Interrelationship between big data and knowledge management : an exploratory study in the oil and gas sector

Muhammad Saleem SUMBAL, Eric TSUI, Wing Kuen, Eric SEE-TO

Research output: Journal PublicationsJournal Article (refereed)

34 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)180-196
Number of pages17
JournalJournal of Knowledge Management
Issue number1
Publication statusPublished - 2017
Externally publishedYes


Bibliographical note

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.


  • Big data
  • Knowledge management
  • Oil and gas

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