Linganisha mbinu

	Analytic Hierarchy Process for Strategic Priorities	Strategic Importance-Performance Analysis	SWOT-AHP Hybrid Analysis
Nyanja	Usimamizi wa Kimkakati	Usimamizi wa Kimkakati	Usimamizi wa Kimkakati
Familia	MCDM	Process / pipeline	MCDM
Mwaka wa asili	1980	1977	2000
Mwanzilishi	Thomas L. Saaty	John A. Martilla & John C. James	Mikko Kurttila, Mauno Pesonen, Jyrki Kangas & Miika Kajanus
Aina	Multi-criteria decision analysis via pairwise comparison	Two-dimensional attribute prioritization grid	Hybrid multi-criteria SWOT prioritization
Chanzo asilia	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. New York: McGraw-Hill. ISBN: 9780070543713	Martilla, J. A., & James, J. C. (1977). Importance-Performance Analysis. Journal of Marketing, 41(1), 77-79.	Kurttila, M., Pesonen, M., Kangas, J., & Kajanus, M. (2000). Utilizing the analytic hierarchy process (AHP) in SWOT analysis — a hybrid method and its application to a forest-certification case. Forest Policy and Economics, 1(1), 41-52.
Majina mbadala	Strategic AHP Prioritization, AHP for Strategy Decisions, Pairwise Strategic Priority Setting, Hierarchical Strategic Decision Weighting	Strategic IPA Grid, Importance-Performance Matrix for Strategy, Attribute Prioritization Grid, Action Grid Analysis	A'WOT Analysis, Quantified SWOT Analysis, AHP-Weighted SWOT, Hybrid SWOT-AHP Prioritization
Zinazohusiana	3	3	3
Muhtasari	The Analytic Hierarchy Process (AHP) applied to strategic priorities is a multi-criteria decision method that structures a complex strategy choice into a hierarchy of goal, criteria, and alternatives, then derives priority weights from expert pairwise comparisons. Thomas Saaty developed AHP in the 1970s and set out its full theory in his 1980 book, with a widely cited 1990 article distilling how to make a decision with the method. Its appeal for strategy is that it converts the qualitative judgments managers actually make — that growth matters more than cost control, say — into ratio-scale weights, while quantifying and policing the consistency of those judgments. The result is a transparent, defensible ranking of strategic options that integrates multiple, often conflicting, criteria.	Strategic importance-performance analysis (IPA) is a simple, visual method for prioritizing attributes by plotting how important each one is against how well the organization performs on it. Martilla and James introduced IPA in 1977 to help managers translate satisfaction research into action, arguing that measuring performance alone is not enough — you must know which attributes matter. The two dimensions define a grid with four action quadrants, from 'concentrate here' (high importance, low performance) to 'possible overkill' (low importance, high performance). Used strategically, IPA turns a list of capabilities, service features, or strategic factors into a clear map of where to invest, where to maintain, and where resources may be wasted, making it a lightweight complement to more formal prioritization tools.	SWOT-AHP, also called A'WOT, is a hybrid strategy method that quantifies an ordinary SWOT analysis by applying the Analytic Hierarchy Process to its factors. Kurttila, Pesonen, Kangas, and Kajanus introduced the technique in 2000, motivated by the fact that classic SWOT lists strengths, weaknesses, opportunities, and threats without saying which matter most. By treating the four SWOT groups and the factors within them as an AHP hierarchy and eliciting pairwise comparisons on Saaty's 1-9 scale, the method derives numerical priority weights for every SWOT factor. The result is a SWOT analysis whose factors are ranked and commensurable, so strategists can see not just what the relevant factors are but how important each one is relative to the others.