利他主义还是精明的商业?技术开放对创新和竞争的影响

MIS Q. Pub Date : 2020-09-01 DOI:10.25300/MISQ/2020/14589
He Huang, Geoffrey G. Parker, Y. Tan, Hongyan Xu
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引用次数: 11

摘要

在当今竞争激烈的商业环境中,越来越多的高科技公司正在开放他们的技术。我们探讨了这种不寻常的分享行为背后的基本原理,以了解它是利他主义还是精明的商业举动。本文构建了一个分析模型,其中竞争企业可以选择技术开放、原型释放或技术封闭作为技术开放策略,并对所采用的技术进行后续创新。与关注需求侧的文献不同,我们的研究通过揭示供给侧的两种影响,揭示了一种新的解释。首先,开放性产生了一种信息效应,通过这种效应,它向竞争对手揭示了技术信息。其次,开放也可能导致获取效应,竞争对手可能通过努力学习而成为“模仿者”。我们的分析表明,企业的开放决策取决于这两种效应之间的权衡,而这种相互作用受到学习成本的调节。研究发现,在一定条件下,共享技术可以缓解成本高昂的创新竞争。更重要的是,我们的研究结果表明,开放并不一定会像传统观点所认为的那样转化为更高的创新和更大的消费者剩余。我们还说明了基本原理的鲁棒性,并通过几个扩展模型丰富了我们的发现。
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Altruism or Shrewd Business? Implications of Technology Openness on Innovations and Competition
In today’s highly competitive business environment, a growing number of high-tech firms are opening their technologies. We explore the rationale behind this unusual sharing behavior in order to understand whether it is altruism or a shrewd business move. We construct an analytical model where competing firms can choose technology openness, prototype release, or technology closedness as the technology openness strategy and make subsequent innovations on the adopted technology. In contrast to literature focusing on the demand side, our study reveals a novel explanation by shedding light on two effects of supply side. First, openness generates an information effect through which it reveals technology information to the competitor. Second, openness might also lead to an access effect in which the competitor might become a “copycat” by exerting a learning effort. Our analysis suggests that a firm’s openness decision depends upon the tradeoff between both effects, and the interplay is moderated by the learning costs. We find that sharing technology can alleviate costly innovation competition under certain conditions. More importantly, our results reveal that openness does not necessarily translate to higher innovation and greater consumer surplus as conventional wisdom suggests. We also illustrate the robustness of the basic rationale and enrich our findings through several extended models.
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