Roles of big data analytics and organizational culture in developing innovation capabilities: a hybrid PLS‐fsQCA approach

IF 6.7 2区 管理学 Q1 BUSINESS R&D Management Pub Date : 2024-09-17 DOI:10.1111/radm.12719
Behzad Foroughi, Mohammad Iranmanesh, Nick Hajli, Lee Shih Ling, Morteza Ghobakhloo, Davoud Nikbin
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Abstract

Big data analytics creates and consolidates competitive advantage by providing insights on data with enormous variety, velocity, and volume to firms. However, many companies' investments in big data analytics were unsuccessful, and they could not gain full advantage of these technologies. This study investigates the impacts of big data analytics capabilities on innovation quality and speed by considering organizational learning culture as a moderator. The study's data are obtained from a survey of 221 managers in the manufacturing industry. We integrate the Partial Least Squares (PLS) technique and fuzzy‐set Qualitative Comparative Analysis (fsQCA) to perform the analysis. The findings of PLS indicated that big data analytics capabilities positively influence both innovation quality and speed. However, innovation quality influences both market performance and financial performance, and innovation speed only affects market performance. Organizational learning culture negatively moderates the impacts of big data analytics on innovation speed and quality. fsQCA uncovered four solutions with varied combinations of factors that predict the high market and financial performance. The theoretical and practical implications are explained at the end of the paper.
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大数据分析和组织文化在发展创新能力中的作用:PLS-fsQCA 混合方法
大数据分析通过为企业提供对种类繁多、速度快、数量大的数据的洞察力来创造和巩固竞争优势。然而,许多公司在大数据分析方面的投资并不成功,无法充分利用这些技术。本研究以组织学习文化为调节因素,探讨大数据分析能力对创新质量和速度的影响。研究数据来自对制造业 221 名管理人员的调查。我们整合了偏最小二乘法(PLS)技术和模糊集定性比较分析法(fsQCA)进行分析。偏最小二乘法的结果表明,大数据分析能力对创新质量和速度都有积极影响。但是,创新质量同时影响市场绩效和财务绩效,而创新速度只影响市场绩效。组织学习文化负向调节了大数据分析对创新速度和质量的影响。本文最后阐述了其理论和实践意义。
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来源期刊
R&D Management
R&D Management Multiple-
CiteScore
11.30
自引率
9.50%
发文量
0
期刊介绍: R&D Management journal publishes articles which address the interests of both practising managers and academic researchers in research and development and innovation management. Covering the full range of topics in research, development, design and innovation, and related strategic and human resource issues - from exploratory science to commercial exploitation - articles also examine social, economic and environmental implications.
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