Abstract
This paper uses a multidimensional big data matrix model to optimize the analysis and conduct a systematic construction of the enterprise performance evaluation system. The adoption of new research methods and perspectives to promote the study of the use of performance information is of great significance to achieve the effectiveness, science, and sustainability of corporate performance management. To solve the problem of objectivity and scientificity of performance information use, this part attempts to analyze performance information use from the perspective of the multidimensional big data matrix, focusing on the techniques and methods in the process of promoting performance information use from the multidimensional big data matrix and tries to construct a system model of enterprise performance information use from two dimensions: the use of performance information sources and the use of performance information results. Based on multiple theoretical hypotheses, a theoretical and empirical basis is provided for the division of demand dimensions of enterprise performance evaluation system. Through social capital theory, three dimensions of network social capital, cognitive social capital, and structural social capital are hypothesized, and the logistic regression method is applied for empirical study. The results show that these three dimensions have significant effects on the knowledge demand of enterprise performance evaluation systems. It is verified that the multidimensional big data matrix can enhance the quality of performance information sources and improve the objectivity of performance information. In the performance information source use dimension, the analysis verified that the collection and preprocessing technology of big data can realize the automation, real-time, and diversification of information collection and preprocessing, and enhance the objectivity of performance information. Big data helps to improve the quality and effectiveness of performance information results use. In the dimension of using performance information results, the distributed computing and analysis processing technology of big data can assist the decision support system, and the use of information can be shifted from micromanagement to decision support, to realize the scientific use of performance information and improve the quality of enterprise management decisions.
Highlights
The importance of research on corporate performance management and related topics has received continued academic attention
Corporate performance management, which draws on the methods of business administration, is a new administrative model developed from the Western New Public Management
The academic research results of corporate performance management have been on a growing trend in the last decade or so
Summary
The importance of research on corporate performance management and related topics has received continued academic attention. How to use big data to collect, organize and analyze macro- and microeconomic information to help realize company strategy, promote management level, and make the enterprise invincible in the fierce market competition has become a new issue. The staff and job settings and work processes of the appraisal team in the context of big data are very different from the previous ones. Their main work tasks are real estate data mining, database management, and updating, data platform development and construction, network maintenance, and promotion and aftersales of data products. In the context of big data, the strategic objectives of enterprises have changed a lot, shifting from the original traditional assessment method to the direction of data platform assessment. The scientific and systematic performance management system can clarify the development direction of the company and the competition between teams, which can greatly improve the work efficiency, and let the employees see that they will get the corresponding reasonable compensation for their hard work, so that they can stimulate their work enthusiasm, continuously improve their workability, and contribute to the further development of the company
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