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Qualitative data analysis

Open access
Lerigo-Sampson, Moya·2022·Handbook of Research Methods for Supply Chain Management

Abstract

Qualitative research involves establishing patterns observed in a data set as opposed to quantifying magnitudes. Qualitative research provides a platform for the formulation of ideas and consequently, such techniques within this realm are flexible to encourage the exploration of themes and topics. The aim of this chapter is to focus on the post data collection needs of a qualitative researcher. Therefore, it will provide a summary of common qualitative data collection methods, data sources, analytical techniques, coding processes, as well as a consideration of reliability and validity from a qualitative perspective. By providing insights into each of these stages, future qualitative researchers of supply chain management should feel comfortable and confident in their research processes.

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Metadata

Authors
Lerigo-Sampson, M.
Venue
Handbook of Research Methods for Supply Chain Management
Published
2022-10-18
Pages
187-201
OpenAlex
W564874956
Cited by
513
References
0
FWCI
106.43
Type
book chapter
Language
en
Open access
green

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CoChat. (2026). Citation check: Qualitative data analysis. https://app.cochat.ai/papers/10.4337/9781788975865.00016
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Lerigo-Sampson, M. (2022). Qualitative data analysis. Handbook of Research Methods for Supply Chain Management. https://doi.org/10.4337/9781788975865.00016

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.