Data analytics management capability and strategies for interorganisational collaborations: a survey research

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Business Analytics Pub Date : 2023-04-23 DOI:10.1080/2573234X.2023.2204159
Mohammad Daneshvar Kakhki, Utkarsh Shrivastava
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Abstract

ABSTRACT Drawing on the dynamic capabilities perspective, we propose a research model that explains how data analytics management capability (DAMC) impacts interorganisational collaboration and business performance. Our model incorporates DA strategy as a moderator of the relationship between DAMC and collaboration. We test our model with a survey of 508 practitioners. Our findings suggest that while the DA innovator strategy fosters collaboration, it does not improve performance. In contrast, a more conservative DA strategy leads to higher strategic and operational performance. Our work highlights how leveraging DAMC facilitates effective interorganisational collaborations.
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组织间合作的数据分析管理能力与策略:一项调查研究
基于动态能力视角,我们提出了一个研究模型来解释数据分析管理能力(DAMC)如何影响组织间协作和业务绩效。我们的模型将数据支持策略作为数据支持与协作之间关系的调节因子。我们通过对508名从业人员的调查来测试我们的模型。我们的研究结果表明,虽然DA创新者战略促进了合作,但它并没有提高绩效。相比之下,更保守的DA策略会导致更高的战略和运营绩效。我们的工作强调了如何利用DAMC促进有效的组织间合作。
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来源期刊
Journal of Business Analytics
Journal of Business Analytics Business, Management and Accounting-Management Information Systems
CiteScore
2.50
自引率
0.00%
发文量
13
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