its 1200 words only
2. Assessment Task 2 - Individual Quantitative Literacy Case Study (1200 words) Task Background Assessment Task 2 is Fermi Problem. In Strategic Management we are using the Fermi Problem to demonstrate quantitative numeracy skills. Students will, with limited data, make effective approximate calculations modelling strategic efficiency. This is a synthetic study, and there is no right or wrong answer to the Fermi Problem, however some answers may be more detailed and accurate than others. Task Purpose The purpose of Assessment Task 2 is to have students undertake a strategic analysis demonstrating quantitative literacy. Quantitative literacy is a required Graduate Capability for this subject. Quantitative literacy will be assessed within the following sub-tasks: 1) Creation of a numeric dataset based on specific organizational activities; 2) Interpretation of that numeric dataset; 3) Creating a synthetic model showing calculations with the dataset as a basis; 4) Extrapolation and explanation of outcomes for the synthetic model. Case Background and Requirements: You are a consultant providing advice to an industrial client who wishes to diversify their strategic portfolio by acquiring a company that currently owns thirty (30) residential properties in the suburbs of Kingsbury, Preston, Bundoora, and West Heidelberg immediately surrounding the La Trobe University Bundoora Campus. The properties are all be four (4) bedroom, two (2) bathroom townhouses and houses, and currently service the student accommodation market. To achieve an above average return your client needs advice on whether they should place all thirty (30) properties under the management of a real estate agent, or place them on AirBnB, or split the portfolio between a real estate agent and AirBnB. The revenue projection period for this task is one year. Requirements: Provide a structured 1200 word report for your client demonstrating the following: 1. Research from realestate.com.au and AirBNB 2. Systematic research identifying an anticipated efficiency figure* for your client's AirBNB listed properties 3. An assumed efficiency figure* for agency managed properties of 90% 4. The weekly rate of return for properties, based on your efficiency figure*, in the suburbs of Kingsbury, Preston, Bundoora, and West Heidelberg found on both realestate.com.au and AirBnB 5. Calculations showing the weekly rate of return over 12 months for your client's properties, derived from your research into realestate.com.au and AirBnB, based on the mode of tenancy which may be either whole-of-property or per room rentals 6. The weekly agency costs and fees of properties managed by real estate agents or AirBNB 7. Tables showing projected rental income from both realestate.com.au and AirBNB for your client's thirty (30) properties on both whole-of-property and per room base also showing deductions for agency and AirBNB fees 8. A final recommendation for both the distribution of your client's properties and their mode of tenancy, between real estate agents and AirBnB, based on your calculations * An efficiency figure is made up of the percentage of properties you anticipate can be reasonably continuously generating a weekly revenue Structure: You are to provide a response to this problem in approximately 1200 words (+/- 10%): An introduction, main body, and conclusion must be provided. Diagrams and calculations in tables will be essential. Academic references are NOT required for this submission but if used must be appropriately referenced. Students should assume their examiner is NOT an accountant or a data-analyst and must provide written explanations for each table and model. Microsoft Word - 2020-2 -MGT3SMG-Assessment Task 2 Guide _1_ 2020 – Sem 2 - MGT3SMG This small guide is designed to assist you with the completion of MGT3SMG Assessment Task 2. The task is designed to test your ability to employ Fermi logic, as well as strategic management client choose a strategic direction and achieve above average returns. This guide is a guide only; the data used is artificial and not accurate. Your data must be based on actual market research. You are free to structure the report • 1,200 words (+/- 10%) • An introduction • A main body • A conclusion Additionally, tables and diagrams are essential academic/scholarly references for this assignment, however if correctly cited. Per the instructions of the LMS, the report requires the following: • Research from realestate.com.au and AirBNB • Systematic research identifying an anticipated listed properties • An assumed efficiency figure* • The weekly rate of return for properties, based on your Kingsbury, Preston, Bundoora, and West Heidelberg found on both realestate.com.au and AirBnB • Calculations showing the weekly rate of return over 12 months for your client's properties, derived from your research into realestate.com.au a which may be either whole • The weekly agency costs and fees of properties managed by real estate agents or AirBNB • Tables showing projected rental income from both realestate.com.au an thirty (30) properties on both whole agency and AirBNB fees • A final recommendation for