{"title":"联合分析是否可靠地评估专利?","authors":"Bernard Chao, Sydney Donovan","doi":"10.1111/ablj.12182","DOIUrl":null,"url":null,"abstract":"<p>Modern technology products are often covered by thousands of patents. Yet awards for a single component have averaged a surprisingly high 9.98% of the infringing product's price. To curb such disproportionate awards, the law insists that damages reflect the contribution made by the patent. But determining how to apportion damages in this way has proved to be elusive. One emerging technique that appears to offer rigor is conjoint analysis, a type of survey borrowed from the marketing world. This article explores the validity of the conjoint analysis technique by running two conjoint analysis surveys. Unfortunately, we found serious problems. First, the results of our surveys yielded irrationally high numbers. Most survey features suffered from bizarrely high valuations. Second, we demonstrate how experts can manipulate the results by selecting among a number of different ostensibly reasonable statistical choices and picking the one that yields the most desirable outcome. Based on these findings, we provide several recommendations. First, we argue that courts should not allow evidence of conjoint analysis to show the monetary value of specific features. However, we recognize that there is support for using conjoint analysis to provide relative valuations (i.e., feature A is worth significantly more than feature B). To the extent that courts permit this use, we suggest ways to ensure that experts employ the best science available. These recommendations include assuring that experts accurately depict variability in their results and requiring experts to “preregister” the approach they intend to use with the court.</p>","PeriodicalId":54186,"journal":{"name":"American Business Law Journal","volume":"58 2","pages":"225-269"},"PeriodicalIF":1.3000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/ablj.12182","citationCount":"1","resultStr":"{\"title\":\"Does Conjoint Analysis Reliably Value Patents?\",\"authors\":\"Bernard Chao, Sydney Donovan\",\"doi\":\"10.1111/ablj.12182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Modern technology products are often covered by thousands of patents. Yet awards for a single component have averaged a surprisingly high 9.98% of the infringing product's price. To curb such disproportionate awards, the law insists that damages reflect the contribution made by the patent. But determining how to apportion damages in this way has proved to be elusive. One emerging technique that appears to offer rigor is conjoint analysis, a type of survey borrowed from the marketing world. This article explores the validity of the conjoint analysis technique by running two conjoint analysis surveys. Unfortunately, we found serious problems. First, the results of our surveys yielded irrationally high numbers. Most survey features suffered from bizarrely high valuations. Second, we demonstrate how experts can manipulate the results by selecting among a number of different ostensibly reasonable statistical choices and picking the one that yields the most desirable outcome. Based on these findings, we provide several recommendations. First, we argue that courts should not allow evidence of conjoint analysis to show the monetary value of specific features. However, we recognize that there is support for using conjoint analysis to provide relative valuations (i.e., feature A is worth significantly more than feature B). To the extent that courts permit this use, we suggest ways to ensure that experts employ the best science available. These recommendations include assuring that experts accurately depict variability in their results and requiring experts to “preregister” the approach they intend to use with the court.</p>\",\"PeriodicalId\":54186,\"journal\":{\"name\":\"American Business Law Journal\",\"volume\":\"58 2\",\"pages\":\"225-269\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2021-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/ablj.12182\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Business Law Journal\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ablj.12182\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Business Law Journal","FirstCategoryId":"90","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ablj.12182","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
Modern technology products are often covered by thousands of patents. Yet awards for a single component have averaged a surprisingly high 9.98% of the infringing product's price. To curb such disproportionate awards, the law insists that damages reflect the contribution made by the patent. But determining how to apportion damages in this way has proved to be elusive. One emerging technique that appears to offer rigor is conjoint analysis, a type of survey borrowed from the marketing world. This article explores the validity of the conjoint analysis technique by running two conjoint analysis surveys. Unfortunately, we found serious problems. First, the results of our surveys yielded irrationally high numbers. Most survey features suffered from bizarrely high valuations. Second, we demonstrate how experts can manipulate the results by selecting among a number of different ostensibly reasonable statistical choices and picking the one that yields the most desirable outcome. Based on these findings, we provide several recommendations. First, we argue that courts should not allow evidence of conjoint analysis to show the monetary value of specific features. However, we recognize that there is support for using conjoint analysis to provide relative valuations (i.e., feature A is worth significantly more than feature B). To the extent that courts permit this use, we suggest ways to ensure that experts employ the best science available. These recommendations include assuring that experts accurately depict variability in their results and requiring experts to “preregister” the approach they intend to use with the court.
期刊介绍:
The ABLJ is a faculty-edited, double blind peer reviewed journal, continuously published since 1963. Our mission is to publish only top quality law review articles that make a scholarly contribution to all areas of law that impact business theory and practice. We search for those articles that articulate a novel research question and make a meaningful contribution directly relevant to scholars and practitioners of business law. The blind peer review process means legal scholars well-versed in the relevant specialty area have determined selected articles are original, thorough, important, and timely. Faculty editors assure the authors’ contribution to scholarship is evident. We aim to elevate legal scholarship and inform responsible business decisions.