The Applicability of Prophet Muhammad’s Strategies in his Battles and Campaigns in Modern Business
Bibliographic record
Abstract
The choice of strategy is prudently done by top managers and business strategists in order to maintain the company’s survival, sustainability and achievement of its mission and objectives. This study attempts to examine the applicability of the specific Prophet Muhammad’s strategies in his battles and campaigns in modern business. Eight Prophet’s strategies were tested that comprise (1) jihad, (2) swiftness, (3) steadfast (al-sabirun) (4) vigorous image, (5) harm prevention, (6) hijrah (migration), (7) peace (al-silmi) and (8) dynamic. Eight respondents consisting of four managing directors, three chief executive officers and one chief operating officer of SMEs in Malaysia who are in the role of strategizing their companies participated in this study. The study found that all of the eight strategies are applicable and being practiced in modern business. This paper opens a new direction of research, discovering the strategic management framework in the of Prophet Muhammad’s war strategies.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".