Success Factors of Big Data to Achieve Organisational Performance: Qualitative Research

Candice Walls and Brian Barnard
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Candice Walls: Gordon Institute of Business Science, University of Pretoria, South Africa
Brian Barnard: Gordon Institute of Business Science, University of Pretoria, South Africa

Expert Journal of Business and Management, 2020, vol. 8, issue 1, 17-56

Abstract: This part of the study continues the literature review conducted, and empirically addresses the research questions raised, in the preceding part of the study: Success factors of big data to achieve organisational performance: Theoretical perspectives. Overall, the focus is on the success factors of big data from an organizational context: how and when big data analytics capabilities yield benefits and improve organisational performance. The research questions that were addressed are: 1. What is the general understanding of big data and its current situation? 2. What capabilities are required in order to be successful at translating big data insights into organisational performance? 3. What are the biggest challenges/ risks to converting big data insights into organisational performance? The methodology was qualitative and exploratory, using semi-structured interviews to have in-depth discussions with big data employees at varying job levels to ascertain the success factors and challenges of the big data environment. These constructs provide companies with the ability to improve their BDAC capabilities in order to generate value from big data, thereby improving organisational performance.

JEL-codes: L26 O30 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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