ECO 535 Week 6 Applying Economic Theory to a Business Problem Example

Reviewed by Davina Cresswell, MBA · University of Phoenix · Updated

This ECO 535 Week 6 example brings the course's economic theory to bear on one strategic decision a digital business must make. University of Phoenix ECO 535 closes with applying economic theory to a business problem, and in this final ECO/535 assignment MBA students show how platform economics, pricing, data and competition analysis combine into a recommendation. The case is the composite Savannah freight broker deciding whether to let other freight brokers post loads on its platform and use its carrier network, turning HarborLine from a broker with an app into a marketplace. The paper frames the decision, applies network effects, two-sided pricing, information goods economics, data and competition theory, models revenue under each option, weighs risks and recommends a staged opening with safeguards.

CourseECO 535 The Digital Economy (ECO/535)
Week6
Paper typeApplied digital economics decision paper
Lengthabout 1,158 words, 4 double-spaced pages plus title page and references
FormatAPA 7 student paper
SchoolUniversity of Phoenix
ProgramMBA
UpdatedOctober 2026

Free sample paper for ECO 535 Week 6

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Open the Platform to Rival Brokers or Keep It Closed? Applying Network Effects, Two-Sided Pricing, Data Economics and Competition Theory to HarborLine's Biggest Strategic Choice

[Student Name]

University of Phoenix

ECO/535: The Digital Economy

Week 6 Assignment

[Instructor Name]

[Date]

HarborLine Logistics, the proposal and all figures are composites written for a model paper; theory and research findings come from the sources listed.

What this part is doingThe title states the decision as a choice between two strategies, which the course's theories are then used to judge.
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HarborLine Logistics' composite freight platform now handles about 9,000 loads a month, mostly HarborLine's own brokered freight. Its carrier network of about 4,000 active trucking companies is its most valuable asset. Several smaller brokers, who lack technology budgets, have asked to post their loads on the platform and pay a fee. HarborLine's sales team objects: those brokers compete for the same shippers. The decision looks like a choice between helping rivals and protecting the business, but economic theory shows it is really a choice about what kind of business HarborLine wants to be. This paper applies the course's theory to decide.

Framing the Decision

Option one keeps the platform closed to HarborLine's own loads. Option two opens it to approved brokers, who post loads and pay a fee per booked load. Option three licenses the platform software to other brokers to run their own networks. The goal is long-run value, not this year's margin.

What Network Effects Say

Week 2 showed that carriers value a platform by the loads they can find there. Adding other brokers' loads, perhaps 6,000 more a month, would make the platform more attractive to carriers, who would see more choices, fewer empty miles and better backhauls. More active carriers would cover HarborLine's own shippers' loads faster, strengthening the indirect network effect. Katz and Shapiro (1985) showed that larger networks can be more valuable to all users; here, openness enlarges the network on both sides.

What Two-Sided Pricing Says

Rochet and Tirole (2003) showed that platforms set prices on each side according to the value each side creates for the other. Rival brokers would gain access to carriers they could not reach alone, so they should pay. Carriers, whose participation creates the value, should continue to use the platform free. A fee of 3 percent of each rival broker's booked load would be well below the cost of building their own technology and recruiting carriers.

What this part is doingApplying the two-sided pricing principle settles who pays in the open model.
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What Information Goods Economics Says

Week 3 showed that serving another load costs almost nothing once the platform exists. Rival brokers' loads would add revenue at near-zero marginal cost, spreading the platform's fixed costs over more volume. At 6,000 additional loads a month averaging $1,800, a 3 percent fee would bring about $324,000 a month, roughly $3.9 million a year, against perhaps $600,000 a year of added support and compliance costs.

What Data Economics Says

Week 4 showed that HarborLine's data is nonrival and valuable. Openness adds data: more loads and lanes improve pricing accuracy and analytics for everyone, including HarborLine. But it also creates risk: rival brokers will not join if they fear HarborLine will see their shippers and rates and poach them. A credible data wall, keeping each broker's shipper identities and rates invisible to HarborLine's sales team, is the price of their participation.

What Competition Theory Says

Parker et al. (2016) describe how platforms that open to third parties can grow faster than closed pipelines, but they also warn of conflicts when a platform owner competes with its users. The critique of dominant platforms that favor their own services (Khan, 2017) warns that if HarborLine steered the best carriers to its own loads, rival brokers would leave and regulators might take interest if the platform became dominant. Fair rules for load visibility and carrier assignment are necessary for openness to work.

The Rival Brokers' Decision

Small brokers would join only if the platform's carriers, fees and fairness beat their alternatives: commercial load boards that charge subscriptions but offer no booking or payment services, or building their own tools. Their main concern is trust. A neutral governance structure, with a broker advisory board and published rules, addresses it.

Revenue Under the Three Options

Under option one, platform revenue grows only with HarborLine's own volume. Under option two, fee revenue of about $3.9 million a year at maturity, plus faster load coverage that could add perhaps $1 million of margin on HarborLine's own freight, against about $600,000 of costs and some risk of losing shippers to rivals. Under option three, licensing could earn $1.5 million a year from a dozen brokers but would not build HarborLine's network.

What this part is doingComparing rough revenue under all three options shows that openness pays mainly through network effects, not fees alone.
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Lessons From Other Industries

Other industries have faced the same choice. Airlines' reservation systems began as tools for one carrier and became neutral networks used by all, under rules that limited the owner's ability to favor its own flights. Retail marketplaces that host third-party sellers alongside their own goods have grown faster than closed retailers but have drawn scrutiny for using sellers' data. Both cases show that openness creates value when the platform's owner commits credibly to fair treatment and loses trust when it does not.

