This study aims to investigate the missing links in open eco‐innovation by focusing on the following questions, which existing studies have limited attention in the existing literature: (1) Given the level of breadth and depth of a firm's open eco‐innovation, how can open innovation types be distinguished? (2) In what way does the open innovation type differ in implementing an open eco‐innovation strategy? and (3) How do open innovation strategic differences affect green innovation performance? Drawing upon the knowledge‐based view and dynamic capability perspective, this study provides theoretical grounds for a firm's breadth and depth of an open eco‐innovation strategy. It suggests a 2 2 resource recombination framework to differentiate between four open innovation types for green innovation: Maverick, Best friend, True, and Cherry‐picker. Using data from 2496 manufacturing firms in South Korea, we applied a k‐means cluster analysis to generate four groups and conducted regression analyses to confirm hypotheses. Our findings supported the influence of open innovation type on strategic orientation; however, the effect was not observed in Best Friend. Additionally, ambidextrous strategic orientation significantly influenced green innovation compared to either exploitative or explorative strategic orientations.

中文翻译：

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开放生态创新的资源重组视角：开放创新类型、战略导向与绿色创新


本研究旨在通过关注以下问题来调查开放式生态创新中缺失的环节，而现有研究在现有文献中对这些问题的关注有限：（1）鉴于企业开放式生态创新的广度和深度水平，如何开放式创新类型能否区分？ （2）开放式创新类型在实施开放式生态创新战略方面有何不同？ （3）开放式创新战略差异如何影响绿色创新绩效？本研究借鉴基于知识的观点和动态能力的观点，为企业开放式生态创新战略的广度和深度提供了理论基础。它提出了一个 2 2 资源重组框架来区分绿色创新的四种开放创新类型：Maverick、Bestfriend、True 和 Cherry-picker。我们利用韩国 2496 家制造企业的数据，应用 k 均值聚类分析生成四组，并进行回归分析以证实假设。我们的研究结果支持了开放式创新类型对战略导向的影响；然而，在《Best Friend》中却没有观察到这种效果。此外，与利用性或探索性战略方向相比，双元战略方向显着影响绿色创新。