Publication2026
Artificial Intelligence (AI)Powered Competitive Intelligence: Transforming Strategic Decision-Making in the Digital Age
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- International — held abroad
- Journal
- Harnessing AI and Predictive Analytics for Decision Making and Competitive Advantage
- Pages
- 73-93
- Published
- 1 January 2026
- DOI
- 10.4018/979-8-3373-3648-0.ch003
- Scopus ID
- 105043488004
- Authors
- 3
- Open access
- No
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- IN, MY
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
Examines AI-powered competitive intelligence systems enabling data-driven strategic business decision-making and market analysis for organizational competitive advantage.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Big data analytics and machine learning algorithms represent technological innovation supporting business intelligence and strategic planning.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
AI-powered business analytics represents digital technology innovation for competitive strategy and organizational decision support.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Artificial Intelligence (AI)Powered Competitive Intelligence: Transforming Strategic Decision-Making in the Digital Age”. Kortex.
