Abstract
Employees are an asset for any organization. As the employees are the possessors and the processors of the knowledge that is circulated within an organization, the decisions made by them can lead to the success of the organization, especially when they are made with accuracy and meticulousness. Knowledge management (KM) is instrumental in fostering the symbiosis of tacit and explicit knowledge in a business, which can be used to make valuable decisions for ensuring the success of the organization. These decisions are extremely significant when it comes to tiding over crises through strategizing and reinventing. Big data can serve to scrutinize, organize, and arrange the colossal amount of available data present in the form of knowledge in order to filter out the best and most valuable information, thus giving the organization a competitive edge. The present chapter aims to understand the relationship between big data and KM, and also how big data can serve as an enabler for effective KM.
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Linkage between the variables
Title of the research paper | Main findings | Source of literature |
---|---|---|
Interrelationship Between Big Data and Knowledge Management: An Exploratory Study in the Oil and Gas Sector | • Generation of predictive knowledge • Improve KM capabilities • Effective decision-making | Sumbal et al., Journal of Knowledge Management (2017) |
Big Data Systems: Knowledge Transfer or Intelligence Insights? | • Similarity between big data and KM structure | Rothberg and Erickson, Journal of Knowledge Management (2017) |
Creation of Knowledge-Added Concept Maps: Time Augmentation via Pairwise Temporal Analysis | • High correlation between temporal assessment and subjective assessments | Sasson et al., Journal of Knowledge Management (2017) |
Cognitive Big Data: Survey and Review on Big Data Research and Its Implications. What’s Really New in Big Data? | • Five-trait framework for big data 1. Socio-technical system 2. Data space 3. Data richness 4. Knowledge management 5. Decision-making 6. Sensory/visualization presentation | Lugmayr, Stockleben, Scheib, and Mailaparampil, Journal of Knowledge Management (2017) |
Facilitating Knowledge Management through Filtered Big Data: SME Competitiveness in an Agri-Food Sector | • Big data consumer analytics helps in tapping explicit and tacit knowledge • Effective implementation of KM processes needed in SMEs | O’Connor and Kelly, Journal of Knowledge Management (2017) |
Big Data Text Analytics: An Enabler of Knowledge Management | • Empower KM | Khan and Vorley, Journal of Knowledge Management (2017) |
Big Data and Knowledge Management; A Case of DÉJÀ VU or Back to the Future? | • Pattern analysis and prediction with application of algorithms • Data-driven decision-making • Big data as a contributor to KM | Tian, Journal of Knowledge Management (2017) |
Information and Reformation in KM Systems: Big Data and Strategic Decision-Making | • Identified four types of data based decisions which aids KM systems in handling big data and advanced analytics | Intezari and Gressel, Journal of Knowledge Management (2017) |
The Concept of Big Data Applied in Personal Knowledge Management | • Five areas of personal knowledge management with application of big data: 1. Time management 2. Computer usage efficiency management 3. Mobile device behavior management 4. Health management 5. Browser surfing management | Liu et al., Journal of Knowledge Management (2017) |
Big Data and Knowledge Management: Establishing a Conceptual Foundation | • Connection between KM, IC and application of big data and business analytics exists • With advance use of big data knowledge assets can be beneficial | Erickson and Rothberg, Electronic Journal of Knowledge Management (2014) |
Big Data, Tacit Knowledge and Organizational Competitiveness | • Inhabited knowledge in big data has potential of creating economic value • Major source of competitive advantage | Kabir and Carayannis, ICICKM (2013) |
Big Data Customer Knowledge Management | • Integration of CRM, CKM and big data as value creation strategies • Increase quality • Improves trustworthiness | Chan, Communications of the IIMA (2014). |
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Thomas, A., Chopra, M. (2020). On How Big Data Revolutionizes Knowledge Management. In: George, B., Paul, J. (eds) Digital Transformation in Business and Society. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-08277-2_3
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