不确定性条件下的开放创新测度:一种模糊逻辑方法

IF 3.7 3区 管理学 Q2 BUSINESS
Ernesto Mastrocinque , Emilia Lamberti , F. Javier Ramirez , Dobrila Petrovic
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引用次数: 9

摘要

近年来,无论是在学术界还是工业界,开放式创新都受到了越来越多的关注。目前,评估公司创新过程的开放程度具有很大的挑战性,因为在评估过程中涉及许多定性和定量因素,测量单位不同。此外,开放式创新评估过程存在模糊性和不确定性。本文在全面回顾开放式创新文献的基础上,采用开放式创新评估的整体方法,开发了一种基于模块化模糊规则的开放式创新评估系统,以帮助管理者对企业的开放性进行评估。该系统允许决策者通过提供19个输入变量来评估企业的开放式创新水平。然后,系统通过231条规则对信息进行处理,以计算子维度、维度、构建块,最后计算开放式创新的总程度。此外,还使用数值示例和两家公司的两个实际案例研究对所提出的系统进行了测试。结果表明,该系统能够评估不同场景下的开放式创新,使决策者能够确定优势和劣势领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring open innovation under uncertainty: A fuzzy logic approach

Open innovation has received growing interest in recent years, both in academia and industry. Currently, assessing the degree of openness of a company’s innovation process can be highly challenging due to many qualitative and quantitative factors with different units of measurements involved in the evaluation process. Moreover, the open innovation assessment process is affected by vagueness and uncertainty. In this paper, starting from a thorough review of the open innovation literature and following a holistic approach to open innovation assessment, a novel modular fuzzy rule based system is developed in order to help managers to evaluate the openness of their company. The proposed system allows the decision maker to assess the open innovation level of the firm by providing 19 input variables. The information is then processed by the system through 231 rules in order to compute sub-dimensions, dimensions, building blocks and finally the total degree of open innovation. Furthermore, the proposed system was tested using numerical examples and two real-world case studies of two companies. The results showed the capability of the system to assess open innovation in different scenarios, allowing the decision maker to identify the areas with strengths and weaknesses.

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来源期刊
CiteScore
8.00
自引率
6.20%
发文量
29
审稿时长
>12 weeks
期刊介绍: The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management. The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning. The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.
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