Evaluate Impacts of Big Data on Organizational Performance: Using Intellectual Capital as a Proxy

摘要

Big data analytics has come out as a new important field of study for both researchers and practitioners, demonstrating the significant demand for solutions to business problems in a data-driven knowledge-based economy. Employing the emergent technology successfully is not easy, and assessing the roles of big data in improving firm performance is even much harder. Additionally, empirical studies examining the impacts of the nascent technology on organizational performance remain scarce. The present study aimed to fill the gap. This study suggested using firms' intellectual capital as a proxy for the performance of big data implementation in assessing its influence on business performance. The present study employed the Value Added Intellectual Coefficient method to measure corporate intellectual capital, via its three main components: human capital efficiency, structural capital efficiency, and capital employed efficiency, and then used the structural equation modeling technique to model the data and test the models. The financial fundamental and market data of 100 randomly selected publicly listed firms in the sector of pharmaceutical, biotechnology, and life sciences were collected. The results of the tests showed that only human capital efficiency and capital employed efficiency had a significant positive impact on firm profitability, which highlighted the prominent roles of enterprise employees and financial capital in the impacts of big data technology.