Data analytics capability and servitization: the moderated mediation role of bricolage and innovation orientation
发布时间：2023-03-21
点击次数：
- DOI码：
- 10.1108/ijopm-10-2021-0663
- 发表刊物：
- International Journal of Operations & Production Management
- 项目来源：
- "2018YFB1601401 72001155 72102117"
- 关键字：
- Data analytics capability, Servitization, Bricolage, Innovation orientation
- 摘要：
- Purpose – Despite the potential influence of data analytics capability on servitization, the understanding of the underlying mechanisms of this influence remains unclear. This study aims to explore how data analytics capability affects servitization by examining the mediation effect of bricolage and the conditional role of innovation orientation. Design/methodology/approach – This study employs the moderated mediation method to examine the proposed research model with archival data and multiple-respondent surveys from 1,206 top managers of 402 manufacturing firms in the Yangtze River Delta area in China. Findings – Bricolage partially mediates the positive relationship between data analytics capability and servitization, and innovation orientation positively moderates this effect. Practical implications – Manufacturers can leverage bricolage to materialize data analytics capability for servitization. Manufacturers should also pursue an innovation orientation to fully glean the benefits of bricolage in transforming data analytics capability into servitization. Originality/value – This study opens the black box of how data analytics capability affects servitization by revealing the underlying mechanism of bricolage and the boundary condition role of innovation orientation for this mechanism. It offers valuable insights for practitioners to leverage data analytics to improve servitization through developing bricolage and cultivating a culture of innovation orientation. Keywords Data analytics capability, Servitization, Bricolage, Innovation orientation
- 备注：
- Funding for this study is provided by the National Key R&D Program of China [grant number (2018YFB1601401)] and National Natural Science Foundation of China [grant numbers (72001155 and 72102116)].
- 合写作者：
- Chen, Meng, Pu, Xiaodie*, Zhang, Mengru, Cai, Zhao, Chong, Alain Yee-Loong, & Tan, Kim Hua
- 学科门类：
- 管理学
- 文献类型：
- J
- 卷号：
- 42
- 期号：
- 4
- 页面范围：
- 440-470
- ISSN号：
- 0144-3577
- 是否译文：
- 否
- 发表时间：
- 2022-01-01