Category: Management

  • “Exploring Alternative Solutions for Resolving International Disputes: A Comprehensive Scientific Research”

    The desired search title is: Alternative solutions to resolve international disputes What is required is a scientific research of no less than thirty pages
    References must be documented in the margins of each page
    All conditions for scientific research must be applied and the template in which you will place the work must be attached as required
    You must provide a comprehensive explanation of all research questions and communicate findings and recommendations

  • “Adapting to Change: A Case Study of a Family-Owned Greek Company”

    With contents please. Company of your choice. References and citations with the Harvard system , if you go online , please indicate the date and time. Please leave a blank page at the front so I can modify the cover. Thank you Good evening, for this particular assignment, I am attaching some of the slides from the course. Notice the headings on the slides where they show the structure and what we want to capture. You can choose a company here if you like, and it’s Greek. As we know, people react to change by getting out of their comfort zone. We can also show that a company, for example a family company, could not absorb the change because people did not follow. It’s useful to take ideas from these slides and include terms from them. Thank youWe can’t use the same company as before
    Νο AI or chat gpt i want the pdf plagiarism report from turnitin with the final paler

  • “Exploring Forecasting Methods and Their Applicability in Different Situations” Forecasting Techniques in Operations and Supply Chain Management

    Topic 6 DQ 1
    May 9-11, 2024Describe the different forecasting methods and provide an example of when each is most applicable.
    Submitted on:
    May 10, 2024, 4:38 PM. Summer Riddle
    May 10, 2024, 4:05 PM
    Unread
    Prof. Eixenberger and Classmates,
    Forecasting Defined
    Forecasting is a science but also an art. Sales needs to forecast demand so that production can begin to plan for what they need to meet the forecast goal. Their are many different forecasts such as strategic forecasts which are medium and long -term forecasts that are used related to strategy and aggregate demand. Tactical forecasts focus on the day-to-day operations of an organization and are short term. Both qualitative and quantitative techniques are used to evaluate what forecasting process should be used. Forecasting is classified into four different models such as time series analysis stating that past demand can predict future demand. Past demand includes, trends, seasonal, and cyclical influences. Causal forecasting assumes that demand is caused by an underlying factor and uses linear regression. Simulation forecasting runs through a range of different assumptions of the forecast. Qualitative and time series are the most commonly used for decision making. Demand Components
    Demand components are broken down into six components which are average demand for the period, a trend, a seasonal element, cyclical elements, random variation, and auto-correlation. Cyclical factors are difficult to determine and influences come from political elections, war, economic conditions or sociological pressures. Random variations are just that random, by chance events. When all the other components of demand are subtracted random variations are left because they are based on chance and the unexplained portion of why demand did or did not occur. Auto-correlation is represented by how often occurrences happen. Trend lines remind me of trajectories in health care. They follow a specific pattern. As a hospice nurse we know that if someone has COPD that they have an up and down trajectory that slowly declines over time based on exacerbations of the disease process unlike Alzheimers or dementia which has a slow decline consistent but slow along with MS and Parkinson’s. Forecasting Methods
    One method of forecasting plots data points and then searches for the trajectory of the points that fit best. Time series forecasting has different lengths of time in which someone calculates the future demand with. For example short term forecasting reviews under three months, medium forecasting is three months to two years and long-term forecasting is greater than two years. Short term models measure current variability in demand which works for having inventory back up just in case. Medium term captures the affects of seasons and holidays on demand and long-term models detect general trends and can see major events in the behavior of demand. Certain forecasting methods require a minimum of historical data before being represented well. For example a simple moving average requires 6-12 months of weekly data. A weighted moving average and simple exponential smoothing and exponential smoothing with trend requires 5 to 10 observations needed to start. Linear regression requires 10-20 observations and trend and seasonal models require 2 to 3 observations per season. When choosing a method an organization considers time horizon to forecast, data availability, accuracy required, size of forecasting budget, and availability of qualified personnel.
    Monthly forecasts are appropriate for budgets and weekly forecasts are appropriate for inventory. In a department store a weighted average with percentages taken on current and past months and combined to give a forecast of the next month. With the most recent past being the indicator that has the most weight, lessening the further back one goes. Seasonal trends must be taken into account based on service or product providing. This concept makes exponential smoothing the most used in forecasting. They are accurate, easy to calculate, small storage requirements, and it can be tested for accuracy. Smoothing takes into account previous forecast, current data and then determines what the reaction rate should be. The more growth a company is experiencing the higher the reaction rate should be. Smoothing constants reduce the impact of the error of the forecast and actual demand creating an appropriate demand for the next time period. (MY HEAD HURTS UUUUGGHH!!) Linear regression analysis explores relationships between two or more correlated variables created from observed data. Linear regression is used for time series forecasting and causal relationship forecasting. The number of deaths from lung cancer would increase with smokers would be an example of a causal relationship (Jacobs & Chase, 2020). I need to keep studying this its always the math that I struggle with but enjoy if that makes any sense. Thanks for reading my post. Reference
    Jacobs, F. R., & Chase, R. B. (2020). Operations and supply chain management (16th
    Ed.). New York, NY: McGraw-Hill. ISBN-13: 9781264091676

