Strategic Planning as a Higher-Order Capability: Balancing Financial Analysis and Strategic Foresight in Jordan, Iraq, and Saudi Arabia – A SPIM Matrix Analysis

• abdulrheem yaqoob

  وزارة التربية مديرية تربية واسط قسم الاعداد والتدريب

  Author

Objective: Three factors planning, financial analysis, and proactiveness intersect in Saudi Arabia, Jordan, and Iraq. But "flexibility" as the presumptive equivalent is the test's central component. Its significance should be questioned rather than merely tested statistically; there, they might only be instantaneous reactions to shocks rather than actual performance components.

Methodology: Using two concurrent tracks qualitative (21 interviews) and quantitative (312 managers in 25 companies analysis was conducted using PLS-SEM and HLM. Although sector robustness has been demonstrated by multiple group tests, systematic bias procedures are still technically preventive and do not address the question of whether the variation between sectors is caused by actual structural differences or by measurement tools.

Findings: Strategic planning influences performance in erratic Arab markets, but it does so indirectly through financial analysis and proactivity, the latter of which demonstrates a statistically stronger mediating effect, highlighting the contextual predominance of reactive financial discipline over proactive environmental sensing within the sampled Arab organizations. When organizational flexibility allows the structure enough flexibility to magnify outputs, effectiveness rises.

Originality and Conclusions: Formal planning alone is insufficient within the SPIM matrix; instead, a combination of structural flexibility, fiscal strictness, and proactivity is needed. To effectively move the matrix from procedural to sustainable strategic adaptation, there is a need for balancing exploitation and exploration, according to the sectoral and national specificities, which form complementary patterns.

Recommendations and Limitations: The recommendations include emergency funds, scenario analysis, diagnostic matrix application, and continuous revision rather than periodic. However, generalizability is weakened by the cross-sectional design and the restriction to three countries and one sector. This highlights the need for longitudinal and cross-sectional tests that incorporate contextual variables that have not yet been investigated.

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