both the distribution of your client's properties and their mode of tenancy, between real estate agents and AirBnB, based on your calculations In the next section, we will illustrate a possible way of structuring the assignment. Again, this is only one such way of structuring the assignment, and provided you have met the above requireme structures are permitted. MGT3SMG – Assessment Task 2 Guide This small guide is designed to assist you with the completion of MGT3SMG Assessment Task 2. The task is designed to test your ability to employ Fermi logic, as well as strategic management client choose a strategic direction and achieve above average returns. ; the data used is artificial and not accurate. Your data must be based on actual market research. You are free to structure the report how you wish, however it must have: 10%) Additionally, tables and diagrams are essential to this assessment. There are no required references for this assignment, however if you do choose to use any, they must be Per the instructions of the LMS, the report requires the following: Research from realestate.com.au and AirBNB Systematic research identifying an anticipated efficiency figure* for your client's A efficiency figure* for agency managed properties of 90% The weekly rate of return for properties, based on your efficiency figure*, Kingsbury, Preston, Bundoora, and West Heidelberg found on both realestate.com.au and AirBnB Calculations showing the weekly rate of return over 12 months for your client's properties, derived from your research into realestate.com.au and AirBnB, based on the mode of tenancy which may be either whole-of-property or per room rentals The weekly agency costs and fees of properties managed by real estate agents or AirBNB Tables showing projected rental income from both realestate.com.au and AirBNB for your client's thirty (30) properties on both whole-of-property and per room base also showing deductions for agency and AirBNB fees A final recommendation for both the distribution of your client's properties and their mode of n real estate agents and AirBnB, based on your calculations In the next section, we will illustrate a possible way of structuring the assignment. Again, this is only one such way of structuring the assignment, and provided you have met the above requireme This small guide is designed to assist you with the completion of MGT3SMG Assessment Task 2. The task is designed to test your ability to employ Fermi logic, as well as strategic management concepts, in helping a ; the data used is artificial and not accurate. Your data must be based on actual how you wish, however it must have: to this assessment. There are no required you do choose to use any, they must be for your client's AirBNB efficiency figure*, in the suburbs of Kingsbury, Preston, Bundoora, and West Heidelberg found on both realestate.com.au and AirBnB Calculations showing the weekly rate of return over 12 months for your client's properties, nd AirBnB, based on the mode of tenancy The weekly agency costs and fees of properties managed by real estate agents or AirBNB d AirBNB for your client's property and per room base also showing deductions for A final recommendation for both the distribution of your client's properties and their mode of n real estate agents and AirBnB, based on your calculations In the next section, we will illustrate a possible way of structuring the assignment. Again, this is only one such way of structuring the assignment, and provided you have met the above requirements, other 1 Section 1: Introduction Here, you will introduce the report. What is the document that the reader is reading? What is its purposes? You must provide a commentary on what that your reader knows where they are in the report at all times. Section 2: Market research and efficiency figure of our properties In this section, you will perform some market research listed on AirBnB. Market research might involve describing things such as the median house price, median rental price, and other important information about the areas studied. This will require some rese Airbnb.com). You will also define your AirBnB property will be booked 100% of the time; thus, we need a number which represents a AirBnB managed properties. You could come up with your own formula, or try something like this: • If our client’s AirBnB properties are occupied efficiency figure of 57.14% o [ (4 / 7) x 100 ] = 57.14 The efficiency figure for AirBnB properties is a number that guess and some research. How many days do you think that these properties will be occupied per week (or per year?) This number will be important when it comes to The efficiency figure for agency managed properties (non page). Section 3: Your client’s portfolio Here, you might illustrate what your client’s portfolio looks like. Your client h are 4 bedroom 2 bathroom homes in the following suburbs: • Bundoora • Kingsbury • Preston • Heidelberg West You must demonstrate how many houses are in the client’s portfolio and where they are located. There should be fairly even representation among each suburb (data permitting). Diagrammatic representation can be useful here: e.g: