빅데이터 분석역량이 기업성과에 미치는 영향 : 중국 제조업을 중심으로

Abstract

We aim to examine the effects of big data and analytics (BDA) on firm performance for the A-share manufacturing firms listed in Shanghai and Shenzhen stock exchanges in China. We first select sample firms having BDA from their annual reports, then collect financial data for those firms from CSMAR database. We construct panel data consisting of 53 BDA manufacturing firms or 212 firm-year observations across seven sectors, namely internet of things(loT), machinery, electricity·electronics, information and communication, chemicals, medicine and others. With the panel data, we employ panel linear regression model to perform empirical analysis. We choose operating profit margin(OPM) for firm performance as dependent variable, R&D intensity(RDI) and BDA dummy(BDAD) as independent variables, and firm size as control variable. We choose fixed effect(FE) model over random effect(RE) model using Hausman test. From the FE panel regression using pooled manufacturing data, we find that both BDAD and RDI are positively associated with OPM and only RDI is statistically significant at 1% level. On the other hand, from the FE panel regression using manufacturing sectoral data, we find that BDAD is positively related to OPM in electricity and electronics, information and communication, and chemicals sectors. Among them, only information and communication sector is statistically significant at 1% level.