[HTML][HTML] Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations

J Samuel, R Kashyap, Y Samuel, A Pelaez - International journal of …, 2022 - Elsevier
Explosive growth in big data technologies and artificial intelligence (AI) applications have
led to increasing pervasiveness of information facets and a rapidly growing array of …

How to build a competitive advantage for your brand using generative AI

YG Cui, P van Esch, S Phelan - Business Horizons, 2024 - Elsevier
Generative artificial intelligence––defined as AI-enabled technology that analyzes and
learns from existing data and generates novel human-like content—has emerged as a …

[HTML][HTML] Explainable artificial intelligence and agile decision-making in supply chain cyber resilience

K Sadeghi, D Ojha, P Kaur, RV Mahto, A Dhir - Decision Support Systems, 2024 - Elsevier
Although artificial intelligence can contribute to decision-making processes, many industry
players lag behind pioneering companies in utilizing artificial intelligence-driven …

[HTML][HTML] Persuading patients using rhetoric to improve artificial intelligence adoption: experimental study

G Sebastian, A George, G Jackson Jr - Journal of Medical Internet Research, 2023 - jmir.org
Background Artificial intelligence (AI) can transform health care processes with its increasing
ability to translate complex structured and unstructured data into actionable clinical …

Artificial intelligence marketing (AIM): connecting-the-dots using bibliometrics

S Anayat, G Rasool - Journal of Marketing Theory and Practice, 2024 - Taylor & Francis
This study provides a detailed bibliometric analysis of AI in marketing by analyzing 328
existing studies using performance analysis and science mapping. Prominent topics in the …

[HTML][HTML] Public perceptions of COVID-19 vaccines: Policy implications from US spatiotemporal sentiment analytics

GGMN Ali, MM Rahman, MA Hossain, MS Rahman… - Healthcare, 2021 - mdpi.com
There is a compelling and pressing need to better understand the temporal dynamics of
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …

A multi-perspective micro-analysis of popularity trend dynamics for user-generated content

D Jatain, V Singh, N Dahiya - Social Network Analysis and Mining, 2022 - Springer
With the advancements in user-generated content sites, their prominence for multimedia
information dissemination is increasing on a rapid scale. An information about which content …

Play it safe or leave the comfort zone? Optimal content strategies for social media influencers on streaming video platforms

L Jiang, X Chen, S Miao, C Shi - Decision Support Systems, 2024 - Elsevier
Social media influencers (SMIs) endeavor to attract, retain, and, more importantly, influence
large audiences through creating videos on streaming video platforms (SVPs). Facing …

Toward a cognitive-inspired hashtag recommendation for twitter data analysis

Y Djenouri, A Belhadi, G Srivastava… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This research investigates hashtag suggestions in a heterogeneous and huge social
network, as well as a cognitive-based deep learning solution based on distributed …

The dark side of sentiment analysis: An exploratory review using lexicons, dictionaries, and a statistical monkey and chimp

J Samuel, G Rozzi, R Palle - … , and a Statistical Monkey and Chimp …, 2022 - papers.ssrn.com
This article discusses the inconsistencies, inaccuracies and challenges, namely thedark
side'of sentiment analysis and then demonstrates problems with using sentiment analysis …