Qualitative Data Analysis Techniques for the New Age Management Accountants

Authors

  • Ashish Varma Assistant Professor IMT Ghaziabad, Ghaziabad

DOI:

https://doi.org/10.33516/maj.v54i4.54-55p

Abstract

The new age Management Accountants (CMA) deal in a lot of data for decision making purposes, which can be both quantitative or qualitative in nature. Till recently, the qualitative data, i.e. words, text, pictures were hitherto analyzed manually as it was considered less significant than quantitative data. This article describes one of the popular software N Vivo to illustrate how such software help in data processing by undertaking a cluster analysis, word cloud or through the preparation of charts. The important point to note here is that the qualitative data assessment and the quantitative data analysis are not mutually exclusive and the new age CMA can contribute more to the success of their organization by being proficient in the use of both for decision making purposes.

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Published

2019-04-14

How to Cite

Varma, A. (2019). Qualitative Data Analysis Techniques for the New Age Management Accountants. The Management Accountant Journal, 54(4), 54–55. https://doi.org/10.33516/maj.v54i4.54-55p

Issue

Volume 54, Issue 4, April 2019

Section

Management Accounting
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Europe PMC

References

NVivo Qualitative Data Analysis Software; QSR International Pty Ltd. Version 12 (N Vivo 12 Pro).

Varma, A., Bhalotia, K. and Gambhir, K. (2018) Innovating for Competitive Advantage: Managerial Risk-Taking Ability Counterbalances Management Controls. Journal of Management and Governance, 1-21. https://doi.org/10.1007/s10997-018-9422-z

Varma, A. (2018) Qualitative Evidence for a Behavioral Extension of the Expectancy Valence Theory: The Netflix-TwitterYakult Case. Theoretical Economics Letters, 8, 3457-3469. https:// doi.org/10.4236/tel.2018.815212

Varma, A. and Sahoo, S. (2018) A Behavioral Economics Study on the Management Accountant’s Professional Networking Practices through Mobile Technologies. Theoretical Economics Letters, 8, 3092-3108. https://doi.org/10.4236/tel.2018.814192

Varma, A. (2018) Big Data Usage Intention of Management Accountants: Blending the Utility Theory with the Theory of Planned Behavior in an Emerging Market Context. Theoretical Economics Letters, 8, 2803-2817. https://doi.org/10.4236/tel.2018.813176

Bing, L., Chan, K.C. and Ou, C. (2014) Public Sentiment Analysis in Twitter Data for Prediction of a Company. IEEE 11th International Conference on E-Business Engineering, Guangzhou, 5-7 November 2014, 232-239.

Varma, A. (2018) Mobile Banking Choices of Entrepreneurs: A Unified Theory of Acceptance and Use of Technology (UTAUT) Perspective. Theoretical Economics Letters, 8, 2921-2937. https:// doi.org/10.4236/tel.2018.814183

Moffitt, K.C. and Vasarhelyi, M.A. (2013) AIS in an Age of Big Data. Journal of InformationSystems , 27, 1-19. https://doi.org/10.2308/isys-10372

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