The overlooked influence of personality, idiosyncrasy and eccentricity in corporate mergers and acquisitions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Merger waves have typically been viewed through the prism of either corporate strategy or macro-economics. This paper aims to broaden debate about factors that cause – or are associated with – mergers/merger waves over a 120-year period. It ascribes “personalities” to six distinct waves and draws an overarching conclusion about how merger architects are viewed. Design/methodology/approach Databases and interviews are used to piece together detail about CEOs associated with six distinct and recognized merger-waves during a 120-year focal period. The study establishes and defends, a priori, principles for interrogating data to get a sense of each wave-era’s corporate personality/idiosyncrasy. For each era, two exemplar CEO-profiles are presented and – through inductive-reasoning – held out as representative. Findings Distinct personalities are associated with six merger waves. Each wave is given a summary anthropomorphic description which conveys a sense that it may be viewed as the non-rationale expression of aggregate and historically distinct CEO behavior within a circumscribed timeframe. Research limitations/implications The work’s key limitation – explicitly acknowledged – is that it amassed data/evidence from disparate historical sources. However, the authors have developed and defended principles for addressing this concern. Practical implications Improved investment analyses, in particular. The work prefigures formal establishment of a new variable-set impacting share-price prediction. Social implications The paper offers a perspective on how psychological/personality-related variables impact management decision-making, creating something of a bridge between mostly non-overlapping research disciplines. Originality/value The paper broadens debate about how and why merger waves occur. It removes the exclusive analysis of merger waves from the hands of economic historians and strategic management theorists.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it