大数据分析与创新研究:基于技术和商业周期的视角

A study on big data analytics and innovation: From technological and business cycle perspectives

Technological Forecasting and Social Change · 2024
被引 82 · 同刊同年前 4%
ABS 3

中文导读

研究了大数据分析对企业创新能力、技术周期和绩效的影响,基于356家企业的调查数据,发现大数据技术显著提升创新能力和绩效,并有助于应对气候变化和能源转型。

Abstract

In today's rapidly changing business landscape, organizations increasingly invest in different technologies to enhance their innovation capabilities. Among the technological investment, a notable development is the applications of big data analytics (BDA), which plays a pivotal role in supporting firms' decision-making processes. Big data technologies are important factors that could help both exploratory and exploitative innovation, which could affect the efforts to combat climate change and ease the shift to green energy. However, studies that comprehensively examine BDA's impact on innovation capability and technological cycle remain scarce. This study therefore investigates the impact of BDA on innovation capability, technological cycle, and firm performance. It develops a conceptual model, validated using CB-SEM, through responses from 356 firms. It is found that both innovation capability and firm performance are significantly influenced by big data technology. This study highlights that BDA helps to address the pressing challenges of climate change mitigation and the transition to cleaner and more sustainable energy sources. However, our results are based on managerial perceptions in a single country. To enhance generalizability, future studies could employ a more objective approach and explore different contexts. Multidimensional constructs, moderating factors, and rival models could also be considered in future studies.

大数据分析创新能力技术周期企业绩效气候变化