Abstract
The book critically examines how small and medium-sized enterprises (SMEs) can exploit big data to enhance strategic decision-making, operational efficiency, and competitiveness. Through expert contributions and in-depth case studies, it addresses key themes such as human capital analytics, digital transformation, and data-driven learning. The book emphasizes practical, scalable solutions for SMEs to overcome resource limitations and integrate data analytics into their business models. By providing a comprehensive framework, it equips SMEs with tools to effectively promote sustainable growth and innovation in an increasingly data-centric global market.
References
C. LUND PEDERSEN, A. LINDGREEN, T. RITTER, T. RINGBERG (EDITED BY), BIG DATA IN SMALL BUSINESS. DATA-DRIVEN GROWTH IN SMALL AND MEDIUM-SIZED ENTERPRISES, EDWARD ELGAR PUBLISHING, 2021

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2026 Ilaria Curina
