{"title":"技术多元化对创新绩效的影响:基于代理视角的调节效应","authors":"Xinrui Zhan, Yunqing Liu, Xingxin Zhao","doi":"10.1002/mde.4495","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>In the rapidly advancing digital era, technological diversification (TD) emerges as a pivotal strategy to enhance firms' innovation performance. This study explores the nonlinear dynamics of TD and innovation performance, positing an inverted U-shaped relationship and examining the moderating effects of governance mechanisms—management shareholding, board size, board meeting frequency, and analyst coverage—from the perspectives of incentive mechanism design, internal control, and external regulation. Using a comprehensive panel dataset of 11,036 firm-year observations from 1438 Chinese listed manufacturers (2012–2020), we employ Tobit regression to validate our hypotheses. Our findings confirm the inverted U-shaped relationship between TD and innovation performance, which is significantly moderated by governance mechanisms that mitigate agency costs. The results withstand a battery of robustness checks and address endogeneity concerns. By integrating agency theory into the analysis of TD, this study provides a novel perspective and actionable strategies for firms to optimize TD within sustainable boundaries, ultimately achieving long-term innovation growth.</p>\n </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 5","pages":"2726-2745"},"PeriodicalIF":2.5000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Technological Diversification on Innovation Performance: The Moderating Effects From an Agency Perspective\",\"authors\":\"Xinrui Zhan, Yunqing Liu, Xingxin Zhao\",\"doi\":\"10.1002/mde.4495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>In the rapidly advancing digital era, technological diversification (TD) emerges as a pivotal strategy to enhance firms' innovation performance. This study explores the nonlinear dynamics of TD and innovation performance, positing an inverted U-shaped relationship and examining the moderating effects of governance mechanisms—management shareholding, board size, board meeting frequency, and analyst coverage—from the perspectives of incentive mechanism design, internal control, and external regulation. Using a comprehensive panel dataset of 11,036 firm-year observations from 1438 Chinese listed manufacturers (2012–2020), we employ Tobit regression to validate our hypotheses. Our findings confirm the inverted U-shaped relationship between TD and innovation performance, which is significantly moderated by governance mechanisms that mitigate agency costs. The results withstand a battery of robustness checks and address endogeneity concerns. By integrating agency theory into the analysis of TD, this study provides a novel perspective and actionable strategies for firms to optimize TD within sustainable boundaries, ultimately achieving long-term innovation growth.</p>\\n </div>\",\"PeriodicalId\":18186,\"journal\":{\"name\":\"Managerial and Decision Economics\",\"volume\":\"46 5\",\"pages\":\"2726-2745\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Managerial and Decision Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/mde.4495\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Managerial and Decision Economics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mde.4495","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
The Impact of Technological Diversification on Innovation Performance: The Moderating Effects From an Agency Perspective
In the rapidly advancing digital era, technological diversification (TD) emerges as a pivotal strategy to enhance firms' innovation performance. This study explores the nonlinear dynamics of TD and innovation performance, positing an inverted U-shaped relationship and examining the moderating effects of governance mechanisms—management shareholding, board size, board meeting frequency, and analyst coverage—from the perspectives of incentive mechanism design, internal control, and external regulation. Using a comprehensive panel dataset of 11,036 firm-year observations from 1438 Chinese listed manufacturers (2012–2020), we employ Tobit regression to validate our hypotheses. Our findings confirm the inverted U-shaped relationship between TD and innovation performance, which is significantly moderated by governance mechanisms that mitigate agency costs. The results withstand a battery of robustness checks and address endogeneity concerns. By integrating agency theory into the analysis of TD, this study provides a novel perspective and actionable strategies for firms to optimize TD within sustainable boundaries, ultimately achieving long-term innovation growth.
期刊介绍:
Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.