{"title":"Participation in standardization and firm innovation performance: A polynomial regression with response surface analysis","authors":"Shanshan Wang , Jing Li , Tianyi Zhao","doi":"10.1016/j.jbusres.2025.115710","DOIUrl":null,"url":null,"abstract":"<div><div>Participation in standardization (PIS) is an effective means for firms to facilitate innovation. However, existing studies fail to incorporate the PIS characteristics of participation frequency and depth into different patterns to examine their differentiated effects on firm innovation performance. Based on knowledge-based theory (KBT), this study employs polynomial regression with response surface analysis to investigate the differentiated effects of four PIS patterns on firm innovation performance under knowledge recombination. The differentiated effects of the four PIS patterns stem from the variation in the amount of two types of knowledge that firms acquire via PIS. Moreover, two knowledge recombination behaviors, recombinant creation and reuse, moderate the relationship between PIS and firm innovation performance. This study enriches the research on PIS patterns and effects, adds new insights to the KBT and knowledge recombination literature, and provides guidance for firms to utilize PIS to improve innovation performance.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"201 ","pages":"Article 115710"},"PeriodicalIF":9.8000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296325005338","RegionNum":1,"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: 0
Abstract
Participation in standardization (PIS) is an effective means for firms to facilitate innovation. However, existing studies fail to incorporate the PIS characteristics of participation frequency and depth into different patterns to examine their differentiated effects on firm innovation performance. Based on knowledge-based theory (KBT), this study employs polynomial regression with response surface analysis to investigate the differentiated effects of four PIS patterns on firm innovation performance under knowledge recombination. The differentiated effects of the four PIS patterns stem from the variation in the amount of two types of knowledge that firms acquire via PIS. Moreover, two knowledge recombination behaviors, recombinant creation and reuse, moderate the relationship between PIS and firm innovation performance. This study enriches the research on PIS patterns and effects, adds new insights to the KBT and knowledge recombination literature, and provides guidance for firms to utilize PIS to improve innovation performance.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.