Innovation evaluation framework using state transition probability of the product

K. Jinzenji, Akio Jin, Tatsuya Muramoto
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Abstract

In the age of digital disruption, coming up with continuous innovation has become a major challenge. The first step to overcoming this challenge is to understand the current state of the innovation activities with reference to customer value. We propose an innovation evaluation framework using the state transition probability of a product. This framework not only provides cost and delivery efficiency in terms of customer contribution, but also provides the innovation characteristics of the enterprise. We applied the proposed framework to software products of FY 2018 and found that the average product had a 14% probability of being added to a service within one year of starting development and that 28% of the development costs contributed to customer value. We also uncovered various structural issues in the innovation process. These findings are consistent with our intuitive impressions, thus demonstrating the effectiveness of the proposed framework as a means of grasping the status quo.
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基于产品状态转移概率的创新评价框架
在数字颠覆时代,持续创新已成为一项重大挑战。克服这一挑战的第一步是根据客户价值了解创新活动的当前状态。我们提出了一个利用产品状态转移概率的创新评估框架。该框架不仅提供了客户贡献方面的成本和交付效率,而且提供了企业的创新特征。我们将提出的框架应用于2018财年的软件产品,发现产品在开始开发的一年内平均有14%的可能性被添加到服务中,28%的开发成本有助于客户价值。我们还发现了创新过程中的各种结构性问题。这些发现与我们的直觉印象一致,从而证明了所提出的框架作为一种掌握现状的手段的有效性。
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