ABSTRACT Big Data Analytics (BDA) has the potential to improve demand forecasting,
communications and better manage supply chain resources. Despite such recognised …

In the era of Big Data, many organisations have successfully leveraged Big Data Analytics
(BDA) capabilities to improve their performance. However, past literature on BDA have put …

Maturity models (MMs) are strategic tools used to assess and improve the current state of
processes, objects, or people, with the goal of achieving continuous performance …

Big data analytics have become an increasingly important component for firms across
advanced economies. This paper examines the quality dynamics in big data environment …

This study explores how big data can be used to enable customers to express unrecognised
needs. By acquiring this information, managers can gain opportunities to develop customer …

The revolution in the digital economy is forcing the retail pharmacy industry to develop new
business models to achieve operational excellence. A large amount of user-generated …

Big data is becoming more important to the new product development (NPD) efforts of global
firms. Although the term of big data is not new, very few studies have investigated how firms …

Big data analytics (BDA) has emerged as an important area of study for both academics and
practitioners. Despite of rising potential value of BDA, a few studies have been conducted to …

Product lifecycle management (PLM) is increasingly important for organizations acting in
dynamic and competitive markets since PLM can improve decision-making and reduce costs …

Purpose The current research aims to investigate the relationship between supply chain
(SC) processes maturity and SC performance in the context of an emerging market (ie …