Spillover effects of interactions on user innovation: Evidence from a firm-hosted open innovation platform

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management Pub Date : 2024-03-09 DOI:10.1016/j.im.2024.103947

Jiacheng Zhang , Guijie Qi , Kangning Wei , Jiali Chen

{"title":"Spillover effects of interactions on user innovation: Evidence from a firm-hosted open innovation platform","authors":"Jiacheng Zhang , Guijie Qi , Kangning Wei , Jiali Chen","doi":"10.1016/j.im.2024.103947","DOIUrl":null,"url":null,"abstract":"<div><p>Firm-hosted open innovation platforms (OIPs) enable multidirectional communication and interaction among users, and they have become a vital IT artifact that absorbs external resources for enterprise innovation. A key challenge for OIPs is how to motivate users’ idea contributions. The support community appears as a Q&A section in a few OIPs, in which the special role of user behavior on individuals’ idea contribution is understudied. Based on a theoretical synthesis of innovation management studies, we propose hypotheses regarding the spillover effects of user interactions in a support community (i.e., help giving and help seeking) on individuals’ innovation performance (i.e., the quantity and quality of ideas). Using a dataset from a typical OIP, we employ two empirical studies to investigate the spillover effects of user interactions and their characteristics, including breadth and depth, on innovation performance. Our results confirm the existence of spillover effects and reveal a positive effect of interaction breadth and a nonlinear effect of interaction depth on innovation. Notably, the nonlinear relationship can be moderated by the interaction breadth. Our findings provide both theoretical and practical implications for user innovation and OIP operations.</p></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":null,"pages":null},"PeriodicalIF":8.2000,"publicationDate":"2024-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378720624000296","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

Firm-hosted open innovation platforms (OIPs) enable multidirectional communication and interaction among users, and they have become a vital IT artifact that absorbs external resources for enterprise innovation. A key challenge for OIPs is how to motivate users’ idea contributions. The support community appears as a Q&A section in a few OIPs, in which the special role of user behavior on individuals’ idea contribution is understudied. Based on a theoretical synthesis of innovation management studies, we propose hypotheses regarding the spillover effects of user interactions in a support community (i.e., help giving and help seeking) on individuals’ innovation performance (i.e., the quantity and quality of ideas). Using a dataset from a typical OIP, we employ two empirical studies to investigate the spillover effects of user interactions and their characteristics, including breadth and depth, on innovation performance. Our results confirm the existence of spillover effects and reveal a positive effect of interaction breadth and a nonlinear effect of interaction depth on innovation. Notably, the nonlinear relationship can be moderated by the interaction breadth. Our findings provide both theoretical and practical implications for user innovation and OIP operations.

查看原文本刊更多论文

互动对用户创新的溢出效应：来自公司托管的开放式创新平台的证据

由企业托管的开放式创新平台（OIPs）能够实现用户之间的多向交流和互动，并已成为吸纳外部资源促进企业创新的重要信息技术工具。如何激励用户贡献创意是开放创新平台面临的一个关键挑战。支持社区作为问答板块出现在少数 OIP 中，其中用户行为对个人创意贡献的特殊作用研究不足。基于对创新管理研究的理论综述，我们提出了关于支持社区中用户互动（即给予帮助和寻求帮助）对个人创新绩效（即创意的数量和质量）的溢出效应的假设。我们利用一个典型 OIP 的数据集，通过两项实证研究来探讨用户互动及其特征（包括广度和深度）对创新绩效的溢出效应。我们的研究结果证实了溢出效应的存在，并揭示了互动广度对创新的积极影响和互动深度对创新的非线性影响。值得注意的是，非线性关系会受到互动广度的调节。我们的研究结果为用户创新和 OIP 运营提供了理论和实践意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Information & Management 工程技术-计算机：信息系统

CiteScore

17.90

自引率

6.10%

发文量

123

审稿时长

1 months

期刊介绍： Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.