The Finance Shelf

A Non-Compensatory Multimetric Framework for Technology Assessment in Regulated Environments (OpenAlex (recherche mondiale))

Research paperOpenAlex (recherche mondiale)November 202633 pages50 min readGonzález Cambero Carolina, Paula Lamo, José Javier Rainer GranadosOriginal source
Key number
100 % %
Framework outcome accuracy in Monte-Carlo draws p.2
Largest segment
87.9 % %
Residual technical risk concentrated in backend component p.2
What changed
+207.33 % %
CWRI change under uniform -1 TRL shift p.22

Summary

  • The Non-Compensatory Multimetric Framework (NCMF) is validated on 2 real technology initiatives of a leading insurance group [p.1].p.1
  • In Monte-Carlo simulations with 10 000 parameter draws, standard MCDA methods incorrectly rank the rejected initiative first in 96.6–100 % of draws [p.2].p.2
  • The proposed NCMF framework reproduces both documented organizational authorization outcomes in 100 % of parameter draws [p.2].p.2
  • Component-level risk analysis localizes 87.9 % of the authorized initiative's residual technical risk in a single backend component [p.2].p.2
  • The authorized initiative (Pilot B) achieved an Integrated Systems Maturity Index of 7.82 and a Criticality-Weighted Risk Index of 54.6 [p.21].p.21
  • Component C1 (Backend App Server) accounts for 48.0 of Pilot B's total 54.6 CWRI technical risk score [p.21].p.21
  • The assessment pipeline runs with an algorithmic time complexity of O(mn2) and scales to architectures with thousands of components [p.2].p.2

Key insights

  1. Outranking methods derive veto thresholds from analyst preferences on pairwise differences, which is incompatible with exogenous, absolute regulatory requirements.p.1
  2. Pilot A was rejected because it satisfied only 75 % of regulatory veto items, failing mandatory third-party data and cloud compliance checks.p.2
  3. The framework pipeline executes in O(mn2) time complexity and processes a Design Structure Matrix of 25 million entries in 79.6 ms.p.18
  4. A uniform -1 shift in Technology Readiness Level across components increases the Criticality-Weighted Risk Index by 207.33 %.p.22
  5. Compensatory decision models allow high technical performance to inappropriately offset critical compliance deficits in regulated environments.p.4
  6. Pilot B's backend application server exhibits an operational maturity of 6 and generates 48.0 of the project's total 54.6 technical risk score.p.21

Topics and entities

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