揭示创新之路：探索大数据分析管理能力、战略敏捷性和战略一致性的作用

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge Pub Date : 2025-01-01 DOI:10.1016/j.jik.2024.100643

Zahid Sarwar , Zhi-hong Song , Syed Tauseef Ali , Muhammad Asif Khan , Farman Ali

{"title":"揭示创新之路：探索大数据分析管理能力、战略敏捷性和战略一致性的作用","authors":"Zahid Sarwar , Zhi-hong Song , Syed Tauseef Ali , Muhammad Asif Khan , Farman Ali","doi":"10.1016/j.jik.2024.100643","DOIUrl":null,"url":null,"abstract":"<div><div>Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics management capabilities (BDAMC) influence innovation performance. This study bases its assumptions on the dynamic capability and knowledge-based views. A PLS-SEM analysis of 199 firms reveals that establishing BDAMC is essential for fostering organizations’ innovation performance. This study advances knowledge by demonstrating that BDAMC enhances organizations’ strategic agility, which subsequently boosts innovation performance. Moreover, the empirical findings reveal that developing BDAMC is crucial for achieving strategic alignment, which in turn reinforces innovation performance. These unique findings hold significant practical value for managers and consultants seeking to leverage big data-related systems within organizations.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 1","pages":"Article 100643"},"PeriodicalIF":15.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unveiling the path to innovation: Exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment\",\"authors\":\"Zahid Sarwar , Zhi-hong Song , Syed Tauseef Ali , Muhammad Asif Khan , Farman Ali\",\"doi\":\"10.1016/j.jik.2024.100643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics management capabilities (BDAMC) influence innovation performance. This study bases its assumptions on the dynamic capability and knowledge-based views. A PLS-SEM analysis of 199 firms reveals that establishing BDAMC is essential for fostering organizations’ innovation performance. This study advances knowledge by demonstrating that BDAMC enhances organizations’ strategic agility, which subsequently boosts innovation performance. Moreover, the empirical findings reveal that developing BDAMC is crucial for achieving strategic alignment, which in turn reinforces innovation performance. These unique findings hold significant practical value for managers and consultants seeking to leverage big data-related systems within organizations.</div></div>\",\"PeriodicalId\":46792,\"journal\":{\"name\":\"Journal of Innovation & Knowledge\",\"volume\":\"10 1\",\"pages\":\"Article 100643\"},\"PeriodicalIF\":15.6000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Innovation & Knowledge\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2444569X24001823\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Innovation & Knowledge","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2444569X24001823","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}

引用次数: 0

摘要

众所周知，大数据可以提高运营效率、竞争力和绩效。尽管有这些前所未有的好处，但对大数据如何改变组织流程的理解仍然有限。为了解决这一差距，本研究实证调查了大数据分析管理能力（BDAMC）如何影响创新绩效。本研究的假设基于动态能力和知识基础的观点。对199家企业的PLS-SEM分析表明，建立BDAMC对促进组织创新绩效至关重要。本研究通过证明BDAMC提高了组织的战略敏捷性，从而提高了创新绩效，从而推进了知识的发展。此外，实证研究结果还表明，发展BDAMC对于实现战略结盟至关重要，而战略结盟反过来又会增强创新绩效。这些独特的发现对于寻求在组织内利用大数据相关系统的管理人员和顾问具有重要的实用价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Unveiling the path to innovation: Exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment

Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics management capabilities (BDAMC) influence innovation performance. This study bases its assumptions on the dynamic capability and knowledge-based views. A PLS-SEM analysis of 199 firms reveals that establishing BDAMC is essential for fostering organizations’ innovation performance. This study advances knowledge by demonstrating that BDAMC enhances organizations’ strategic agility, which subsequently boosts innovation performance. Moreover, the empirical findings reveal that developing BDAMC is crucial for achieving strategic alignment, which in turn reinforces innovation performance. These unique findings hold significant practical value for managers and consultants seeking to leverage big data-related systems within organizations.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Innovation & Knowledge Multiple-

CiteScore

16.10

自引率

12.70%

发文量

118

审稿时长

37 days

期刊介绍： The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.