大数据背景下网络中介公司逆向施诊研究

发布时间：2018-09-18 16:30

【摘要】：随着全球网络与信息技术的快速发展,企业诊断的方法和模式不断突破与创新,“大数据”时代的到来,进一步加速了企业间的相互竞争,这对企业提出了新的要求,与此同时也为企业诊断行业带来了新的机遇与挑战。本文在归纳整理企业诊断理论、关键成功因素理论、中介理论、逆向施诊理论以及大数据理论相关文献和研究成果的基础上,在大数据的背景下对网络中介公司进行逆向施诊研究。文章以网络中介公司为研究对象,在大数据的背景下,针对网络中介公司逆向施诊流程的数据进行分析,将逆向施诊数据分为三个维度:基本维度、调节维度、宽泛维度。根据对三个维度数据的分析,在大数据技术的应用下有效挖掘和提取了最终消费者的需求,提升了逆向施诊方案的可行性和有效性。与此同时在三个数据维度的基础上搭建了大数据背景下的逆向施诊流程,并对网络中介公司关键成功因素进行分析,利用文献归纳法、德尔菲法和层次分析法设计大数据背景下网络中介公司逆向施诊关键成功因素模型,并确定了网络中介公司的逆向施诊关键成功因素。文章最后,以房地产网络中介A公司为例,首先针对A公司逆向施诊的三个维度数据进行分析,其次搭建了适合A公司的逆向施诊流程,最后结合大数据背景下网络中介公司逆向施诊关键成功因素确定A公司的施诊主题,并分析了针对问题的解决方案。
[Abstract]:With the rapid development of global network and information technology, the methods and modes of enterprise diagnosis are constantly breaking through and innovating. The arrival of "big data" era has further accelerated the competition among enterprises, which puts forward new requirements for enterprises. At the same time, it also brings new opportunities and challenges for the enterprise diagnosis industry. On the basis of summing up the theories of enterprise diagnosis, key success factors, intermediary theory, reverse diagnosis theory, and big data's theory, this paper summarizes the relevant literature and research results. Under big data's background, carries on the reverse diagnosis research to the network intermediary company. This article takes the network intermediary company as the research object, under the big data background, carries on the analysis to the network intermediary company reverse diagnosis process data, divides the reverse diagnosis data into three dimensions: basic dimension, adjustment dimension, broad dimension. According to the analysis of three dimension data, the application of big data technology can effectively mine and extract the final consumer's demand, and improve the feasibility and effectiveness of the reverse diagnosis scheme. At the same time, on the basis of three data dimensions, the reverse diagnosis process under the background of big data is set up, and the key success factors of the network intermediary company are analyzed, and the literature induction method is used. Delphi method and Analytic hierarchy process (AHP) are used to design the critical success factors model of reverse diagnosis of network intermediary companies under the background of big data, and the key success factors of reverse diagnosis of network intermediary companies are determined. Finally, taking the real estate network intermediary A company as an example, the paper firstly analyzes the three dimension data of A company reverse diagnosis, and then builds the reverse diagnosis process suitable for A company. Finally, combined with big data background, the key success factors of reverse diagnosis of network intermediary company to determine the theme of A company, and analyze the solution to the problem.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F724.6

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