Tag: Business & Finance

  • [Solved] OPSCB/574 Competency 3 Assessment and Rubric

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    Executive Solution Overview

    Course Title: Creating Value Through Operations Competency Assessment Title: Supply Chain Operations Plan Total Number of Points: 100 Assignment Directions Use the company that you chose to work with in the second Competency Assessment of this course, which is the company you will use for your entir…

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    Assignment Prompt & Instructions

    Course Title: Creating Value Through Operations
    Competency Assessment Title: Supply Chain Operations Plan
    Total Number of Points: 100
    Assignment Directions
    Use the company that you chose to work with in the second Competency Assessment of this course, which is the company you will use for your entire business
    plan. Build a supply chain plan and diagram for the company by analyzing factors that affect sourcing, logistics, metrics, suppliers, and risk.
    Create your supply chain diagram using one of the following tools:
    • Excel
    • PowerPoint
    • Visio
    • PictoGram
    • PDF
    • Other faculty-approved platform
    Write an 875-word analysis of the supply chain operations plan. Include the following in your analysis:
    • A visual depiction of your supply chain diagram
    • Your supply chain plan
    • Value chain and flow of structure
    • Inputs
    • Outputs, including customer service structure
    • Inventory points and forecasting
    • Sourcing activities
    • Risks
    • Locations
    • Logistics
    Competency Assessment Rubric
    1. Supply chain plan/diagram
    (weight 20%)
    Thoroughly developed the supply
    chain plan/diagram.
    2. Analyze the value chain and flow
    of structures
    (weight 10%)
    Thoroughly analyzed the value chain
    and flow of structures of the supply
    chain.
    3. Analyze inputs
    (weight 10%)
    Thoroughly analyzed the inputs of
    the supply chain.
    4. Analyze outputs, including
    customer services structures.
    (weight 10%)
    Thoroughly analyzed the outputs,
    including customer services
    structures of the supply chain.
    5. Analyze inventory points and
    forecasting
    (weight 10%)
    Thoroughly analyzed inventory
    points and forecasting of the supply
    chain.
    6. Analyze sourcing activities
    (weight 10%)
    Thoroughly analyzed the sourcing
    activities of the supply chain.
    7. Analyze risks
    (weight 10%)
    Thoroughly analyzed risks within the
    supply chain.
    8. Analyze locations
    (weight 10%)
    Thoroughly analyzed the locations
    within the supply chain.
    9. Analyze logistics
    (weight 10%)
    Thoroughly analyzed the logistics of
    the supply chain.
    Zero GPT free, and turnitin free
    This is part 3 of 3
    I will attach part 1 for your reference, that will be word and excel of what i submitted, i am assuming that you are doing part 2 so this part will be easy.
    \
    OPSCB574v1_Comp_3_Rubric.pdf](https://www.sweetstudy.com/files/opscb574v1-comp-3-rubric-pdf-10471495 "OPSCB574v1_Comp_3_Rubric.pdf")
    \
    UpdatedCompetency1-Assessment.docx](https://www.sweetstudy.com/files/updatedcompetency1-assessment-docx "UpdatedCompetency1-Assessment.docx")
    \
    UpdatedExcelfile.xlsx](https://www.sweetstudy.com/files/updatedexcelfile-xlsx "UpdatedExcelfile.xlsx")

  • [Solved] MBA 510 Week Three Discussion 5 Replies. 50 word min. for each student post

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    – ## MBA510WeekThreeDiscussion5RepliesHM.docx **## MBA510WeekThreeDiscussion5RepliesHM.docx** Reply to the TWO students' discussion posts—minimum 50 words. Contributions must display original thinking and good knowledge of the subject matter, including links and references to sources to support your…

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    Assignment Prompt & Instructions

    – ## MBA510WeekThreeDiscussion5RepliesHM.docx

    **## MBA510WeekThreeDiscussion5RepliesHM.docx**

    Reply to the TWO students' discussion posts—minimum 50 words.

    Contributions must display original thinking and good knowledge of the subject matter, including links and references to sources to support your arguments. Additionally, make sure you cite sources you reference in-text and under a “References” section in APA format.

    **Daniel Myers**

    Organizations today operate in an environment where legal compliance alone is no longer enough. While most companies have basic policies to satisfy regulations, many still fall short in proactively addressing their broader ethical and social responsibilities. One of the biggest gaps lies in transparency. Many organizations release carefully curated statements on sustainability, diversity, and data protection, yet their internal practices don’t always align. Improving transparency—through clear reporting, open communication, and honest acknowledgment of shortcomings—would build more trust with employees and consumers (Edelman Trust Barometer, 2024).