  • Customer Focus and Quality Management at Amazon.com “Amazon.com: Leveraging Technology, Order Fulfillment, and Retailing Strategies for Market Dominance” “Maximizing Efficiency and Addressing Risks in Amazon’s Order Fulfillment and Privacy Practices”

    avoid plagrazem 12.1 Learning Outcomes:
    Recognize the importance of quality management theory, principles, and practices applied in businesses on national and international levels.
    State the importance of standardization and quality standards.
    12.2 Action Required: (Read)
    Case: Customer Focus at Amazon.com
    Warren Buffett, the well-known financier and CEO of Berkshire Hathaway, has never been a big backer of technology businesses. However,
    he owns $459 million worth of Amazon.com’s bonds, making him one of
    Amazon’s biggest debt holders. Buffet observes, “I’ve been using a
    computer for eight or ten years now and I still really pay for only
    three things on the Internet:
    The
    Wall Street Journal, online bridge, and books from Amazon.com. That
    they are one of only three companies online that have gotten money out
    of my pocket tells me they are doing something
    right.” The concept of Amazon began in 1994 when Jeff Bezos, its
    founder and CEO, read a study that predicted the Internet would explode
    in popularity. He settled on selling books online because almost every
    book was already catalogued electronically, yet no physical bookstore
    could carry them all. Bezos has a rare talent for a relentless focus on
    the customer, and a studied disregard for short-term pressures to show
    results on the “bottom line.” The original Amazon model envisioned
    giving customers access to a gigantic selection without the time,
    expense, and hassle of opening stores and warehouses and dealing with
    inventory. However, Bezos quickly discovered that the only way to make
    sure customers get a good experience and that Amazon gets inventory at
    good prices was to operate his own warehouses so he could control the
    transaction from start to finish. In its 2002 Annual Report a letter
    from the 1997 Annual Report was reproduced, explaining Amazon’s
    customer-focused philosophy in these words:
    From the beginning, our focus has been on offering our customers compelling value. We realized that the Web was, and still is, the World Wide Wait. Therefore, we set out to offer customers something they simply could not get any other way, and began serving them with books. We brought them much more selection than was possible in a physical store (our store would
    now occupy 6 football fields), and presented it in a useful,
    easy-to-search, and easy-to browse format in a store open 365 days a
    year, 24 hours a day. We maintained a dogged focus on improving the
    shopping experience, and in 1997 substantially enhanced our store. We
    now offer customers gift certificates, 1-ClickSM shopping, and vastly
    more reviews, content, browsing options, and recommendation features. We dramatically lowered prices, further increasing customer
    value. Word of mouth remains the most powerful customer acquisition
    tool we have, and we are grateful for the trust our customers have
    placed in us. Repeat purchases and word of mouth have combined to make
    Amazon.com the market leader in online bookselling.
    In its 2002 Annual Report, Bezos’s letter made numerous points to explain how that
    vision of customer service had developed and expanded, including:
    We have deep selection that is unconstrained by shelf space.
    We turn our inventory 19 times in a year.
    We personalize the store for each and every customer.
    We trade real estate for technology (which gets cheaper and more capable every year).
    We display customer reviews critical of our products.
    You can make a purchase with a few seconds and one click.
    We put used products next to new ones so you can choose.
    We share our prime real estate, our product detail pages, with third parties, and, if they
    can offer better value, we let them.
    Customer experience costs that remain variable, such as the variable portion of
    fulfillment costs, improve in our model as we reduce defects. Eliminating defects
    improves costs and leads to better customer experience.
    Many of the customer-pleasing features of Amazon’s operations are not noticed, or even known,
    by Amazon’s customers. These fall into the categories of technology,
    order fulfillment, and retailing strategies. In technology, the
    company’s website has been, and remains, leading edge. In an effort to
    serve customer needs, Amazon was one of the early pioneers to develop
    software for collaborative filtering of customer data. Basically, the
