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This paper contributes to a dialogue about the psychoanalytic concept of free association and its application in the context of qualitative research interviewing. In doing so, it also adds to wider discussion regarding the relationship between clinical psychoanalysis, psychoanalytic psychotherapy and qualitative research.

Critical consideration of different perspectives on the application of free association in the qualitative research interview, extending earlier work addressing this issue. Differences and similarities in the way the concept of free association is articulated are examined regarding its framing in psychoanalysis and psychoanalytically oriented psychotherapy.

Whether researchers see themselves as borrowing, applying or drawing inspiration from free association, there is scope for muddling distinct ways of viewing it as it is conceived in psychoanalysis.

Considerations are outlined for researchers interested in psychoanalytically informed methods to be mindful of.

This paper aims to introduce International Digital Collaborative Autoethnographical Psychobiography (IDCAP).

This paper describes how IDCAP was developed to answer research questions about what it takes and what it means to recover from mental illness. During its development, IDCAP combined the diverse and intersectional experiences, knowledge and interests of an Anglo-Swedish research team with what could be found in different publications concerning the experiences and the mental illnesses of the musicians Syd Barrett, Peter Green and Brian Wilson.

IDCAP combines features of autoethnography and psychobiography to offer a novel qualitative research method.

Whilst IDCAP was created to focus on recovery from mental illness and musicians, it can be applied to other areas of research. It shares the same limitations as autoethnography and psychobiography, although some of the features of IDCAP may go some way to mitigate against these.

IDCAP is a novel research method that is offered to other researchers to develop and enhance further through application.

IDCAP is a collaborative research method that encourages the involvement of a wide range of researchers from different countries and cultures. It can be used to give voice to marginalised groups and to counter discrimination and prejudice. Recovery from mental illness is a topic of great personal and social value.

IDCAP is a novel research method that, to the best of the authors’ knowledge, has not been explicitly used before.

This paper aims to provide an elucidative and explanatory overview of decision-making theory that human resource management and development (HR) researchers and practitioners can use to explore the impact of heuristics and biases on organizational decisions, particularly within HR contexts.

This paper draws upon three theoretical resources anchored in decision-making research: the theory of bounded rationality, the heuristics and biases program, and cognitive-experiential self-theory (CEST). A selective narrative review approach was adopted to identify, translate, and contextualize research findings that provide immense applicability, connection, and significance to the field and study of HR.

The authors extract key insights from the theoretical resources surveyed and illustrate the linkages between HR and decision-making research, presenting a theoretical framework to guide future research endeavors.

Decades of decision-making research have been distilled into a digestible and accessible framework that offers both theoretical and practical implications.

Heuristics are mental shortcuts that facilitate quick decisions by simplifying complexity and reducing effort needed to solve problems. Heuristic strategies can yield favorable outcomes, especially amid time and information constraints. However, heuristics can also introduce systematic judgment errors known as biases. Biases are pervasive within organizational settings and can lead to disastrous decisions. This paper provides HR scholars and professionals with a balanced, nuanced, and integrative framework to better understand heuristics and biases and explore their organizational impact. To that end, a forward-looking and direction-setting research agenda is presented.