汽车零部件入厂物流中物联网采纳影响因素研究  

Factors Influencing the Adoption of the Internet of Things in Inbound Logistics of Automobile Parts

作　　者：张涛[1,2] 徐莉莉 吴珍华[1] ZHANG Taoa,b , XU Lilia,(a. School of Information Management and Engineering;b. Information Technology, Shanghai University of Finance WU Zhenhua a b. Shanghai Key Laboratory of Financial and Economics, Shanghai 200433, Chin)

机构地区：[1]上海财经大学信息管理与工程学院,上海200433 [2]上海财经大学上海市金融信息技术研究重点实验室,上海200433

出　　处：《系统管理学报》2018年第2期254-263,共10页Journal of Systems & Management

基　　金：国家自然科学基金资助项目(71171126);上海市哲学社会科学规划资助项目(2011BGL015);教育部高等学校博士学科点专项科研基金资助项目(20130078110001);上海市科学技术委员会2016年度"科技创新行动计划"资助项目(16511104704)

摘　　要：物联网技术与信息系统相融合,成为企业优化物流、提升竞争力的一个重要手段。首先构建了基于物联网的汽车零部件入厂物流信息系统架构,着重研究汽车零部件入厂物流的物联网技术采纳影响因素。在实地调研和专家访谈的基础上,融合技术-组织-环境(TOE)框架模型和技术接受模型(TAM),在TOE框架下融入TAM模型中的关键因素,构建汽车零部件物流中物联网技术采纳行为影响因素模型,并对每个因素变量进行定义并设计测量量表;针对提出的物联网采纳影响因素模型,运用结构方程模型进行数据分析,采用实证方法分析物联网技术采纳的关键影响因素,并结合分析结果,对模型进行了修正。Many scholars have considered the integration of internet of things （IOT） and information systems as an important way for optimizing logistics and enhancing the competitiveness of enterprises. This paper focuses on factors influencing enterprises~ adoption of IOT in inbound logistics of automobile parts. Based on field research and interviews with experts, and integrating the TOE framework model and TAM modeling, it builds the model for factors influencing enterprises; adoption of IOT in inbound logistics of automobile parts by mixing the key factors of TAM into the TOE framework. Then, it defines each of the factors and designs the variable measuring scale for the proposed model. To test the conceptual model and research assumptions, it takes empirical analysis using the SEM model, and corrects the conceptual model based on the analysis results.

关 键 词：影响因素研究 汽车零部件入厂物流 物联网技术 潜在变量 物联网 EFB 采纳意愿 

分 类 号：C931.6[经济管理—管理学]