| Course | MGMT 8900M Prospectus Development and Alignment |
|---|---|
| Week | Week 10 |
| Paper type | Revision memo |
| Length | About 730 words, 4 pages |
| Format | Memo, APA 7 citations |
| School | Walden University |
| Program | PhD in Management |
| Updated | October 2026 |
Free sample paper for MGMT 8900M Week 10
Memorandum
To: Course Instructor and Peer Reviewers, MGMT 8900M
From: Doctoral student, PhD in Management
Date: March 30, 2026
Re: Revisions to the prospectus after Week 9 feedback
Purpose of This Memo
The prospectus studies how municipal fleet managers decide when to replace a gasoline or diesel vehicle with an electric one. Five critiques arrived after Week 9: two from peers, two from the instructor and one from a practitioner, a fleet manager who agreed to read the draft. This memo logs each critique, the edit made, every other statement the edit forced to change and the reason. One suggestion is declined below the log.
Revision Log
Table 1
Critiques, Edits and Their Ripples
| Critique as received (source) | Edit made | Ripple: other statements changed | Reason |
|---|---|---|---|
| "Your problem is about when vehicles get replaced, but your question asks about charging." (peer) | Question rewritten: "How do municipal fleet managers decide when to replace a vehicle with an electric model?" | Purpose narrowed from "adoption decisions" to "replacement timing decisions"; one source on public charging networks removed from the source table | The problem's unknown is timing; charging is one consideration, not the subject |
| "Who is the population: fleet managers, or the city councils that approve budgets?" (instructor) | Population defined as fleet managers in cities of 50,000 to 250,000 | Significance section now names mid-sized cities; nature of the study specifies managers, not councils | Managers make the replacement recommendation, councils approve it; the study is about the first |
| "The design says multiple case study but the significance says 'generalizable.'" (instructor) | "Generalizable" replaced with "transferable to similar cities" | Limitations section adds a sentence on the scope of transfer | Case study findings support analytic, not statistical, generalization |
| "Your main fleet source dates from 2014; is it still current?" (peer) | Source kept but its claim narrowed to what fleet managers weighed then | Literature section adds a sentence noting its date and the newer models since | It remains the closest study of fleet managers' adoption reasoning |
| "Replacement is driven by the vehicle's mileage and repair history, not only by choice." (practitioner) | Problem statement adds that replacement schedules are usually set by age and mileage rules | Interview guide adds a question on how managers depart from the schedule | Shows where judgment enters a rule-based process |
Each row was carried through the prospectus before the next was started, so later edits reflect earlier ones.
How the Ripples Were Checked
After each edit, the problem, purpose, question, nature of the study and significance were reread together and checked against each other with the Week 6 conditional tests, which ask whether meeting the purpose would settle the problem's unknown and whether answering the question would meet the purpose. The first row produced the largest ripple. Rewriting the question to concern timing made the purpose's word "adoption" too broad, so it was narrowed, and the charging source in the source table no longer supported any statement, so it was removed. Maxwell (2013) treats a qualitative design as a set of linked components, and the log is meant to make those links visible.
A Suggestion Declined
The instructor suggested adding a survey of drivers who use the city's vehicles, to learn whether they prefer electric models. I have declined it. The problem concerns fleet managers' decisions about timing, and drivers are not named anywhere in the problem, purpose or question. Adding them would introduce a second population, and with it a second question, that the problem never raised. Sierzchula (2014) studied the factors that influence fleet managers' adoption of electric vehicles, which supports treating the managers, not the drivers, as the decision-makers worth studying. Driver preference may matter to the decision, and if managers mention it in interviews it will be reported, but it will not become a separate strand of data collection.
What Remains Open
Two questions remain for the instructor. First, should the study include managers who have not yet replaced any vehicle with an electric model, to compare their reasoning with those who have? Second, is a range of cities by population the right way to bound the sample, or would cities within one state, sharing one set of incentives, give cleaner comparisons? Newman and Covrig (2013) argue that consistency across the title, problem, purpose and questions should be checked at every revision, so whichever answer is chosen, the title will be revised to match.
