[HTML][HTML] From CRM to social CRM: A bibliometric review and research agenda for consumer research

R Perez-Vega, P Hopkinson, A Singhal… - Journal of Business …, 2022 - Elsevier
Contemporary perspectives on customer relationship management and the parent concept
of customer management gathered momentum in the mid-1980 s and early 1990s. The …

Leveraging artificial intelligence for enhanced supply chain optimization: a comprehensive review of current practices and future potentials

OS Joel, AT Oyewole, OG Odunaiya… - International Journal of …, 2024 - fepbl.com
The integration of artificial intelligence (AI) technologies into supply chain management has
emerged as a crucial avenue for enhancing efficiency, agility, and responsiveness in …

Artificial intelligence, blockchain, big data analytics, machine learning and data mining in traditional CRM and social CRM: a critical review

G Lampropoulos, K Siakas, J Viana… - 2022 IEEE/WIC/ACM …, 2022 - ieeexplore.ieee.org
In the ever-increasing competitive and customer-centered global market, the role of
Customer Relationship Management (CRM) is essential to the performance, longevity …

Exploratory review of applications of machine learning in finance sector

S Rakshit, N Clement, NR Vajjhala - Advances in Data Science and …, 2022 - Springer
The finance sector is one of the key pillars of any nation's economy. However, with the
emergence of big data and rapid advancements in technology, the finance sector is …

[PDF][PDF] Challenges in decoding consumer behavior with data science

V Chkoniya - European Journal of Economics and Business Studies, 2021 - revistia.com
Decoding the ever-evolving consumer behavior is one of the biggest challenges faced by
marketers around the world. The future of consumer behavior research is put into question …

[PDF][PDF] Covid-19 detection using modified xception transfer learning approach from computed tomography images

K Morani, EK Ayana, D Unay - International Journal of Advances in …, 2023 - academia.edu
Purpose The main purpose in this study is to propose a transfer learning-based method for
COVID-19 detection from recently collected and challenging database of Computed …

Artificial Intelligence (AI)-based Customer Relationship Management (CRM): a comprehensive bibliometric and systematic literature review with outlook on future …

D Ozay, M Jahanbakht, A Shoomal… - Enterprise Information …, 2024 - Taylor & Francis
Artificial Intelligence (AI) integration into Customer Relationship Management (CRM) within
enterprise information systems (EIS) has provided businesses with transformative …

Social crm: A literature review based on keywords network analysis

FMF Lobato, JLF Silva Junior, A Jacob… - … Systems Workshops: BIS …, 2020 - Springer
The ways of relationship between companies and customers have changed dramatically
due to web-users engagement with Social Media. This phenomenon brought up a new …

CRATSM: An Effective Hybridization of Deep Neural Models for Customer Retention Prediction in the Telecom Industry: Manuscript Received: 8 April 2024, Accepted …

JO Victor, XY Chew, KW Khaw… - Journal of Engineering …, 2024 - journals.mmupress.com
In the dynamic field of Customer Retention Prediction (CRP), strategic marketing and
promotion efforts targeting specific customers are crucial. Understanding customer behavior …

COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images

K Morani, MF Balikci, TY Altuntas, D Unay - arxiv preprint arxiv …, 2022 - arxiv.org
Our main goal in this study is to propose a transfer learning based method for COVID-19
detection from Computed Tomography (CT) images. The transfer learning model used for …