Evaluation of Knowledge Absorptive Capability of Enterprise Based on Entropy Weights and Interval TOPSIS

Guo Zheng Zhang; Song Zheng Zhao; Ju Ran Ru Wang

doi:10.4028/www.scientific.net/AMR.998-999.1661

Paper Titles

The Pathway Analysis on Benefit of Agricultural Science and Technology Projects (ASTP) Based on Logical Framework Approach
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The Study of SO₂ Emissions Embodied in International Trade of China
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Total Factor Productivity and Convergence of Port Logistics with Tianjin Port
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The Design and Implementation of the Stadium Safety Evacuation System
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Evaluation of Knowledge Absorptive Capability of Enterprise Based on Entropy Weights and Interval TOPSIS
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Research on the Design and Realization of Management Information System of Enterprise Risk Assessment
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Combination Weighting Method Based on Generalized Mahalanobis Distance and Weighting Relative Entropy
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Research on the Risk Assessment for the Construction Safety in the Planning and Design Stages of Bridge Engineering
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Evaluation of Knowledge Absorptive Capability of...

Evaluation of Knowledge Absorptive Capability of Enterprise Based on Entropy Weights and Interval TOPSIS

Abstract:

The processes for absorbing knowledge become an essential element for innovation and competitiveness in enterprises. Despite the huge growth in the absorptive capacity literature, a method gap still remains about a certain ambiguity in the measurement of the construct specifying its theoretical domain. The aim of this paper is to contribute to the research on absorptive capacity through the construction of four aspects, based on a thorough analysis of the literature and field research, to measure the key components of the absorptive capacity construct: acquisition capacity, assimilation capacity, transformation capacity and application capacity. The evaluation model based on entropy weights and interval TOPSIS is established which focuses on measuring absorptive capacity. The practical case study is conducted to illustrate the application of the proposed method for the knowledge absorptive capacity and verify effectiveness and feasibility.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1661-1665

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.1661

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Online since:

July 2014

Authors:

Guo Zheng Zhang, Song Zheng Zhao, Ju Ran Ru Wang

Keywords:

Absorptive Capability, Entropy Weights, Interval TOPSIS, Knowledge

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