农业部门智能信息技术采纳的影响因素及路径研究

郑谦; 梁昌勇; 赵伟峰

doi:10.3969/j.issn.1004-390X(s).2018.05.004

农业部门智能信息技术采纳的影响因素及路径研究

1.
安徽科技学院管理学院, 安徽凤阳 233100
2.
合肥工业大学管理学院, 安徽合肥 230009

基金项目:

国家自然科学基金重点项目（71331002）;安徽省哲学社会科学规划项目（AHSKQ2015D48）;安徽科技学院重点项目（Xj201602）;安徽省高校优秀青年人才支持计划一般项目（gxyq2017047）;安徽省软科学项目“乡村振兴战略背景下科技助推安徽新型农业经营主体转型升级的对策与路径研究”（1706a02020052）。

详细信息

作者简介:
郑谦(1980-),女,四川自贡人,博士,副教授,主要从事信息资源管理、农业区域发展研究。

通讯作者:
梁昌勇(1965-),男,安徽合肥人,博士生导师,教授,主要从事信息管理、决策科学研究。

中图分类号: G252.8
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出版历程
- 收稿日期: 2018-04-23
- 修回日期: 2018-05-07
- 发布日期: 2018-10-09

The Influential Factors and Paths of Adopting Intelligent Information Technology in Agricultural Sector

1.
chool of Management, Anhui Science and Technology University, Fengyang 233100, China
2.
School of Management, Hefei University of Technology, Hefei 230009, China

摘要

摘要: 新常态下，加快智能信息技术在农业部门的应用，对于促进农业经济转型发展，提高农业生产效率和附加值具有重要意义。基于TOE分析框架，并结合技术接受模型和资源基础观，构建农业部门的智能信息技术采纳行为影响因素及路径的分析框架，并进一步分析了影响因素之间的作用关系。基于581个农业经营主体的调研数据，采用PLS统计方法进行实证检验。结果表明：农业经营主体的智能信息技术感知，组织内部的资源、动态能力和决策者的态度以及外部政策环境和压力，对采纳行为具有直接影响效应。此外，通过智能信息技术感知、内部资源和决策者态度的中介作用，动态能力和政府政策还对农业经营主体的采纳行为产生间接影响效应。
- 农业部门 /
- 智能信息技术 /
- 采纳行为 /
- TOE模型
Abstract: Under the "new normal" of China's economic development, it is of great significance to speed up the intelligent information technology application in the agricultural sector. That is because that the application of intelligent information technology could promote the transformation and development of agricultural economics, improve the efficiency and additional value of agricultural production. Based on Technology-Organization-Environment framework, Technology Acceptance Model theory and Resource-based view theory, this paper constructs an analysis framework of the influencing factors of the intelligent information technology adoption behavior in agricultural sector, discusses how the impact factors influence the intelligent information technology adoption behavior in agricultural sector, and further analyzes relationships between influencing factors. Based on the survey data of 581 agricultural management entities in Anhui province in China, the Partial Least Square (PLS) statistical method was used for the empirical test. The empirical analysis results show as follows:these are direct effects on the intelligent information technology adoption behaviors of agricultural management entities, which include the perceived usefulness of intelligent information technology, the perceived easy to use of intelligent information technology, the internal resources of agricultural management entities, dynamic capabilities of agricultural management entities, the attitude of decision makers in agricultural management entities, as well as the government policies and pressures from the external environment. In addition, dynamic capabilities of agricultural management entities and government policies also have indirect effects on the intelligent information technology adoption behaviors of agricultural management entities through the mediating effects of the intelligent information technology perceptions(including the perceived usefulness of intelligent information technology and the perceived easy to use of intelligent information technology), the internal resources of agricultural management entities and the attitude of decision makers in agricultural management entities.
- agricultural sector /
- intelligent information technology /
- adoption behavior /
- TOE framework

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