{"title":"在具有网络效应的技术密集型供应链中利用平台中介发放许可","authors":"Chung-Chi Hsieh, Sung-Wei Lin","doi":"10.1016/j.orl.2024.107161","DOIUrl":null,"url":null,"abstract":"<div><p>We examine a technology firm's licensing choices, with or without a platform intermediary, in a market with two competing manufacturers. We analyze how market conditions influence the technology firm's decision, considering its ability to enhance product quality and network effects. We find that licensing through the platform intermediary is beneficial across a wider range of network effects when the gap in the manufacturers' capabilities narrows. Furthermore, this approach enables higher profitability with less effort in certain market conditions.</p></div>","PeriodicalId":54682,"journal":{"name":"Operations Research Letters","volume":"57 ","pages":"Article 107161"},"PeriodicalIF":0.8000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leveraging platform intermediaries for licensing in technology-intensive supply chains with network effects\",\"authors\":\"Chung-Chi Hsieh, Sung-Wei Lin\",\"doi\":\"10.1016/j.orl.2024.107161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We examine a technology firm's licensing choices, with or without a platform intermediary, in a market with two competing manufacturers. We analyze how market conditions influence the technology firm's decision, considering its ability to enhance product quality and network effects. We find that licensing through the platform intermediary is beneficial across a wider range of network effects when the gap in the manufacturers' capabilities narrows. Furthermore, this approach enables higher profitability with less effort in certain market conditions.</p></div>\",\"PeriodicalId\":54682,\"journal\":{\"name\":\"Operations Research Letters\",\"volume\":\"57 \",\"pages\":\"Article 107161\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Operations Research Letters\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S016763772400097X\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operations Research Letters","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016763772400097X","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
Leveraging platform intermediaries for licensing in technology-intensive supply chains with network effects
We examine a technology firm's licensing choices, with or without a platform intermediary, in a market with two competing manufacturers. We analyze how market conditions influence the technology firm's decision, considering its ability to enhance product quality and network effects. We find that licensing through the platform intermediary is beneficial across a wider range of network effects when the gap in the manufacturers' capabilities narrows. Furthermore, this approach enables higher profitability with less effort in certain market conditions.
期刊介绍:
Operations Research Letters is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. Apart from a limitation to eight journal pages, quality, originality, relevance and clarity are the only criteria for selecting the papers to be published. ORL covers the broad field of optimization, stochastic models and game theory. Specific areas of interest include networks, routing, location, queueing, scheduling, inventory, reliability, and financial engineering. We wish to explore interfaces with other fields such as life sciences and health care, artificial intelligence and machine learning, energy distribution, and computational social sciences and humanities. Our traditional strength is in methodology, including theory, modelling, algorithms and computational studies. We also welcome novel applications and concise literature reviews.