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QSO 300 Short Paper Guidelines and RubricOverview: 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 keyconcepts 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.) Howdoes each metric support the overall financial performance of the organization? What data would be used to support this metric and how would you ensure thatthe 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. Yourpaper 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%) ValueChosenMetricsMeets “Proficient” criteria andjustifies why these metrics mightbe superior to other metricsidentified by the studentDevelops a comprehensive listingof metrics for operationsmanagers, taking the triplebottom line into consideration,and explains why these metricswere chosenDevelops a list of several metricsused by operations managers anddoes not fully explain rationalefor selection of these metricsNo appropriate metrics areidentified20Performance Meets “Proficient” criteria anddescribes unique means ofsupporting the sustainability ofthe organizationJustifies how each metricsupports the overall financialperformance of the organizationin consideration of appropriateelements of the triple bottom lineMinimally describes how severalof the metrics support financialperformanceDoes not identify how any of themetrics support financialperformance20Data Meets “Proficient” criteria anddescribes outcomes of usinginappropriate, inadequate, orotherwise poor-quality dataDescribes the data used tosupport metrics and how acompany can ensure that the dataare of sufficient qualityInsufficiently describes the datathat could be used to support themetricsDoes not identify appropriatedata sources20Analytics Meets “Proficient” criteria andalso describes how data analyticscan be used to improve theidentified metricsDescribes how a company can usedata analytics to create andmeasure the metrics identified bythe studentInsufficiently describes ways thatdata analytics can be used in acompanyDoes not address the role of dataanalytics20Articulation ofResponseSubmission is free of errorsrelated to citations, grammar,spelling, syntax, and organizationand is presented in a professionaland easy-to-read formatSubmission has no major errorsrelated to citations, grammar,spelling, syntax, or organizationSubmission has major errorsrelated to citations, grammar,spelling, syntax, or organizationthat negatively impact readabilityand articulation of main ideasSubmission has critical errorsrelated to citations, grammar,spelling, syntax, or organizationthat prevent understanding ofideas20Total 100%
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