Internalizing Peer Firm Product Market Concerns: Supply Chain Relations and M&A Activity
Bibliographic record
Abstract
ABSTRACT We explore whether firms internalize the product market concerns of their economically linked peers by examining merger and acquisition decisions in the context of customer–supplier relations. Given the extensive transfer of capital, knowledge, and information between merging parties, we hypothesize that customers’ competition concerns discourage their suppliers from engaging in vertically conflicted transactions (i.e., acquisitions of their customers’ rivals or suppliers to those rivals). Consistent with our hypothesis, we find that suppliers are less likely to engage in such transactions when their customers are subject to higher product market competition. Moreover, the effect is more pronounced when suppliers and customers have greater relationship‐specific investments and when customers face heightened proprietary information concerns. Using plausibly exogenous variation in common ownership between customers and their rivals as a shock to customers’ competition concerns, we conclude that the link between customers’ competition concerns and supplier acquisitions is likely causal. Our findings suggest that firms alter their investment and strategic decisions in response to the product market competition concerns of their economically related peers.
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.
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 | 0.030 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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; both teacher heads agree on what is shown here.
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".