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Decision Making Styles in Financial Behaviour : Towards a Method for Measurement and Application, 2000-2001
Creator
Nicholson, N., London Business School, Centre for Organisational Research
Soane, E., London Business School, Centre for Organisational Research
Willman, P., London Business School, Centre for Organisational Research
Fenton-O'Creevy, M., Open University, Business School
Study number / PID
4444 (UKDA)
10.5255/UKDA-SN-4444-1 (DOI)
Data access
Restricted
Series
Not available
Abstract
Abstract copyright UK Data Service and data collection copyright owner.The research sought to fill a gap in knowledge and practice about individual differences in how professionals in the financial services industry make decisions. The practical importance of the investigation relates to potentially important effects on both person-job fit and performance. Identifying orientations that relate differentially to decision environments in finance, e.g. functional roles and types of markets, could help guide key placement decisions and developmental discussions at the workplace. The facets of decision style focused upon in this research came from two sources: suggestions arising from the Principal Investigators' previous research and an extensive literature review. The literature reveals a number of different aspects of decision making. Of these, five related closely to the distinctions observed in the previous research and seemed likely to be more generally pertinent to the finance environment: achievement, emotional involvement, risk preferences, structure (vs. autonomy) and spontaneity (vs. deliberation).
The research had three objectives. First, to develop an effective measure of several aspects of decision making that were likely to impact upon person-job fit and the performance of individuals in the financial environment (the Decision Making Styles Questionnaire, DMSQ). Second, to develop such a measure would contribute to understanding in decision theory. Third, the application of a measure of decision styles could provide valuable data relevant to individual and organisational performance. The prior research found that in the field the selection, placement and advancement of people in finance decision-making tends to be unsystematic without any attention to non-technical criteria such as psychological profile. In the finance industry, the cumulative effect of even a small mismatch between an individual and their job requirements could lead to preventable...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/10/2000 - 01/06/2001
Country
England
Time dimension
Cross-sectional (one-time) study
Analysis unit
Individuals
Subnational
Universe
Participants were drawn from two sources during 2000-2001:
1. MBA and other postgraduate students at London Business School.
2. Job applicants and job holders of the London office of a major investment bank.
Sampling procedure
Volunteer sample
participants in Organisation A (investment bank); students at London Business School were class participants - questionnaire completion was part of assigned work.
Kind of data
Numeric
Data collection mode
Self-completion
Funding information
Grant number
R022250177
Access
Publisher
UK Data Service
Publication year
2001
Terms of data access
The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.
Use of the data requires approval from the data owner or their nominee.