In this discussion, you will use what you have learned about decision-making models to solve organizational problem.

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In this discussion, you will use what you have learned about decision-making models to solve organizational problem.

Decision-making models are critical for making informed and consistent decisions. In this discussion, you will use what you have learned about decision-making models to solve the organizational problem below.

Solve the organizational problem

Scenario

Imagine that you are an organizational consultant for the SNHU Pet Supply Company. You have been asked to recommend who should lead a new initiative to expand the company’s online presence. After several discussions and interviews, the leadership team has shortlisted two candidates. Each candidate brings a different set of skills and expertise to the table and poses a few challenges.

The first candidate, Myra, is a 15-year veteran of the organization who has worked her way up from an intern to a very capable product manager. She has extensive knowledge of the company’s products and services and embodies the company’s culture and vision in her work. Myra is not well-versed in e-commerce and the technologies that will be needed to implement and launch the company’s online initiative. However, she is a fast learner, and the management position doesn’t require too much in-depth knowledge of technologies.

The second candidate, Michael, was hired six months ago and shows great promise as a leader and manager. He has an MBA from a reputable university and worked for a technology startup for three years before joining the company. He has no experience in pet supplies or related industries, but knows how to launch an online company from the ground up.

In this discussion, you will use what you have learned about decision-making models to solve the organizational problem

In your initial post, address the following:

· Compare and contrast two different decision-making models addressed in your course resources, explaining how each would be used to approach the hiring decision.
· Recommend which of the two decision-making models would be the best suited to help make the hiring decision, and why.

**In your response posts to at least two peers, explain how the model you recommended compares with the one your peers recommended using and how it would influence the decision-making process and outcome. You may use the following questions to help develop your response:

· What can examining a business problem through the lens of different decision-making models teach us about decision-making?
· What other business decisions or situations would your peers’ recommended decision-making models be most appropriate, and why?
· What other business decisions or situations would your recommended decision-making model be most appropriate, and why?
· Do you have questions for your peers about why they recommended the model they did?

Nicollete Response
I believe that leaders use the rational decision-making model more commonly than the intuitive. I feel that maybe the rational decision-making model is used when there is more time to sit and weigh all of the different parts. I do also feel though that intuitive decision-making could be very important in the workplace when someone has past experiences and knowledge accumulated over the years. I would use rational decision-making to choose Michael due to his previous experience at a technology startup and his knowledge on launching an online company. I would use intuitive decision-making to choose Myra with her being with the company for 15 years and fully knowing the company’s products and services. Myra may not have the knowledge that Michael has on e-commerce and technologies, but she can learn with the correct guidance. I believe that Myra has proven her loyalty and motivation for this company, and it would only be fair to give her the opportunity. I would recommend using the intuitive decision-making models to help make the hiring decision.

Kmya Response
I feel that in my readings, I lean towards the 8 step process because the justification of each answer I would say that Myra is the best candidate for the position. The justification I’m speaking of is that she has experience in the company and the only downfall is that she’s not experienced in technology. Additionally, the other candidate, Michael has potential and I would keep a great eye on him and how he works in this setting.

Anyway, the 8-step process is the best way to help you understand the candidate, how they will work, and whos the best to fill in this position. In my reading, I saw that I needed to work on my efficiency with making decisions. I ponder way too long to decide because of the fear of making the wrong decision. With these steps, I can answer with clear and understandable answers without emotion being tied into them.

What are the 13 steps in the criminal justice decision-making process?

The criminal justice process can vary depending on a case’s jurisdiction and specific circumstances. However, generally speaking, the criminal justice process can include the following steps:

  1. Investigation and arrest
  2. Initial appearance and bail
  3. Pretrial detention and release
  4. Indictment or information
  5. Arraignment
  6. Pretrial motions and discovery
  7. Plea bargaining
  8. Trial
  9. Sentencing
  10. Appeal
  11. Post-conviction remedies
  12. Execution of sentence
  13. Parole or probation

Not all cases go through all of these steps, and the order or specific procedures may also vary.

What risk calculator is utilized in clinical decision making for antihypertensive and statin therapy?

Several risk calculators are commonly used in clinical decision-making for antihypertensive and statin therapy. Two of the most widely used and well-validated risk calculators are:

  1. The Framingham Risk Score (FRS) – this calculator is used to estimate a person’s 10-year risk of developing cardiovascular disease (CVD), such as heart attack or stroke. The FRS takes into account factors such as age, sex, total cholesterol, HDL cholesterol, systolic blood pressure, smoking status, and diabetes status.
  2. The ASCVD Risk Estimator – this calculator is also used to estimate a person’s 10-year risk of developing CVD, but it also includes additional factors such as race and family history of premature CVD.

