Towards purposeful strategic planning: A mixed research synthesis across disciplines

Strategic planning is one of the most popular strategy approaches across sectors and across the globe. Unsurprisingly, research on strategic planning crosses disciplines ranging from management and public administration to healthcare, urban planning and sustainability. This fragmentation has resulted in research silos, with little interaction between disciplines. Integration across disciplines is needed to understand the various purposes strategic planning can serve. This study uses topic modeling, a machine learning tool, to analyze 6,361 articles on strategic planning. Ten topics are identified, which can be clustered into four categories: societal issues and challenges , processes and practices , street-level sectors , and corporate functions . Time trends analysis indicates a steep increase over time in research attention to strategic planning for the purpose of addressing societal issues and challenges. Combined with a qualitative meta-narrative review, these findings result in a purposeful strategic planning definition and conceptualization to guide theory, research and practice.

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Publication Details

Journal
Long Range Planning
Published
2025-07-05
DOI
https://doi.org/10.1016/j.lrp.2025.102563
Citations
6
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
12.64
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article

Towards purposeful strategic planning: A mixed research synthesis across disciplines

Bert George
6 citations
Long Range Planning
Complex Systems and Decision Making
12.64
article

Towards purposeful strategic planning: A mixed research synthesis across disciplines

Bert George
article en
6 citations

Abstract

Strategic planning is one of the most popular strategy approaches across sectors and across the globe. Unsurprisingly, research on strategic planning crosses disciplines ranging from management and public administration to healthcare, urban planning and sustainability. This fragmentation has resulted in research silos, with little interaction between disciplines. Integration across disciplines is needed to understand the various purposes strategic planning can serve. This study uses topic modeling, a machine learning tool, to analyze 6,361 articles on strategic planning. Ten topics are identified, which can be clustered into four categories: societal issues and challenges , processes and practices , street-level sectors , and corporate functions . Time trends analysis indicates a steep increase over time in research attention to strategic planning for the purpose of addressing societal issues and challenges. Combined with a qualitative meta-narrative review, these findings result in a purposeful strategic planning definition and conceptualization to guide theory, research and practice.

Long Range PlanningVol. 58(4)
City University of Hong Kong (HK)
Sustainable cities and communities
Openalex Percentile: Top 1%
Complex Systems and Decision Making
12.64
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