    Another area that needs improvement is data ethics. As businesses adopt AI, automation, and large-scale data analytics, the ethical use of customer and employee data becomes increasingly critical. Companies should not only comply with privacy regulations like GDPR but also implement internal review boards, bias audits, and ethical guidelines to ensure technology decisions don’t unintentionally harm individuals or communities (Jobin et al., 2019). These steps go beyond legality—they reflect moral responsibility.

    Social responsibility is another space where organizations often take a passive rather than active role. Many companies talk about community involvement, but meaningful social responsibility means sustained action, not seasonal donations or marketing campaigns. This can include long-term partnerships with local schools, workforce development programs, or environmental initiatives tied directly to the company’s operations. When organizations embed social responsibility into strategy rather than treating it as public relations, the impact becomes far more authentic.

    Ultimately, organizations can improve by shifting from a compliance mindset to a
    **values-driven mindset**. Legal requirements establish a baseline, but ethical and social responsibility demand intentional leadership, internal accountability, and a willingness to act before external pressure forces change. Companies that embrace this approach build stronger cultures and more sustainable long-term success.

    **References**

    Edelman. (2024).
    _Edelman Trust Barometer_. https://www.edelman.com/trust-barometer
    Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines.
    _Nature Machine Intelligence, 1_(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2

    **Will McMahan**

    Organizations are judged not only by their financial performance but also by how well they uphold legal, ethical, and social responsibilities. While many companies have compliance programs and corporate social responsibility (CSR) initiatives, there is still significant room for improvement. A common shortfall is treating legal and ethical responsibilities as checklists designed merely to avoid penalties. True accountability requires embedding ethics into organizational culture. This means encouraging employees to ask not only “Is this legal?” but also “Is this right?” Scenario-based training and leadership modeling can help employees navigate ethical gray areas, fostering integrity rather than minimal compliance.

    Organizations often respond to crises reactively, only after reputational damage has occurred. A more effective approach is proactive engagement with all stakeholders, including employees, customers, communities, and regulators. Transparent communication and early dialogue build trust and allow companies to anticipate concerns before they escalate. CSR is frequently treated as peripheral philanthropy or branding. Instead, it should be integrated into the value chain. Supply chain decisions, for example, should prioritize sustainability and fair labor practices alongside cost efficiency. Research shows that CSR initiatives, when embedded strategically, can enhance brand reputation, attract talent, and improve operational resilience (Hall, n.d.).

    With AI and data analytics reshaping industries, organizations must ensure responsible use of technology. This includes protecting consumer privacy, preventing algorithmic bias, and being transparent about data usage. Ethical technology practices are now central to maintaining legitimacy in the digital age. Finally, vague commitments are insufficient. Organizations should publish clear, measurable goals, such as carbon reduction targets or diversity benchmarks, and subject them to independent audits. This creates accountability and demonstrates genuine commitment to stakeholders. As Himick (2025) argues, strengthening corporate ethics requires transparent reporting and ethical leadership to foster sustainable success. By embedding ethics into culture, engaging stakeholders proactively, integrating CSR into strategy, governing technology responsibly, and committing to measurable outcomes, organizations can elevate their responsibilities. These steps not only mitigate risk but also build trust, resilience, and long-term value in a world where responsibility is inseparable from success.

    -Will

    References
    Hall, A. (n.d.). Corporate social responsibility and legal compliance. Aaron Hall Law.
    [https://aaronhall.com/corporate-social-responsibility-and-legal-compliance/](https://aaronhall.com/corporate-social-responsibility-and-legal-compliance/)

    Himick, C. (2025). Corporate ethics and legal accountability: Navigating ethical dilemmas in business. Academy of Accounting and Financial Studies Journal.
    [https://www.abacademies.org/articles/corporate-ethics-and-legal-accountability-navigating-ethical-dilemmas-in-business.pdf](https://www.abacademies.org/articles/corporate-ethics-and-legal-accountability-navigating-ethical-dilemmas-in-business.pdf)

    **## MBA510WeekThreeDiscussion5RepliesHM.docx**

    Reply to the TWO students' discussion posts—minimum 50 words.

    Contributions must display original thinking and good knowledge of the subject matter, including links and references to sources to support your arguments. Additionally, make sure you cite sources you reference in-text and under a “References” section in APA format.

    **Daniel Myers**

    Organizations today operate in an environment where legal compliance alone is no longer enough. While most companies have basic policies to satisfy regulations, many still fall short in proactively addressing their broader ethical and social responsibilities. One of the biggest gaps lies in transparency. Many organizations release carefully curated statements on sustainability, diversity, and data protection, yet their internal practices don’t always align. Improving transparency—through clear reporting, open communication, and honest acknowledgment of shortcomings—would build more trust with employees and consumers (Edelman Trust Barometer, 2024).

