Machine learning: Algorithms, real-world applications and research directions

IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

A framework for collaborative artificial intelligence in marketing

MH Huang, RT Rust - Journal of Retailing, 2022 - Elsevier
We develop a conceptual framework for collaborative artificial intelligence (AI) in marketing,
providing systematic guidance for how human marketers and consumers can team up with …

Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective

Y Gao, H Liu - Journal of Research in Interactive Marketing, 2023 - emerald.com
Purpose Artificial intelligence (AI) technology has revolutionized customers' interactive
marketing experience. Although there have been a substantial number of studies exploring …

AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues

KT Manis, S Madhavaram - Journal of Business Research, 2023 - Elsevier
All marketing capabilities can be enabled by technology. One such technology–artificial
intelligence (AI)–holds significant potential for enabling marketing capabilities. While …

Investigating online social media users' behaviors for social commerce recommendations

SH Liao, R Widowati, YC Hsieh - Technology in Society, 2021 - Elsevier
Online social media create virtual communities and network platforms that people use to
create, share, and exchange opinions, views and experiences. With social networks, social …

Creating new tech entrepreneurs with digital platforms: Meta-organizations for shared value in data-driven retail ecosystems

S Battisti, N Agarwal, A Brem - Technological Forecasting and Social …, 2022 - Elsevier
Creating technologically focused entrepreneurs is a crucial endeavor worldwide, especially
with the exponential growth of artificial intelligence (AI) innovation. This research explores …

[HTML][HTML] The impact of artificial intelligence along the insurance value chain and on the insurability of risks

M Eling, D Nuessle, J Staubli - The Geneva Papers on Risk and Insurance …, 2022 - Springer
Based on a data set of 91 papers and 22 industry studies, we analyse the impact of artificial
intelligence on the insurance sector using Porter's (1985) value chain and Berliner's (1982) …

A Review on Machine Learning Strategies for Real‐World Engineering Applications

RH Jhaveri, A Revathi, K Ramana… - Mobile Information …, 2022 - Wiley Online Library
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …

Why do users trust algorithms? A review and conceptualization of initial trust and trust over time

F Cabiddu, L Moi, G Patriotta, DG Allen - European management journal, 2022 - Elsevier
Algorithms are increasingly playing a pivotal role in organizations' day-to-day operations;
however, a general distrust of artificial intelligence-based algorithms and automated …