[HTML][HTML] Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research

JR Saura, D Ribeiro-Soriano… - Industrial Marketing …, 2021‏ - Elsevier
The new business challenges in the B2B sector are determined by connected ecosystems,
where data-driven decision making is crucial for successful strategies. At the same time, the …

Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research

H Jahani, R Jain, D Ivanov - Annals of Operations Research, 2023‏ - Springer
Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

[HTML][HTML] How do digital capabilities affect firm performance? The mediating role of technological capabilities in the “new normal”

J Heredia, M Castillo-Vergara, C Geldes… - Journal of Innovation & …, 2022‏ - Elsevier
This study proposes a model to explain the effect of digital capabilities on firm performance
in the “new normal” context from a firm-level perspective. Moreover, it analyzes the …

The digital marketing capabilities gap

D Herhausen, D Miočević, RE Morgan… - Industrial Marketing …, 2020‏ - Elsevier
Over the past two decades, digitalization has revolutionized not only consumer marketing
but also industrial marketing. Both industrial marketing scholars and industrial marketers …

An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance

S Bag, S Gupta, A Kumar, U Sivarajah - Industrial marketing management, 2021‏ - Elsevier
This study examines the effect of big data powered artificial intelligence on customer
knowledge creation, user knowledge creation and external market knowledge creation to …

Applications of artificial intelligence in B2B marketing: Challenges and future directions

M Moradi, M Dass - Industrial Marketing Management, 2022‏ - Elsevier
With the growing popularity of artificial intelligence (AI) transforming business-to-business
(B2B) marketing, there is a growing demand to comprehensively understand the adoption …

B2C E-commerce customer churn prediction based on K-means and SVM

X **ahou, Y Harada - Journal of Theoretical and Applied Electronic …, 2022‏ - mdpi.com
Customer churn prediction is very important for e-commerce enterprises to formulate
effective customer retention measures and implement successful marketing strategies …

Artificial intelligence adoption in business-to-business marketing: toward a conceptual framework

L Chen, M Jiang, F Jia, G Liu - Journal of Business & Industrial …, 2021‏ - emerald.com
Artificial intelligence adoption in business-to-business marketing: toward a conceptual framework
| Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …

Predicting employee attrition using machine learning techniques

F Fallucchi, M Coladangelo, R Giuliano… - Computers, 2020‏ - mdpi.com
There are several areas in which organisations can adopt technologies that will support
decision-making: artificial intelligence is one of the most innovative technologies that is …

Guest editorial: Artificial intelligence for B2B marketing: Challenges and opportunities

YK Dwivedi, Y Wang - Industrial Marketing Management, 2022‏ - Elsevier
A growing body of evidence indicates that implementing artificial intelligence (AI) at scale
can improve market performance in B2B settings by accelerating decision-making process …