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Evaluation of the Development Maturity of Emerging Industry of Energy Internet Based on Entropy Weight Matter-Element Model | IEEE Conference Publication | IEEE Xplore

Evaluation of the Development Maturity of Emerging Industry of Energy Internet Based on Entropy Weight Matter-Element Model


Abstract:

The emerging industry of energy Internet represents the direction of a new round of scientific and technological revolution and industrial change, and is the key to culti...Show More

Abstract:

The emerging industry of energy Internet represents the direction of a new round of scientific and technological revolution and industrial change, and is the key to cultivate new drivers of development and gain new competitive advantages in the future. Based on the connotation, development direction and features of the emerging industry, this study designs 11 second-level indicators from 5 dimensions, including operation ability, innovation ability, social benefits, ecological benefits and information development, and constructs an entropy weight matter-element model for the evaluation of emerging industries' development. In addition, according to the theory of industrial maturity, the development level of emerging industry is divided into five stages, namely, forming, initial, growth, maturity and maturity optimization. And a theoretical model of development maturity evaluation of emerging industry is constructed. Further, this study takes the indicators of energy + e-commerce industry in 2019 as an example to evaluate its development maturity. The results show that the development maturity of the industry in 2019 is in the growth stage, and the fixed asset investment and information level of core business need to be further improved. The research model in this study provides a certain research basis for the development maturity of emerging industry of energy Internet.
Date of Conference: 18-20 December 2021
Date Added to IEEE Xplore: 26 January 2022
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Conference Location: Shanghai, China

I. Introduction

The evaluation of industrial maturity is a hierarchical evaluation method, which can realize the evaluation and analysis of the life cycle, growth stage or development process of the research problem [1]. Subsequently, maturity evaluation has been widely applied to the energy Internet industry. For example, Sun Xudong (2017) re-elaborated the definition of industrial products by taking advantage of the differences between and transformation and traditional industrial manufacturing, and established the evaluation indicator system of industrial maturity in the energy field from the perspective of multi-technology and multi-product [2]. It can be seen from the literatures that the previous researches mainly focused on the indicators of the development evaluation of the energy Internet industry [3], [4], while the specific evaluation on the development of its emerging industry and special features was relatively lacking. These evaluation methods mainly adopt a combination of Delphi Method, Rough Set and Factor Analysis, Analytic Hierarchy Process and Principal Component Analysis, Interpretative Structure Model, Entropy Weight Method or Fuzzy Evaluation Method [5]–[7], which can provide a relatively reasonable evaluation system and evaluation results. However, the researches of the intermediate state and dynamic trend of the transformation of the emerging industry to a certain maturity level remains to be further explored [8]. In fact, the emerging industry of energy Internet is an open and complex ecosystem, and the complexity brought by many components and their interactions increases the difficulty in the construction and evaluation [9]. Entropy weight method helps to improve the objectivity of the evaluation indicators and weights, and the matter-element model considering higher dimensional incompatible indicators [10]. Therefore, establishing a matter-element model to explore the mechanism of development is reasonable for the evaluation of emerging industry. It is helpful to improve reliability and objectivity of evaluation results.

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