本研究旨在构建数据交易中心综合竞争力评估指标体系,以提升其市场竞争力、推动数字经济发展。本文采用了扎根理论和层次分析法,系统地构建出综合竞争力的评价框架,并识别出影响数据交易中心综合竞争力的关键因素。研究结果证实,所构建...本研究旨在构建数据交易中心综合竞争力评估指标体系,以提升其市场竞争力、推动数字经济发展。本文采用了扎根理论和层次分析法,系统地构建出综合竞争力的评价框架,并识别出影响数据交易中心综合竞争力的关键因素。研究结果证实,所构建的评价框架具有科学性和实用性,计算得出市场影响力、技术水平与经济效益是影响数据交易中心竞争力的主要因素,明确了这些要素在提升数据交易中心竞争力中的核心作用。基于以上发现,本研究进一步建议通过拓展和维护市场影响力、提升技术水平等措施来提高竞争力,确保在动态市场环境中保持竞争优势,从而促进数字经济的可持续发展。This study aims to construct a comprehensive competitiveness evaluation index system for data trading centers to enhance their market competitiveness and promote the development of the digital economy. Using grounded theory and the analytic hierarchy process (AHP), we systematically developed an evaluation framework for comprehensive competitiveness and identified key factors influencing the competitiveness of data trading centers. The research results confirm the scientific validity and practical applicability of the constructed evaluation framework, revealing that market influence, technological level, and economic benefits are the primary factors affecting the competitiveness of data trading centers. These elements play a pivotal role in improving competitiveness. Based on these findings, the study further suggests measures such as expanding and maintaining market influence and enhancing technological capabilities to improve competitiveness and ensure a competitive edge in a dynamic market environment, thereby contributing to the sustainable development of the digital economy.展开更多
文摘本研究旨在构建数据交易中心综合竞争力评估指标体系,以提升其市场竞争力、推动数字经济发展。本文采用了扎根理论和层次分析法,系统地构建出综合竞争力的评价框架,并识别出影响数据交易中心综合竞争力的关键因素。研究结果证实,所构建的评价框架具有科学性和实用性,计算得出市场影响力、技术水平与经济效益是影响数据交易中心竞争力的主要因素,明确了这些要素在提升数据交易中心竞争力中的核心作用。基于以上发现,本研究进一步建议通过拓展和维护市场影响力、提升技术水平等措施来提高竞争力,确保在动态市场环境中保持竞争优势,从而促进数字经济的可持续发展。This study aims to construct a comprehensive competitiveness evaluation index system for data trading centers to enhance their market competitiveness and promote the development of the digital economy. Using grounded theory and the analytic hierarchy process (AHP), we systematically developed an evaluation framework for comprehensive competitiveness and identified key factors influencing the competitiveness of data trading centers. The research results confirm the scientific validity and practical applicability of the constructed evaluation framework, revealing that market influence, technological level, and economic benefits are the primary factors affecting the competitiveness of data trading centers. These elements play a pivotal role in improving competitiveness. Based on these findings, the study further suggests measures such as expanding and maintaining market influence and enhancing technological capabilities to improve competitiveness and ensure a competitive edge in a dynamic market environment, thereby contributing to the sustainable development of the digital economy.
