[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 …

[HTML][HTML] How has data-driven marketing evolved: Challenges and opportunities with emerging technologies

AT Rosário, JC Dias - … Journal of Information Management Data Insights, 2023 - Elsevier
This paper explores data-driven marketing, its benefits, and challenges to provide insights
and a framework for business leaders and marketers to leverage in their marketing efforts …

[HTML][HTML] A review of industrial big data for decision making in intelligent manufacturing

C Li, Y Chen, Y Shang - … Science and Technology, an International Journal, 2022 - Elsevier
Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

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 …

The effect of AI-based CRM on organization performance and competitive advantage: An empirical analysis in the B2B context

S Chatterjee, NP Rana, K Tamilmani… - Industrial Marketing …, 2021 - Elsevier
Organizations have cultural-cognitive and regulative as well as normative elements that
impact their employees. Organizations, by definition, cannot achieve a pure, stable state and …

[HTML][HTML] How can organizations leverage big data to innovate their business models? A systematic literature review

C Acciarini, F Cappa, P Boccardelli, R Oriani - Technovation, 2023 - Elsevier
The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

[HTML][HTML] Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management

G Volkmar, PM Fischer, S Reinecke - Journal of Business Research, 2022 - Elsevier
Companies neither fully exploit the potential of Artificial Intelligence (AI), nor that of Machine
Learning (ML), its most prominent method. This is true in particular of marketing, where its …

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 …

Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions

P Akhtar, AM Ghouri, HUR Khan, M Amin ul Haq… - Annals of operations …, 2023 - Springer
Fake news and disinformation (FNaD) are increasingly being circulated through various
online and social networking platforms, causing widespread disruptions and influencing …

Investigating individual privacy within CBDC: A privacy calculus perspective

A Jabbar, A Geebren, Z Hussain, S Dani… - Research in International …, 2023 - Elsevier
Abstract Central Bank Digital Currencies (CBDC) are a digital innovation based upon
distributed ledger and smart contract technology. In this paper we examine how potential …