The growing importance of the United Nations Sustainable Development Goals (SDGs) has intensified academic and organizational interest in tools that support their achievement. Business Intelligence (BI), as a data-driven decision-support technology, emerges as a strategic ally in this context. This article aims to systematically analyze the existing scientific literature that links BI to the SDGs, identifying trends, gaps, and contributions to digital sustainability. The methodology is based on a systematic literature review following the PRISMA protocol, with 11 articles selected after a rigorous screening process across academic databases. The analysis shows that most studies focus on using BI to monitor sustainability indicators, support strategic decision-making, and optimize processes in public and private organizations. However, a lack of robust empirical research and limited critical assessment of the real impact of BI tools on the SDGs were noted. The findings highlight BI’s potential as a catalyst for sustainable, data-driven practices, with relevant implications for public policy development and organizational strategies. This study contributes to the understanding of BI’s role in promoting sustainability and points to opportunities for further research.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Business Intelligence and the Sustainable Development Goals: A Systematic Literature Review

  • Romeu Sequeira,
  • Miguel Mota,
  • Agostinho Sousa Pinto,
  • Eusébio Costa,
  • Rui Costa,
  • Piotr Luty

摘要

The growing importance of the United Nations Sustainable Development Goals (SDGs) has intensified academic and organizational interest in tools that support their achievement. Business Intelligence (BI), as a data-driven decision-support technology, emerges as a strategic ally in this context. This article aims to systematically analyze the existing scientific literature that links BI to the SDGs, identifying trends, gaps, and contributions to digital sustainability. The methodology is based on a systematic literature review following the PRISMA protocol, with 11 articles selected after a rigorous screening process across academic databases. The analysis shows that most studies focus on using BI to monitor sustainability indicators, support strategic decision-making, and optimize processes in public and private organizations. However, a lack of robust empirical research and limited critical assessment of the real impact of BI tools on the SDGs were noted. The findings highlight BI’s potential as a catalyst for sustainable, data-driven practices, with relevant implications for public policy development and organizational strategies. This study contributes to the understanding of BI’s role in promoting sustainability and points to opportunities for further research.