Jialei Yang, H. Chesbrough, P. Hurmelinna-Laukkanen
{"title":"How to Appropriate Value from General-Purpose Technology by Applying Open Innovation","authors":"Jialei Yang, H. Chesbrough, P. Hurmelinna-Laukkanen","doi":"10.1177/00081256211041787","DOIUrl":null,"url":null,"abstract":"Artificial intelligence increasingly attracts attention and investments. However, appropriating value from this general-purpose technology (GPT) can be difficult. To understand these challenges, this article analyzes why IBM failed to generate significant profits from IBM Watson Health despite its promising starting points. The findings suggest that, considering the characteristics of GPT, an overly closed approach for taking it to market contributed to the failure. Furthermore, conditions such as the immaturity and the complexity of the application field intensified the challenges. This study suggests that using a strong appropriability regime in open innovation can enhance the appropriation of value from a GPT.","PeriodicalId":9605,"journal":{"name":"California Management Review","volume":"64 1","pages":"24 - 48"},"PeriodicalIF":6.3000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"California Management Review","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/00081256211041787","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 19
Abstract
Artificial intelligence increasingly attracts attention and investments. However, appropriating value from this general-purpose technology (GPT) can be difficult. To understand these challenges, this article analyzes why IBM failed to generate significant profits from IBM Watson Health despite its promising starting points. The findings suggest that, considering the characteristics of GPT, an overly closed approach for taking it to market contributed to the failure. Furthermore, conditions such as the immaturity and the complexity of the application field intensified the challenges. This study suggests that using a strong appropriability regime in open innovation can enhance the appropriation of value from a GPT.
期刊介绍:
California Management Review (CMR) serves as a vital link between academia and management practice, offering leading-edge research with practical applications. Edited at UC Berkeley’s Haas School of Business, CMR covers a wide range of management topics, including innovation, strategy, sustainable practices, and human resources. CMR ranks among the top management journals globally, distributing articles through outlets like Harvard Business School Publishing and SAGE Publishing. Focused on bridging academia and practice, CMR ensures that all articles are based on rigorous academic research while providing actionable insights for managers. In addition to regular issues, CMR publishes special issues and sections on relevant topics, often guest-edited by leading faculty. Recent special issues have covered dynamic capabilities, city innovation, big data, and intellectual property management.