BUSINESS RELATEDNESS IN THE EUROPEAN INSURER-BANKING INDUSTRY: SOURCES OF VALUE CREATION.
Bibliographic record
Abstract
Despite that the resource-based view of the firm has provided important new insights into business relatedness, there has been only limited researches linked to the theory that handles with the case of financial services (Grandval & Vergnaud , 2006; Gregor, 2002). No study, however, treated the relatedness of business and relationship with performance, in the specific case of insurer -banks. Many European insurers are waking up to the potential offered by Insurance-Banking, following the same reasons as the banks when they entered the bancassurance market. In contrast, whereas bankers proved to be successful in establishing an insurance company from scratch, this seems a far more difficult path for insurers. The exploitation of banker s core competences and their advantages with regard to traditional insurers, during their diversifications towards related business as the life insurance, explains the success of bancassurance strategy. In this study, we focus on the actual links between insurer s core business and banking activities. We are trying to explain why insurers have not been performing as well as bankers in a deregulated banking/ insurance industry?
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".