    Another area that needs improvement is data ethics. As businesses adopt AI, automation, and large-scale data analytics, the ethical use of customer and employee data becomes increasingly critical. Companies should not only comply with privacy regulations like GDPR but also implement internal review boards, bias audits, and ethical guidelines to ensure technology decisions don’t unintentionally harm individuals or communities (Jobin et al., 2019). These steps go beyond legality—they reflect moral responsibility.

    Social responsibility is another space where organizations often take a passive rather than active role. Many companies talk about community involvement, but meaningful social responsibility means sustained action, not seasonal donations or marketing campaigns. This can include long-term partnerships with local schools, workforce development programs, or environmental initiatives tied directly to the company’s operations. When organizations embed social responsibility into strategy rather than treating it as public relations, the impact becomes far more authentic.

    Ultimately, organizations can improve by shifting from a compliance mindset to a
    **values-driven mindset**. Legal requirements establish a baseline, but ethical and social responsibility demand intentional leadership, internal accountability, and a willingness to act before external pressure forces change. Companies that embrace this approach build stronger cultures and more sustainable long-term success.

    **References**

    Edelman. (2024).
    _Edelman Trust Barometer_. https://www.edelman.com/trust-barometer
    Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines.
    _Nature Machine Intelligence, 1_(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2

    **Will McMahan**

    Organizations are judged not only by their financial performance but also by how well they uphold legal, ethical, and social responsibilities. While many companies have compliance programs and corporate social responsibility (CSR) initiatives, there is still significant room for improvement. A common shortfall is treating legal and ethical responsibilities as checklists designed merely to avoid penalties. True accountability requires embedding ethics into organizational culture. This means encouraging employees to ask not only “Is this legal?” but also “Is this right?” Scenario-based training and leadership modeling can help employees navigate ethical gray areas, fostering integrity rather than minimal compliance.

    Organizations often respond to crises reactively, only after reputational damage has occurred. A more effective approach is proactive engagement with all stakeholders, including employees, customers, communities, and regulators. Transparent communication and early dialogue build trust and allow companies to anticipate concerns before they escalate. CSR is frequently treated as peripheral philanthropy or branding. Instead, it should be integrated into the value chain. Supply chain decisions, for example, should prioritize sustainability and fair labor practices alongside cost efficiency. Research shows that CSR initiatives, when embedded strategically, can enhance brand reputation, attract talent, and improve operational resilience (Hall, n.d.).

    With AI and data analytics reshaping industries, organizations must ensure responsible use of technology. This includes protecting consumer privacy, preventing algorithmic bias, and being transparent about data usage. Ethical technology practices are now central to maintaining legitimacy in the digital age. Finally, vague commitments are insufficient. Organizations should publish clear, measurable goals, such as carbon reduction targets or diversity benchmarks, and subject them to independent audits. This creates accountability and demonstrates genuine commitment to stakeholders. As Himick (2025) argues, strengthening corporate ethics requires transparent reporting and ethical leadership to foster sustainable success. By embedding ethics into culture, engaging stakeholders proactively, integrating CSR into strategy, governing technology responsibly, and committing to measurable outcomes, organizations can elevate their responsibilities. These steps not only mitigate risk but also build trust, resilience, and long-term value in a world where responsibility is inseparable from success.

    -Will

    References
    Hall, A. (n.d.). Corporate social responsibility and legal compliance. Aaron Hall Law.
    [https://aaronhall.com/corporate-social-responsibility-and-legal-compliance/](https://aaronhall.com/corporate-social-responsibility-and-legal-compliance/)

    Himick, C. (2025). Corporate ethics and legal accountability: Navigating ethical dilemmas in business. Academy of Accounting and Financial Studies Journal.
    [https://www.abacademies.org/articles/corporate-ethics-and-legal-accountability-navigating-ethical-dilemmas-in-business.pdf](https://www.abacademies.org/articles/corporate-ethics-and-legal-accountability-navigating-ethical-dilemmas-in-business.pdf)

  • [Solved] MBA 510 Week Three Discussion 6 Replies. 50 word min. for each student post.

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    – ## MBA510WeekThreeDiscussion6RepliesHM.docx **## MBA510WeekThreeDiscussion6RepliesHM.docx** Reply to the TWO students' discussion posts—minimum 50 words. Contributions must display original thinking and good knowledge of the subject matter, including links and references to sources to support your…

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    Assignment Prompt & Instructions

    – ## MBA510WeekThreeDiscussion6RepliesHM.docx

    **## MBA510WeekThreeDiscussion6RepliesHM.docx**

    Reply to the TWO students' discussion posts—minimum 50 words.

