[HTML][HTML] Developing banking intelligence in emerging markets: Systematic review and agenda

R Arjun, A Kuanr, KR Suprabha - International Journal of Information …, 2021 - Elsevier
The current banking industry is heavily dependent on technological artifacts supported by
intelligent systems for performance on operational and marketing parameters. However, the …

[HTML][HTML] Incorporation of ontologies in data warehouse/business intelligence systems-a systematic literature review

AL Antunes, E Cardoso, J Barateiro - International Journal of Information …, 2022 - Elsevier
Semantic Web (SW) techniques, such as ontologies, are used in Information Systems (IS) to
cope with the growing need for sharing and reusing data and knowledge in various research …

[HTML][HTML] Sentiment analysis and classification of Indian farmers' protest using twitter data

AS Neogi, KA Garg, RK Mishra, YK Dwivedi - International Journal of …, 2021 - Elsevier
Protests are an integral part of democracy and an important source for citizens to convey
their demands and/or dissatisfaction to the government. As citizens become more aware of …

[HTML][HTML] Deep learning for manufacturing sustainability: Models, applications in Industry 4.0 and implications

A Jamwal, R Agrawal, M Sharma - International Journal of Information …, 2022 - Elsevier
Recent advancements and developments in artificial intelligence (AI) based approaches
have shifted the manufacturing practices towards the fourth industrial revolution, considered …

[HTML][HTML] Deep learning in business analytics: A clash of expectations and reality

M Schmitt - International Journal of Information Management Data …, 2023 - Elsevier
Our fast-paced digital economy shaped by global competition requires increased data-
driven decision-making based on artificial intelligence (AI) and machine learning (ML). The …

[HTML][HTML] AI-powered ensemble machine learning to optimize cost strategies in logistics business

C Yaiprasert, AN Hidayanto - International Journal of Information …, 2024 - Elsevier
This research investigates the potential advantages of using artificial intelligence (AI) to
drive ensemble machine learning (ML) for enhancing cost strategies and maximizing profits …

[HTML][HTML] Improving the financial security of national health insurance using cloud-based blockchain technology application

AA Amponsah, AF Adekoya, BA Weyori - International Journal of …, 2022 - Elsevier
Since Bitcoin's success, there has been a greater emphasis on researching the use of
blockchain in a wide range of applications, such as agriculture, education, government …

Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework

S Gupta, W Ghardallou, DK Pandey… - Research in International …, 2022 - Elsevier
Using the technology–organization–environment framework, this study examines the factors
influencing the behavioral intention of insurance industry employees to adopt artificial …

[HTML][HTML] Supply chain digitalization: An integrated MCDM approach for inter-organizational information systems selection in an electronic supply chain

TS Deepu, V Ravi - International Journal of Information Management Data …, 2021 - Elsevier
Abstract Efficient Inter-Organizational Information Systems (IOIS) have become the
backbone of modern supply chains. IOIS can be used to plan, coordinate, collaborate and …

[HTML][HTML] Quantitative analysis of the development of digital marketing field: Bibliometric analysis and network mapping

T Saheb, B Amini, FK Alamdari - International Journal of Information …, 2021 - Elsevier
In 1978, two computer fans, Ward Christensen and Randy Suess, decided to invent a digital
system to inform their friends about meetings, make announcements, and share information …