Existing literature highlights the general value of Big

The gap

Evidence profile

Stated in the future work and abstract and conclusions sections of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 3 representative gaps

• Linking customer big data analytics to firm performance: evidence from B2B organizations in an emerging market context (2026) · Frontiers in Artificial Intelligence · doi

  Future research could address these limitations and further enrich the understanding of big data analytics in B2B contexts. Cross-cultural comparative studies would be valuable in identifying how regional and institutional factors influence analytics adoption and its impact on performance. Longitudinal research designs could examine the tem- poral progression of analytics maturity and its sustained influence on strategic outcomes. Moreover, future investigations could focus on industry-specific analyses to determine whether the mechanisms link- ing big data analytics, customer satisfaction, and firm performance differ across sectors such as healthcare, education, or logistics. Firm size also influences these relationships, as previous studies suggest that the development and implementation of big data strategies vary by organizational scale and resource availability (Badghish and Soomro, 2024; Mikalef et al., 2019). Another promising avenue involves explor- ing the integration of artificial intelligence, machine learning, and predictive analytics to assess how emerging technologies enhance or transform the value derived from big data. Finally, incorporating human and organizational dimensions such as leadership support, data literacy, employee attitudes, and change management, these variables could provide a more comprehensive understanding of the social and cultural foundations that enable data-driven success in B2B organizations.

  generalstated in future workevidence 5/5
  Keywords: analytics future understanding cultural influence performance firm organizational address limitations further enrich contexts cross comparative
• Big data analytics-driven agribusiness: assessing the impact on the competitiveness of Moroccan private companies through dynamic capabilities (2026) · Journal of Agribusiness in Developing and Emerging Economies · doi

  While existing literature highlights the general value of Big Data Analytics Capabilities (BDAC) in developed markets, few studies have contextualized this relationship for agro-industry in the North Africa region, where structural transformations are rapidly reshaping competitive dynamics.

  generalstated in abstractevidence 5/5
  Keywords: existing literature highlights general value analytics capabilities bdac developed markets contextualized relationship agro industry north
• Big data analytics capabilities enhance green product innovation and dual sustainability performance via green dynamic capabilities (2026) · Scientific Reports · doi

  These results suggest that merely possessing advanced technologies, such as big data, is insufficient for superior economic and environmental performance; rather a firm’s ability to sense and seize opportunities and reconfigure existing resources appears more central to this relationship.

  generalstated in conclusionsevidence 5/5
  Keywords: suggest merely possessing advanced technologies insufficient superior economic environmental performance rather firm ability sense seize

Questions about this gap