Interrelationship between big data and knowledge management : an exploratory study in the oil and gas sector
Journal of Knowledge Management
Emerald Publishing Limited
Big data, Oil and gas, Knowledge management
Purpose: The purpose of this paper is to explore the relationship between big data and knowledge management (KM).
Design/methodology/approach: The study adopts a qualitative research methodology and a case study approach was followed by conducting nine semi-structured interviews with open-ended and probing questions.
Findings: Useful predictive knowledge can be generated through big data to help companies improve their KM capability and make effective decisions. Moreover, combination of tacit knowledge of relevant staff with explicit knowledge obtained from big data improvises the decision-making ability.
Research limitations/implications: The focus of the study was on oil and gas sector, and, thus, the research results may lack generalizability.
Originality/value: This paper fulfills an identified need of exploring the relationship between big data and KM which has not been discussed much in the literature.
The work presented in this study was conducted at Knowledge Management Innovation and Research Center (KMIRC), Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong. Research work under project code 1-904Z supported by the research office of The Hong Kong Polytechnic University.
Copyright © Emerald Publishing Limited 2017
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The work presented in this study was conducted at Knowledge Management Innovation and Research Center (KMIRC), Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong.
Sumbal, M. S., Tsui, E., & See-To, E. W. K. (2017). Interrelationship between big data and knowledge management: An exploratory study in the oil and gas sector. Journal of Knowledge Management, 21(1), 180-196. doi: 10.1108/JKM-07-2016-0262