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Responsible mixed methods research (RMMR): a case for managing ethics and AI in MMR

In: Handbook of Mixed Methods Research in Business and Management

Author

Listed:
  • Heinz Herrmann
  • Roslyn Cameron

Abstract

We present a new ethical dimension of mixed methods research (MMR) with embedded artificial intelligence (AI), referred to as responsible MMR (RMMR). First, we present an overview of ethical principles applied to research from several national and international perspectives before dealing specifically with ethical considerations for MMR as evidenced in recent research from within the MMR scholarly community. This is followed by a description of a unified framework for responsible AI (RAI) governance, which has gained traction in the last decade, due to spectacular and widely publicised failures of AI. Then we synthesise the ethical considerations for MMR and the RAI framework towards RMMR. The chapter concludes by making a set of five recommendations based on the RMMR proposition.

Suggested Citation

  • Heinz Herrmann & Roslyn Cameron, 2023. "Responsible mixed methods research (RMMR): a case for managing ethics and AI in MMR," Chapters, in: Roslyn Cameron & Xanthe Golenko (ed.), Handbook of Mixed Methods Research in Business and Management, chapter 5, pages 55-75, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20790_5
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    File URL: https://www.elgaronline.com/doi/10.4337/9781800887954.00012
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