Both FRS and ASCVD Risk Estimator are validated and recommended by the American College of Cardiology (ACC) and American Heart Association (AHA) and are widely used in clinical practice.

It’s worth noting that risk calculators are just one of the many tools used in the clinical decision making process. They are not the only factors that are taken into account when deciding whether to prescribe antihypertensive or statin therapy, and the decision should always be made in the context of the individual patient’s overall clinical picture.

Which decision maker is the most desirable to have in the work place?

It depends on the specific context and goals of the organization. However, generally speaking, a decision maker who is able to effectively balance competing priorities and make well-informed, data-driven decisions that align with the organization’s objectives and values is considered to be desirable. Additionally, a decision maker who is able to collaborate effectively with other team members, communicate clearly, and lead by example is also highly valued.

What are decision making techniques in project management?

There are several decision making techniques that are commonly used in project management, including:

  1. Brainstorming: a group decision-making technique in which members of a team come together to generate ideas and solutions to a problem.
  2. Nominal Group Technique: a structured approach to brainstorming where participants are encouraged to share their ideas, but also to build upon and refine the ideas of others.
  3. Affinity Diagram: a tool used to organize and classify large amounts of information and ideas generated by a team.
  4. Pareto Analysis: a technique used to identify and prioritize the most important issues or problems to be addressed in a project.
  5. Decision Matrix: a tool used to evaluate and rank different options based on a set of criteria.
  6. Cost-benefit Analysis: a technique used to weigh the costs and benefits of different options and choose the one that offers the best overall value.
  7. Six Sigma: a methodology that uses statistical analysis to identify and eliminate defects in a process.
  8. SWOT Analysis: a technique used to evaluate the strengths, weaknesses, opportunities, and threats of a project or organization.
  9. Flowcharting: a diagrammatic representation of a process, showing how steps are connected, and how decisions are made.

These are just a few examples, there are many other techniques as well, the choice of technique is depend on the specific needs of the project and the organization.

How do charts tables and graphs help health care practitioners make decisions based on data they collect from patients?

Charts, tables, and graphs can help healthcare practitioners make decisions based on data they collect from patients by providing a visual representation of the information. This can make it easier for practitioners to understand and analyze the data, identify patterns and trends, and compare different patient groups.

For example, a line chart can be used to show changes in a patient’s vital signs over time, such as heart rate or blood pressure. This can help practitioners identify any abnormal patterns and make adjustments to the patient’s treatment plan as needed.

A bar chart or a histogram can be used to show the distribution of a certain variable, such as the age of patients with a specific condition. This can help practitioners identify age-related trends and predict future patient populations.

A scatter plot can show the relationship between two variables, such as weight and blood sugar levels in patients with diabetes. This can help practitioners identify any patterns or correlations that may indicate a need for adjustments to the patient’s treatment plan.

Overall, using charts, tables, and graphs to represent data can help healthcare practitioners make more informed decisions by providing a clear and concise summary of the information and highlighting any areas of concern.

Which CDE contest requires students to use their sensory skills to solve problems and make sound decisions?

CDE stands for Career Development Event and is a competition organized by the Future Farmers of America (FFA). It allows students to showcase their skills and knowledge in different areas related to agriculture, food and natural resources.

I am unaware of a specific CDE contest requiring students to use their sensory skills to solve problems and make sound decisions. However, different CDE contests are related to food, such as:

  1. Food Science and Technology CDE: this contest requires students to use their knowledge of food science, food technology and food safety to identify and evaluate food products and to determine their quality.
  2. Meat Evaluation and Technology CDE: this contest requires students to use their sensory skills to evaluate meat products and to make sound decisions based on their observations.
  3. Floral Design CDE: this contest requires students to use their sensory skills to create floral arrangements based on specific themes and criteria and to evaluate their and others’ floral designs.

It’s worth to mention that CDE’s are designed to prepare students for future careers and to develop their skills, so the sensory skills are always considered in many of the contests, but not always as a direct requirement.

Why are a health policy analyst needs to consider policy problems and health economics to make decision?

A health policy analyst needs to consider policy problems and health economics in order to make informed decisions about healthcare policies. Policy problems refer to the specific issues or challenges that a healthcare system is facing, such as access to care, cost of care, and quality of care. Health economics is the study of how scarce resources are allocated in the healthcare system, and how different policies and interventions can impact the overall efficiency and effectiveness of the system. By understanding both policy problems and health economics, a health policy analyst can better identify the root causes of issues within the healthcare system, and develop policies and interventions that are both effective and efficient in addressing those issues.

