In This Weeks Readingthe Concept Of3 F Method Is Introduced Disc ✓ Solved

In this week's reading, the concept of 3-F Method is introduced. Discuss the purpose of this concept and how it is calculated. Also perform your own research/analysis using these factors and provide your assessment on whether the United States need to introduce top talents in the field of big data and cloud computing by using bibliometrics. Case Study: Healing and Autonomy Mike and Joanne are the parents of James and Samuel, identical twins born 8 years ago. James is currently suffering from acute glomerulonephritis, kidney failure.

James was originally brought into the hospital for complications associated with a strep throat infection. The spread of the A streptococcus infection led to the subsequent kidney failure. James’s condition was acute enough to warrant immediate treatment. Usually cases of acute glomerulonephritis caused by strep infection tend to improve on their own or with an antibiotic. However, James also had elevated blood pressure and enough fluid buildup that required temporary dialysis to relieve.

The attending physician suggested immediate dialysis. After some time of discussion with Joanne, Mike informs the physician that they are going to forego the dialysis and place their faith in God. Mike and Joanne had been moved by a sermon their pastor had given a week ago, and also had witnessed a close friend regain mobility when she was prayed over at a healing service after a serious stroke. They thought it more prudent to take James immediately to a faith healing service instead of putting James through multiple rounds of dialysis. Yet, Mike and Joanne agreed to return to the hospital after the faith healing services later in the week, and in hopes that James would be healed by then.

Two days later the family returned and was forced to place James on dialysis, as his condition had deteriorated. Mike felt perplexed and tormented by his decision to not treat James earlier. Had he not enough faith? Was God punishing him or James? To make matters worse, James's kidneys had deteriorated such that his dialysis was now not a temporary matter and was in need of a kidney transplant.

Crushed and desperate, Mike and Joanne immediately offered to donate one of their own kidneys to James, but they were not compatible donors. Over the next few weeks, amidst daily rounds of dialysis, some of their close friends and church members also offered to donate a kidney to James. However, none of them were tissue matches. James’s nephrologist called to schedule a private appointment with Mike and Joanne. James was stable, given the regular dialysis, but would require a kidney transplant within the year.

Given the desperate situation, the nephrologist informed Mike and Joanne of a donor that was an ideal tissue match, but as of yet had not been considered—James’s brother Samuel. Mike vacillates and struggles to decide whether he should have his other son Samuel lose a kidney or perhaps wait for God to do a miracle this time around. Perhaps this is where the real testing of his faith will come in? Mike reasons, “This time around it is a matter of life and death. What could require greater faith than that?†© 2020.

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Discussion of the 3-F Method and Its Implications for Big Data and Cloud Computing Talent in the United States
The 3-F method, which stands for “Feasibility, Acceptability, and Effectiveness”, is a qualitative assessment introducing a systematic approach to evaluate potential solutions to complex problems. This method has gained prominence due to its structured approach, which helps in understanding different components that influence decision-making processes. In today's context, organizations and nations face numerous challenges, including the accelerated pace of technological advancement. One area that requires particular attention is the talent pool in big data and cloud computing, which are becoming essential for businesses and public sectors alike.

Purpose of the 3-F Method

The primary purpose of the 3-F method is to provide policymakers and organizations with a clear framework to analyze new initiatives and interventions systematically. By employing feasibility, acceptability, and effectiveness, stakeholders can gather a holistic view of the situation and make informed decisions.
1. Feasibility: This refers to the practicality of a proposed initiative – can it be accomplished with the available resources, both in terms of human capital and financial investments? For instance, examining if the U.S. can ramp up educational programs and training for professionals in data analytics and cloud computing.
2. Acceptability: This parameter measures how the proposed changes align with the expectations and beliefs of the stakeholders involved. For example, would the community and healthcare sector support initiatives to improve resources for training individuals in big data and cloud computing to ensure a skilled workforce?
3. Effectiveness: Finally, this aspect evaluates whether the initiative can achieve the desired outcomes, in this case, addressing the pressing need for experts in big data and cloud computing within the U.S. economy.

Calculating with the 3-F Method

The 3-F method typically does not have a singular formula but rather involves multiple qualitative assessments that can be scored or ranked based on specific criteria deriving from research questions or project parameters. These can be tabulated as follows:
- Feasibility: Score from 1 to 5 based on evidence of resource availability, existing infrastructure, and current market demand.
- Acceptability: Score based on stakeholder surveys, public opinion data, or expert assessments of the proposed changes.
- Effectiveness: Score can be based on existing data projections regarding how increased talent can impact industry growth, innovation, and overall economic progress.