What this part is doingDrawing parallels with reservation systems and marketplaces shows that the conditions for successful openness are general.
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Organizational Design

Opening the platform changes HarborLine's organization. The platform team must treat rival brokers as customers, while the brokerage team treats them as competitors. Separating the two into distinct units with their own leaders and metrics, and placing the platform's rules under a governance committee that includes an outside member, reduces conflicts. Over time, the board may consider making the platform a separate subsidiary.

Risks

The largest risk is that HarborLine's own shippers move to rival brokers who offer lower prices using the same carriers. Another is reputational: a rival broker's failure to pay carriers could damage the platform's standing. A third is distraction, as the company manages two businesses with different incentives. A fourth is that a larger rival could open its own platform to brokers with lower fees, turning openness into a price contest.

Safeguards

HarborLine will vet participating brokers' finances and require payment through the platform, guaranteeing carriers are paid. It will separate platform operations from its brokerage sales team, with access controls and an annual independent audit of the data wall. Load visibility and carrier assignment rules will be published and apply equally to all brokers.

The Recommendation

HarborLine should open its platform in stages: first to ten approved small brokers in its core Southeast lanes for one year, at a 3 percent fee, with a data wall, payment guarantees and published rules. It should expand only if carrier retention, load coverage times and its own shipper retention improve.

What Would Change the Decision

If HarborLine's own shipper retention falls by more than 5 percentage points, or if rival brokers' loads raise disputes with carriers, the company would pause expansion. If coverage times drop and carrier retention rises, it would open to more brokers and lanes.

Conclusion

Applied together, the course's theories favor opening HarborLine's platform: network effects grow with more loads, two-sided pricing places fees on brokers who gain access to carriers, near-zero marginal costs make added volume profitable and data grows richer. Competition and data theory set the conditions: a credible data wall, fair rules and staged expansion. With those safeguards, HarborLine becomes a marketplace rather than just a broker with an app.

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References

Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424-440.

Khan, L. M. (2017). Amazon's antitrust paradox. The Yale Law Journal, 126(3), 710-805.

Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy and how to make them work for you. W. W. Norton.

Rochet, J.-C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), 990-1029. https://doi.org/10.1162/154247603322493212

What the ECO 535 Week 6 instructions ask

In the final ECO 535 assignment, MBA students usually apply the economic theories studied in the course to a real or realistic business problem and recommend a decision. Common requirements include defining the problem, selecting and applying relevant theories such as network effects, platform pricing, information goods, data economics and competition, analyzing alternatives with evidence and simple quantitative estimates, assessing risks and stating a clear recommendation with implementation steps. Most versions expect the earlier weeks' analyses to feed the final decision. Show how each theory changes the decision, quantify where possible, address counterarguments and cite research in APA style.

How this ECO 535 Week 6 example is built

Opening a platform to competitors sounds self-defeating until the theory is applied, and the paper uses that tension to integrate the course. It begins with the proposal and its stakes. Network effect theory shows how more loads from other brokers would attract more carriers and benefit HarborLine's own shippers. Two-sided pricing determines what rival brokers should pay. Information goods economics shows that serving more users costs little. Data economics and competition theory raise the risks: rivals' access to HarborLine's carrier network, and the trust rival brokers must place in a competitor. A revenue model compares options. The paper recommends a staged opening with data walls and governance.

ECO 535 Week 6 grading rubric: where the points go

Faculty grading this capstone week usually reward an integrated application of several theories to one decision, supported by evidence and simple numbers. Credit goes to papers that frame the problem clearly, show how each theory points toward or away from the decision, model outcomes under alternatives, anticipate counterarguments and risks and recommend specific steps. Drawing on earlier weeks' analysis rather than repeating it, and stating what evidence would change the recommendation, shows mature judgment. Precise use of research, with sources cited in APA style, completes the capstone. Faculty also value a short table showing what each theory implies for the decision, since it makes the integration visible at a glance. A recommendation phrased as a staged commitment, with checkpoints, shows that the student understands uncertainty. Naming the person or team responsible for each step makes the plan credible.

ECO 535 Week 6 help: mistakes to avoid

The weakest final ECO 535 papers list theories without showing how each changes the decision. Apply each one and state its implication. Another frequent gap is a recommendation with no numbers; even rough estimates of revenue, costs and risks help. Students also ignore the other side's incentives, here the rival brokers who must trust the platform. Analyze their decision too. Avoid ignoring execution risks, such as running two businesses with different incentives under one roof. Include safeguards for data and fairness. Show the alternatives fairly before choosing. Finally, say what results after a year would confirm or reverse the decision. Tie each result to a number the firm already tracks, so the review does not depend on new data. Keep the recommendation to a few sentences that a board could vote on.

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ECO 535 Week 6 questions, answered

What does ECO 535 Week 6 usually cover?

It usually covers applying the course's economic theories, such as network effects, platform pricing, information goods, data economics and competition, to a business problem and recommending a decision with implementation steps.

Where can I find a free ECO 535 Week 6 sample paper?

A complete MBA capstone deciding whether a freight broker should open its platform to rivals, applying each theory with comments alongside, is published here in full. Ask, and your capstone draft starts free.

Why would a platform let competitors use it?

Because more participants on one side can make the platform more valuable to the other side, raising usage and fees, if the platform can manage conflicts and protect sensitive information.

What is the difference between a platform and a reseller?

A reseller buys and resells, controlling the transaction; a platform enables others to transact directly, earning fees while participants keep control of their own deals.

How should a business decide whether to open its platform?

By weighing network benefits and new fee revenue against risks such as losing control of customers, data leakage and participants' distrust, often testing openness in stages.

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