Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator

Abstract

In order to clarify the achievement and efficiency of enterprise learning in the process of cooperative innovation, a comprehensive criteria framework for the evaluation of enterprise learning performance is constructed taking the learning process and learning results as the construction idea based on organizational learning theory. And this paper proposes a novel dynamic evaluation method considering the interaction between attributes of learning performance. In this study, the criterion framework for the evaluation of enterprise learning performance in the process of cooperative innovation includes learning process performance and learning outcomes performance. The original matrices are given by managers and experts using fuzzy set theory, and a dynamic time sequence weight vector is calculated based on information entropy and time degree. The weight of learning performance attributes under different time series is calculated based on entropy measure method. The interactive information of learning performance attributes is integrated through the weight of learning performance attributes and the three-parameter weighted Heronian mean operator considering the interaction between attributes. And then, the dynamic and comprehensive evaluation result of learning performance in the process of cooperative innovation could be computed by integrating the learning performance information under different time series with time sequence weight vector. Finally, a real case is studied to verify the scientificity and validity of the criteria framework for the evaluation of enterprise learning performance and the method proposed in this study. This study not only helps cooperative enterprises get feedback in time and adjust cooperative relationships and learning styles but also enriches the theory of interorganizational management and provides a theoretical basis for the process of enterprise cooperative innovation.

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“…Technological innovation in processes can replace labor by improving capital efficiency, thereby increasing labor productivity and reducing the cost per unit of product; it may also lead to significant reductions in material and energy consumption, reduce pollution and noise, improve the working environment, and reduce damage to the environment; in addition, technological innovations may improve product quality and shorten the production cycle or delivery time (Rybárová et al, 2021). These economic and social benefits resulting from process technology innovation are extremely significant, but the difficulty of obtaining raw data makes it difficult for these contributions to be adequately captured by current evaluation systems (Yin and Li, 2019).…”

Digital Financial Development and Corporate Innovation

“…Technological innovation in processes can replace labor by improving capital efficiency, thereby increasing labor productivity and reducing the cost per unit of product; it may also lead to significant reductions in material and energy consumption, reduce pollution and noise, improve the working environment, and reduce damage to the environment; in addition, technological innovations may improve product quality and shorten the production cycle or delivery time (Rybárová et al, 2021). These economic and social benefits resulting from process technology innovation are extremely significant, but the difficulty of obtaining raw data makes it difficult for these contributions to be adequately captured by current evaluation systems (Yin and Li, 2019).…”