{"title":"Innovation evaluation framework using state transition probability of the product","authors":"K. Jinzenji, Akio Jin, Tatsuya Muramoto","doi":"10.1109/ISSREW53611.2021.00099","DOIUrl":null,"url":null,"abstract":"In the age of digital disruption, coming up with continuous innovation has become a major challenge. The first step to overcoming this challenge is to understand the current state of the innovation activities with reference to customer value. We propose an innovation evaluation framework using the state transition probability of a product. This framework not only provides cost and delivery efficiency in terms of customer contribution, but also provides the innovation characteristics of the enterprise. We applied the proposed framework to software products of FY 2018 and found that the average product had a 14% probability of being added to a service within one year of starting development and that 28% of the development costs contributed to customer value. We also uncovered various structural issues in the innovation process. These findings are consistent with our intuitive impressions, thus demonstrating the effectiveness of the proposed framework as a means of grasping the status quo.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW53611.2021.00099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the age of digital disruption, coming up with continuous innovation has become a major challenge. The first step to overcoming this challenge is to understand the current state of the innovation activities with reference to customer value. We propose an innovation evaluation framework using the state transition probability of a product. This framework not only provides cost and delivery efficiency in terms of customer contribution, but also provides the innovation characteristics of the enterprise. We applied the proposed framework to software products of FY 2018 and found that the average product had a 14% probability of being added to a service within one year of starting development and that 28% of the development costs contributed to customer value. We also uncovered various structural issues in the innovation process. These findings are consistent with our intuitive impressions, thus demonstrating the effectiveness of the proposed framework as a means of grasping the status quo.