    filter is used to suggest similar or related products to a customer
    after he or she has focused on a product or product category. For
    example, if a customer browses or purchases Managing for Quality and Performance Excellence, other
    books in quality management would then be suggested on the viewer’s Web
    browser. These suggestions are based on what other readers of the text
    had purchased, in addition to the target text. Web features and
    capabilities have expanded over the years, to include features such as
    “look inside the book” for a chapter preview, in-store pickup of orders,
    shipping choices (priority vs. regular), and affinity group selections
    (Wedding Registry, Baby Registry, personal Wish List, etc.).
    In order fulfillment, the capabilities of its high-tech warehouses continue to drive costs down, as mentioned earlier. For example, Amazon has a nearly perfect process for sorting multiple item orders. As it expands its offerings and adds more retail partners, Amazon’s fulfillment
    capabilities pay dividends to its partners, as well as adding revenues
    to Amazon. By reducing the time it takes to get all the items in an
    order into the sorting system, Amazon shipped 35 percent more units with
    the same number of people than it had in earlier years. Its retailing strategy is based more and more on partnerships with those who, in most businesses,
    would be considered competitors. Amazon proclaims that it seeks “to
    offer Earth’s Biggest Selection and to be Earth’s most customer-centric
    company, where customers can find and discover anything they might want
    to buy online.” However, at any time, its competitor partners may be
    offering the same item through their linked websites at a different
    price. For example, when a book is being viewed, the web page will also
    permit the viewer to go to a linking web page of a partner’s book
    company, where the same title used (or even new) book is being sold for a
    lower price. Its partners include well-known retailers such as Borders
    Books, Waldenbooks, Waterstone, Target Stores, Lands’ End, and thousands
    of other lesser-known organizations, large and small. In fact, through
    what is called their Associates Program, Amazon.com provides a link to
    900,000 websites carrying specialty items and where online auctions are
    taking place every day.
    With millions of customers and potential customers accessing its global sites in the United States, the United Kingdom, Germany, Japan, and Canada daily, Amazon.com’s sophisticated
    technology allows it to build an in-depth and potentially valuable
    database of many of its customers. In 1999, Amazon.com experimented with
    a highly controversial feature on its website. It started featuring
    thousands of individual bestseller lists categorized by Zip codes,
    workplaces, and colleges—wherever its customers were ordering from. With
    a mouse click on its website, browsers could peek behind the scenes at
    the books that specific groups were reading, the compact discs they were
    listening to, and the videos they were watching. Amazon described it as
    ‘’fun,’’ happily announcing the feature, Purchase Circles, in a press
    release. Soon, however, citing customer complaints, the company began
    backtracking. Customers were allowed to opt out of having their data
    collected, as long as they were savvy enough to read the fine print and
    send an e-mail to the company. Companies could choose not to be included
    by sending a fax.5 Despite the controversy, Amazon .com still has Purchase Circles on its website.
    12.3 Test your Knowledge (Question):
    1. How does Amazon.com’s CRM software help it to gain market share and maintain its competitive advantage?
    2. How are operating efficiencies realized in order fulfillment activities of Amazon.com? Will costs continue to fall, given that their warehouses are currently operating at less than 50% of capacity? (Note: This measure is expected to change over time, depending on the state of the economy.)
    3. What are the customer privacy risks, besides the ones mentioned in the case, that Amazon.com must guard against in order to continue to grow its business?
    12.4 Instructions Read Case study and answer the questions.
    Post your answer in the discussion board using the discussion link below (Week 12: Interactive Learning Discussion)

  • Title: Review of “The Impact of Social Media on Mental Health: A Literature Review”

    Please follow the week Assignment instructions and use provided article for review. Please use APA7 format, when reading instructions please write the review to make it flow not in question format.

