An analysis of the problem-set found within the case study
concludes that a collaboration tool similar to Skype for Business, would be a
sufficient solution. Considering, the
ability to communicate and collaborate in a common environment together and for
each individual participant is crucial to success. Including custom development functionality of
the tool while keeping the original shell of code. Thus, the group decision support system
methodology and group decision process modeling were applied to the case study
to achieve a conclusive solution.
A minimalist design provided by the group decision support system
will increase the participation and facilitation of each individual group
member. Therefore, the group
collaboration will require specific functions to be successful in finding
effective solutions. The group decision
support system grants the numerous group participants, the ability to
communicate and work with data input simultaneously. Considering, this interactive computer-based
system allows multiple decision-makers the ability to find the solutions to
various issues that are normally unstructured in nature. The usage of a group decision support system
actually improves the overall quality and the effectiveness of each group meeting. As Prescott (n.d.) defines group decision
support systems:
Computer-based GDSS
research began in the 1980s as a subtype of a DSS or Decision Support System,
an interactive knowledge-based software system that helps business end-users
compile raw data, business models, and academic research to help recognize and
solve problems individually.(p.2)
During an electronic meeting with the group decision support
system, each of the participants are provided with a corresponding
computer. All of the computers are
actually connected to one another, including the facilitator’s device and the
file server. At the front of the room a
projection screen is provided to allow each of the participants to project
information as needed. The meetings
comprise of different stages, from the idea generation, followed by a
discussion, then voting and counting of the votes.
Although the group decision support system may seem like a simple
tool, it is quite a bit more complex than most realize. As described by Mihir Joshl, “Group decision
support system (GDSS) is composed of 3 main components, namely hardware,
software tools, and people.” (Joshl, 2018). Imagine a conference room with tables,
chairs, projector, and multiple network connected laptops; this would be the
main hardware components involved within the group decision support system. Along with the various software tools
available such as, questionnaire and brainstorming tools, organizers, project
management, and policy formation tools.
Lastly, all of the people involved which are the participants, group
members, facilitator who manages the meetings and tools. Mihir explains, “The GDSS components together
provide a favorable environment for carrying out group meetings.” (Joshl, 2018). Leading to the modeling of the problem-set
solution provided within the case study, group decision process which is also
known as group decision making.
There are many factors that are considered with a group decision
process, such as roles, participation, communication, ideation, and
finalization. The terminology specifies that
group decision making is utilized whenever there is a decision that needs to be
made for a particular problem, with the cooperation of multiple people. Thus, the group decision process can be
improved by implementing the usage of group decision support system. As such, without the group decision support
system the entire group decision process would not be as successful. Research data shows that the larger groups
are less effective than smaller groups, due to the complexity of managing
multiple people. As stated in Forbes by
Larson (2017):
A landmark study in the
‘70s found that a “Goldilocks” sized team, one that is not too small and not
too big, is 4.6 people...which in the real world rounds up to 5. More recently,
researchers at Bain found that after the 7th person in a decision-making group,
each extra member reduces decision effectiveness by 10%. (p. 2)
Although, the right sized group is not necessarily the only factor
to consider in the overall performance. Ensuring
each team member has the ability and skill available to fill their role to
reduce any possible frustration and friction.
Gathering individual input from each team member before the group
discussion will help increase the solution choices. Another great performance booster is
communication, describing in detail as to why each decision has been made and
the overall reason.
There are a total of three decision support environments,
certainty, uncertainty, and risk. All of
which play a key role in any decisions made within a business. As Chand describes the decision support environment,
“The decisions are taken in different types of environment. The type of
environment also influences the way the decision is made.” (Chand, n.d.). Therefore, both the decision and the
environment affect one another. Within a
certainty decision support environment, the solution or answer is clear and
there is not any other option. Although,
this type of decision support environment is difficult to find in most of the
decisions that business make on a daily basis.
Though there are instances where there is complete certainty in the decision-making
process and it is normally of little significance to the business.
Whereas, an uncertainty decision support environment contains
multiple options and the decision makers do not have a clue as to what the end
result will be. Normally, these
situations occur when there are unknown variables at play, such as product
demand or natural disasters. When the
decision support environment is risky, there are many various events that can
occur. Although, the decision maker is
able to assign a risk probability with the amount of data provided. The information that is provided comes from
previous experiences and numerous variables that are available.
The methods utilized within the case study provided educational
data to grant the ability to confirm the recommendations and results. As such, the group decision process with the
usage of the group decision support system would provide the expected
facilitation tool. The overall
expectations of the results provided by the case study versus the actual
results, are not very different at all.
Considering, the expectations consisted of a system that is participant
driven, increases social participation with a collaborative environment, is
exactly what a group decision support system provides. Decision limitations comprise of purchase
cost versus development cost, as a group decision support system can be
purchased and/or developed. Although the
overall investment cost is quite a bit pricey, it is well worth the funds
invested. Depending on available
developers and their overall experience, it can be more expensive to develop
custom group decision support software.
Thus, utilizing the group decision process to determine that a
group decision support system would be the most beneficial for collaboration
between group members. Whether the
decision makers are working on data together simultaneously or holding an
e-meeting, the group decision support system tool can provide the necessary
resources to increase performance.
Modifying and/or adding additional tools to the group decision support
system is as easy as creating a shortcut.
Which will allow for easy modification to the group decision support
system if it is ever needed in the future to increase productivity between
decision makers.
References
Chand, S. (n.d.). Decisions Making Environments:
Certainty, Uncertainty and Risk. Retrieved from Your Article Library:
http://www.yourarticlelibrary.com/decision-making/decisions-making-environments-certainty-uncertainty-and-risk/10269
Joshl, M. (2018). Group Decision Support System (GDSS).
Retrieved from Management Study HQ:
https://www.managementstudyhq.com/features-and-components-of-group-decision-support-system.html
Larson, E. (2017, March 23). 3 Best Practices for High
Performance Decision-Making Teams. Forbes. Retrieved from https://www.forbes.com/sites/eriklarson/2017/03/23/3-best-practices-for-high-performance-decision-making-teams/#669caf63f971
Prescott, A. (n.d.). How GDSS Can Enhance Group
Decision-Making. Houston Chronicle. Retrieved from
https://smallbusiness.chron.com/gdss-can-enhance-group-decisionmaking-36926.html
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