In the future I don't know what I'll be but hopefully its something good...
Applied
behaviour analysis (ABA) is known for its ability to alter person
behaviour. Popular applications range anywhere from reducing habits
associated with autism, to day-to-day manipulation of people around
you. The value of the ABA process however, should not be limited to
the achievement of intervention goals or successful behavioural
modification. Equally important is the descriptive analysis of the
social problems and the processes that feed into the current
undesired behaviour.
In
the future I'm not sure exactly what I want to be, Im not even sure I
will consciously make use of ABA principles. Conscious or not ABA
does seem to be quite useful in profiling a target, and an area I
feel this could be of use to is in social marketing. Things like
getting people to respond behaviourally to PA messages instead of
passively absorbing the message with no behavioural change. One of my
main, I guess you could call 'life-goals' has always been to better
the communities back home. And though Indonesia is fraught with
numerous socio-economic and environmental difficulties, perhaps a
simple step forward could be creating more affective PA messages that
evoke greater behavioural responses from individuals. After all
social media networks have become one of the leading sources of
information for Indonesian people, and the most significant social
changes have been through grass root initiation.
A
problem that is quickly identified is the switch from individual
targets to target communities. One way around this is to integrate
the ABC model into another model that was designed to be implemented
at community level – the social marketing process (Geller, 1989). A
quick overview of the social marketing process and the ABC model
reveals how an integration of this sort is possible. The main
features of the social marketing process include:
1.
market analysis (identification of campaign message)
2.
market segmentation (identification of target audience)
3.
marketing strategy (the actual campaign)
4.
evaluation
What
this process lacks perhaps is adequate understanding of what
maintains current behaviours. This is where the ABC model can
supplement in the market segmentation stage (for information on the
details of the ABC model see Maag, 2001). By identifying the
variables that feed and maintain current behaviour the social
marketing strategy would be able to tackle these problems and
subsequently produce a more tailored and hopefully influential
campaign.
The
descriptive analysis of target audiences is a key and usually
trivialised feature of ABA. Though this information can be of great
value in a number of contexts. A deeper understanding of the target's
motivations and beliefs is always a good starting point to planning
future responses. A number of studies have also begun to look into
the significance such information in predicting future behavioural
trends within a target population (Ouellette & Wood, 1998; Webb &
Sheeran, 2006; Glasman & Albarracin, 2006).
References:
Geller,
E. S. (1989). Applied behavior analysis and social marketing: An
integration for environmental preservation. Journal
of Social Issues, 45(1),
17-36.
Glasman,
L. R., & AlbarracĂn, D. (2006). Forming attitudes that predict
future behavior: a meta-analysis of the attitude-behavior
relation. Psychological
bulletin, 132(5),
778.Glasman,
L. R., & AlbarracĂn, D. (2006). Forming attitudes that predict
future behavior: a meta-analysis of the attitude-behavior
relation. Psychological
bulletin, 132(5),
778.
Maag,
J. W. (2001). Rewarded by punishment: Reflections on the disuse of
positive reinforcement in schools. Exceptional
children, 67(2),
173-186.
Ouellette,
J. A., & Wood, W. (1998). Habit and intention in everyday life:
the multiple processes by which past behavior predicts future
behavior.Psychological
bulletin, 124(1),
54.
Webb,
T. L., & Sheeran, P. (2006). Does changing behavioral intentions
engender behavior change? A meta-analysis of the experimental
evidence.Psychological
bulletin, 132(2),
249.
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