Temporal Dynamics in Acquisition Behavior: The Effects of Activity Load on Strategic Momentum
Bibliographic record
Abstract
Abstract Momentum theory suggests that acquisition experience leads to acquisition momentum in the form of a higher likelihood of subsequent acquisitions of the same type. However, this argument has been challenged theoretically and empirically. We reconcile conflicting predictions and findings of prior research and extend momentum theory by incorporating activity load as a novel causal mechanism to both replicate the base finding and explain deviations from it. We find that a high activity load due to increased acquisition activity acts as a counterforce to momentum, decreasing the likelihood of subsequent acquisitions of the same type. Moreover, we also find that the interplay of routines, cognitive frames, and activity load causes companies to alternate between different types of acquisitions – from small to large and from large to small – as management engages in attention modulation to preserve momentum. Taken together, our arguments and findings contribute to an improved understanding of temporal patterns of acquisition behaviour.
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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 | 0.001 | 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 | 0.000 |
| 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 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".