Twentieth International Conference on Knowledge, Culture, and Change in Organizations

Abstract

Value creation is one of the core aspects of big data. This concept of value creation can be further linked to the efficient knowledge management within the organizations, in terms of knowledge creation, sharing and application, through which organizations can enhance their organizational performance. Little work has been done on the linkage of value creation from big data and the knowledge management capability of the organizations. Using the three main pillars of knowledge management, i.e. people, technology and process, this study makes an attempt to extend this stream of research and argumentation on connection between big data and knowledge management. People, processes and technology play a key role in the effective knowledge management implementation in the organizations. Technology is becoming sophisticated day by day and hence much cheaper and better solutions are available for performing the analytics. In the age of disruptive technologies and automation, the “deep smarts” in the organizations are important for effective decision making. Looking through the lens of knowledge management, same holds true for big data in which people and technology can be effectively utilized to create valuable predictive knowledge, then share this knowledge within the organizations to decide on its credibility and finally apply this predictive knowledge in real business problems for improved organizational performance. This study attempts to explain this linkage of people, process and technology in relation to big data and knowledge management, by presenting a conceptual framework and following inductive research approach and qualitative research strategy in the oil and gas industry.