[HTML][HTML] Artificial intelligence in marketing: Systematic review and future research direction

S Verma, R Sharma, S Deb, D Maitra - International Journal of Information …, 2021 - Elsevier
Disruptive technologies such as the internet of things, big data analytics, blockchain, and
artificial intelligence have changed the ways businesses operate. Of all the disruptive …

When machine learning meets network management and orchestration in Edge-based networking paradigms

A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …

Supply chain management for extreme conditions: Research opportunities

MMS Sodhi, CS Tang - Journal of Supply Chain Management, 2021 - Wiley Online Library
Large companies were concerned about their supply chains with environmental and social
sustainability and disruption from natural disasters, conflict, and trade disagreements even …

The impact of governmental COVID‐19 measures on manufacturers' stock market valuations: The role of labor intensity and operational slack

L Chen, T Li, F Jia, T Schoenherr - Journal of Operations …, 2023 - Wiley Online Library
This study investigates the impact of the Chinese government's Level I emergency response
policy on manufacturers' stock market values. We empirically examine the roles of human …

[PDF][PDF] Strategic framework for leveraging artificial intelligence in future marketing decision-making

N Hicham, H Nassera, S Karim - Journal of Intelligent …, 2023 - researchgate.net
Disruptive technologies such as the big data analytics, blockchain, Internet of Things, and
artificial intelligence have each impacted how businesses operate. The most recent example …

Backshoring strategy and the adoption of Industry 4.0: Evidence from Europe

A Ancarani, C Di Mauro, F Mascali - Journal of World Business, 2019 - Elsevier
An analysis of the competitive priorities that may lead backshoring companies to adopt new
technologies is developed and tested using secondary data from 495 relocation initiatives to …

Local food supply chain resilience to constitutional change: the Brexit effect

LC Hendry, M Stevenson, J MacBryde, P Ball… - International Journal of …, 2019 - emerald.com
Purpose The purpose of this paper is to investigate how local supply chains prepare for and
respond to the threats and opportunities presented by constitutional change, thereby …

Transaction cost economics as a theory of supply chain efficiency

M Ketokivi, JT Mahoney - Production and Operations …, 2020 - journals.sagepub.com
Transaction cost economics (TCE) is one of the most widely referenced organization
theories in operations and supply chain management research. Even though TCE is a …

No silver bullet for de-carbonization: preparing for tomorrow, today

SAR Khan, Z Yu, A Sharif - Resources policy, 2021 - Elsevier
The objective of this study is to examine the green supply chain management (GSCM)
practices, economic growth, and socio-environmental indicators on a macro-level in a panel …

Modern slavery in supply chains: a secondary data analysis of detection, remediation and disclosure

M Stevenson, R Cole - Supply Chain Management: An International …, 2018 - emerald.com
Purpose The purpose of this study is to examine how organisations report on the detection
and remediation of modern slavery in their operations and supply chains and to understand …