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作 者:陈怀超[1] 刘柏君 梁晨 何智敏 Chen Huaichao;Liu Baijun;Liang Chen;He Zhimin(College of Economics and Management,Taiyuan University of Technology,Taiyuan 030024,China)
机构地区:[1]太原理工大学经济管理学院,山西太原030024
出 处:《科技进步与对策》2024年第15期65-73,共9页Science & Technology Progress and Policy
基 金:国家自然科学基金青年科学基金项目(71602137);山西省哲学社会科学专项项目(2022YD034,2022YD040);山西省回国留学人员科研资助项目(2021-063);山西省研究生教育创新项目(2022Y186)。
摘 要:运用fsQCA方法,基于258份有效样本,从组态视角探讨数字化转型(数字化技术水平、数字化应用范围)、失败学习(个体失败学习、组织失败学习)、制度资本(正式制度资本、非正式制度资本)与企业数字化创新的复杂因果关系。结果表明:首先,单个因素不构成企业高/非高数字化创新的必要条件,但是高数字化技术水平在产生企业高数字化创新过程中发挥普适性作用;其次,产生企业高数字化创新的组态有5个,其中存在两组二阶等价组态,第一组二阶等价组态由3个组态构成,均以高数字化技术水平和高个体失败学习为核心条件,并分别以高数字化应用范围和高组织失败学习、高数字化应用范围和高制度资本、高数字化应用范围和非高制度资本为边缘条件;第二组二阶等价组态由2个组态构成,均以高组织失败学习和高非正式制度资本为核心条件,并分别以高数字化技术水平、高个体失败学习和高正式制度资本,以及高数字化转型和高正式制度资本为边缘条件。As the power for the high-quality development of enterprises,digital innovation is a key link in the innovation-driven development strategy.Only through digital innovation can enterprises realize continuous changes.Therefore,it is of great practical significance to deeply explore the impact of antecedents on enterprise digital innovation.Some scholars have identified certain factors that impact enterprise digital innovation,either at the single level of organization or environment or the combination of them.However,the existing literature has not yet paid attention to the impact of digital transformation,failure-based learning,and institutional capital on enterprise digital innovation.With the increasing dynamics and complexity of digital innovation,it is imperative to study the combined impact of various antecedents on enterprise digital innovation from a holistic perspective.In view of this,with 258 valid samples,the paper uses the fsQCA method to discuss the complex causal relationship among digital transformation(digital technology level and digital application range),failure-based learning(failure-based learning at the individual level and failure-based learning at the organizational level),institutional capital(formal institutional capital and informal institutional capital)and enterprise digital innovation from the configurational perspective.It concludes that,firstly,there is not any single factor that constitutes a necessary condition leading to high/non-high digital innovation of enterprises,but digital technology level plays a general role in leading to high digital innovation.Secondly,there are five configurations that lead to high digital innovation of enterprises,in which there are two groups of second-order equifinal configuration,including three and two configurations,respectively.The first group of second-order equifinal configuration all take high digital technology level and high failure-based learning at the individual level as core conditions,and take high digital application range and high f
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