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Abstract
Knowledge production within the field of business research is accelerating at a tremendous speed while at the same time remaining fragmented and interdisciplinary. This makes it hard to keep up with state-of-the-art and to be at the forefront of research, as well as to assess the collective evidence in a particular area of business research. This is why the literature review as a research method is more relevant than ever. Traditional literature reviews often lack thoroughness and rigor and are conducted ad hoc, rather than following a specific methodology.
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References
- Abawajy,, 2015 Abawajy J. Comprehensive analysis of big data variety landscape International Journal of Parallel, Emergent and Distributed Systems, 30 (1) (2015), pp. 5-14
- Abawajy, et al., 2014 Abawajy J.H., Kelarev A., Chowdhury M.Large iterative multitier ensemble classifiers for security of big data IEEE Transactions on Emerging Topics in Computing, 2 (3) (2014), pp. 352-363
- Abdellatif, et al., 2015, Abdellatif T.M., Capretz L.F., Ho D.Software analytics to software practice: a systematic literature review. Proceedings of the 1st International Workshop on BIG Data Software Engineering – IEEE Press (2015), pp. 30-36
References
Abawajy,, 2015 Abawajy J. Comprehensive analysis of big data variety landscape International Journal of Parallel, Emergent and Distributed Systems, 30 (1) (2015), pp. 5-14
Abawajy, et al., 2014 Abawajy J.H., Kelarev A., Chowdhury M.Large iterative multitier ensemble classifiers for security of big data IEEE Transactions on Emerging Topics in Computing, 2 (3) (2014), pp. 352-363
Abdellatif, et al., 2015, Abdellatif T.M., Capretz L.F., Ho D.Software analytics to software practice: a systematic literature review. Proceedings of the 1st International Workshop on BIG Data Software Engineering – IEEE Press (2015), pp. 30-36