EXPLAINABLE BUSINESS INTELLIGENCE AND HUMAN-CENTERED ANALYTICS IN THE DIGITAL BUSINESS ERA: A SYSTEMATIC LITERATURE REVIEW
Abstrak
Digital transformation driven by Artificial Intelligence (AI), Big Data Analytics, the Internet of Things (IoT), and Cloud Computing has transformed Business Intelligence (BI) from traditional descriptive reporting into predictive and prescriptive decision-support systems. Despite these advancements, the increasing reliance on AI-driven BI raises critical concerns regarding transparency, interpretability, and user trust due to the black-box nature of many machine learning models. To address these challenges, Explainable Business Intelligence (Explainable BI) and Human-Centered Analytics have emerged as complementary approaches that combine advanced analytical capabilities with human understanding, oversight, and decision support. This study employs a Systematic Literature Review (SLR) to synthesize recent research on the development, application, challenges, and future directions of Explainable BI and Human-Centered Analytics within digital business environments. The review identifies four major thematic areas: (1) explainability and transparency in AI-driven decision systems, (2) human–AI collaboration and user-centered analytical processes, (3) the evolution of BI toward intelligent decision infrastructures, and (4) socio-technical risks associated with AI adoption. The findings indicate that Explainable BI improves the transparency and interpretability of analytical outcomes, while Human-Centered Analytics enhances decision quality through trust calibration, contextual understanding, and effective human–AI collaboration. Furthermore, the review reveals significant research gaps, particularly regarding standardized explainability evaluation frameworks and the long-term impact of human–AI interaction on organizational decision-making. Overall, the integration of explainable and human-centered approaches in BI contributes to the development of trustworthy, innovative, and sustainable digital business infrastructures, supporting Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). Keywords: Explainable Business Intelligence; Human-Centered Analytics; Explainable Artificial Intelligence (XAI); Digital Business; Systematic Literature Review.
Identifier
- DOI: https://doi.org/10.5281/zenodo.20761075
- OpenAlex: https://openalex.org/W7165368640