What does this research mean for the field?

Integrating search engine data into SME business intelligence enhances decision-making processes. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to explore how search engine data can inform business intelligence for small and medium enterprises (SMEs).

February 28, 2026Open Access

From market signals to decisions: integrating search engine data into SME business intelligence

Key Points

This research aims to explore how search engine data can inform business intelligence for small and medium enterprises (SMEs).
Conceptual development based on ongoing doctoral research.
Presentation of findings at the CIDEMA Conference on digital economy and management.
Incorporation of market signals into decision-making frameworks.
Proposes a new approach for SMEs to leverage search engine data.
Suggests that integrating market signals could enhance business intelligence.
Highlights potential benefits for decision-making processes in SMEs.

Abstract

This conference paper is based on a contribution presented at the CIDEMA Conference (International Congress on Digital Economy and Management). The document reflects an extended conceptual development derived from ongoing doctoral research. It does not represent a final journal article nor a complete systematic literature review. This work was partially supported by Proportione LDA. The conference presentation certificate is included as an additional file to verify the contribution presented at CIDEMA Conference – International Congress on Digital Economy and Management, Madrid, November 19–21, 2025.

From market signals to decisions: integrating search engine data into SME business intelligence

Key Points

Abstract

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