Scholarlink

Patent assessment has progressed beyond conventional financial indicators, integrating sophisticated methodologies such as real options analysis, SWOT framework, ESG considerations, and binomial models. Real options analysis affords adaptability in evaluating patents amid uncertain market dynamics, while the SWOT framework delineates strategic advantages and disadvantages within patent portfolios. Binomial models and Monte Carlo simulations refine patent forecasting by accommodating volatility and flexibility in decision-making. This chapter investigates how these analytical frameworks enhance patent valuation methodologies, bolster risk evaluation, and synchronize patent management with overarching corporate strategic objectives.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Patent Valuation: Real Options, SWOT Analysis, ESG, and Binomial Models

  • 章节

  • 发表日期：

    2025年

查看全文
  • Roberto Moro-Visconti

摘要

Patent assessment has progressed beyond conventional financial indicators, integrating sophisticated methodologies such as real options analysis, SWOT framework, ESG considerations, and binomial models. Real options analysis affords adaptability in evaluating patents amid uncertain market dynamics, while the SWOT framework delineates strategic advantages and disadvantages within patent portfolios. Binomial models and Monte Carlo simulations refine patent forecasting by accommodating volatility and flexibility in decision-making. This chapter investigates how these analytical frameworks enhance patent valuation methodologies, bolster risk evaluation, and synchronize patent management with overarching corporate strategic objectives.