How does it facilitate shared decision-making and partnering?

Health Information Technology (HIT) can facilitate shared decision making and partnering by providing healthcare providers with easy access to patient information and resources. HIT systems, such as electronic health records (EHRs) and patient portals, can allow healthcare providers to quickly and easily access a patient’s medical history, test results, and other relevant information. This can help providers to make more informed decisions about a patient’s care, and to better communicate with patients about treatment options and the potential risks and benefits of those options.

HIT can also facilitate partnering by allowing healthcare providers to more easily share information and collaborate with one another. For example, EHRs can allow different providers within a healthcare system to access the same patient information, which can help to ensure continuity of care and reduce the risk of medical errors. Additionally, telemedicine technology can enable healthcare providers to consult with one another remotely, which can be particularly useful in rural areas or other locations where specialists may be scarce.

In addition to that, Patient portals can also enable patients to take more active role in their own care by providing them with access to their medical records, test results, and other relevant information, which can help to empower patients to make more informed decisions about their own care and to better communicate with their healthcare providers.

Overall, HIT can facilitate shared decision making and partnering by providing healthcare providers with access to relevant information and resources and enabling them to share information and collaborate with one another more easily.

What is the effect of vertical integration on media organization decision-making?

Vertical integration is the ownership or control of multiple levels of the production and distribution of a product or service. In the context of media organizations, vertical integration refers to a situation where a single company owns or controls multiple aspects of the media industry, such as content production, distribution, and exhibition.

The effect of vertical integration on media organization decision-making can be both positive and negative. On one hand, vertical integration can give media organizations greater control over the production, distribution, and exhibition of their content, allowing them to reach their target audience and generate revenue. Additionally, vertical integration can also provide media organizations with economies of scale, which can help to reduce costs and increase profitability.

On the other hand, vertical integration can also have negative effects on media organization decision making. For example, if a single company controls multiple aspects of the media industry, it can have significant market power and can potentially use that power to stifle competition and limit the diversity of voices in the media. Additionally, vertical integration can also result in a lack of transparency, as it can be difficult to determine who is responsible for decisions affecting the media industry.

Overall, vertical integration in media organization can have positive and negative effects on decision making, it can provide a media organization with greater control over the production, distribution, and exhibition of their content, but it can also stifle competition and limit the diversity of voices in the media.

How do you convince a decision-maker?

Convincing a decision-maker can be challenging, but several strategies can be effective:

  1. Understand their perspective: Before attempting to convince a decision-maker, it’s important to understand their perspective, priorities, and concerns. This can help ensure that your argument is tailored to their needs and interests.
  2. Use data and evidence: Decision makers are often more likely to be convinced by data and evidence than by personal opinions or anecdotes. Use research and statistics to support your position and provide a logical and objective basis for your argument.
  3. Address potential objections: Anticipate and address any potential objections that the decision maker may have to your proposal. This will help to demonstrate that you have considered all aspects of the issue and that your proposal is well-reasoned and thought out.
  4. Build relationships: Building a positive relationship with a decision maker can make them more likely to be open to your ideas and proposals. Show that you respect their opinion and that you are interested in their perspective.
  5. Communicate effectively: Communicate your ideas and proposals clearly and concisely. Use simple language and avoid jargon. Use visual aids and other tools to help explain your point of view.
  6. Be persistent: Decision-making can take time, and it may take several attempts to convince a decision maker. Be persistent and continue to present your argument clearly and compellingly.

By understanding the decision maker’s perspective, using data and evidence, addressing potential objections, building relationships, communicating effectively and being persistent, you may be able to convince a decision maker to support your proposal. However, it’s also important to remember that ultimately, the decision maker may not agree with your point of view and it’s important to respect their decision.

What are some real world consequences of the belief that only certain groups of people possess the ability to have good reasoning decision making skills?

The belief that certain groups of people possess superior reasoning and decision making skills can have a number of negative consequences in the real world. One major consequence is that it can lead to discrimination and prejudice against individuals or groups who are believed to be less capable in these areas. This can manifest in a variety of ways, such as in hiring and promotion decisions, educational opportunities, and access to resources and services. Additionally, this belief can reinforce harmful stereotypes and perpetuate systems of oppression and inequality. It can also discourage individuals from developing their reasoning and decision-making skills, and cause them to doubt their own abilities.

How should leaders approach ethics in their decision-making?

Leaders should approach ethics in their decision-making by considering the potential consequences of their actions on all stakeholders, including employees, customers, and society as a whole. They should also consider their company’s values, mission, and relevant laws and regulations. Additionally, leaders should be transparent and accountable for their actions and be willing to take responsibility for any negative consequences that may result from their decisions. It’s also important for leaders to create a culture of ethical behavior within their organization, by leading by example and promoting a code of conduct that encourages ethical behavior.

