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将数据驱动的创新与企业绩效相联系:一个理论框架与案例分析。

Linking data-driven innovation to firm performance: a theoretical framework and case analysis.

作者信息

Wong David T W, Ngai Eric W T

机构信息

Department of Management and Marketing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China.

出版信息

Ann Oper Res. 2022 Nov 7:1-20. doi: 10.1007/s10479-022-05038-y.

Abstract

UNLABELLED

This paper examines the impact of data-driven innovation (DDI) on firm performance, based on an exploratory case study of a manufacturing firm in China's textile and apparel industry. It explores the influence of various contextual variables on the firm's DDI and suggests ways to enhance DDI and thereby firm performance. Extending the literature on DDI, the paper proposes and validates a theoretical framework that incorporates the influence of various contextual factors on firms' DDI. The findings show that (1) individual context is associated with DDI; (2) organizational context is associated with DDI; and (3) DDI is associated with firm performance. This paper extends our understanding of how firm performance can be improved through DDI and shows that DDI should match a firm's contextual environment.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s10479-022-05038-y.

摘要

未标注

本文基于对中国纺织服装行业一家制造企业的探索性案例研究,考察了数据驱动型创新(DDI)对企业绩效的影响。它探讨了各种情境变量对企业DDI的影响,并提出了增强DDI从而提高企业绩效的方法。本文扩展了关于DDI的文献,提出并验证了一个纳入各种情境因素对企业DDI影响的理论框架。研究结果表明:(1)个体情境与DDI相关;(2)组织情境与DDI相关;(3)DDI与企业绩效相关。本文扩展了我们对如何通过DDI提高企业绩效的理解,并表明DDI应与企业的情境环境相匹配。

补充信息

网络版包含可在10.1007/s10479-022-05038-y获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b32f/9640841/e97ca28afcd1/10479_2022_5038_Fig1_HTML.jpg

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