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 h