Abstract
Thecurrent productionmodeofmanufacturing enterprisesgenerallyhasthe
characteristics of "high input, high consumption and high emission", which has caused
severe problems of resource waste and environmental pollution. Therefore, it is of great
practical and strategic significance to vigorously promote the green transformation of
manufacturing production mode and fully implement the concept of green development.
Adheringto thepathof greendevelopmentis essentiallyto enhancethegreen
competitiveness of enterprises in the process of pursuing positive changes. Therefore, in the
context of global green change, exploring the technical means and management methods to
improve the green competitiveness of China's manufacturing industry has become a basic
topic that the government and enterprises need to study urgently. Under the covid-19
epidemic situation, big data and Internet of things have shown great vitality and vitality.
Traditional industries must grasp the direction of digital development and accelerate the pace
of transformation. At the same time, the key role of big data in production has also been
recognized by the government, and data has become the fifth factor of production for the
first time. In view of the universality and inevitability of big data practice activities, whether
the goal of green development of manufacturing industry can be achieved with the help of
digital transformation, and whether relying on the value of big data can help enterprises
establish green competitiveness has attracted the continuous attention of academic and
practical circles.
Based on the resource-based view and dynamic capability view, this paper studies the
relationship between big data capability, environmental dynamics, property rights and green
competitiveness, and explains the internal mechanism of big data capability affecting the
green competitiveness of manufacturing enterprises. The research conclusions are as follows:
(1) big data strategic planning ability and big data analysis ability have a significant positive
effect on green competitiveness; (2) The big data management ability of non high-tech
manufacturing industry in the current period and the first lag period has a positive role in
promoting green competitiveness,and the big data managementability of high-tech
manufacturing industry in the current period and the first lag period has no significant
positive impact on green competitiveness; (3) Environmental dynamics has a significant
positive regulatory effect on the relationship between big data strategic planning ability, big
data management ability and green competitiveness, but there is no positive regulatory effect
between big data analysis ability and green competitiveness; (4) Compared with state-owned
enterprises, the big data strategic planning ability and big data management ability of
non-state-owned enterprises play a more significant positive role in green competitiveness,
while the relationship between big data analysis ability and green competitiveness does not
have the negative regulatory effect of the nature of state-owned property rights.
This research has certain theoretical and practical significance. In terms of theory, firstly,
it enriches the conceptual connotation and empirical research results of big data capability,
and provides new reference ideas for the dimension division of big data capability. Secondly,
it expands the research content of the impact mechanism of big data capability on green
competitiveness, introduces the environmental dynamics and property rights into the model,
and explores the regulatory effect of uncertain environment and property rights on big data
capability and green competitiveness, which can not only uncover the mechanism of big data
capability affecting enterprise green competitiveness, but also supplement the theoretical
basis system of big data capability affecting enterprise green competitiveness. In practice, by
exploring the relationship between big data capability and green competitiveness, it provides
new management ideas and paths for enterprises to use data value to create green value and
successfully realize high-quality development, transformation and upgrading.
Keywords:Big data ability; Manufacturing enterprises; Green competitiveness；SB
M-GML
目录
第一章绪论....................1
第一节研究背景...................1
第二节研究目的和研究意义.............2
一、研究目的..................2
二、研究意义..................2
第三节国内外研究现状..............4
一、大数据能力相关研究............4
二、绿色竞争力相关研究............6
三、大数据能力对绿色竞争力的影响相关研究...........9
四、研究述评................10
第四节研究内容与方法............11
一、研究内容................11
二、研究方法................13
第五节创新点..............14
第二章理论基础和概念界定..................15
第一节相关理论基础................15
一、资源基础理论...............15
二、动态能力理论...............16
第二节相关概念界定................17
一、大数据能力...................17
二、环境动态性...................19
三、产权性质................20
四、绿色竞争力...................20
第三章研究假设和研究模型..................22
第一节研究假设的提出............22
一、大数据能力对绿色竞争力的影响...........22
二、环境动态性的调节作用.............24
三、产权性质的调节作用.................26
第二节研究模型.................27
第四章研究设计.................28
第一节数据样本.................28
第二节模型构建.................28
第三节变量设计.................29
第五章数据分析与假设检验..................32