Strategic scenario planning in practice: eight critical applications and associated benefits
Bibliographic record
Abstract
Purpose Organizations face challenges in volatile, uncertain, complex and ambiguous (VUCA) environments. It is vital to manage the change’s rate and magnitude in new and different ways to stay competitive. This study focuses on the phenomenon of scenario planning that can help organizations proactively plan for, react and adapt to VUCA forces if and when they occur. Design/methodology/approach Based on an extensive academic and practitioner literature review, we posit that corporate scenario planning involves eight different practical applications and associated benefits. These include risk identification, assessing uncertainty, organizational learning, options analysis, strategy validation and testing, complex decision-making, strategic nimbleness and innovation. We offer a novel typology and propose a more complete and holistic model of the scenario planning application and its intended outcomes. Mini-case studies from various sectors illustrate the process. The model demonstrates the relationship between different benefit-driven applications - inputs, process and output benefits – and identifies opportunities for further research. Findings A previous typology study classified “what” and “why” related scenario planning research and literature. However, the why or associated benefits were not broken down at any level of detail, representing a gap in explaining the actual value of this management tool. The current study proposes a novel “why” focused typology of scenario planning benefits based on an extensive literature review. The novel typology adorned several benefits of scenario planning in an integrated model explained using systems theory. These benefits included risk, uncertainty, options analysis, strategic flexibility, complex decision-making, strategy testing and validation, innovation and organizational learning. Originality/value First time in the literature, the relationship between input, process and output benefits of scenario planning is explained using systems theory. The novel typology proposed illustrates the practical applications of scenario planning in one complete model.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".