The Dark Side of Powerful Platform Owners: Aspiration Adaptations of Digital Firms
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Theoretical or conceptualConsensus signal: Theoretical or conceptual
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.393
- Threshold uncertainty score
- 0.409
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.005 |
| 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)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.219 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
This study provides a timely and critical perspective on the negative influences of powerful platform owners (PPOs) on the strategy aspiration adaptations of digital firms operating on these platforms. Contrary to the tenets of the behavioral theory of the firm, the aspiration adaptation of digital firms is largely influenced by PPOs rather than autonomously based on market- and competition-based referents. We call this Faustian bargain—the trade-off between the utility and advantages offered by PPOs’ technology affordance and the loss of aspiration adaptation control of independent digital firms—the “dark side” of powerful platforms. Drawing on resource-dependency logic and illustrative cases, we uncover how PPO characteristics, structural mechanisms, and the use of undesirable tactics manifest this phenomenon. In addition to uncovering the dynamics of an increasingly critical managerial and scholarly phenomenon, we provide much-needed implications for PPO governance practices and policies. Further, we advocate the formation of new institutions that can match the dynamic development of the digital platform economy with adaptive regulations and enforcement, superseding existing but ineffective antitrust laws mainly based on the pre-digital world.
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.
The record
- Venue
- Academy of Management Perspectives
- Topic
- Digital Platforms and Economics
- Field
- Business, Management and Accounting
- Canadian institutions
- Western University
- Funders
- not available
- Keywords
- Great RiftBusinessAdaptation (eye)Far side of the MoonPsychologyNeuroscienceAstronomyPhysics
- Has abstract in OpenAlex
- yes