Autobiographical vignettes in annual report CEO letters as a lens to understand how leadership is conceived and enacted
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine autobiographical vignettes that are embedded in the annual report letters to shareholders of chief executive officers (CEOs). The aim is to reveal the capacity of this narrative to self-construct leader identity, show how they can help CEOs attain legitimacy and how they help CEOs to exert management control. Design/methodology/approach The paper is positioned within literature that focuses on the importance of the annual report CEO letter and the strategic use of CEO autobiographical vignettes therein. Three autobiographical vignettes included in letters to shareholders signed by E. Hunter Harrison, CEO of Canadian National Railway (2004, 2005 and 2007), are analysed using close reading techniques. This involved the authors separately reading each vignette by slowing down the reading process to aid understanding of the text’s “inner workings”. Several close readings of each vignette were conducted until a consensus was reached between the authors. Findings Autobiographical vignettes have strong potential to be used strategically, as rhetorical devices, to help CEOs exert management control, facilitate change, shape leader-follower relationships and sustain self-legitimacy. Originality/value This paper is the first within the accounting domain to highlight the potential for autobiographical narrative in a CEO’s annual letter to shareholders to convey corporate information (including strategic intent), to construct leader identity and to exert management control.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".