学校代码10702密级公 开
中图分类号 C936 学号 1905210436
硕士学位论文
环境突变、二元创新和企业绩效的关系研究
学位申请人： 李苗苗
指导教师： 宋熊熊教授
学科名称： 企业管理
学位门类： 管理学
2022 年 5 月
硕士学位论文
题目：环境突变、二元创新和企业绩效的关系研究
作者李苗苗
指导教师宋熊熊 专业技术职务 教授
学科 企业管理
西安工业大学
2022 年 5 月 中国.西安
Research on the Relationship between Environmental Jolts,
Binary Innovation, and Firm Performance
by
Li Miaomiao
Thesis Submitted to the faculty of the Xi’an Technological University in
Partial Fulfillment of
the Requirements for the Degree of
MASTER
in
Corporate Management
Supervisor: Prof. Michael Song
Xi’an Technological University
May 2022
Xi’an, Shanxi, P. R. China
摘 要
二元创新包括探索式创新与利用式创新。探索式创新强调通过提供新设计、创造新产
品和新服务来寻求新知识以满足新客户的需求。利用式创新强调通过优化现有技术、完善
现有产品和服务来改进现有知识以满足现有客户的需求。二元创新一直是学术界的研究热
点，但二元创新如何影响企业绩效仍存在争议。
本研究探讨了环境突变如何调节二元创新与企业绩效之间的关系。主要研究内容包括：
第一，二元创新对企业绩效的影响；第二，环境突变如何调节二元创新与企业绩效之间的
关系。基于二元理论，本研究构建“探索式创新、利用式创新、环境突变与企业绩效”的
理论关系模型，提出4 个研究假设。本研究还进一步分析在 5 种不同水平的环境突变情境
下，利用式创新如何影响企业绩效。
为验证理论模型和研究假设，本研究采用文本分析和二手数据相结合的方法，收集了
中国沪深 A 股 495 家上市公司的实证数据，涉及通讯、电子元件、软件服务、医药制造和
机械行业 5 个行业。本研究运用SAS 9.4 软件进行数据分析并检验研究假设。实证分析方
法包括文本数据编码者的一致性检验、多元回归分析及多重共线性检验。
研究结果发现：第一，探索式创新正向影响企业绩效，而利用式创新负向影响企业绩
效。第二，环境突变不调节探索式创新对企业绩效的正向影响，但环境突变水平的提高会
使利用式创新对企业绩效的负向影响减弱。第三，无论环境是否突变，中国上市企业都应
追求探索式创新以提升企业绩效。第四，只有在高水平的环境突变情境下，利用式创新可
以提高企业绩效。所以，随着环境突变水平的提高，中国上市企业需增加利用式创新投入。
本研究拓展了影响二元创新与企业绩效的外部情境因素的实证研究。研究结论可指导
企业根据环境突变的程度，合理部署探索式与利用式创新，进而提升企业绩效。
关键词：二元创新；探索式创新；利用式创新；环境突变；企业绩效
本研究得到陕西省科技厅软科学研究基金（编号：2022KRM057）资助。
Abstract
Binary innovation includes exploratory and exploitative innovations. Exploratory
innovation emphasizes seeking new knowledge to meet the needs of new customers by providing
new designs, creating new products and services. Exploitative innovation emphasizes improving
existing knowledge to meet the needs of existing customer by improving existing technologies,
improving existing products and services. Although binary innovation has been a research hot
topic in academia, how binary innovation affects firm performance remains controversial.
This thesis explores how environmental jolts moderates the relationship between binary
innovation and firm performance. The main research content includes: First, how does binary
innovation affect firm performance; Second, how does environmental jolts moderate the
relationship between binary innovation and firm performance. This research proposes four
research hypotheses. In addition, the author analyzed how exploitative innovation affect firm
performance under five different conditions of environmental jolts.
To test the research hypotheses, the author collected empirical data using content analysis and
secondary data. The data included 495 listed companies in the communication, electronic
components, software services, pharmaceutical manufacturing and machinery industries in
China;s Shanghai and Shenzhen A-shares. This study adopted SAS 9.4 for data analysis and
testing. The data analysis methods included data coding consistency tests, multiple regression
analyses, and multicollinearity tests.
The research results show that: First, exploratory innovation has a positive effect on firm
performance, however, exploitative innovation has a negative effect on firm performance; Second,
environmental jolts do not moderate the positive impact of exploratory innovation on firm
performance, but an increase of environmental jolts will decrease the negative impact of
exploitative innovation on firm performance; Third, regardless of environmental jolts, Chinese
public listed companies should focus on exploratory innovation to improve firm performance.
Forth, only when the environmental jolts are at very high level, exploitative innovation has
positive effects on firm performance. Therefore, as environmental jolts increase, Chinese public
listed companies should increase exploitative innovation.
This study extends empirical research on external contextual factors that influence binary
innovation and firm performance. The empirical results may be useful for guiding enterprises to
rationally deploy exploratory and exploitative innovations according to the degree of
environmental jolts, so as to improve firm performance.