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Title: Cross-fertilising methods in naturalistic decision-making and managerial cognition
Author: McAndrew, Claire-Louise
ISNI:       0000 0001 3622 4311
Awarding Body: University of Surrey
Current Institution: University of Surrey
Date of Award: 2008
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The aim of this thesis is to examine the potential for methodological exchange between the fields of naturalistic decision-making (NDM) and managerial cognition. The research outlined makes a contribution towards methodological choice and research design within these fields. It also contributes by highlighting the theoretical value of applying a naturalistic mode of enquiry to the study of investment professionals. This research is situated in response to a number of calls for inter-disciplinary conversation in the study of cognition (Hodgkinson and Healey, 2008; Hodgkinson and Thomas, 1997; Lipshitz, Klein and Carroll, 2006). As such, it is located within the wider organisational debates of the social, management and behavioural sciences. Building upon the arguable inappropriateness of existing managerial cognition - behavioural decision-making (BDM) collaborations, this thesis advocates a naturalistic approach for progressing understanding of 'real-world' decision-making. In doing so, and in addressing the methodological challenges associated with these fields, the thesis examines the utility of connectionist architectures and structured qualitative approaches for the elicitation and representation of cognition. Three studies progressively examine the boundaries of cross-fertilisation using investment professionals as a backdrop for study. The results suggest inter-disciplinary collaboration to be useful not only in developing the reperto.ire of methodological tools available to the social sciences researcher, but in progressing theoretical thought (ie. through the concepts of coherence and sense-making) and in addressing epistemological debates within these fields. This thesis therefore contributes towards rapprochement of quantitative-qualitative approaches in NDM and computational-interpretative perspectives in the field of managerial cognition by modelling their dynamic interplay. The results also draw attention to the importance of understanding the socially situated aspects of expertise and the value in obtaining a multi-perspective understanding of cognition through mixed-methods designs. This thesis suggests that further collaboration both in a theoretical and methodological sense has much to offer these two fields and is an appropriate avenue for progression.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available