IT-business alignment, big data analytics capability, and strategic decision-making: Moderating roles of event criticality and disruption of COVID-19

DOI码：

10.1016/j.dss.2022.113745

发表刊物：

Decision Support Systems

项目来源：

"2018YFB1601401 72004222 72001156"

关键字：

IT-business alignment, Big data analytics capability, Event disruption of COVID-19, Event criticality of COVID-19, Decision speed, Decision quality

摘要：

Prior research has confirmed the importance of IT-business alignment (ITBA) and big data analytics capability (BDAC) in supporting firms' strategic decision-making under normal circumstances. However, the global outbreak of COVID-19 has significantly changed firms' strategic decision-making landscapes and raised questions regarding the effects of ITBA and BDAC on strategic decision-making as conditioned by COVID-19 characteristics. In this study, we contextualize two important event impact factors (i.e., event criticality and event disruption) in the context of COVID-19 and examine their contingent roles in the effects of ITBA and BDAC on strategic decision-making. Our analyses, based on two-round, multi-respondents matched survey data collected from 175 Chinese firms to elucidate the differential moderating roles of event criticality and disruption of COVID-19 in the impact of ITBA and BDAC on strategic decision speed and quality. The results indicate the event criticality of COVID-19 strengthens the effects of ITBA on decision speed and quality but weakens the influence of BDAC on decision quality. Meanwhile, the event disruption of COVID-19 weakens the influence of ITBA on decision speed and quality but strengthens the effect of BDAC on decision speed and quality. These findings have important theoretical and practical implications, which we discuss in the conclusion.

备注：

This work was supported by the National Key R&D Program of China (2018YFB1601401), and the National Natural Science Foundation of China (NSFC: 72004222, 72001155).

合写作者：

Chen, Lifan, Liu, Hefu*, Zhou, Zhongyun, Chen, Meng, & Chen, Yao

学科门类：

管理学

文献类型：

J

卷号：

161

页面范围：

13

ISSN号：

0167-9236

是否译文：

否

发表时间：

2022-01-01

发布期刊链接：

https://doi.org/10.1016/j.dss.2022.113745