农业企业采纳大数据技术影响因素研究——基于ISM模型的实证分析

Influence Factors of Big Data Technology Adoption of Agricultural Enterprises：An Empirical Analysis Based on ISM Model

摘要:

为提升大数据技术在农业领域的应用深度与广度，进一步挖掘农业数据资源，推动农业供给侧改革。基于189份农业企业调研数据，运用ISM模型，分析了农业企业采纳大数据技术影响因素及其关联关系与递阶层次结构。提出加大技术的研发力度，提高核心设备和技术的自主知识产权水平，加强大数据技术产业协作，培养企业数据管理意识与大数据技术型人才，加强大数据技术公共示范工程的宣传作用等对策建议。

Abstract:

In order to improve the application depth and breadth of big data technology in the agricultural field, mine agricultural data resources and promote the supply side reform of agriculture, this paper uses ISM model to analyze the influencing factors of big data technology adopted by agricultural enterprises, their relationship and hierarchical structure based on the survey data of 189 agricultural enterprises. Some suggestions are put forward, for example: strengthen the development of technology, improve the level of independent intellectual property rights of core equipment and technology, strengthen the cooperation of big data technology industry, cultivate the awareness of enterprise data management and big data technology talents, and strengthen the publicity role of big data technology public demonstration project.