    Contributions must display original thinking and good knowledge of the subject matter, including links and references to sources to support your arguments. Additionally, make sure you cite sources you reference in-text and under a “References” section in APA format.

    **MAXWELL BANFUL**

    A typical workday for an employee in the future is going to look very different from what we’re used to today. Instead of jumping straight into emails or meetings, most people will probably start their day by checking an AI dashboard that summarizes priorities, alerts, and tasks based on real-time data. AI won’t replace the employee but will act more like a personal assistant that handles the routine noise so people can focus on the meaningful parts of their job. Employees will interact with AI tools constantly, whether they’re asking for data, generating reports, or using predictive systems to plan their work. The goal isn’t just efficiency; it’s reducing mental clutter so employees can think strategically instead of jumping from task to task.

    Human interaction will still matter, but it will look different. Instead of long meetings, teams will collaborate through mixed-reality workspaces or virtual rooms where people be it remote or onsite will feel like they’re sitting at the same table. Employees will interact with colleagues across different regions more often because physical location will matter far less. Communication will also be more intentional. Because AI handles basic coordination, human conversations will focus on creativity, problem-solving, decision-making, and relationship-building.

    The actual work employees do will become more analytical, creative, and personalized. Many repetitive taskssuch as data entry, scheduling, documentation, and basic troubleshooting will be automated. Employees will need strong digital skills, emotional intelligence, and the ability to work alongside advanced systems. They’ll also be expected to question AI recommendations, understand ethical implications, and ensure decisions align with company values. In many ways, employees will become AI supervisors, using human judgment to guide automated systems.

    Overall, the future employee’s day will blend technology, critical thinking, and human connection. Work will feel more flexible, more focused, and hopefully more meaningful because people will spend more time doing what they’re truly good at and less time doing what machines can handle.

    Brynjolfsson, E., & McAfee, A. (2017).
    _The business of artificial intelligence_. Harvard Business Review.
    Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world.
    _Harvard Business Review, 96_(1), 108–116.

    **Tommy Huynh**

    In the future, an employee’s workday will be shaped heavily by AI and smart technology. Instead of spending most of their time on routine tasks, workers will use AI tools that help organize their day, point out problems early, and automate basic work. Employees will still work with other people, but they’ll also interact with digital assistants, chatbots, and AI systems almost every hour.

    Most employees will start their day by checking an AI dashboard that shows their top tasks, upcoming deadlines, and anything that needs attention. These tools will save time by sorting emails, drafting simple reports, and giving quick summaries of important information (Davenport & Ronanki, 2018). This means people can focus more on solving problems, talking with customers, or working on projects rather than doing repetitive work.

    Workers will also rely more on AI for decision-making. Instead of searching through spreadsheets or reports, employees will simply ask the system a question and get instant results. Human teamwork will still matter, but the work itself will shift toward creativity, communication, and thinking through complex situations.

    **Example 1:**
    In healthcare, nurses and doctors will use AI to monitor patients, predict health issues, and help identify the right treatment. This lets medical staff spend more time caring for patients and less time doing paperwork. Some hospitals already using AI have seen fewer mistakes and faster responses (Topol, 2019).

    **Example 2:**
    In retail, store workers will use smart inventory systems that track products, restock automatically, and show what customers are buying. Employees can focus more on helping shoppers instead of counting items. Walmart already uses these types of tools to make daily work easier (Sharda et al., 2023).

    Overall, the future workday will involve constant interaction with AI systems, making jobs faster, more efficient, and more focused on human skills instead of repetitive chores.

    Reference

    Davenport, T. H., & Ronanki, R. (2018).
    _Artificial intelligence for the real world._ Harvard Business Review, 96(1), 108–116.
    Sharda, R., Delen, D., & Turban, E. (2023).
    _Analytics, data science, and artificial intelligence_ (12th ed.). Pearson.
    Topol, E. (2019).
    _Deep medicine._ Basic Books.

    **## MBA510WeekThreeDiscussion6RepliesHM.docx**

    Reply to the TWO students' discussion posts—minimum 50 words.

    Contributions must display original thinking and good knowledge of the subject matter, including links and references to sources to support your arguments. Additionally, make sure you cite sources you reference in-text and under a “References” section in APA format.

