Supply chain disruptions and resilience: A major review and future research agenda
Our study examines the literature that has been published in important journals on supply
chain disruptions, a topic that has emerged the last 20 years, with an emphasis in the latest …
chain disruptions, a topic that has emerged the last 20 years, with an emphasis in the latest …
[HTML][HTML] Applications of big data in emerging management disciplines: A literature review using text mining
AK Kushwaha, AK Kar, YK Dwivedi - International Journal of Information …, 2021 - Elsevier
The importance of data-driven decisions and support is increasing day by day in every
management area. The constant access to volume, variety, and veracity of data has made …
management area. The constant access to volume, variety, and veracity of data has made …
Big data analytics adoption: Determinants and performances among small to medium-sized enterprises
Big data analytics (BDA) adoption is a game-changer in the current industrial environment
for precision decision-making and optimal performance. Nonetheless, the determinants or …
for precision decision-making and optimal performance. Nonetheless, the determinants or …
Big data analytics in healthcare: a systematic literature review
The current study performs a systematic literature review (SLR) to synthesise prior research
on the applicability of big data analytics (BDA) in healthcare. The SLR examines the …
on the applicability of big data analytics (BDA) in healthcare. The SLR examines the …
Creating business value with process mining
Abstract Information systems research has a long-standing interest in how organizations
gain value through information technology. In this article, we investigate a business process …
gain value through information technology. In this article, we investigate a business process …
Applications of big data analytics to control COVID-19 pandemic
The COVID-19 epidemic has caused a large number of human losses and havoc in the
economic, social, societal, and health systems around the world. Controlling such epidemic …
economic, social, societal, and health systems around the world. Controlling such epidemic …
Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review
The literature on healthcare operations and supply chain management has seen
unprecedented growth over the past two decades. This paper seeks to advance the body of …
unprecedented growth over the past two decades. This paper seeks to advance the body of …
Implementation patterns of high performance machine learning algorithms using Apache Mahout
B Prashanth, DB Krishna, A Balasundaram… - AIP Conference …, 2022 - pubs.aip.org
Machine learning applies, based upon the data input, to the intelligent and complex
response of software or embedded hardware. Machine learning is a specialised area that …
response of software or embedded hardware. Machine learning is a specialised area that …
Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges
In recent years, data analytics in pharmaceutical supply chains has aroused much interest
as it has the potential of enabling better supply and management of healthcare products by …
as it has the potential of enabling better supply and management of healthcare products by …
Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals
The advanced technologies emerging in Industry 4.0 are forcing companies in different
industries to review their business models and become more compatible with advanced …
industries to review their business models and become more compatible with advanced …