  • “Optimizing Performance Management through Effective Reward Systems”

    Module 14: Rewarding through Performance Management
    In this module, you will examine how pay and reward structures support and facilitate performance management. You will also compare traditional and contingent pay plans and explore the concept of pay as motivation. You will identify how pay and reward systems can be implemented for optimal results. Finally, you will learn to apply them in both individual employee and team situations to support team performance management systems.
    Discussion Question
    Question Requirements:
    Effective Reward Systems in Performance Management
    Performance management systems and reward systems are essential components of motivating and driving individual and group performance in organizations.
    Analyze reward systems and the appropriate application to meet organizational goals.
    Discuss the different types of reward systems, such as financial and non-financial rewards, and their impact on employee motivation and performance. Consider the importance of aligning reward systems with organizational goals and values, as well as the need for fairness and transparency in the reward process
    Directions:
    Discuss the concepts, principles, and theories from your textbook. Cite your textbooks and cite any other sources. Write a discussion that includes an introduction paragraph, the body, and a conclusion paragraph to address the assignment’s guide questions.
    Your initial post should address all components of the question with a 600-word limit.
    Learning Outcomes
    Recognize the multiple considerations for effective pay plans.
    Analyze reward systems and the appropriate application to meet organizational goals.
    Assess components and principles of team evaluation in performance management systems.
    Readings
    Required:
    Chapter 10 in Performance Management, Rewards and the Law
    Chapter 11 in Performance Management, Rewards and the Law
    Gardner, H., & Matviak, Ivan. (2022, August 16). Performance management shouldn’t kill collaboration. Harvard Business Review.
    Mosca, L. (2021, June 7). 6 reasons why pay-for-performance is a game changer. Forbes.
    Recommended:
    Chapter 10 & 11 PowerPoint slides from Performance Management

  • “Exploring Key Topics in Public Administration, Agile Development, and Ethical Management”

    **LONG ANSWERS ARE NOT NECESSAR**
    MGT324:
    Week 10:
    Does public administration require efficient information technology that brings together different and interlinked areas? Week 11:
    What are the challenges public servants are going to face in the future?
    What new roles will emerge for public servants in the future?
    ______________________________________________________________________________________________
    MGT325:
    Week 10:
    Discuss in details the Agile development process.
    Week 11:
    Discuss in detail, the factors that affect the new product development team’s performance.
    Week 12:
    Discuss in detail the five main factors to consider in crafting a great deployment strategy for your innovation.
    ________________________________________________________________________________________________
    MGT422:
    Week 10:
    Why is it important for managers to learn and model high ethical standards?
    Week 11:
    Why should businesses participate in corporate social responsibility?
    Week 12:
    Explain how organizational culture influences individual and group ethical behavior.

  • Title: “Understanding Slides for Lecture Explanation”

    I want a brief and simple explanation of these three slides because I want to explain them in the lecture

  • “Strengthening Environmental Protection: An Impact Assessment of Current Laws and Suggestions for Improvement”

    Selected search title Impact assessment of current environmental laws: analysis of shortcomings and suggestions for strengthening environmental protection in the legal context
    What is required is a scientific research of no less than thirty pages
    References must be documented in the margins of each page
    All conditions for scientific research must be applied and the template in which you will place the work must be attached as required
    You must provide a comprehensive explanation of all research questions and communicate findings and recommendations

  • “Plagiarism Prevention: How to Avoid Academic Dishonesty”

    Avoid plagiarism, the work should be in your own words, copying from students or other resources without proper referencing will result in ZERO marks. No exceptions.