Journal of Family Business Strategy 5 (2014) 72–84
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Journal of Family Business Strategy
jou rnal homepage: ate/jfbs
Application of metric conjoint analysis in family business research
1
David N. Hanisch , Sabine B. Rau *
WHU Otto Beisheim School of Management, Burgplatz 2, 56179 Vallendar, Germany
A R T I C L E I N F O A B S T R A C T
Keywords: Strategic decisions are important because they influence the strategic direction, competitive positioning
Metric conjoint analysis and performance of firms. However, these decisions are difficult to research, especially in family firms, as
Experimental research
their top managers are even less ing than those of their non-family counterparts. With the
Management research
metric conjoint analysis method, researchers are able to analyze management decisions at the time
Boundary research
when they are made. This method is based on an experimental technique in which the manager has to
Management consulting
make a series of judgments based on a number of decision scenarios containing a set of decision
Family business
attributes. Based on the experiment, the underlying structure of the manager’s decision-making process
can be investigated. This article conducts a literature review of management studies using metric
conjoint analysis, presents an exemplary study in the family business field and suggests potential future
applications for this method in family business research.
ß 2014 Elsevier Ltd. All rights reserved.
One of the most central research areas in management and affected by retrospective bias from misinterpreting what was
family business research is the assessment of firm performance responsible for an event or action (Golden, 1992). Biases and errors
(., Davies, Chun, & Kamins, 2010; Surroca, Tribo´ , & Waddock, associated with self-reporting might occur (Podsakoff & Organ,
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