How do big data analytics capabilities and improvisational capabilities shape firm innovation?

IF 3.7 3区 管理学 Q2 BUSINESS
Ao Zan , Yanhong Yao , Huanhuan Chen
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引用次数: 0

Abstract

Big data analytics capabilities (BDAC) are essential for firms to gain competitive advantages, given its crucial role in facilitating digital innovation. However, practice demonstrates that 59 % of firms fail to reap the expected benefits of big data, thus falling into a "digital dilemma". This study aims to explore how BDAC and improvisational capabilities interact to shape firm innovation. To achieve this research objective, we collected survey data from 228 Chinese firms and employed symmetric (partial least squares structural equation model, PLS-SEM) and asymmetric (fuzzy-set qualitative comparative analysis, fsQCA) methods under the dual perspectives of contingency and configuration. The SEM results show that BDAC positively influences both radical and incremental innovation, with improvisational capabilities mediating the relationships. Additionally, the fsQCA results show that BDAC (including tangible capabilities, intangible capabilities, and human skills), improvisational capabilities, and environmental dynamism (including competitive intensity and technological turbulence) jointly drive radical and incremental innovation. Importantly, we identified both generalized and specialized configurations for radical and incremental innovation. These findings offer valuable insights for firms in developing strategies to address the digital dilemma.

大数据分析能力和随机应变能力如何塑造企业创新?
大数据分析能力(BDAC)是企业获得竞争优势的关键,因为它在促进数字化创新方面发挥着至关重要的作用。然而,实践表明,59% 的企业未能从大数据中获得预期收益,从而陷入了 "数字困境"。本研究旨在探讨 BDAC 和随机应变能力如何相互作用,形成企业创新。为实现这一研究目标,我们收集了 228 家中国企业的调查数据,并在权变和构型的双重视角下,采用了对称方法(偏最小二乘结构方程模型,PLS-SEM)和非对称方法(模糊集定性比较分析,fsQCA)。SEM 结果表明,BDAC 对激进式创新和渐进式创新都有积极影响,而即兴能力则是两者关系的中介。此外,FsQCA 结果表明,BDAC(包括有形能力、无形能力和人的技能)、即兴能力和环境动态(包括竞争强度和技术动荡)共同推动了激进创新和增量创新。重要的是,我们发现了激进创新和渐进创新的通用配置和专用配置。这些发现为企业制定应对数字化困境的战略提供了宝贵的见解。
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来源期刊
CiteScore
8.00
自引率
6.20%
发文量
29
审稿时长
>12 weeks
期刊介绍: The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management. The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning. The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.
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