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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in August 2026 (Volume 31, Issue 2) Submit manuscript

ARTIFICIAL INTELLIGENCE ADOPTION AND STRATEGIC PLANNING EFFECTIVENESS: AN EMPIRICAL STUDY OF ORGANIZATIONAL DECISION-MAKING

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  • ARTIFICIAL INTELLIGENCE ADOPTION AND STRATEGIC PLANNING EFFECTIVENESS: AN EMPIRICAL STUDY OF ORGANIZATIONAL DECISION-MAKING

Mark Ian C. Abrias 1, * and Nerissa M. Revilla 2 

1 Professor, National University, Philippines.
2 Professor, San Beda University.
* Corresponding Author
ORCID Details
Mark Ian C. Abrias: https://orcid.org/0009-0008-1039-9111
Nerissa M. Revilla: https://orcid.org/0009-0006-1585-158X  

Research Article

 

World Journal of Advanced Research and Reviews, 2026, 31(02), 944–953

Article DOI: 10.30574/wjarr.2026.31.2.2137

DOI url: https://doi.org/10.30574/wjarr.2026.31.2.2137

Received on 08 July 2026; revised on 17 August 2026; accepted on 19 August 2026

This study examined the influence of Artificial Intelligence (AI) adoption on strategic planning effectiveness among selected IT companies in the Philippines. As organizations increasingly operate in dynamic and data-intensive environments, AI technologies have emerged as critical tools for improving decision-making, forecasting, and strategic management. Despite the growing implementation of AI across industries, empirical evidence regarding its contribution to strategic planning effectiveness remains limited, particularly in developing economies. Using a quantitative descriptive-correlational research design, data were collected from 105 managers and executives employed in selected technology firms. A structured questionnaire measured AI adoption and strategic planning effectiveness using a seven-point Likert scale. Descriptive statistics, Pearson product-moment correlation, and linear regression analyses were employed to analyze the data.
The findings revealed that AI adoption was perceived to be at a very high level, while strategic planning effectiveness was assessed as high among participating organizations. Correlation analysis indicated a strong and statistically significant positive relationship between AI adoption and strategic planning effectiveness (r = 0.78, p < 0.01). Regression analysis further demonstrated that AI adoption significantly predicted strategic planning effectiveness (β = 0.47, p < 0.001), explaining a substantial proportion of the variance in strategic planning outcomes (R² = 0.72). These results suggest that organizations leveraging AI technologies are more likely to develop effective strategies, improve decision quality, enhance forecasting accuracy, and strengthen organizational adaptability.
The study concludes that AI adoption serves as a strategic organizational capability that significantly enhances strategic planning effectiveness. The findings contribute to the growing literature on AI-enabled management and provide practical implications for organizations seeking to improve strategic decision-making and achieve sustainable competitive advantage in the digital era.

Artificial Intelligence Adoption; Strategic Planning Effectiveness; Strategic Decision-Making; Digital Transformation; Organizational Performance

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-2137.pdf

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Mark Ian C. Abrias, Nerissa M. Revilla. ARTIFICIAL INTELLIGENCE ADOPTION AND STRATEGIC PLANNING EFFECTIVENESS: AN EMPIRICAL STUDY OF ORGANIZATIONAL DECISION-MAKING. World Journal of Advanced Research and Reviews, 2026, 31(02), 944–953. Article DOI: https://doi.org/10.30574/wjarr.2026.31.2.2137

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