The explosion of data volume in the digital age has completely changed the corporate and
industrial environments. In-depth analysis of large datasets to support strategic decision …

This paper presents a systematic literature review of the research field on big data analytics
capabilities (BDACs). With the emergence of big data and digital transformation, a growing …

The main purpose of this study is to examine the factors that are critical to create business
value from business analytics (BA). Therefore, we conduct a meta-analysis of 125 firm-level …

Manufacturing companies usually ignore their current state of big data and analytics
implementation, losing the opportunity to achieve high-performance targets. An evaluation …

Organisations must derive adequate business value (BV) from Business Intelligence (BI)
adoption to retain their profitability and long-term sustainability. Yet, the nuances that define …

Artificial intelligence capabilities (AIC) can influence supply chain management (SCM) in
multiple ways. This study explores how generative artificial intelligence capabilities (GAIC) …

Purpose Digital technology is increasingly important in enhancing organizational agility
(OA). Institutional theory and resource-based view were harmonized to analyze firms' …

ABSTRACT A meta-analysis consisting of 42 studies was conducted to investigate the
relationship between big data analytics capability (BDAC) and firm performance, as well as …

Purpose This study aims to examined the impact of business intelligence (BI) and supply
chain ambidexterity (SCA) on operational performance (OP), contributing to dwarf …

Purpose The current work sought to investigate the mediating effect of supply chain
ambidexterity on the relationship between Industry 4.0 capabilities and operational …