Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

M Botifoll, I Pinto-Huguet, J Arbiol - Nanoscale Horizons, 2022 - pubs.rsc.org
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

Artificial intelligence in marketing research and future research directions: Science mapping and research clustering using bibliometric analysis

J Thakur, BP Kushwaha - Global Business and Organizational …, 2024 - Wiley Online Library
The marketing environment has experienced significant advancements due to the
transformative influence of technologies such as artificial intelligence, data analytics …

Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience

Y Liu-Thompkins, S Okazaki, H Li - Journal of the Academy of Marketing …, 2022 - Springer
Artificial intelligence (AI) continues to transform firm-customer interactions. However, current
AI marketing agents are often perceived as cold and uncaring and can be poor substitutes …

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 …

Integration of generative AI techniques and applications in student behavior and cognitive achievement in Arab higher education

M Jaboob, M Hazaimeh, AM Al-Ansi - International Journal of …, 2024 - Taylor & Francis
Abstract The integration of Artificial Intelligence (AI) in higher education has the power to
revolutionize the learning experience by fostering engagement, personalization, efficiency …

AI-enabled marketing solutions in Marketing Decision making: AI application in different stages of marketing process

N Ljepava - TEM Journal, 2022 - ceeol.com
The digital transformation led by disruptive technologies can help organizations address
numerous challenges and deliver better customer value through innovative technologies in …

Public perceptions on application areas and adoption challenges of AI in urban services

T Yigitcanlar, RYM Li, T Inkinen… - Emerging Sciences …, 2022 - eprints.qut.edu.au
Artificial intelligence (AI) deployment is exceedingly relevant to local governments, for
example, in planning and delivering urban services. AI adoption in urban services, however …

The effect of artificial intelligence on end-user online purchasing decisions: Toward an integrated conceptual framework

H Beyari, H Garamoun - Sustainability, 2022 - mdpi.com
This study was an investigation into the effect of selected artificial intelligence tools and the
consideration set on the end-user purchasing intentions of convenient and shopping …

AI-driven marketing: Transforming sales processes for success in the digital age

KK Sharma, M Tomar, A Tadimarri - Journal of Knowledge Learning and …, 2023 - jklst.org
In the era of digital transformation driven by disruptive technologies, organizations are
striving to overcome challenges and enhance customer value through innovative solutions …

Inbound marketing como enfoque estratégico en el contexto de las Start-Ups tecnológicas dirigidas a negocios

C García Mendoza, L Kishimoto Pinillos… - Revista Universidad y …, 2021 - scielo.sld.cu
Este artículo discute la adopción del enfoque Inbound Marketing por parte de startups de
tecnología dedicadas a proveer servicios B2B. Para poder desarrollar este tema, se parte …