A note on focus group
On 8 general
characteristics of focus group as a research method, notably in the context of
MBA dissertation projects.
Focus
groups offer a dynamic qualitative method for MBA dissertations, capturing
group interactions to explore business topics like consumer preferences or team
dynamics. They excel in generating shared insights within time-constrained
projects.
Small Group Size
Typically
involves 6-10 participants to foster intimate discussion without overwhelming
moderation. In MBA dissertations, this scale suits exploring niche issues like
employee reactions to hybrid work models.
Homogeneous Participants
Participants
share key traits (e.g., demographics, roles) for relevant, focused dialogue
while allowing viewpoint diversity. MBA researchers select groups like
mid-level managers to probe strategy implementation challenges.
Trained Moderator
A
skilled facilitator guides with open-ended questions, ensuring balanced
participation and topic coverage. For dissertations, this role prevents
dominance, yielding richer data on topics like market entry barriers.
Group Interaction Emphasis
Insights
emerge from participant exchanges, sparking ideas beyond individual responses.
This dynamic aids MBA projects in uncovering collective rationales, such as
customer loyalty drivers.
Limited Duration
Sessions
last 90 minutes to 2 hours to maintain engagement and manage logistics.
Dissertation timelines benefit from this efficiency, enabling multiple groups
for triangulation.
Recorded Sessions
Discussions
are audio/video-taped or noted for accurate transcription and thematic
analysis. MBA students leverage this for coding group norms in business
contexts like innovation adoption.
Structured Guide
Uses
a flexible question sequence—warm-up, core topics, wrap-up—to align with
research objectives. In dissertations, it ensures coverage of hypotheses, such
as branding perceptions.
Multiple Sessions
Series
of 3+ groups reaches saturation, refining findings iteratively. MBA projects
use this to validate patterns, like investor sentiments on Singapore REITs,
within resource limits.
