Abstract: This study focuses on the field of performance evaluation of sharing economy enterprises, and aims to provide an effective performance evaluation method for sharing economy enterprises by constructing a scientific and reasonable performance evaluation system. With the vigorous development of the sharing economy in China, the number of sharing economy enterprises has surged, covering clothing, food, housing, transportation, health, knowledge education and life services and other fields. However, some sharing economy enterprises are facing the risk of poor performance or even bankruptcy in the rapid development, so it is particularly important to scientifically evaluate their performance.
In this study, we refer to Osterwalder’s business model theory and combine the research results of LIU Yanan(2017) on the performance of sharing economy enterprises to preliminarily screen out multiple indicators that affect the performance of sharing economy enterprises. Through interviews and questionnaire surveys with senior leaders, this study further refines the indicators into two categories: product factors and enterprise quality credit factors, and determines specific indicators including product life cycle, environmental protection degree, user rating, financing ability, cost management ability, technological innovation, number of awards, executive breach of trust record and contract performance ability.
In terms of determining the weight of the indicators, this study innovates the existing methods. In view of the shortcomings of the traditional single weight determination method, this study proposes a new method that combines subjective weight determination methods (such as the expert investigation method, analytic hierarchy process, and decision laboratory method) with objective weight determination methods (such as the entropy weight method and correlation function method). By calculating the similarity of the weight ranking results under each method, the optimal combination of subjective and objective weights is determined by using the angle cosine method, so as to improve the accuracy and reliability of weight determination.
In order to verify the feasibility of the proposed method, this study takes the “LD Technology” shared power bank enterprise in the big data credit network as an example, and conducts an empirical analysis. By collecting the index data of the enterprise and combining the fuzzy comprehensive evaluation model, the performance level of the enterprise is comprehensively evaluated. The evaluation results show that the performance level of “LD Technology” is good, but there is still some room for improvement, especially in terms of financing ability, user rating and performance ability.
The contributions of this study are: First, to construct a set of performance evaluation system that adapts to the characteristics of sharing economy enterprises. Second, an improved index weight determination method is proposed, which has improved the accuracy and scientificity of performance evaluation. Third, the feasibility and effectiveness of the proposed method are verified through an empirical analysis, which provides new ideas and methods for the performance evaluation of sharing economy enterprises.
However, there are some limitations in this study, such that the construction of the indicator system may not be comprehensive, and the selection of weight determination methods may be limited by the sample data and research conditions. Future research can further refine the indicators, optimize the weighting method, and expand the scope of an empirical analysis to improve the scientificity and applicability of the research. At the same time, with the continuous development of the sharing economy, the performance evaluation methods and systems also need to be constantly updated and improved to adapt to the new market environment and enterprise needs.

Key words: weight combinations, sharing economy enterprises, performance evaluation, fuzzy comprehensive evaluation method

摘要： 本文研究了共享经济企业绩效评价,针对当前共享经济企业快速发展但部分绩效不佳的现状,构建了共享经济企业绩效评价体系。通过借鉴前人研究成果及与企业高层访谈,筛选出产品指标和企业质量信用指标两大类共25个初选指标,并经过问卷调查和隶属度分析,最终确定了包括产品生命周期、环保程度、用户评分等8个关键指标。在权重确定方面,本文借助统计学中n维数组的相似性思想,对权重的综合确定方法进行改进,创新性地提出了将主、客观权重确定方法非线性组合的新思路,采用夹角余弦法评估各方法间的相似性,并通过Matlab编程实现权重计算,主、客观方法的非线性组合更能反应指标的真实权重。实证分析以“LD科技”为例,采用模糊综合评价法分析该企业的绩效水平,并指出了融资能力、用户评分和履约能力为关键影响因素。本文提出的绩效评价体系对共享经济企业绩效研究具有适用性,为提升共享经济企业绩效水平提供了有效方法。

关键词: 权重组合, 共享经济企业, 绩效评价, 模糊综合评价法