How information technology support a company’s business processes and decision making and give it a competitive advantage?

Information technology (IT) can support a company’s business processes and decision making in several ways, including:

  1. Automating repetitive or time-consuming tasks: IT systems can automate tasks such as data entry, invoicing, and inventory management, freeing up employees to focus on more strategic tasks.
  2. Improving data analysis and decision making: IT systems can collect, store, and analyze large amounts of data, which can be used to gain insights and make data-driven decisions.
  3. Enhancing communication and collaboration: IT systems such as email, instant messaging, and video conferencing can improve communication and collaboration among employees, partners, and customers.
  4. Increasing efficiency and productivity: IT systems can streamline business processes, increase the speed of operations, and reduce the need for manual labor.
  5. Enhancing customer service and support: IT systems can help companies better understand their customers’ needs and preferences, and provide them with personalized service and support.

By leveraging IT, companies can gain a competitive advantage by being more efficient, effective, and responsive to customers’ needs.

How does politics influence decision making?

Politics can influence decision making in a variety of ways. It can shape the policies and laws that govern decision making and the individuals and groups involved in the decision-making process. Political ideology and party affiliation can also play a role in how decisions are made, as individuals and groups may approach decision-making with different values and priorities. Additionally, political pressure and lobbying from interest groups can also influence decision making. Overall, politics can significantly impact the decisions that are made and the outcomes that result from those decisions.

What risk factors are involved in decision making as it relates to community resource referral?

There are several risk factors that can be involved in decision making related to community resource referral, including:

  1. Limited access to information: Decision makers may not have access to all the information they need to make informed decisions about community resources.
  2. Bias: Decision makers may have unconscious biases that influence their choices of resources to refer clients to.
  3. Limited resources: Decision makers may have to make difficult choices about allocating limited resources among competing needs.
  4. Inadequate evaluation and monitoring: Decision makers may not have the means to evaluate and monitor the effectiveness of community resources adequately they refer clients to.
  5. Cultural competency: Decision makers may not be culturally competent and may not be able to assess the needs of clients from diverse backgrounds effectively.
  6. Lack of coordination: Decision makers may not have the capacity to coordinate with other community organizations, resulting in limited access to resources.
  7. Inadequate training: Decision makers may not have received adequate training to be able to make informed decisions about community resources.
  8. Limited communication and feedback: Decision makers may not have adequate means to communicate with clients, and feedback from clients may not be solicited or acted upon.

Overall, these risk factors can contribute to poor decisions that fail to meet the needs of clients and the community.

How do you demonstrate problem solving and decision making?

There are several ways to demonstrate problem solving and decision making, including:

  1. Providing specific examples of past situations where you had to solve a problem or make a decision. Describe the problem, the steps you took to solve it, and the outcome.
  2. Highlighting specific skills or techniques you use when faced with a problem or decision, such as critical thinking, data analysis, or risk assessment.
  3. Describing a situation where you had to make a difficult decision and explaining your thought process and the reasoning behind your decision.
  4. Provide examples of how you have used creativity to solve a problem or develop a new solution.
  5. Showing how you have adapted to changing circumstances and been able to pivot when a solution is not working.

Overall, it is important to demonstrate your ability to think critically and analytically, and to communicate your thought process and decision-making clearly.

What are the advantages and disadvantages of shared decision making?

Shared decision making is a process in which a healthcare provider and patient work together to make a decision about the patient’s treatment. The advantages of shared decision making include:

  1. Increased patient engagement: Patients are more likely to be satisfied with their treatment and to adhere to it if they have been involved in the decision-making process.
  2. Better outcomes: Patients who are involved in shared decision making are more likely to have better health outcomes.
  3. Improved communication: Shared decision making can lead to improved communication between patients and providers, which can lead to better understanding and trust.
  4. Better alignment of treatment with patient’s values and preferences: Patients are more likely to receive treatment that aligns with their values and preferences when involved in decision-making.

The disadvantages of shared decision making include:

  1. Time-consuming: The process of shared decision making can be time-consuming, and may not be feasible in certain situations where a quick decision needs to be made.
  2. Limited understanding of the medical options: Patients may not have the knowledge or understanding necessary to make informed decisions about their medical treatment.
  3. Lack of standardization: There may be lack of standardization in the shared decision making process, which can lead to confusion and inconsistent outcomes.
  4. Provider bias: Providers may have biases that can influence the patient’s decision.
  5. Additional cost: Shared decision making often requires additional resources, such as specialized training for providers and decision aids for patients, which can increase the cost of healthcare.

