Is using Technological Cycle Time (TCT) an acceptable way to evaluate the vitality of an industry? If a firm was looking into expanding their core R&D competencies would an industry with a faster growth rate attract them? Rapid growth in an industry is like a forrest full of deer. Easy hunting and big rewards. On the other hand, stagnation can occur within a sector when serious technological hurdles start to slow the pace of development. In that situation, technological breakthroughs are needed in order to pave the way for continued growth (Kayal, 1999). According to Kayal’s theories and observations regarding technological progress in the superconductor and semiconductor fields, looking at the TCT for an industrial sector can give you an idea about the pace of technological development taking place. TCT of several IPCs is shown (thin colored lines) below. The overall range is generally between 5-8. All the IPC’s closely…
IP
Technology Cycle Time (TCT) is an accepted way to evaluate the pace of technological development although it requires some special considerations. A good analogy is how a chainsaw is a good way to cut down a tree, but it also presents many risks, including the inherent risk of felling a large object. Error of judgement, calculation or interpretation could be fatal. Here is some stark evidence that TCT calculations are a reliable indicator of the current technological environment. The speed of technological development is slowing in recent years. Is this only due to the economic situation? Unlikely. TCT in the USPTO shows that the slowing technological development preceded the economic crisis of 2007. Although overall patenting is increasing dramatically, the rate that the technology is replacing itself is actually slowing. Some evidence of this can be seen when you look at the average processor speed in PC’s and notebooks. Although…
IPC, UPC, ECLA, F-index/F-term are all systems of patent classification. Patent classification is important to organize the granted patents into categories so patent portfolio managers and strategic firm managers can search them as prior art, and for strategic purposes. Concordance tables can help to compare one system to another. In all cases, class is determined by the patent examiner, not chosen by the company. IPC (International Patent Classification System) – 70,000 divisions of the IPC, which is the native patent classification system of the World Intellectual Property Organization (WIPO). IPC’s most general classification system consists of a letter (having 8 general classes in total), with A being human necessities. G & H are the most important and numerous high-tech general classifications for physics and electricity respectively. UPC (USPC) (United States Patent Classification System) – The UPC is separate and not directly linked to the syntax of the IPC. …
This short presentation was prepared for ‘Introduction to Technology Innovation Management’ at NCHU. This presentation outlines the difference between design and utility patents using the Apple vs. Samsung litigation in recent years to demonstrate the value of design patents. In this presentation the value of design patents is proven to be high and therefore including design patents in your firm’s IP strategy is essential. If you have any questions, please email me: joseph.lee.esl@gmail.com HERE IS THE PDF: https://dl.dropbox.com/u/45852891/Protecting%20Innovation%20Apple%20vs%20Samsung.pdf
This presentation was for my MBA class ‘Strategic Management of IP’ at NCHU. In this paper I outline various patent indicators and their uses, along with example charts from the USPTO. This paper covers indicators of activity, value, economy, and pace of technological innovations, as well as using citations, and litigation data as indicators. If you have any questions please email me at: joseph.lee.esl@gmail.com HERE IS A LINK TO THE PPT: https://dl.dropbox.com/u/45852891/Patent%20Indicators%20-%20FINAL.pdf
This paper is written by my professor at the NCHU and I have prepared a PPT presentation and literature review. This paper was published in the journal Nature Biology which is the number one top ranked journal in the category of biology. This paper outlines a proposed method for calculating value of patents in the pharmaceutical industry. The method uses a stochastic Monte-Carlo simulation strategy to account for the uncertainty of life-cycle phase particular to the pharmaceutical industry. In reality, experts are needed to adjust the three main variables of reversion rate, volatility, and drift rate according to the specific conditions of the patent in question. This model of valuation could be useful in patent licensing and sales negotiations. If you have any further questions, please email me: joseph.lee.esl@gmail.com LINK TO THE PPT: https://dl.dropbox.com/u/45852891/Project%20Analysis%20-%20FINAL.pdf
