Short Paper: Metrics

Description

QSO 300 Short Paper Guidelines and Rubric
Overview: Based on the readings and your own independent research, this short paper will be used so you can explore the course content deeper and apply key
concepts and theories learned in your readings.
Prompt: Develop a listing of what you believe are the most important metrics for operations managers. (Hint: Be sure to consider the triple bottom line.) How
does each metric support the overall financial performance of the organization? What data would be used to support this metric and how would you ensure that
the data are of sufficient quality? How does data analytics support your metrics? Be sure to fully explain your rationale for selecting these metrics.
Guidelines for Submission: Considering the concepts learned in this lesson and throughout the course, submit a short paper response to the above prompt. Your
paper must be 2–3 pages in length, with double spacing, 12-point Times New Roman font, one-inch margins, and at least three sources cited in APA format.
Critical Elements Exemplary (100%) Proficient (85%) Needs Improvement (55%) Not Evident (0%) Value
Chosen
Metrics
Meets “Proficient” criteria and
justifies why these metrics might
be superior to other metrics
identified by the student
Develops a comprehensive listing
of metrics for operations
managers, taking the triple
bottom line into consideration,
and explains why these metrics
were chosen
Develops a list of several metrics
used by operations managers and
does not fully explain rationale
for selection of these metrics
No appropriate metrics are
identified
20
Performance Meets “Proficient” criteria and
describes unique means of
supporting the sustainability of
the organization
Justifies how each metric
supports the overall financial
performance of the organization
in consideration of appropriate
elements of the triple bottom line
Minimally describes how several
of the metrics support financial
performance
Does not identify how any of the
metrics support financial
performance
20
Data Meets “Proficient” criteria and
describes outcomes of using
inappropriate, inadequate, or
otherwise poor-quality data
Describes the data used to
support metrics and how a
company can ensure that the data
are of sufficient quality
Insufficiently describes the data
that could be used to support the
metrics
Does not identify appropriate
data sources
20
Analytics Meets “Proficient” criteria and
also describes how data analytics
can be used to improve the
identified metrics
Describes how a company can use
data analytics to create and
measure the metrics identified by
the student
Insufficiently describes ways that
data analytics can be used in a
company
Does not address the role of data
analytics
20
Articulation of
Response
Submission is free of errors
related to citations, grammar,
spelling, syntax, and organization
and is presented in a professional
and easy-to-read format
Submission has no major errors
related to citations, grammar,
spelling, syntax, or organization
Submission has major errors
related to citations, grammar,
spelling, syntax, or organization
that negatively impact readability
and articulation of main ideas
Submission has critical errors
related to citations, grammar,
spelling, syntax, or organization
that prevent understanding of
ideas
20
Total 100%

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