The
research study I selected focused on an experiment in which South Korean
researchers attempted to learn more about how to improve public opinion of QR
codes and discover ways of ensuring increased usage in the future. This was a
well written and organized article and focused on a very interesting concept I
haven't before encountered: QR codes are designed for mobile phone users, who
have the appropriate software, to quickly scan for information coded within the
image. This represents a communication-limited interaction based upon
permission-based marketing. Such a relationship actually "...eliminates
the methodology of broadcast media..."
This study utilized a methodological
approach in an experimental design. Because this study was designed an a purely
experimental way, the results could be victim to the faults and errors of a
randomized testing scenario, one which much be monitored as closely as possible
to generate accuracy. However, I learned a few things about quantitative
testing through this article. The chief among these principles are thoroughness
and oversight. Because this study sought to explore and discover new
relationships the study design of this experiment was multileveled and complex with four levels: Individual
in-depth interviews, expert input from industry sources helped for groups of
subjects, following focus groups a final questionnaire was developed with
multiple inputs including industry experts and university professors, and
finally this survey was administered by a professional marketing design group.
The amount of input and oversight by knowledgeable professionals was huge. For
a quantitative analysis like this one it is important to note that each
question asked of the subjects in the survey was conceptualized in a "yes"
or "no" format which creates the ability to place numerical value on
the responses.
Several weakness do become evident,
however: first, the number of responses only totaled 370. In a study of
widespread social importance this would be a serious problem, but in this study
the research does focus on a specific technology not everyone has access to. I
believe that in this case the small sample number may be adequate, but it can
be open to criticism if future claims are made based upon this work. Another problem is a technological one; such
a study of emerging technology can only remain relevant for so long. QR codes
are a new and rapidly evolving technology, and public opinion and use could
shift rapidly at any time in the future.
Another methodological problem is
described in the study itself, that the sample input came only from the Korean
market,
"...more research with samples from other countries is
needed to validate the current results and provide pivotal implications for
future convergence services. Customers’ value perceptions and their
influence on commitment and behavior may differ from culture to culture, and
results indicating the weights of the influence of different value dimensions
should be interpreted with caution, at least with regard to the Asian markets,
where the social influence of the group tends to be higher than in
individualistic Western societies." (Shin, Jung and Chang, 2012)
I don't exactly know how they spread the participants over the different qualitative methods, but I think a sample size of 370 is really huge for a qualitative study. I don't know if you have done interviews or any other kind of qualitative studies during your education, but I can tell you this much: you generate a lot of data by just interviewing one person for one hour. Even more so if you have several persons in a focus group.
ReplyDelete