Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions
Purpose Although the value of artificial intelligence (AI) has been acknowledged by
companies, the literature shows challenges concerning AI-enabled business-to-business …
companies, the literature shows challenges concerning AI-enabled business-to-business …
A multidisciplinary perspective of big data in management research
J Sheng, J Amankwah-Amoah, X Wang - International Journal of …, 2017 - Elsevier
In recent years, big data has emerged as one of the prominent buzzwords in business and
management. In spite of the mounting body of research on big data across the social …
management. In spite of the mounting body of research on big data across the social …
Artificial intelligence for supply chain resilience: learning from Covid-19
S Modgil, RK Singh, C Hannibal - The International Journal of …, 2022 - emerald.com
Purpose Many supply chains have faced disruption during Covid-19. Artificial intelligence
(AI) is one mechanism that can be used to improve supply chain resilience by developing …
(AI) is one mechanism that can be used to improve supply chain resilience by developing …
When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process?
The analytic hierarchy process (AHP) has been widely applied in the last four decades, and
a fuzzy logic version, the fuzzy AHP (FAHP), has also been employed in many studies since …
a fuzzy logic version, the fuzzy AHP (FAHP), has also been employed in many studies since …
The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study
B Roßmann, A Canzaniello, H von der Gracht… - … Forecasting and Social …, 2018 - Elsevier
The continuously growing amount of available data has accelerated the emergence of
numerous business intelligence applications that are summarized under the term Big Data …
numerous business intelligence applications that are summarized under the term Big Data …
When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?
Social media analytics is very critical in modern supply chain operations management
(SCOM). However, in terms of methods, conducting social media analytics (SMA) for SCOM …
(SCOM). However, in terms of methods, conducting social media analytics (SMA) for SCOM …
Toward sustainability: using big data to explore the decisive attributes of supply chain risks and uncertainties
Rapid market changes aimed at sustainability have led to supply chain risks and
uncertainties in the Taiwanese light-emitting diode industry. These risks and uncertainties …
uncertainties in the Taiwanese light-emitting diode industry. These risks and uncertainties …
The impact of digitalization and inter-organizational technological activities on supplier opportunism: the moderating role of relational ties
Purpose Digitalization encourages the manufacturer to engage in inter-organizational
technological activities (ie supplier IT integration and supply visibility) with its major supplier …
technological activities (ie supplier IT integration and supply visibility) with its major supplier …
A multi-agent based system with big data processing for enhanced supply chain agility
M Giannakis, M Louis - Journal of Enterprise Information …, 2016 - emerald.com
Purpose Decision support systems are becoming an indispensable tool for managing
complex supply chains. The purpose of this paper is to develop a multi-agent-based supply …
complex supply chains. The purpose of this paper is to develop a multi-agent-based supply …
Future trends and guidance for the triple bottom line and sustainability: A data driven bibliometric analysis
This study conducts a comprehensive literature review of articles on the triple bottom line
(TBL) published from January 1997 to September 2018 to provide significant insights and …
(TBL) published from January 1997 to September 2018 to provide significant insights and …