Performance measures and metrics (PMM) is identified to be an essential aspect of
managing diverse supply chains. The PMM improves the firm's performance by providing …

The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

Purpose The purpose of this paper is to provide a return on investment (ROI) based review
of human resources (HR) analytics. The objectives of this paper are twofold: first, to offer an …

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

Abstract Introduction: Small and Medium-sized Enterprises (SMEs) face numerous
challenges in today's rapidly evolving business landscape. Predictive analytics models offer …

Robotisation is rapidly influencing the way in which humans interact, how work gets done,
and identifying tasks that can be automated (Chartered Institute of Management Accountants …

Purpose The purpose of this paper is to elucidate the emerging landscape of procurement
analytics. This paper focuses on the following questions: what are the current and future …

A q-rung orthopair fuzzy set (q-ROFS), an extension of the Pythagorean fuzzy set (PFS) and
intuitionistic fuzzy set (IFS), is very helpful in representing vague information that occurs in …

The emergence of real-time supply chain visibility technologies has raised challenges for
organisations in developing the required management capabilities required to exploit …

Information systems coupled with internet, cloud computing, mobile devices and Internet of
Things have led to massive volumes of data, commonly referred as big data. It includes mix …