Online Public Access Catalogue (OPAC)
Central Library - Vidyasagar University

“Education does not only mean learning, reading, writing, and arithmetic,

it should provide a comprehensive knowledge”

-Ishwarchandra Vidyasagar


Normal view MARC view ISBD view

Cambridge handbook of qualitative digital research/ edited by Boyka Simeonova and Robert D. Galliers [electronic resource]

Contributor(s): Simeonova, B [editing] | Galliers, Robert D [editing].
Material type: TextTextPublisher: [ S.l.]: Cambridge University Press, 2023ISBN: 9781009106436.Subject(s): Knowledge Management | Qualitative Research Methods | Databases and Data MiningDDC classification: 300.72 Online resources: https://doi.org/10.1017/9781009106436 click here Summary: Big 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode
E-Book E-Book WWW
Non-fiction 300.72 SIM/C (Browse shelf) Available EB713

Big 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.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha