MGMT5091 Module 2 external analysis example

Reviewed by Cornelius Ravenhill, MBA · American College of Education · True APA form, annotated

This page holds a complete MGMT 5091 Module 2 example in true APA form: an external analysis for American College of Education's MBA Capstone Experience course. It continues the capstone on Lakemont Marine, the composite pontoon builder deciding whether to launch an electric line. The paper sizes demand from the lake restrictions and new pontoon sales in 30 target dealer territories and a survey of Lakemont's dealers, examines regulation, technology, financing and competitors, and maps the ecosystem of engine makers, dealers and marinas the line would depend on. It ends by revising the volume assumption set in Module 1 and flagging a price gap that later sections must resolve.

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Four Hundred Restricted Lakes and a $38,000 Gap: The External Case for an Electric Pontoon Line, With the Figures Later Sections Will Reuse

Student Name

American College of Education

MGMT5091: MBA Capstone Experience

Module 2 Assignment

Instructor Name

September 20, 2027

What this page is doingThe title leads with the two numbers that decide this module's findings, the size of the restricted-lake market and the retail price gap, and tells the grader the section is written for reuse. The firm and every figure are composites. The APA 7 title page carries the course line and module assignment as listed.
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Purpose of This Section

Module 1 framed the capstone question as whether Lakemont Marine, a composite family-owned pontoon builder with 118 independent dealers, should add electric pontoons, built in its own plant, to its range for model year 2030. It also set a register of governing assumptions, including first-year to third-year volumes of 160, 380 and 620 boats at an average wholesale price of $76,000. This section tests the external side of those assumptions. It does not survey the whole boating industry; it analyzes the conditions that determine whether customers in Lakemont's own territories will buy an electric pontoon at that price, and what else must be in place for them to do so.

Every figure below that a later section will use is labeled with an E number so that the financial projections in Module 3 and the marketing plan in Module 4 can cite it directly. External analysis earns its place in a capstone only when later sections can point to its numbers.

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Demand in the Target Territories

Demand begins with regulation. Using the published lists of lake-specific engine rules in the six states where Lakemont's 30 candidate dealers operate, the analysis counted 412 lakes within those dealers' territories that prohibit gasoline engines, cap horsepower at a level too low for a typical pontoon outboard or restrict operating hours for internal combustion engines (E1). Most are small, but 64 have more than 200 shoreline homes, and those lakes are where a pontoon, the standard family boat for small inland water, is most in demand.

The second input is sales. Registration data and dealer reports indicate about 9,800 new pontoons of all brands are sold each year in the 30 territories, of which Lakemont's share is about 14 percent (E2). The third input is Lakemont's dealer survey, to which 71 of 118 dealers responded. Among the 30 candidate dealers, 26 responded, and 21 of those reported at least five customer requests for an electric pontoon in the past season; across all respondents, dealers estimated that about one in twelve pontoon shoppers on restricted lakes left without buying because no suitable electric model was available (E3).

Combining the three, the analysis estimates that electric pontoons could account for 4 to 6 percent of new pontoon sales in the target territories by 2030, or about 390 to 590 boats a year (E4). If Lakemont, as the first mid-market builder to offer a factory-built model through these dealers, captured 30 to 40 percent of that demand, it would sell roughly 120 to 235 boats in its first full year. That range falls short of the third-year figure of 620 in the Module 1 register unless electric adoption grows much faster than current requests suggest.

What this page is doingDemand is built from three independent sources and stated as a range with its basis, and the section says plainly where the result contradicts the register, which is the finding later modules most need.
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Price, Financing and the Retail Gap

At the register's wholesale price of $76,000 and a typical dealer margin, an electric Lakemont pontoon would retail near $95,000, against about $57,000 for a comparably equipped gasoline model (E5). The dealer survey asked what premium customers had accepted or discussed. The median answer was about $25,000, with a wide spread: buyers on electric-only lakes, who have no gasoline alternative, accepted more, while buyers attracted by quiet and low maintenance accepted less (E6). A $38,000 gap is therefore larger than most of the market will pay today, and it is the single most important external finding for the financial and marketing sections.

Financing sharpens the problem. Most new pontoons are bought on loans, and higher interest rates raise the monthly cost of a $95,000 boat far more than a $57,000 one. The analysis assumes loan rates similar to recent levels through 2030; a significant fall would help the electric line more than the gasoline one.

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Competitors and Suppliers

Two premium builders owned by national marine groups have announced electric pontoon models, both priced above $120,000 at retail, and several small specialists sell electric boats in limited numbers. No mid-market builder yet offers a factory-built electric pontoon through a large dealer network. The competitive opening is therefore real but likely to be brief: the premium groups can bring their technology down-market once battery costs fall, and Lakemont's advantage would lie in being first in the mid-market with a dealer network already trained to support it.

Supplier power is the stronger force. Only a few manufacturers produce electric outboards and marine battery systems large enough for a pontoon, and Porter (2008) notes that suppliers gain power when there are few of them and when switching between them is costly, as it would be once a boat is engineered around one supplier's propulsion system. The register assumes that battery package costs fall 5 percent a year (A9); that is plausible given broader battery price trends, but Lakemont cannot control it, and a supplier with few rivals may keep much of the saving.

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The Ecosystem the Line Depends On

An electric pontoon succeeds only if other parties do their part. Adner (2006) distinguished co-innovation risk, the chance that partners whose innovations are needed will not deliver them in time, from adoption chain risk, the chance that intermediaries between the firm and the customer will not adopt the product. Both are present. On the co-innovation side, Lakemont depends on engine makers for electric outboards rated for a heavy pontoon and on battery suppliers for packs that meet marine safety standards. On the adoption side, it depends on dealers to invest in high-voltage service training and on marinas to provide charging, since many restricted lakes have shared docks rather than private shore power.

Adner and Kapoor (2010) found that when the bottleneck in a new technology generation lies with downstream complements rather than upstream components, early leaders gain less from being first. For Lakemont, the most likely bottleneck is downstream: dealer service capability and dock charging. That finding matters for the capstone, because it means that Lakemont's dealer program, not its engineering, is likely to decide how much being first is worth.

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Figures Carried Forward and a Register Change

Later sections should use E1 to E6 as stated and cite them by number, so that a reader of the financial projections can trace every demand figure back to the evidence behind it. Where a later section needs a figure this analysis did not produce, it should be added here as E7 and onward rather than estimated separately inside that section. The analysis also requires one change to the Module 1 register, recorded as follows. A2, volume, version 2, dated September 20, 2027: 140 boats in year one, 300 in year two and 470 in year three, rising 15 percent annually after that, based on E4 and a 30 to 40 percent share of electric demand in the target territories. The price assumption, A3, is not changed here, but E5 and E6 show that it implies a retail premium well above what most buyers have accepted. Module 3 must test whether the line pays at a lower price, and Module 4 must decide which customers the line is for.

What this page is doingThe section ends by changing the register in one place, with a date and reason, and by assigning the unresolved price problem to the modules that must solve it.
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References

Adner, R. (2006). Match your innovation strategy to your innovation ecosystem. Harvard Business Review, 84(4), 98-107.

Adner, R., & Kapoor, R. (2010). Value creation in innovation ecosystems: How the structure of technological interdependence affects firm performance in new technology generations. Strategic Management Journal, 31(3), 306-333. https://doi.org/10.1002/smj.821

Porter, M. E. (2008). The five competitive forces that shape strategy. Harvard Business Review, 86(1), 78-93.

How this MGMT 5091 Module 2 example is structured

MGMT 5091 Module 2 typically delivers external analysis with data a later section will reuse; your classroom's instructions decide the frameworks and the depth. This example keeps the analysis tied to the capstone question, sizes demand in the firm's own territories rather than the national market and treats the ecosystem as part of the environment. It closes with a list of the figures later modules must carry forward and a dated change to the assumptions register.

MGMT5091 Module 2 questions, answered

What does MGMT5091 Module 2 usually ask for?

MGMT5091 Module 2 often asks for the external analysis section of the capstone: the market, industry and environment the plan depends on, with data later sections will reuse. Your classroom's instructions decide the frameworks and length.

How do I size a market for a capstone without paid research?

Build the estimate from sources you can cite and combine: regulatory lists, registration or sales data, company records and a small survey of customers or intermediaries. State the result as a range with its basis rather than a single confident number.

What should I do if my external analysis contradicts an earlier assumption?

Change the assumption openly, in one place, with the date and the reason, and tell later sections what they must now resolve. A capstone that hides the contradiction loses far more than one that records it.

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