Artificial intelligence as a disruptive technology—a systematic literature review

VD Păvăloaia, SC Necula - Electronics, 2023 - mdpi.com
The greatest technological changes in our lives are predicted to be brought about by
Artificial Intelligence (AI). Together with the Internet of Things (IoT), blockchain, and several …

Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery

CH Lee, CL Liu, AJC Trappey, JPT Mo… - Advanced Engineering …, 2021 - Elsevier
Digital transformation (DT) is the process of combining digital technologies with sound
business models to generate great value for enterprises. DT intertwines with customer …

Machine learning and artificial intelligence use in marketing: a general taxonomy

A De Mauro, A Sestino, A Bacconi - Italian Journal of Marketing, 2022 - Springer
The emergence of consumer-generated data and the growing availability of Machine
Learning (ML) techniques are revolutionizing marketing practices. Marketers and …

Digital Marketing: Optimization of Uniwara Pasuruan Students to Encourage UMKM" Jamu Kebonagung" Through Branding Strategy

AW Aryaseta, I Rosidah, VE Cahaya, J Dausat… - Jurnal …, 2023 - ejournal.umm.ac.id
Pasuruan is a city in the eastern part of Java Island, famous for its traditional drink brand,"
Jamu Kebonagung." Spices' distinctive taste and benefits as the main ingredient make this …

The use of chatbots in digital business transformation: A systematic literature review

A Miklosik, N Evans, AMA Qureshi - Ieee Access, 2021 - ieeexplore.ieee.org
The research on chatbots has gained momentum over the past few years. Academics and
practitioners investigate how these tools for communication with customers or internal team …

Machine learning for industry 4.0: a systematic review using deep learning-based topic modelling

D Mazzei, R Ramjattan - Sensors, 2022 - mdpi.com
Machine learning (ML) has a well-established reputation for successfully enabling
automation through its scalable predictive power. Industry 4.0 encapsulates a new stage of …

The physical internet in the era of digital transformation: perspectives and open issues

H Tran-Dang, DS Kim - Ieee Access, 2021 - ieeexplore.ieee.org
The Physical Internet (PI, or) paradigm has been developed for a global logistics system that
aims to move, handle, store, and transport logistics products in a sustainable and efficient …

[HTML][HTML] Personalizing communication and segmentation with random forest node embedding

W Wang, W Eberhardt, S Bromuri - Expert Systems with Applications, 2024 - Elsevier
Communicating effectively with customers is a challenge, especially in a context requiring
long-term planning such as the pension sector. Engaging individuals to obtain information …

Optimisation of knowledge management (KM) with machine learning (ML) Enabled

M Anshari, M Syafrudin, A Tan, NL Fitriyani, Y Alas - Information, 2023 - mdpi.com
The emergence of artificial intelligence (AI) and its derivative technologies, such as machine
learning (ML) and deep learning (DL), heralds a new era of knowledge management (KM) …

Digital business transformation: An experience-based holistic framework

N Evans, A Miklosik, R Bosua, AMA Qureshi - IEEE Access, 2022 - ieeexplore.ieee.org
This paper describes the lived experiences of experts who have taken a holistic approach to
driving transformation in various organizations. The primary goal of the paper is to outline, at …