[HTML][HTML] Artificial intelligence (AI) applications for marketing: A literature-based study

A Haleem, M Javaid, MA Qadri, RP Singh… - International Journal of …, 2022 - Elsevier
Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information
and data sources, improving software's data management capabilities, and designing …

[HTML][HTML] Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda

A Zirar, SI Ali, N Islam - Technovation, 2023 - Elsevier
Abstract Workplace Artificial Intelligence (AI) helps organisations increase operational
efficiency, enable faster-informed decisions, and innovate products and services. While …

[HTML][HTML] Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions

YK Dwivedi, A Sharma, NP Rana, M Giannakis… - … Forecasting and Social …, 2023 - Elsevier
Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are
radically transforming various aspects related to people, business, society, and the …

[HTML][HTML] Time-series forecasting of seasonal items sales using machine learning–A comparative analysis

Y Ensafi, SH Amin, G Zhang, B Shah - International Journal of Information …, 2022 - Elsevier
There has been a growing interest in the field of neural networks for prediction in recent
years. In this research, a public dataset including the sales history of a retail store is …

[HTML][HTML] From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change

S Kraus, S Kumar, WM Lim, J Kaur, A Sharma… - … Forecasting and Social …, 2023 - Elsevier
Abstract Technological Forecasting and Social Change (TFSC) is one of the most prominent
journals to focus on the methodologies and practices of technological forecasting and …

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

R Han, HKS Lam, Y Zhan, Y Wang… - … Management & Data …, 2021 - emerald.com
Purpose Although the value of artificial intelligence (AI) has been acknowledged by
companies, the literature shows challenges concerning AI-enabled business-to-business …

Artificial intelligence in marketing: A meta‐analytic review

P Mehta, C Jebarajakirthy, HI Maseeh… - Psychology & …, 2022 - Wiley Online Library
This study synthesizes the artificial intelligence literature into a Meta‐analytic framework
based on the theory of reasoned action and the unified theory of acceptance and use of …

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 …

A novel method for exploring the store sales forecasting using fuzzy Pruning LS-SVM approach

MA Gandhi, VK Maharram, G Raja… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
Intelligent robots, intelligent mobiles, intelligent stores, and so on are just a few of the areas
where computer-aided ergonomics is being put to use. Convenience stores (CVS) are …

Pandemic, war, natural calamities, and sustainability: Industry 4.0 technologies to overcome traditional and contemporary supply chain challenges

A Raja Santhi, P Muthuswamy - Logistics, 2022 - mdpi.com
Background: The supply chain ecosystem is becoming fragile and difficult to manage due to
the complexities in its interlinked functions such as planning, procurement, production …