The impact of platform business models on organizational performance in the era of Industry 5.0: A strategic agility and innovation approach
Bibliographic record
Abstract
The study explores the impact of the platform business model (PBM) on organizational performance, focusing on Industry 5.0 (I5.0). It introduces a conceptual model to assess how PBMs shape organizational outcomes. PBMs are recognized for their role in managing multi-sided markets and leveraging forces such as strategic agility (SA), business model innovation (BMI), strategic operations practice (SOP) and I5.0 technologies to create value. Despite their significance, the systematic integration of PBMs in the organizational value-creation process remains underexplored. To address this, the authors propose a pragmatic conceptual model, which is then converted into a structural equation model to evaluate the effects of PBMs on performance. Structural Equation Model (SEM), combined with confirmatory factor analysis, highlights PBMs’ intangible influence, driven by digital resources and evolving customer value propositions. PBMs face rapid changes influenced by SA, BMI, SOP and I5.0, leading to short-term competitive advantages. The study underscores the importance of SA, BMI and SOP in organizational strategy but notes their limited long-term benefits. It also presents research propositions with implications for leaders and policy-makers, enhancing the understanding of PBMs in the I5.0 context.
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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 | 0.001 | 0.001 |
| 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 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".