Responsible Mixed Methods Research (RMMR)

Heinz Herrmann; Roslyn Cameron

Responsible Mixed Methods Research (RMMR)

COCA - Centre for Organisational Change and Agility

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In the last decade, ethics has been given increased attention by mixed methods researchers (MMR) from several disciplines (Cain et al., 2019; Cameron & Herrmann, 2023; Hesse-Biber, 2010; Hesse-Biber & Johnson, 2013; Hesse-Biber & Leavy, 2010; Onwuegbuzie & Corrigan, 2014; Poth, 2018; Preissle et al., 2015). The adoption of artificial intelligence (AI) technologies by MM researchers, such as machine learning and big data, is a more recent trend, owing to the increasing availability and access to large data sets from the internet in a combination of text, images, audio, and videos or multimodal data (Cameron & Herrmann, 2023; Creamer, 2020; Mills, 2019).

Original language	English
Title of host publication	Handbook of Mixed Methods Research in Business and Management
Editors	Roslyn Cameron, Xanthe Golenko
Publisher	Edward Elgar Publishing Ltd.
Pages	55-75
Publication status	Published - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Responsible Mixed Methods Research (RMMR)",

abstract = "In the last decade, ethics has been given increased attention by mixed methods researchers (MMR) from several disciplines (Cain et al., 2019; Cameron & Herrmann, 2023; Hesse-Biber, 2010; Hesse-Biber & Johnson, 2013; Hesse-Biber & Leavy, 2010; Onwuegbuzie & Corrigan, 2014; Poth, 2018; Preissle et al., 2015). The adoption of artificial intelligence (AI) technologies by MM researchers, such as machine learning and big data, is a more recent trend, owing to the increasing availability and access to large data sets from the internet in a combination of text, images, audio, and videos or multimodal data (Cameron & Herrmann, 2023; Creamer, 2020; Mills, 2019).",

author = "Heinz Herrmann and Roslyn Cameron",

year = "2023",

language = "English",

pages = "55--75",

editor = "Roslyn Cameron and Xanthe Golenko",

booktitle = "Handbook of Mixed Methods Research in Business and Management",

publisher = "Edward Elgar Publishing Ltd.",

}

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T1 - Responsible Mixed Methods Research (RMMR)

AU - Herrmann, Heinz

AU - Cameron, Roslyn

PY - 2023

Y1 - 2023

N2 - In the last decade, ethics has been given increased attention by mixed methods researchers (MMR) from several disciplines (Cain et al., 2019; Cameron & Herrmann, 2023; Hesse-Biber, 2010; Hesse-Biber & Johnson, 2013; Hesse-Biber & Leavy, 2010; Onwuegbuzie & Corrigan, 2014; Poth, 2018; Preissle et al., 2015). The adoption of artificial intelligence (AI) technologies by MM researchers, such as machine learning and big data, is a more recent trend, owing to the increasing availability and access to large data sets from the internet in a combination of text, images, audio, and videos or multimodal data (Cameron & Herrmann, 2023; Creamer, 2020; Mills, 2019).

AB - In the last decade, ethics has been given increased attention by mixed methods researchers (MMR) from several disciplines (Cain et al., 2019; Cameron & Herrmann, 2023; Hesse-Biber, 2010; Hesse-Biber & Johnson, 2013; Hesse-Biber & Leavy, 2010; Onwuegbuzie & Corrigan, 2014; Poth, 2018; Preissle et al., 2015). The adoption of artificial intelligence (AI) technologies by MM researchers, such as machine learning and big data, is a more recent trend, owing to the increasing availability and access to large data sets from the internet in a combination of text, images, audio, and videos or multimodal data (Cameron & Herrmann, 2023; Creamer, 2020; Mills, 2019).

M3 - Chapter

SP - 55

EP - 75

BT - Handbook of Mixed Methods Research in Business and Management

A2 - Cameron, Roslyn

A2 - Golenko, Xanthe

PB - Edward Elgar Publishing Ltd.

ER -

Responsible Mixed Methods Research (RMMR)

Abstract

UN SDGs

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