Identify a quality improvement opportunity in your organization or practice. In a 1,250-1,500 word paper, describe the problem or issue and propose a quality improvement initiative based on evidence-based practice. Apply "The Road to Evidence-Based Practice" process, illustrated in Chapter 4 of your textbook, to create your proposal.Include the following:Provide an overview the problem and the setting in which the problem or issue occurs.Explain why a quality improvement initiative is needed in this area and the expected outcome.Discuss how the results of previous research demonstrate support for the quality improvement initiative and its projected outcomes. Include a minimum of three peer-reviewed sources published within the last 5 years, not included in the course materials or textbook, that establish evidence in support of the quality improvement proposed.Discuss steps necessary to implement the quality improvement initiative. Provide evidence and rationale to support your answer.Explain how the quality improvement initiative will be evaluated to determine whether there was improvement.Support your explanation by identifying the variables, hypothesis test, and statistical test that you would need to prove that the quality improvement initiative succeeded.While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

Part 1: Globalization and Information Research Context: Companies that perform well in their country of origin usually consider expanding operations in new international markets. Deciding where, how, and when to expand is not an easy task, though. Many issues need to be considered before crafting an expansion strategy and investing significant resources to this end, including: the level of demand to be expected for the company’s products/services presence of local competitors the regulatory, economic, demographic, and political environments Carefully researching and analyzing these and other factors can help mitigate the inherent risk associated with an overseas expansion strategy, thus increasing the likelihood of success. As a data analyst in your company’s business development department, you’ve been tasked with the responsibility of recommending countries for international expansion. You’ll write a report to the company’s executive team with your research, analysis, and recommendations. https://hbr.org/2018/10/how-netflix-expanded-to-19...Instructions: Write a 525-word summary covering the following items: According to the article listed above, what were the most important strategic moves that propelled Netflix’s successful international expansion? The article mentions investments in big data and analytics as one of the elements accompanying the second phase of overseas expansion. Why was this investment important? What type of information did Netflix derive from the data collected? According to the article, what is exponential globalization? Not all international expansion strategies are a resounding success, however. Research an article or video that discusses an instance in which an American company’s expansion efforts in another country failed. According to the article/video you selected, what were the main reasons for this failure? Do you agree with this assessment? Explain some of the reasons why certain companies’ expansion plans have failed in the past. Part 2: Hypothesis testing Context: Your organization is evaluating the quality of its call center operations. One of the most important metrics in a call center is Time in Queue (TiQ), which is the time a customer has to wait before he/she is serviced by a Customer Service Representative (CSR). If a customer has to wait for too long, he/she is more likely to get discouraged and hang up. Furthermore, customers who have to wait too long in the queue typically report a negative overall experience with the call. You’ve conducted an exhaustive literature review and found that the average TiQ in your industry is 2.5 minutes (150 seconds). Another important metric is Service Time (ST), also known as Handle Time, which is the time a CSR spends servicing the customer. CSR’s with more experience and deeper knowledge tend to resolve customer calls faster. Companies can improve average ST by providing more training to their CSR’s or even by channeling calls according to area of expertise. Last month your company had an average ST of approximately 3.5 minutes (210 seconds). In an effort to improve this metric, the company has implemented a new protocol that channels calls to CSR’s based on area of expertise. The new protocol (PE) is being tested side-by-side with the traditional (PT) protocol. Instructions: Access the Call Center Waiting Time file. Each row in the database corresponds to a different call. The column variables are as follows: ProtocolType: indicates protocol type, either PT or PEQueueTime: Time in Queue, in secondsServiceTime: Service Time, in secondsPerform a test of hypothesis to determine whether the average TiQ is lower than the industry standard of 2.5 minutes (150 seconds). Use a significance level of α=0.05. Evaluate if the company should allocate more resources to improve its average TiQ. Perform a test of hypothesis to determine whether the average ST with service protocol PE is lower than with the PT protocol. Use a significance level of α=0.05. Assess if the new protocol served its purpose. (Hint: this should be a test of means for 2 independent groups.) Submit your calculations and a 175-word summary of your conclusions.

Assessment Information Part 2 of the assessment gives you an opportunity to strengthen your skills in gathering and analyzing business-related information. It also provides a deeper understanding of how companies can look at globalization as part of their strategic and operational plans. Part 2b: Hypothesis Testing Your organization is evaluating the quality of its call center operations. One of the most important metrics in a call center is Time in Queue (TiQ), which is the time a customer has to wait before he/she is serviced by a Customer Service Representative (CSR). If a customer has to wait for too long, he/she is more likely to get discouraged and hang up. Furthermore, customers who have to wait too long in the queue typically report a negative overall experience with the call. You’ve conducted an exhaustive literature review and found that the average TiQ in your industry is 2.5 minutes (150 seconds).  Another important metric is Service Time (ST), also known as Handle Time, which is the time a CSR spends servicing the customer. CSR’s with more experience and deeper knowledge tend to resolve customer calls faster. Companies can improve average ST by providing more training to their CSR’s or even by channeling calls according to area of expertise. Last month your company had an average ST of approximately 3.5 minutes (210 seconds). In an effort to improve this metric, the company has implemented a new protocol that channels calls to CSR’s based on area of expertise. The new protocol (PE) is being tested side-by-side with the traditional (PT) protocol.   Download the Call Center Waiting Time database. Each row in the database corresponds to a different call. Column variables are as follows. ProtocolType: indicates protocol type, either PT      or PE  QueueTime: Time in Queue, in seconds ServiceTime: Service Time, in seconds Perform a test of hypothesis to determine whether the average TiQ is lower than the industry standard of 2.5 minutes (150 seconds). Use a significance level ?=0.05.  Evaluate if the company should allocate more resources to improve its average TiQ. Perform a test of hypothesis to determine whether the average ST with service protocol PE is lower than with the PT protocol. Use a significance level ?=0.05.  Assess if the new protocol served its purpose. (Hint: This should be a test of means for 2 independent groups). Write a 175-word summary of your conclusions