Salesforce has been a key leader in evolving marketing within this digital era through the
use of specific marketing strategy aimed at creating and tracking marketing campaigns as …

Various advanced systems deploy artificial intelligence (AI) and machine learning (ML) to
improve demand forecasting. Supply chain planners need to become familiar with these …

Purpose This paper investigated the organizational adoption of big data analytics (BDA) in
the context of supply chain planning (SCP) to conceptualize how resources are orchestrated …

As the recent COVID-19 pandemic crisis has shown, global supply chains and value adding
networks are vulnerable to changes on the economic, business, technological, and social …

Purpose This paper empirically examines the implementation pattern of different types of
lean management (LM) techniques on the shop-floor. Based on the socio-technical systems …

This note updates the 2019 review article “Retail forecasting: Research and practice” in the
context of the COVID-19 pandemic and the substantial new research on machine-learning …

Supply chain management (SCM) is an intricate part of the business world at present. As
organizations serve the global consumer or user, supply chains must reach a wide range of …

In many real-world situations, multiple humans are involved in decision-making when
interacting with machine recommendations. We investigated a setting where an artificial …

We examine when and how task division improves performance for inventory planning.
Specifically, we consider a decentralized inventory management context with two …

Salesforce has been a key leader in evolving marketing within this digital era through the
use of specific marketing strategy aimed at creating and tracking marketing campaigns as …