IMPROVING SERVICE INNOVATION PERFORMANCE THROUGH THE BIG DATA MANAGEMENT CLOSED LOOP COMPETENCE IN CHINA MOBILE.

Autor: LAN DU, QIUPING HUANG, KWANHO YEUNG, ZHAOQUAN JIAN
Předmět:
Zdroj: International Journal of Computer Science & Applications; Feb2016, Vol. 13 Issue 1, p116-132, 17p
Abstrakt: The paper attempts to identify the impacts of five aspects of big data management competence in closed loop datafication system on service innovation performance and business performance in telecom industry in China. The research questions have been developed by integrating various theories (i.e. knowledge management theory, evolutionary perspective and resource-based theory) with the model of a telecom operator's big data management competence in its closed loop datafication system for service innovation in China. The industry giant China Mobile is featured in the case study to demonstrate the relationships in big data environment. The findings strongly suggest that several propositions serve to support the notion of using of five aspects of management closed loop competence to promote service innovation. Specifically, the integrated management closed loop competence poses positive impact on service innovation performance. In addition, four other management closed loop competences would lead to service innovation performance and subsequent business performance. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index