检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:袁勇志[1] 诸葛凯 张勇 林炜炜 Yuan Yongzhi;Zhuge Kai;Zhang Yong;Lin Weiwei(School of Business,Soochow University,Suzhou 215021,China;Institute of Quality Economics,China Jiliang University,Hangzhou 310018,China)
机构地区:[1]苏州大学商学院,江苏苏州215021 [2]中国计量大学经济与管理学院,浙江杭州310018
出 处:《科技进步与对策》2024年第8期106-116,共11页Science & Technology Progress and Policy
基 金:国家自然科学基金青年项目(71402110);江苏高校哲学社会科学研究一般项目(2020SJA1357);浙江省科技计划软科学重点项目(2020C25030)。
摘 要:数字经济时代,数据成为企业转型发展的重要资源,如何依托大数据能力优化知识能级并实现创业生存与成长目标成为新创企业“新创弱性”研究的关键问题。基于动态能力理论与知识基础观,将知识耦合引入大数据能力与新创企业创业绩效关系框架,构建以互补性知识耦合、替代性知识耦合为中介的研究模型,并基于212家新创企业调查数据进行实证检验。结果表明,大数据能力对知识耦合与新创企业创业绩效具有正向影响,大数据能力通过知识耦合影响新创企业创业绩效;互补性知识耦合与创业生存绩效呈倒U型关系,替代性知识耦合与创业成长绩效具有正相关关系;IT-业务战略匹配正向调节大数据能力与知识耦合的关系。The importance of big data in innovation and entrepreneurship activities is well-acknowledged.The big data revolution has further refined the information access channels of entrepreneurs,fundamentally changed the social demand diagnosis and network resource access methods of new ventures,and promoted the innovation and catch-up of latecomer entrepreneurs in knowledge,products and business models.However,it should be pointed out that the emergence of massive data has also exacerbated the complexity and uncertainty of the economic environment,and new ventures are facing many challenges,such as data compression,knowledge iteration and other issues.Therefore,in the big data-driven context,how to seize entrepreneurial opportunities,and improve the efficiency of interactive integration of knowledge resources has become an urgent issue to be solved in its survival and growth process.On the one hand,faced with the practical difficulties of resource constraints and insufficient knowledge base,entrepreneurs need to establish efficient knowledge integration processing procedures to fill the knowledge gaps,and combine new technologies through knowledge coupling to reduce resource redundancy and entrepreneurial difficulty.Big data capability,as a low-order capability for carrying out data perception,integration and analysis,is regarded as the basis for forming high-order dynamic capabilities.The entrepreneurs rely on big data technology to accurately identify value information in massive data,optimize the process of knowledge transformation,and realize the integration and reconstruction of knowledge,showing a theoretical picture from low-order big data capability to dynamic knowledge coupling.On the other hand,enterprises need to improve the efficiency of resource integration through the coordination and alignment of IT and business strategies,so that IT personnel and business managers can reach a strategic consensus.The IT and business strategy alignment is an important boundary condition to be included.This paper explores t
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.141.164.253