    **MAXWELL BANFUL**

    A typical workday for an employee in the future is going to look very different from what we’re used to today. Instead of jumping straight into emails or meetings, most people will probably start their day by checking an AI dashboard that summarizes priorities, alerts, and tasks based on real-time data. AI won’t replace the employee but will act more like a personal assistant that handles the routine noise so people can focus on the meaningful parts of their job. Employees will interact with AI tools constantly, whether they’re asking for data, generating reports, or using predictive systems to plan their work. The goal isn’t just efficiency; it’s reducing mental clutter so employees can think strategically instead of jumping from task to task.

    Human interaction will still matter, but it will look different. Instead of long meetings, teams will collaborate through mixed-reality workspaces or virtual rooms where people be it remote or onsite will feel like they’re sitting at the same table. Employees will interact with colleagues across different regions more often because physical location will matter far less. Communication will also be more intentional. Because AI handles basic coordination, human conversations will focus on creativity, problem-solving, decision-making, and relationship-building.

    The actual work employees do will become more analytical, creative, and personalized. Many repetitive taskssuch as data entry, scheduling, documentation, and basic troubleshooting will be automated. Employees will need strong digital skills, emotional intelligence, and the ability to work alongside advanced systems. They’ll also be expected to question AI recommendations, understand ethical implications, and ensure decisions align with company values. In many ways, employees will become AI supervisors, using human judgment to guide automated systems.

    Overall, the future employee’s day will blend technology, critical thinking, and human connection. Work will feel more flexible, more focused, and hopefully more meaningful because people will spend more time doing what they’re truly good at and less time doing what machines can handle.

    Brynjolfsson, E., & McAfee, A. (2017).
    _The business of artificial intelligence_. Harvard Business Review.
    Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world.
    _Harvard Business Review, 96_(1), 108–116.

    **Tommy Huynh**

    In the future, an employee’s workday will be shaped heavily by AI and smart technology. Instead of spending most of their time on routine tasks, workers will use AI tools that help organize their day, point out problems early, and automate basic work. Employees will still work with other people, but they’ll also interact with digital assistants, chatbots, and AI systems almost every hour.

    Most employees will start their day by checking an AI dashboard that shows their top tasks, upcoming deadlines, and anything that needs attention. These tools will save time by sorting emails, drafting simple reports, and giving quick summaries of important information (Davenport & Ronanki, 2018). This means people can focus more on solving problems, talking with customers, or working on projects rather than doing repetitive work.

    Workers will also rely more on AI for decision-making. Instead of searching through spreadsheets or reports, employees will simply ask the system a question and get instant results. Human teamwork will still matter, but the work itself will shift toward creativity, communication, and thinking through complex situations.

    **Example 1:**
    In healthcare, nurses and doctors will use AI to monitor patients, predict health issues, and help identify the right treatment. This lets medical staff spend more time caring for patients and less time doing paperwork. Some hospitals already using AI have seen fewer mistakes and faster responses (Topol, 2019).

    **Example 2:**
    In retail, store workers will use smart inventory systems that track products, restock automatically, and show what customers are buying. Employees can focus more on helping shoppers instead of counting items. Walmart already uses these types of tools to make daily work easier (Sharda et al., 2023).

    Overall, the future workday will involve constant interaction with AI systems, making jobs faster, more efficient, and more focused on human skills instead of repetitive chores.

    Reference

    Davenport, T. H., & Ronanki, R. (2018).
    _Artificial intelligence for the real world._ Harvard Business Review, 96(1), 108–116.
    Sharda, R., Delen, D., & Turban, E. (2023).
    _Analytics, data science, and artificial intelligence_ (12th ed.). Pearson.
    Topol, E. (2019).
    _Deep medicine._ Basic Books.

  • [Solved] Business Finance – Operations Management Can someone do my Week 6 Assignment in MHA 618 Health Economics?

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    This week, you are tasked with developing a 12- to 15-page healthcare service proposal plan that introduces a newly designed product service or an upgrade to an existing healthcare service. You may choose a real-world or fictional healthcare organization. For example, you may choose one of the follo…

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    Assignment Prompt & Instructions

