Amit Kumar Kushwaha

Orcid: 0000-0002-5537-1250

According to our database1, Amit Kumar Kushwaha authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
MarkBot - A Language Model-Driven Chatbot for Interactive Marketing in Post-Modern World.
Inf. Syst. Frontiers, June, 2024

2023
How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users' Perception.
Inf. Syst. Frontiers, June, 2023

Facilitators and Barriers of Artificial Intelligence Adoption in Business - Insights from Opinions Using Big Data Analytics.
Inf. Syst. Frontiers, 2023

2022
Capricious opinions: A study of polarization of social media groups.
Gov. Inf. Q., 2022

2021
Applications of big data in emerging management disciplines: A literature review using text mining.
Int. J. Inf. Manag. Data Insights, 2021

Information Labelling of Medical Forum Posts by Non-Clinical Text Information Retrieval.
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

Always Trust the Advice of AI in Difficulties? Perceptions Around AI in Decision Making.
Proceedings of the Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, 2021

2020
Studying Online Political Behaviours as Rituals: A Study of Social Media Behaviour Regarding the CAA.
Proceedings of the Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 2020

Micro-foundations of Artificial Intelligence Adoption in Business: Making the Shift.
Proceedings of the Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 2020

Language Model-Driven Chatbot for Business to Address Marketing and Selection of Products.
Proceedings of the Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 2020

Predicting Information Diffusion on Twitter a Deep Learning Neural Network Model Using Custom Weighted Word Features.
Proceedings of the Responsible Design, Implementation and Use of Information and Communication Technology, 2020


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