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| 003 | IN-MiVU | ||
| 005 | 20240426112132.0 | ||
| 006 | a||||go|||| 00| 0 | ||
| 007 | cr |||aaaaaaaa | ||
| 008 | 240424s2023 xxu||||g |||| 00| 0 eng d | ||
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_a9781009106436 _c$225 |
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| 028 | _aCambridge University Press | ||
| 040 |
_beng _cIN-MiVU |
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| 082 | 0 | 4 |
_221 _a300.72 _bSIM/C |
| 245 | 0 | 0 |
_aCambridge handbook of qualitative digital research/ edited by _cBoyka Simeonova and Robert D. Galliers _h[electronic resource] |
| 260 |
_a[ S.l.]: _bCambridge University Press, _c2023 |
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| 520 | _aBig data and algorithmic decision-making have been touted as game-changing developments in management research, but they have their limitations. Qualitative approaches should not be cast aside in the age of digitalisation, since they facilitate understanding of quantitative data and the questioning of assumptions and conclusions that may otherwise lead to faulty implications being drawn, and - crucially - inaccurate strategies, decisions and actions. This handbook comprises three parts: Part I highlights many of the issues associated with 'unthinking digitalisation', particularly concerning the overreliance on algorithmic decision-making and the consequent need for qualitative research. Part II provides examples of the various qualitative methods that can be usefully employed in researching various digital phenomena and issues. Part III introduces a range of emergent issues concerning practice, knowing, datafication, technology design and implementation, data reliance and algorithms, digitalisation. | ||
| 653 | 1 | 0 | _a Knowledge Management |
| 653 | 2 | 0 | _aQualitative Research Methods |
| 653 | 3 | 0 | _aDatabases and Data Mining |
| 700 | 1 |
_aSimeonova, B. _eediting |
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| 700 | 1 |
_aGalliers, Robert D. _eediting |
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| 856 | 4 | 0 |
_3https://doi.org/10.1017/9781009106436 _uhttps://doi.org/10.1017/9781009106436 _yclick here |
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_2ddc _cEB |
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