Evaluation and research on financial competitiveness of innovation-driven enterprises based on interval data mining

• Main Authors: Lv, Wenwen, Abdul Salam, Zarina
• Format: Article
• Published: World Scientific 2020
• Subjects: HB Economic Theory
• Online Access: http://eprints.utm.my/id/eprint/93384/; http://dx.doi.org/10.1142/S0218001420590405

By studying the issue of evaluating the financial competitiveness of innovation-driven enterprises, the author proposed a new financial competitiveness evaluation method based on interval data mining. First, in order to effectively utilize the evaluation information that is provided by experts, the author suggested that the 95% confidence interval of the expert group’s evaluation information should be used as the interval evaluation data. Hence, the uncertainty of the evaluation process was effectively reduced, and the reliability of the evaluation results was improved. Then, empirical analysis was conducted on the financial competitiveness of an innovation-driven enterprise and its competitors using the interval data as the mining object, and a financial competitiveness evaluation method was given. The financial competitiveness level of this innovation-driven enterprise was analyzed according to the influence factors and overall situations, and suggestions to improve the innovation-driven enterprise’s financial competitiveness were provided in a targeted way. Finally, a discussion was made on how to strengthen the financial competitiveness of the innovation-driven enterprise with respect to five aspects.