Idea evaluation in open, “democratized” innovation

拟议的研究计划侧重于对新产品或新工艺的想法进行评估。在对创意的关注之后，创意评价的重要性在研究和实践中越来越受到重视。任何组织创新的模式，只有在有效地审查想法，最终选择最好的想法来实施，才能取得成功。到目前为止，一些论文研究了组织中的想法评估，特别关注想法评估偏差以及如何消除它们。该研究项目旨在揭示想法评估偏见的新来源，并解释机制，主持人和后果。在两个项目中，我们调查潜在的偏见所产生的相对等级地位，社会关系，和社会比较的想法创造者和评估者。第三个项目研究了代理商是否会首先选择贡献想法评估的新前提。第四个项目研究了创意评价，特别是负面评价，对创意创造者未来参与的影响。 该研究计划分析了在企业内部和外部的创新社区的背景下，在客户领域的想法评估。原因有两个：第一，在这样的背景下，观念评价是直接可观察的。例如，在企业众筹中，员工将资金分配给同事提出的想法，从而明确表示他们的支持。第二，背景本身也很有趣，因为“开放式评估”可以帮助企业科普开放式创新社区产生的大量想法。该研究项目使用了来自这些社区（例如西门子、Hyve和汉莎航空系统）的大量档案数据，并结合其他公司的数据、调查和实验室实验。作为一项规则，该方法是假设演绎的。拟议的计划可以作出独特的，多管齐下，创新的贡献，研究和实践。它跨越了管理学和经济学之间的学科边界，利用了申请人在这两个领域的嵌入性。它建立在，并寻求有助于，在管理思想评价和开放式创新的文献，并在经济学中的公共产品的私人提供。对于想法评估文献，它通过识别评估偏差的新来源，揭示其偶然性，并揭示评估对未来参与的后果来做出贡献。对开放式创新文献的贡献在于阐明了开放式创新平台评价体系的有效设计。最后，将管理学研究的结果转化为经济学，其中选择性利益是推动私人对数字公共产品（例如创新社区）贡献的关键因素，我们将动态mcpr（人均边际回报）概念化并进行测试。这开辟了一个新的调查方向，包括数字时代公共产品供应的关键原则。

The proposed research program focuses on the evaluation of ideas for new products or processes. After much focus on idea creation, the importance of idea evaluation is increasingly recognized in research and practice. Any mode of organizing for innovation can only succeed if ideas are effectively vetted such that ultimately the best ideas are selected for implementation.To date, a few papers investigate idea evaluation in organizations, with particular focus on idea evaluation biases and how to counteract them. This research program seeks to uncover new sources of idea evaluation bias and explain mechanisms, moderators, and consequences. In two projects, we investigate potential biases produced by the relative hierarchical position, social ties, and social comparison between idea creators and evaluators. The third project examines new antecedents of whether agents will select into contributing idea evaluations in the first place. The fourth project investigates the consequences of idea evaluation, particularly negative evaluation, on idea creators’ future engagement. The research program analyzes idea evaluation in the context of innovation communities both inside firms and outside, in the customer domain. The reasons are twofold: First, idea evaluations are directly observable in such contexts. E.g. in enterprise crowdfunding, employees allocate funds to ideas advanced by their colleagues, thus making their endorsement explicit. Second, the context is interesting per se, as "open Evaluation" can help companies cope with the flood of ideas created in open innovation communities.The research program uses large quantities of archival data from such communities (e.g. at Siemens, Hyve, and Lufthansa Systems) combined with other firm data, surveys and lab experiments. As a rule, the approach is hypothetico-deductive.The proposed program can make a unique, multi¬pronged, innovative contribution to research and practice. It spans the disciplinary boundary between management and economics, leveraging the applicant’s embeddedness in both domains. It builds on, and seeks to contribute to, the literatures on idea evaluation and open innovation in management, and the private provisioning of public goods in economics. To the idea evaluation literature, it contributes by identifying new sources of evaluation bias, uncovering their contingencies, and revealing the consequences of evaluation on future engagement. To the open innovation literature, it contributes by elucidating the effectual design of evaluation systems on open innovation platforms. Finally, translating findings from management research whereby selective benefits crucially drive private contributions to digital public goods (e.g. innovation communities) to economics, we conceptualize and test the idea of dynamic mpcr (marginal per capita return). This opens a new direction of inquiry embracing key principles of public goods provisioning in the digital age.