References
Bowman, G. (2016). The Practice of Scenario Planning: An Analysis of Inter- and
Intra-organizational Strategizing. British Journal of Management, 27(1), 77–96.
https://doi-org.coloradotech.idm.oclc.org/10.1111/1467-8551.12098
Chambers, J. C., Mullick, S. K., & Smith, D. D. (1971). How to choose the right
forecasting technique. Harvard Business Review, 49(4), 45–70.
Kim, H. H., & Swanson, N. R. (2018). Methods for backcasting, nowcasting and
forecasting using factor‐MIDAS: With an application to Korean GDP. Journal of
Forecasting, 37(3), 281–302.
https://doi-org.coloradotech.idm.oclc.org/10.1002/for.2499
Frum, R. (2013, August 6). World association of newspapers scenario planning.
Personal Expert System.
https://personalexpertsystem.blogspot.com/2013/08/world-association-of-newspapers.html
Thursday, March 31, 2022
Scenario Planning vs Forecasting
Scenario planning is a method in which multiple future narratives are
constructed from a set of variables, conditions, or factors all of which are
related to the challenge or problem under focus (Bowman, 2016). By constructing
a matrix or table in which the different values are assigned to the variables,
the researchers can begin to develop and understanding of how a specific future
may come to fruition and gain insight into which of the variables would be the
strongest factor in it occurring. The validity of the generated scenarios is
dependent on the researchers understanding of the variables, the relationships
between them and their accuracy in predicting the likelihood of specific events
or circumstances occurring which means it can be a rather subjective exercise
Frum, 2013).
Forecasting is different from scenario planning in that the intent is to arrive
at one accurate future narrative through careful research and analysis of all
factors. There are multiple methods of forecasting including qualitative, time
series analysis, and casual models (Chambers et. al., 1971). The method utilized
will change based on the amount of hard facts (numbers, quantitative data)
available, examples or history which can be cross-referenced, or how deep of an
understanding is available on the factors on conditions which can impact the
outcome. Compared to other castings such as backcasting or nowcasting,
forecasting can be effective with less variables or factors under consideration
(Kim, Swanson, 2018). To construct the forecast, researchers will look at
multiple factors and weigh them on their perceived impact on altering the future
state and when all of the factors have been analyzed with regards to their
impact, a conclusion can be drawn. As an example, if manufacturer of products
which relies on aluminum begins to see the factors related to supply issues
beginning to appear, they may forecast an impending shortage and pre-emptively
order more supply to get ahead of their perceived future.
Scenario planning is an excellent exercise when an organization wants to explore
multiple possibilities and consider how they would react or adapt to those
potential futures. The time horizon for these exercises may be slightly further
out than the timeframes forecasting is typically utilized in. Forecasting is
better suited for trying to identify how a business needs to respond today to
the most likely future state and the analysis of current data and environmental
factors is essential to an accurate prediction.
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