Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
supply chains. However, the literature is highly dispersed regarding the application of AI in …

Determining customer satisfaction elements in retailing after-sales services have been well
explored; however, the increasing competition in this area demands the investigation of …

Artificial intelligence (AI) has been a key driver to reduce operational uncertainty and
improve performance in supply chain management. Due to the advent of new data gathering …

Purpose The purpose of this paper is to develop a theoretical model to explain the impact of
big data analytics capabilities (BDAC) on company's supply chain sustainability (CSCS) …

Artificial Intelligence (AI) has been claimed to offer transformational power across industries
and sectors. To date, research has largely focused on the technical characteristics of AI and …

This study examines how innovation (INN) influences the relationship between supply chain
management and information technology in Jordan. 211 employees of Jordanian industrial …

Purpose This paper conducts a Systematic Literature Review (SLR) of Machine Learning
(ML) in Supply Chain Management through bibliometric and network analysis, the authors …

This research inquired into the constituents making up the dimensions of the United Nations
(UN) Global Compact, explored the challenges and opportunities associated with …

Purpose This paper aims to present a smart, sustainable supply chain practices structure on
the basis of the relational view. Design/methodology/approach A method based on fuzzy …

This study investigates various factors for assessing sustainability in Multi-tier Supply Chains
(MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system …