The popularity of big data and business analytics has increased tremendously in the last
decade and a key challenge for organizations is in understanding how to leverage them to …

Purpose The value of big data in supply chain management (SCM) is typically motivated by
the improvement of business processes and decision-making practices. However, the …

PURPOSE: The concept of business analytics (BA) and business intelligence (BI) is just
emerging in the Philippines. Since these are new concepts, it is important to investigate their …

Many organisations are increasingly dealing with massive amounts of data to face new
competitive challenges. However, even if powerful technologies support data collection and …

One main obstacle for Performance Measurement Systems (PMS) implementation in Small
and Medium Enterprises (SMEs) are non-formalized strategies, because the strategic …

With the intensive development and implementation of information and communication
technologies in manufacturing, large amounts of heterogeneous data are now being …

In the last decade manufacturing experienced a shift towards digitalization. Cost decrease of
sensors, wireless connectivity, and the opportunity to store big amounts of data pushed a …

Big data analytics (BDA) is defined as a holistic approach to managing, processing and
analyzing the 5V data-related dimensions (ie volume, variety, velocity, veracity and value) to …

The chapter explores the applications of the Data analytics and operations management
(OM) techniques in various domains. It describes the existing research on the use of big data …

Purpose The purpose of this paper is to investigate the mediating role of comprehensive
performance measurement systems (PMS)–ie measurement systems that comprise financial …