Determinants of survival ratio for de jure standards: AI-related technologies and interaction with patents

         
Author Name TAMURA Suguru (Senior Fellow, RIETI)
Creation Date/NO. August 2018 18-P-014
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First draft: August 2018
Second draft: February 2019
Third draft : April 2019

Abstract

In this study, I focus on the characteristics of standardized technologies and the effective terms of regional de jure standards to discuss the effectiveness of their management system. To this end, I analyze the determining factors considering the Japanese Industrial Standards of approximately 14,000 cases. I conduct a semi-parametric survival analysis to study the determinants of the effective term. The results demonstrate that the technological category and type of technical standards (e.g., production and designs and symbols) significantly affect the effective term. International standards, legislative use, and a standard essential patent (SEP) are also shown to have significant influence on it. Moreover, the technological category of AI-related standards is established. I also discuss the difference between AI-related standards and non-AI-related standards. The effective term of AI-related technologies is found to be significantly shorter. These findings contribute to the design of better global and regional standards management processes.

These data are usable for the academic and educational purposes. Please refer as : Tamura.S (2018). Determinants of survival ratio for de jure standards: AI-related technologies and interaction with patents.RIETI PDP 18-P-014.

Forthcoming: Tamura, Suguru. "Determinants of survival ratio for de jure standards: AI-related technologies and interaction with patents," Computer Standards & Interfaces.