    This week, you are tasked with developing a 12- to 15-page healthcare service proposal plan that introduces a newly designed product service or an upgrade to an existing healthcare service. You may choose a real-world or fictional healthcare organization. For example, you may choose one of the following:
    – a hospital
    – a long-term care facility
    – home healthcare
    – renal care organization
    The Healthcare Service Proposal must contain the provided headers. Refer to the [_APA Style Elements_Links to an external site.](https://writingcenter.uagc.edu/apa-style-elements) resource for guidance on formatting APA level headings.
    **Executive Summary**
    In your final paper,
    – Develop a brief summary of the intended healthcare service.
    – Refer to [_Writing an Executive Summary_Links to an external site.](https://writingcenter.uagc.edu/writing-executive-summary) for guidance.
    **Introduction**
    In your final paper,
    – State the objectives of the proposed healthcare service, including marginal and average productivity.
    – Explain how your healthcare service will achieve its intended objectives.
    **Strategic Effect**
    In your final paper,
    – Analyze the role of public policy in your proposed service.
    – What policies and processes should be in place to create an effective service?
    – Develop a microeconomic model responsive to your target population’s specific healthcare service demands.
    – For example, you might consider the current trend of the medical home model, which allows for care coordination, better communication among service providers, and convenience for patients.
    – Explain how your healthcare service will serve a need for your target population.
    **Market Analysis**
    In your final paper,
    – Identify the population demographics.
    – Who are your competitors?
    – Identify whether a real need for your proposed healthcare service exists in the community.
    – Describe any competitors and if they exist in the present climate.
    – **Note:** This requires an evaluation of the present socioeconomic and cultural trends influencing how people make decisions in healthcare.
    – Compare and contrast economic challenges and incentives among healthcare organization models.
    – This comparison requires understanding past challenges and incentives that other organizations have implemented.
    **Financial Analysis:** This section includes the revenue, expenses, and net income.
    In your final paper,
    – Compare and contrast economic challenges and incentives by finding and describing multiple sources of public and private funding (e.g., grants, donations, awards, special projects) for this project.
    – Describe the fixed and variable costs associated with short and long-term cost production for your healthcare service.
    – Explain the annual maintenance and operation costs for your proposed healthcare service.
    **Outlook:** This section examines future implications of your proposed healthcare service and how it will impact the community’s future health outcomes and the financial health of the services being provided.
    In your final paper,
    – Analyze economies and diseconomies that are germane to the provision of your proposed healthcare service.
    – Describe adjustments you might need to make regarding the potential “unintended consequences.”
    – Example: Baylor Hospital in Houston proposed and spent $250 million to create a brand-new hospital that currently stands empty because it was built during the U.S. economic downturn, the loan was no longer able to finance the construction, and the initial examination of its necessity did not play out as expected.
    – Analyze social, legal, political, and technological issues that could affect your healthcare service proposal.
    The Healthcare Production and Cost and the Workforce Market final paper
    – must be 12 to 15 double-spaced pages in length (not including title and references pages) and formatted according to [_APA Style_Links to an external site.](https://writingcenter.uagc.edu/apa-style) as outlined in the Writing Center’s [_APA Formatting for Microsoft Word_Links to an external site.](https://writingcenter.uagc.edu/apa-formatting-microsoft-word) resource.
    – must include a separate title page with the following in title case:
    – title of paper in bold font
    – Space should appear between the title and the rest of the information on the title page.
    – student’s name
    – name of institution (The University of Arizona Global Campus)
    – course name and number
    – instructor’s name
    – due date
    – must utilize academic voice.
    – Review the [_Academic Voice_Links to an external site.](https://writingcenter.uagc.edu/academic-voice) resource for additional guidance.
    – must include an introduction and conclusion paragraph.
    – Your introduction paragraph needs to end with a clear thesis statement that indicates the purpose of your paper.
    – For assistance in writing [_Introductions & Conclusions_Links to an external site.](https://writingcenter.uagc.edu/introductions-conclusions) and [_Writing a Thesis Statement_Links to an external site.](https://writingcenter.uagc.edu/writing-a-thesis), refer to the Writing Center resources.
    – must use at least 6 scholarly sources that were published within the last 5 years in addition to the course text, including a minimum of three peer-reviewed sources from the University of Arizona Global Campus Library.
    – The [_Scholarly, Peer-Reviewed, and Other Credible Sources_Links to an external site.](https://content.bridgepointeducation.com/curriculum/file/e5359309-7d3c-4a21-a410-44d59303ccef/1/Scholarly%20Peer-Reviewed%20and%20Other%20Credible%20Sources.pdf) table offers additional guidance on appropriate source types. If you have questions about whether a specific source is appropriate for this assignment, please contact your instructor. Your instructor has the final say about the appropriateness of a specific source.
    – To assist you in completing the research required for this assignment, refer to this [_Quick and Easy Library Research_Links to an external site.](https://ashford.mediaspace.kaltura.com/media/Ashford+University+Library+Quick+%27n%27+Dirty/0_bcsbcjee) tutorial, which introduces the University of Arizona Global Campus Library and the research process, and provides some library search tips.
    – You may also refer to the [_How to Use Library OneSearch_Links to an external site.](https://ashford.mediaspace.kaltura.com/media/How+to+Use+Library+OneSearch/0_sijzep60) tutorial, which explains keyword searching process in the library to find scholarly articles, or the [_Advanced Internet Search Techniques_Links to an external site.](https://content.bridgepointeducation.com/curriculum/file/a3575b8c-04d9-4192-a01e-5a6e0b97355b/1/Advanced%20Internet%20Search%20Techniques.pdf) tip sheet, which provides some tips and strategies to make finding credible online research in a search engine such as Google easier and more efficient.
    – must document any information used from sources in APA Style as outlined in the Writing Center’s [_APA: Citing Within Your Paper_Links to an external site.](https://writingcenter.uagc.edu/apa-citing-within-your-paper) guide.
    – must include a separate references page that is formatted according to APA Style as outlined in the Writing Center.
    – Refer to the [_APA: Formatting Your References List_Links to an external site.](https://writingcenter.uagc.edu/format-your-reference-list) resource in the Writing Center for specifications.
    \
    SampleExecutiveSummary-finalpaperexample.pdf](https://www.sweetstudy.com/files/sampleexecutivesummary-finalpaperexample-pdf "SampleExecutiveSummary-finalpaperexample.pdf")
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    MHA618_Week06_HealthcareServiceProposal.pdf](https://www.sweetstudy.com/files/mha618-week06-healthcareserviceproposal-pdf "MHA618_Week06_HealthcareServiceProposal.pdf")

