Schaffer, G Zheng… - … Journal of Production …, 2024 - Taylor & Francis
Digital Supply Chain Surveillance (DSCS) is the proactive monitoring and analysis of digital
data that allows firms to extract information related to a supply network, without the explicit …

Text analysis of evolving emotions and sentiments in COVID-19 Twitter communication

VC Storey, DE O'Leary - Cognitive Computation, 2024 - Springer
Scientists and regular citizens alike search for ways to manage the widespread effects of the
COVID-19 pandemic. While scientists are busy in their labs, other citizens often turn to …

Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission

AWZ Chew, Y Pan, Y Wang, L Zhang - Knowledge-Based Systems, 2021 - Elsevier
In this study, a hybrid deep-learning model termed as ODANN, built upon neural networks
(NN) coupled with data assimilation and natural language processing (NLP) features …

Open information enterprise transactions: Business intelligence and wash and spoof transactions in blockchain and social commerce

DE O'Leary - Intelligent Systems in Accounting, Finance and …, 2018 - Wiley Online Library
This paper investigates what are referred to as 'open information transactions'. Such
transactions are in contrast to traditional transactions, where typically two parties to a …