References
Maxwell, J. A. (2013). Qualitative research design: An interactive approach (3rd ed.). SAGE.
Newman, I., & Covrig, D. M. (2013). Building consistency between title, problem statement, purpose, & research questions to improve the quality of research plans and reports. New Horizons in Adult Education and Human Resource Development, 25(1), 70-79. https://doi.org/10.1002/nha.20009
Sierzchula, W. (2014). Factors influencing fleet manager adoption of electric vehicles. Transportation Research Part D: Transport and Environment, 31, 126-134. https://doi.org/10.1016/j.trd.2014.05.022
MGMT 8900M Week 10 instructions, in plain terms
In Week 10 you write a two-page memo documenting how you revised your prospectus in response to feedback. Build it around a four-column log: the critique as received, quoted briefly with its source's role; the edit you made; every other statement the edit forced to change, with the words that changed; and the reason for the edit. Carry each edit through the prospectus before logging the next. Explain briefly how you checked for ripples. Below the log, discuss at least one suggestion you declined and give a reason grounded in alignment. Close with any open questions for your instructor. Use memo headings and keep the log readable, with one critique per row.
How this MGMT 8900M Week 10 example is built
The fleet memo opens by naming the five critiques and their sources. The log's five rows cover the timing-versus-charging mismatch, the manager-versus-council population question, the claim of generalizability in a case study, the age of the main fleet source and a practitioner's point that replacement follows age and mileage rules. Each ripple names the sections that changed. A short paragraph describes rereading the core statements with the Week 6 tests after each edit, citing Maxwell. The declined-suggestion section explains why drivers stay out, citing Sierzchula on fleet managers as decision-makers. Two open questions about sampling close the memo, with Newman and Covrig on keeping the title consistent.
Reading the MGMT 8900M Week 10 rubric
The ripple column carries the most weight. Graders check that every edit's consequences for other statements are traced; a log showing edits with no ripples suggests the prospectus was not reread as a whole. Each critique should be quoted accurately and attributed by role. Reasons must tie edits to alignment, not to preference. The declined suggestion earns substantial credit when the refusal rests on the problem, purpose and question rather than on effort. Explaining how ripples were checked shows method. Memos that summarize feedback without a log, that accept every suggestion without reflection or that decline suggestions without a reason grounded in the prospectus fall into the middle range.
MGMT 8900M Week 10 help: mistakes that cost marks
Collect all feedback in one place before revising, and sort it by which statement it concerns. Make one edit at a time, then reread the problem, purpose, question, nature of the study and significance together before moving on. Record every change you make in other sections; that is the ripple. When a suggestion would add a population, a method or a question your problem does not need, it is fine to decline it, but explain why in terms of alignment. Quote critiques briefly and accurately. End with real questions you need answered. A tutor can help you trace ripples you might miss, and the fleet revision memo above shows a complete log. Notice how its first row, a single rewritten question, changed three other parts of the document.
Get a MGMT 8900M Week 10 example written to your instructions
With the Week 10 prompt and rubric, send the draft that received critique and the comments themselves, peer and instructor alike. A revision memo on a comparable prospectus, ripple column and a reasoned refusal included, is ready in 24-48h, the first free of charge. Which comments your own prospectus should accept is a decision the memo demonstrates on its example alone.
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MGMT 8900M Week 10 questions, answered
Where can I find a free MGMT 8900M Week 10 sample paper?
The fleet electrification revision memo, log table and all, can be read above.
What does the ripple column record in the MGMT 8900M Week 10 sample?
Every other statement an edit forced to change, and the words that changed in each.
Which suggestion does the memo decline?
Adding a survey of drivers, because it would introduce a second population the problem never named.
What change did the practitioner's critique prompt?
The problem now notes that replacement usually follows age and mileage rules, and the interview guide asks how managers depart from them.
Why replace generalizable with transferable?
Because case study findings support analytic, not statistical, generalization.