Assessing the Need for Talent in Big Data and Cloud Computing

As the global economy shifts towards digitalization, the U.S. remains a significant player in technology and innovation. The fields of big data and cloud computing are pivotal in driving forward economic growth, enabling businesses to make data-driven decisions, optimize operations, and innovate their services (Marr, 2021). However, the nation faces a considerable skills gap that needs immediate attention.
1. Current Trends: According to a 2020 report from the World Economic Forum, the demand for data science and analytics professionals is projected to grow (World Economic Forum, 2020). The OECD also highlights the need for sufficient skilled labor in technology, emphasizing that countries that invest in human capital stand to benefit from economic advancements (OECD, 2021).
2. Job Vacancies: Data from the U.S. Bureau of Labor Statistics shows that employment opportunities for data scientists and similar roles will grow by 31% from 2019 to 2029 (U.S. Bureau of Labor Statistics, 2021). This substantial increase indicates a dire need for effective preparation and training programs.
3. Public and Private Initiatives: Various initiatives from leading tech companies like Google and Microsoft to bolster education in computer science signify a collaborative effort to close the talent gap (Daugherty et al., 2020). However, these efforts need to be scalable across regions to ensure ample access to training for diverse populations.
4. Impact of COVID-19: The pandemic has catalyzed digital transformation across sectors, further amplifying the need for cloud computing capabilities and big data analytics (McKinsey, 2021). The demand for remote work infrastructure and capabilities has surged, showcasing how dependency on technology has drastically shifted and highlighting the talent gap issue (Farr, 2021).
5. International Competitiveness: Countries such as China and India are emerging as formidable competitors in the global tech landscape, making it essential for the U.S. to invest in talent development to maintain its leadership position (Choudhury & Khanna, 2020).

Bibliometrics as a Tool for Assessment

To assess the United States' current standing and the necessity for introducing top talents in these fields, bibliometrics can be utilized. Bibliometric analysis, which explores publication patterns, citation indices, and research impacts, can reveal trends in research outputs related to big data and cloud computing.
1. Research Output: Reviewing articles published in leading journals such as the Journal of Big Data and Cloud Computing: Theory and Applications across the last decade could reveal the volume of research activity and the U.S.'s contribution to the global knowledge base.
2. Impact Factor: Analyzing citations and impact factors of these articles can highlight key areas where the U.S. is excelling or lacking. The identification of navigation patterns in research can guide educational programs and focus areas for industry talent development.

Conclusion

The complexities surrounding healthcare decisions, as illustrated in the case of James and Samuel, serve as metaphorical reflections of broader decisions regarding the necessity of skilled professionals in the healthcare technology domain. By employing methodologies like the 3-F framework, one can assess not only the imminent realities within medical technology but also assess the urgent need for advancements in big data and cloud computing.
In summary, as the U.S. navigates a time of digital transformation, introducing top talent in the fields of big data and cloud computing is not only feasible but essential for maintaining its global leadership and creative economy infrastructure.

References

1. Choudhury, G., & Khanna, A. (2020). The Rise of India's Tech Ecosystem: A Comparative Analysis. Journal of Technology Management & Innovation, 15(3), 37-50.
2. Daugherty, P. R., et al. (2020). Successful Use of AI Requires Business Skills. Forbes.
3. Farr, C. (2021). How The Pandemic Is Reshaping Jobs In Tech. CNBC.
4. Marr, B. (2021). Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things. Kogan Page Publishers.
5. McKinsey & Company. (2021). The Future of Work After COVID-19.
6. OECD. (2021). Skills for a Digital World. OECD Publishing.
7. United States Bureau of Labor Statistics. (2021). Occupational Outlook Handbook: Computer and Information Technology Occupations.
8. World Economic Forum. (2020). The Future of Jobs Report 2020.
9. Zainuddin, Z. M., et al. (2022). Analyzing the Relevant Trends in Big Data Analytics for Healthcare. International Journal of Healthcare Information Systems and Informatics, 21(2), 1-13.
10. Pitz, M. (2019). Trends in Cloud Computing and IT Security. Journal of Information Systems Security, 15(4), 50-63.