Data-driven machine learning and neural network algorithms in the retailing environment: Consumer engagement, experience, and purchase behaviors

T Kliestik, K Zvarikova, G Lăzăroiu - Economics, Management and …, 2022 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore data-
driven machine learning and neural network algorithms in the retailing environment. In this …

[HTML][HTML] Machine learning-assisted low-dimensional electrocatalysts design for hydrogen evolution reaction

J Li, N Wu, J Zhang, HH Wu, K Pan, Y Wang, G Liu… - Nano-Micro Letters, 2023 - Springer
Efficient electrocatalysts are crucial for hydrogen generation from electrolyzing water.
Nevertheless, the conventional" trial and error" method for producing advanced …

Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy

X Li, J Wang, C Yang - Neural Computing and Applications, 2023 - Springer
In the era of" Internet plus," the world economy is becoming more and more globalized and
informationalized. China's enterprises are facing unprecedented opportunities for their …

[HTML][HTML] Unpacking the influence of social media marketing activities on brand equity in the banking sector in Bangladesh: A moderated mediation analysis of brand …

M Hafez - International Journal of Information Management Data …, 2022 - Elsevier
The main purpose of this paper was to explore the effect of social media marketing activities
(SMMAs) on brand equity (BEQ) through a moderated mediation analysis of brand …

Development and application of digital twin technology for integrated regional energy systems in smart cities

W Huang, Y Zhang, W Zeng - Sustainable Computing: Informatics and …, 2022 - Elsevier
In order to study the development and application of digital twin technology in the integrated
regional energy system of smart cities, this paper proposes a basic concept of digital twin …

[HTML][HTML] Advancing algorithmic bias management capabilities in AI-driven marketing analytics research

S Akter, S Sultana, M Mariani, SF Wamba… - Industrial Marketing …, 2023 - Elsevier
Algorithms in the age of artificial intelligence (AI) constantly transform customer behaviour,
marketing programs, and marketing strategies in industrial markets. However, algorithms …

Causal aware parameterized quantum stochastic gradient descent for analyzing marketing advertisements and sales forecasting

M Gandhudi, GR Gangadharan, PJA Alphonse… - Information Processing …, 2023 - Elsevier
Nowadays, all marketing companies are focusing on advertisements to maximize their sales
and profit. Media mix models are used by advertisers to measure how advertisements would …

[HTML][HTML] Explaining the factors affecting customer satisfaction at the fintech firm F1 soft by using PCA and XAI

M Khanal, SR Khadka, H Subedi, IP Chaulagain… - FinTech, 2023 - mdpi.com
The most significant and rapidly expanding fintech services in Nepal are provided by several
fintech firms. Customer satisfaction must be compared side by side even if every …

Optimization system for financial early warning model based on the computational intelligence and neural network method

M Kathikeyan, A Roy, SS Hameed… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
In India right now, there is a rapid increase in the number of businesses experiencing
financial difficulties, and businesses' overall resilience to risks is low. As a result of advances …

From free to paid: Effect of knowledge differentiation on market performance of paid knowledge products

X Li, J Zhang, J Zhang - Information Processing & Management, 2023 - Elsevier
Exploring the factors that affect the market performance of paid knowledge products is of
great importance for knowledge payment platforms. Drawing on the sensations-familiarity …