建筑企业精益建设技术采纳意愿与采纳决策模型研究

发布时间：2018-10-05 06:55

【摘要】：随着我国进入经济的高速发展期,投资拉动和城镇化设施建设使基础设施建设在很长时间内成为拉动我国经济增长的主要因素。自2008年至今,我国建筑业年总产值屡创历史新高,建筑业在我国国民经济中所发挥的作用日益凸显。但是在建筑行业为社会带来巨大财富的同时,也产生了巨大的浪费问题和高碳排放量问题。如何实现建筑行业的可持续发展,成为业界人士和学者们普遍关心的热点问题。在建筑业中精益建设思想和技术的运用能够很大程度上减少建设项目生产过程中的浪费以及无增值活动,以此来增加建设项目收益,最大限度提升客户价值。精益建设在我国的研究起步较晚,从目前国内建筑企业对于精益建设技术运用的实际情况来看,无论是理论研究还是应用实践,我国都远远落后于英美等西方发达国家。那么在实施精益建设的进程中,影响我国建筑企业精益建设技术采纳意愿的影响路径是什么?建筑企业对于精益建设采纳的决策模型是如何构建的?本文围绕上述问题进行研究。本文的主要工作和结论如下:第一部分为建筑企业实施精益建设技术采纳的外部影响变量分析。在详细梳理国内外关于精益建设理论和技术采纳相关理论的基础上进行文献分析,在对于外部影响因素进行归类梳理时选择了 T-O-E理论框架作为精益建设技术采纳影响因素的分类依据。研究结果表明,环境因素主要包括潮流压力,竞争压力;组织因素包括组织文化、管理支持、资源就绪度;技术因素包括技术一任务适配度和技术一组织兼容度。这三方面做为TAM模型的外部因素共同影响采纳认知和采纳行为。第二部分为建筑企业精益建设技术采纳意愿模型构建。首先从建筑企业的视角,整合T-O-E框架和TAM模型,构建精益建设技术采纳意愿的概念模型并提出研究假设。然后围绕概念模型所涉及的变量进行量表开发,实施问卷调查。最后,通过实证分析,验证概念模型的有效性和合理性,包括信度检验、效度检验和结构方程分析,确定最终模型。结果表明,除了组织规模因素被剔除外,其余研究假设均通过了检验,证明所提出的概念模型能够较好地解释建筑企业精益建设技术采纳意愿的影响路径。第三部分为建筑企业采纳精益建设技术的决策行为模型构建。通过对支持向量机算法和BP神经网络算法的仿真结果分析对比,采用支持向量机的理论与方法建立了精益建设技术采纳决策行为的预测模型,该模型表现出了较好的拟合度和预测精度,并通过具体建筑项目实例进行验证。结果表明,模型分析结果与实例决策相符合,该决策模型具有较好的实用性和有效性。最后,提出本文的研究不足之处和未来研究的展望。
[Abstract]:With China entering the period of rapid economic development, the construction of investment and urbanization facilities makes the infrastructure construction become the main factor of economic growth in a long period of time. Since 2008, the annual gross output value of China's construction industry has repeatedly reached a record high, and the role of construction industry in our national economy has become increasingly prominent. However, the construction industry has brought great wealth to the society, but also produced a huge problem of waste and high carbon emissions. How to realize the sustainable development of the construction industry has become a hot issue that the industry and scholars are generally concerned about. The application of lean construction thought and technology in the construction industry can greatly reduce the waste and no value-added activities in the production process of construction projects, so as to increase the benefits of construction projects and maximize customer value. Lean construction research started late in our country. According to the actual situation of lean construction technology application in domestic construction enterprises, our country lags far behind the western developed countries such as the United States and the United States. So in the process of implementing lean construction, what is the influence path that affects the willingness to adopt lean construction technology of Chinese construction enterprises? How does the decision model adopted by construction enterprises for lean construction be constructed? This paper focuses on the above problems. The main work and conclusions of this paper are as follows: the first part is the analysis of external influence variables of lean construction technology adopted by construction enterprises. On the basis of combing the relevant theories of lean construction theory and technology adoption at home and abroad in detail, the literature analysis is carried out. T-O-E theory framework is chosen as the classification basis of Lean construction technology adoption in the classification of external influencing factors. The results show that environmental factors mainly include tidal pressure and competitive pressure; organizational factors include organizational culture, management support, resource readiness, and technical factors include technology-task adaptability and technology-organization compatibility. These three factors, as external factors of TAM model, affect both the cognitive and the adoptive behaviors. The second part is the construction enterprise lean construction technology adoption willingness model construction. Firstly, from the perspective of construction enterprises, this paper integrates the T-O-E framework and TAM model, constructs the conceptual model of the willingness to adopt lean construction technology and puts forward the research hypothesis. Then the scale is developed around the variables involved in the conceptual model, and the questionnaire is carried out. Finally, the validity and rationality of the conceptual model are verified by empirical analysis, including reliability test, validity test and structural equation analysis to determine the final model. The results show that except for the elimination of organizational scale factors, the other research hypotheses have passed the test, which proves that the proposed conceptual model can better explain the influence path of lean construction technology adoption willingness of construction enterprises. The third part is the construction enterprise adopting lean construction technology decision-making behavior model. By analyzing and comparing the simulation results of support vector machine (SVM) algorithm and BP neural network algorithm, the prediction model of lean construction technology adopting decision-making behavior is established by using the theory and method of support vector machine (SVM). The model shows good fitting degree and prediction accuracy, and is verified by concrete construction project. The results show that the results of the model analysis are in agreement with the case decision, and the model has good practicability and effectiveness. Finally, the paper puts forward the deficiency of this paper and the prospect of future research.
【学位授予单位】：天津财经大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：F426.92

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