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Article
Publication date: 1 January 1999

Rob Duboff and Carla Heaton

This article has a very straightforward message: engendering loyalty among valuable employees is imperative.

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Abstract

This article has a very straightforward message: engendering loyalty among valuable employees is imperative.

Details

Strategy & Leadership, vol. 27 no. 1
Type: Research Article
ISSN: 1087-8572

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Article
Publication date: 30 May 2023

Carla Bonato Marcolin, Eduardo Henrique Diniz, João Luiz Becker and Henrique Pontes Gonçalves de Oliveira

In a context where human–machine interaction is growing, understanding the limits between automated and human-based methods may leverage qualitative research. This paper aims to…

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Abstract

Purpose

In a context where human–machine interaction is growing, understanding the limits between automated and human-based methods may leverage qualitative research. This paper aims to compare human and machine analyses, highlighting the challenges and opportunities of both approaches.

Design/methodology/approach

This study applied qualitative secondary analysis (QSA) with machine learning-based text mining on qualitative data from 25 interviews previously analyzed with traditional qualitative content analysis.

Findings

By analyzing both techniques' strengths and weaknesses, this study complements the results from the original research work. The previous human model failed to point to a particular aspect of the case, while the machine analysis did not recognize the sequence of time in the interviewee's discourse.

Originality/value

This study demonstrates that combining content analysis with text mining techniques improves the quality of the research output. Researchers may, therefore, better handle biases from humans and machines in traditional qualitative and quantitative research.

Details

Qualitative Research in Organizations and Management: An International Journal, vol. 18 no. 2
Type: Research Article
ISSN: 1746-5648

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Book part
Publication date: 23 September 2021

Sara Sassetti

Abstract

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Entrepreneurship and Emotions: Insights on Venture Performance
Type: Book
ISBN: 978-1-80117-354-4

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