Small and medium-sized enterprises (SMEs) face unique challenges that can be effectively
addressed through the adoption of data mining and business intelligence (BI) tools. This …

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

This study aims to propose an integrative framework on data analytics in medium and small
enterprise (MSME) with an in-depth systematic review of existing literature evidenced …

Data Analytics in small and medium enterprise (SME) is an emerging area of research and
practice. Despite of growing importance of SME and increasing research in data analytics …

Businesses of all sizes are increasingly challenged by the need to be competitive in the
marketplace, improve operating performance, and deliver sustainable financial results. This …

Small and medium-sized enterprises (SMEs) can use analytics tools to use data for strategic
decision-making, but their adoption remains limited because of several issues. This study …

Labour policies have been singling out as the key impediment to financial success of small
and medium enterprises (SMEs). The upward spiral, exponential rate of SMEs failure in …

La presente investigación tiene como objetivo identificar las diferencias y similitudes que
pueden existir entre las variables asociadas a la gestión logística de las organizaciones …

Small scale enterprises (SSEs) face numerous challenges in managing and processing their
business data, which often leads to inefficiencies, errors, and suboptimal decision-making …

Business intelligence is central to the competitiveness of small and medium scale
enterprises (SMEs) in the developing world. Guided by Porter's five forces model, this …