Sep 2026· World Journal of Advanced Research and Reviews· 0 citations
Abstract
Business analytics has become an important tool for small and medium-sized enterprises (SMEs) seeking to improve decision-making and strengthen their competitive position. This study examines the influence of business analytics capabilities on the competitive advantage of SMEs, focusing on tangible analytics resources, intangible analytics resources, and human analytical skills. A quantitative research design is proposed using a structured questionnaire administered to SME owners and managers. The collected data will be analyzed using descriptive statistics, reliability and validity testing, correlation analysis, and Partial Least Squares Structural Equation Modeling (PLS-SEM). The study aims to determine whether business analytics capabilities significantly contribute to cost efficiency, innovation, market responsiveness, differentiation, and customer value. The proposed framework emphasizes that analytics technologies alone may not provide competitive advantage; their effectiveness depends on data quality, organizational support, analytical knowledge, and employees' ability to interpret and apply analytical insights. The study is expected to provide practical guidance for SMEs seeking to develop data-driven capabilities and improve their competitiveness in increasingly digital business environments.
The objective of this research was to determine if, and to what extent, the tangible resources, human skills, and intangible resources components of big data analytics capability, collectively and individually, significantly predict competitive firm performance among small- and medium-sized enterprises (SMEs) in the Un...
Dhananjayan Kashyap, John R. Kuhn, Tere North et al.· International Journal of Man...· 0 citations
Findings reveal that business analytics capability exerts a significant positive effect on organizational performance across all four dimensions of the balanced scorecard: financial performance, customer satisfaction, internal business process efficiency, and organizational learning.
Sabrina Ashraf Mumu· IIARD International Journal...· 0 citations
The study uses the term data maturity gap as an interpretive lens to organize evidence on the disconnect between firms' recognition of data value and their ability to integrate analytical, technological and organizational capabilities.
Ibrahim M. Awad, A. Awad, M. El-Jafari et al.· Journal of Enterprise Inform...· 0 citations
This study investigated the influence of Business Analytics, Knowledge Retention, and Dynamic Capabilities on Competitive Advantage using secondary data collected from 327 e-commerce firms to reinforce the Resource-Based View, Knowledge-Based View, and Dynamic Capabilities Theory by demonstrating that sustainable compe...
Amit Kansal, Santosh Ramdas Shivane, G. Kaur et al.· EPH – International Journal...· 0 citations
This study investigates how human resource analytics (HRA) influences organizational performance in Saudi Arabian companies. It emphasizes on three main areas: employee engagement analytics, talent acquisition analytics, and manpower planning analytics. A quantitative, descriptive research approach was employed. The st...
O. Baakeel· Heritage and Sustainable Dev...· 0 citations
Evidence is synthesized that BDA strengthens decision quality and speed by combining analytics capability, predictive modeling, artificial intelligence, and data-driven insights and recommends transparent, scalable, and human-centered analytics governance.
Amelia Contesa, Ilzi Adrolis, Wenni Syafitri et al.· Business System & Innova...· 0 citations
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