  • [Solved] Week 4 Discussion Response- Managerial Finance

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    **Colleague 1** Lydia Alobwede Evidence-based decision making (EBDM) emphasizes using reliable data, stakeholder input, and professional expertise to guide organizational choices (CEBMa, 2017). In contrast, decision-based evidence making occurs when leaders choose a path first and then search for ev…

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    **Colleague 1**
    Lydia Alobwede
    Evidence-based decision making (EBDM) emphasizes using reliable data, stakeholder input, and professional expertise to guide organizational choices (CEBMa, 2017). In contrast, decision-based evidence making occurs when leaders choose a path first and then search for evidence to justify it (Tingling & Brydon, 2010). I have experienced both approaches in practice, and the outcomes were notably different.
    My Professional Experiences
    In a previous role, my team used EBDM to plan a project under a strict schedule and budget. We analyzed historical velocity data, team capacity, and internal survey feedback to determine how much work to commit to each iteration. This evidence-based approach enabled us to complete the project on time and within budget.
    In another instance, my team decided to switch courier vendors due to frequent delivery delays. However, we made this decision _before_ gathering performance data on the new vendor. Only afterward did we learn that the new vendor had similar issues, which prolonged delays and reduced throughput. This reflected decision-based evidence making and led to preventable inefficiencies.
    Comparison of Outcomes
    Using evidence in the first situation resulted in accurate planning, improved predictability, and stronger stakeholder confidence. In contrast, the lack of evidence in the vendor decision created operational setbacks and eroded trust. While decision-based evidence making may offer speed, it often increases risk and leads to suboptimal outcomes (Tingling & Brydon, 2010). EBDM, though more time-intensive, produces more reliable and sustainable results.
    Promoting Positive Social Change Through EBDM
    Evidence-based decision making can support positive social change by:
    1. Enhancing fairness and transparency—reducing bias and increasing trust among employees and stakeholders (CEBMa, 2017).
    2. Improving resource stewardship—ensuring decisions benefit the broader community and align with ethical, data-informed practices (Walden University, LLC, 2021b).
    Overall, my experiences affirm that EBDM not only strengthens business outcomes but also contributes to more ethical and socially responsible organizational cultures.
    **References:**
    California Management Review. (2018). _Evidence-based management_ [Video]. YouTube.
    CEBMa. (2017). _What is evidence-based management and why do we need it?_ [Video]. YouTube.
    Tingling, P., & Brydon, M. (2010). Is decision-based evidence making necessarily bad? _MIT Sloan Management Review, 51_(4), 71–76.
    Walden University, LLC. (2021b). _Evidence-based decision making_ [Video]. Walden University Canvas.
    **Colleague 2**
    Tameika Coates
    **Evidence-Based Decision Making**
    Nursing is a profession that requires the use of research evidence to make informed decisions regarding client care and to maintain safe nursing practices within health care facilities. From my experience, I have worked with both types of evidence-based nursing practices. The ones where I make a clinical decision based on scientific evidence before doing anything else, and the opposite, where I first intervene and then seek evidence after an event occurs, with each case resulting in a different outcome.
    In one instance, I had a large number of falls in my facility, so I began investigating the causes of these unnecessary falls. I compiled the fall reports from our data collection system and analyzed the time of day and the patient's mobility level at the time of the falls. I then reviewed the current literature on best practices for preventing patient falls, found evidence supporting the implementation of hourly rounding and adherence to bed alarm protocols, and put these evidence-based recommendations into practice. It is crucial to pilot evidence-based approaches, as this gives clinicians a chance to verify their effectiveness, recognize potential problems, and adjust interventions before implementing them on a large scale (Rousseau, 2018). Through piloting these evidence-based approaches, we experienced a significant decrease in patient falls and an increase in staff confidence when caring for patients at risk of falls. This instance demonstrated how an evidence-based approach increases patient safety and positively affects the overall outcome of nurse teamwork.