Overall, shared decision making is a process that offers many benefits but also has some limitations. It requires a balance between the benefits and limitations to implement and practice effectively.

How do qualitative and quantitative research reports guide the decision making process?

Qualitative and quantitative research reports provide different types of information that can be used to guide decision making.

Quantitative research reports typically provide numerical data that can be analyzed using statistical methods. This data can be used to identify patterns and relationships, and can be used to make predictions about future events. For example, a business might use quantitative research to forecast sales trends or evaluate a marketing campaign’s effectiveness.

Qualitative research reports, on the other hand, provide non-numerical data, such as observations, interviews, and open-ended survey responses. This type of data is often used to understand people’s attitudes, beliefs, and motivations. For example, a company might use qualitative research to understand why customers are not satisfied with their products.

Both qualitative and quantitative research can be used together to make decisions. For example, quantitative data can be used to identify patterns, while qualitative data can be used to understand the reasons behind those patterns.

In general, qualitative research provides rich, detailed information about a small sample, while quantitative research provides more generalizable data from a larger sample.

What is the basic consideration in making a career choice and decision?

When making a career choice and decision, some basic considerations include:

  1. Interests: Consider what activities and subjects you enjoy and are passionate about.
  2. Skills: Think about what skills you have that would be useful in a particular field or job.
  3. Values: Reflect on what values are important to you, such as work-life balance, helping others, or making a difference in the world.
  4. Financial stability: Consider different career options’ earning potential and job security.
  5. Location: Consider the location of potential job opportunities, and whether you are willing to relocate.
  6. Educational and experience requirements: Consider what qualifications and experience are required for different careers.
  7. Job outlook: Research the job outlook for different career options to see which are expected to have the most growth or stability in the future.

It’s also important to keep in mind that your career path may not be linear, and you may have multiple careers in your lifetime. It’s helpful to be open-minded and flexible when exploring different options.

Would your decision making process change if you needed to make stock investment decisions for a business?

The decision-making process for making stock investment decisions for a business would be different than making a career choice for an individual. Some key considerations when making stock investment decisions for a business include:

  1. Financial analysis: Carefully review the financial statements and performance of the company or companies being considered for investment. To assess the company’s financial health, consider factors such as revenue, profit, and cash flow.
  2. Industry analysis: Research the company’s industry to understand trends, growth prospects, and potential risks.
  3. Competitive analysis: Study the competition to understand the company’s position in the market and its strengths and weaknesses.
  4. Risk vs. return: Consider the potential return on investment (ROI) and the level of risk involved with the investment.
  5. Timing: Consider the timing of the investment, taking into account factors such as market conditions and the company’s current financial performance.
  6. Diversification: Diversifying your portfolio is important to minimize risk.
  7. Legal and regulatory considerations: Be aware of any legal or regulatory issues that may affect the company or industry, such as changes in laws or policies.
  8. Investment horizon: Consider the investment horizon, whether short-term, medium-term or long-term.

It’s also important to have a clear investment strategy in place and to review and adjust the portfolio regularly to ensure that it aligns with the business’s goals and risk tolerance.

How can a transaction processing system help an organization’s management information system and decision support system?

A transaction processing system (TPS) can help an organization’s management information system (MIS) and decision support system (DSS) in several ways:

  1. Data collection and storage: A TPS automatically captures and stores large amounts of data from various sources, such as sales transactions, inventory movements, and customer interactions. This data can be used to support decision-making and monitoring of the organization’s operations.
  2. Data validation and integrity: A TPS can ensure the accuracy and completeness of the data it captures by performing validation checks and controlling access to the data. This helps to ensure that the data used in the MIS and DSS is reliable and consistent.
  3. Real-time data availability: A TPS can provide real-time data availability, allowing the MIS and DSS to access the most up-to-date information, which can be used to make decisions and monitor performance in near real-time.
  4. Automation of repetitive tasks: A TPS can automate repetitive tasks such as data entry and processing, which can help reduce errors and improve efficiency.
  5. Integration with other systems: A TPS can be integrated with other systems, such as enterprise resource planning (ERP) or customer relationship management (CRM) systems, to provide a comprehensive view of the organization’s operations and customer interactions.
  6. Reporting and analysis: A TPS can generate a wide range of reports and analytics that can help management make informed decisions, such as sales reports, inventory reports, and customer behavior analysis.

Overall, a TPS can provide an organization with the ability to efficiently and accurately process large amounts of data, which can be used to support the decision-making and monitoring functions of the organization’s management and decision support systems.

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