    In contrast, I once trusted my intuition to make a hurried decision without properly reviewing the evidence. While I was giving medication to a patient who was becoming more and more agitated, I supposed that the agitation was due to the patient's anxiety. Acting on that assumption only, I called the doctor to ask for an anxiolytic. Additional evaluations later revealed that the patient's agitation was caused by pain from a urinary tract infection. If only I had first done a thorough assessment, I could have given the correct treatment earlier, and consequently, I would not have been kept waiting. It was almost a terrible situation, but the event that happened gave a clear warning about the risks of making decisions on your own and then supporting them afterwards without really thinking them through, particularly in medical settings.
    When I compare these two different experiences, I see that evidence-based decision-making has many advantages over making a decision first. Evidence-based decision-making provides a clear, safe, efficient outcome, and most importantly, the patient's treatment is based on the patient's actual needs, thus reducing the risk of harm and improving the quality of care. The primary disadvantage of an evidence-based approach is the time required to gather all necessary information. Conversely, making a quick decision increases the likelihood of being influenced by bias and of providing ineffective or poorly matched treatment interventions.
    In healthcare organizations, evidence-based decision-making is the primary driver of positive social change. Firstly, it helps establish a culture of responsibility and fairness by basing decisions on verified data rather than making assumptions or following the hierarchy (Walden University, LLC, 2021). Secondly, it deepens the call for changes at the system level, such as staff organizing, safety procedures, and equal care practices, as the suggestions are backed by data and research, not opinion. Hence, by adopting evidence-based approaches, social healthcare organizations become safer, more just, and more patient-centered.
    **References:**
    Rousseau, D. M. (2018). _Is decision-based evidence making necessarily bad?_ _Industrial and Organizational Psychology, 11_(1), 34–41. [https://tinyurl.com/yssya85mLinks to an external site.](https://tinyurl.com/yssya85m)
    Walden University, LLC. (2021). _Evidence-based decision making_ [Video]. Walden University Canvas. [https://waldenu.instructure.com](https://waldenu.instructure.com/)
    \
    Week4LearningResources-ManagerialFinance.docx](https://www.sweetstudy.com/files/week4learningresources-managerialfinance-docx-10471243 "Week4LearningResources-ManagerialFinance.docx")

  • [Solved] Scenario Analysis: Vacation Time

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    Assignment information and rubric are attached. Assignment has to be 1-2 pages with a minimum of 2-3 references. \ 6-2Scenario.png](https://www.sweetstudy.com/files/6-2scenario-png "6-2Scenario.png") \ RubricforModule5-2.png](https://www.sweetstudy.com/files/rubricformodule5-2-png-10471325 "Rubric…

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    Assignment information and rubric are attached. Assignment has to be 1-2 pages with a minimum of 2-3 references.
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  • [Solved] Paraphase of 1700 words

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    I need to paraphrase the attached report in an academic manner to be free of AI-generated content and free of plagiarism. I need 0 Ai content. This is while maintaining the same formatting, layout, (1700 words excluding references), same font size and spaces. I need paraphrasing in a professional ma…

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    I need to paraphrase the attached report in an academic manner to be free of AI-generated content and free of plagiarism. I need 0 Ai content. This is while maintaining the same formatting, layout, (1700 words excluding references), same font size and spaces. I need paraphrasing in a professional manner.
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  • [Solved] rephrase

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    i have to rephrase the highlighted sentence in order to remove the AI detector. – ## therroleofESGBubshait.doc – 26790-Other-122442-1-18-20251216.pdf **## therroleofESGBubshait.doc** [removed] **26790-Other-122442-1-18-20251216.pdf** This file is too large to display. [View in new window](https://…

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    i have to rephrase the highlighted sentence in order to remove the AI detector.

    – ## therroleofESGBubshait.doc

    – 26790-Other-122442-1-18-20251216.pdf

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  • [Solved] tutor

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  • [Solved] TUTOR

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