| Course | BUS 733 Transforming the Business (BUS/733) |
|---|---|
| Week | 2 |
| Paper type | Doctoral complexity and environment analysis |
| Length | about 1,165 words, 4 double-spaced pages plus title page and references |
| Format | APA 7 student paper |
| School | University of Phoenix |
| Program | DBA |
| Updated | October 2026 |
Free sample paper for BUS 733 Week 2
Transformers From Overseas, Solar Panels Under Tariffs and Storms at Home: Complexity and the Global Environment for a Rural Cooperative
[Student Name]
University of Phoenix
BUS/733: Transforming the Business
Week 2 Assignment
[Instructor Name]
[Date]
Great Plains Energy Cooperative and all details are composites written for a model paper; supply and policy conditions are described generally.
Great Plains Energy Cooperative, the composite cooperative supplying 22 rural electric cooperatives in Kansas and Nebraska, has set a vision to replace its coal plants with wind, solar, storage and gas by 2035. Its leaders initially saw the plan as an engineering and financing task. Early steps revealed otherwise: a transformer for a new substation has a lead time of nearly three years, solar panel prices changed with trade rulings, and a proposed wind project sits in an interconnection queue with hundreds of others. An organization can serve customers in a few rural counties and still be at the mercy of factories, trade decisions and weather systems thousands of miles away. This paper analyzes the complexity and global environment shaping the transformation.
Complex Versus Complicated
A complicated problem, like designing a substation, has many parts, yet engineers can model how those parts behave and arrive at a reliable answer. A complex problem has many interacting agents whose combined behavior cannot be fully predicted. The cooperative's transformation includes both: engineering tasks are complicated, while the interaction of markets, policy, technology, weather and member behavior is complex.
Complexity Leadership Theory
Uhl-Bien et al. (2007) proposed complexity leadership theory, which views organizations as complex adaptive systems and describes three functions. Administrative leadership plans and coordinates through formal structures and budgets. Adaptive leadership is not a position but a process that arises when people with different knowledge work on shared problems and produce new ideas. Enabling leadership sits between the two, protecting space for that experimentation while connecting useful ideas back to the formal system.
Why Traditional Planning Falls Short
Great Plains has historically used a 20-year integrated resource plan built on a single load forecast and fixed equipment costs. That method worked when coal plants dominated and change was slow. Under current conditions, a plan finalized in one year can be outdated by the next because tariffs, interest rates and lead times shift together. The planning team noticed that each revision changed the preferred portfolio, a sign that the problem is complex rather than merely complicated. The lesson is not to abandon the plan but to treat it as a hypothesis tested against events.
Mapping the Environment as a System
The cooperative's environment includes global equipment manufacturers, trade policy, regional grid operators, federal and state regulators, financial markets, weather, member demand and technology costs. These forces interact: tariffs raise solar costs, which shifts planning toward wind, which increases the need for transmission, which depends on interconnection queues and transformer supply.
Global Equipment Supply
Large power transformers are produced by a limited number of manufacturers, many overseas, and demand from utilities worldwide has stretched lead times to two to four years. Batteries depend on global supply chains for cells and materials. Delays anywhere ripple into the cooperative's schedule.
Trade Policy
U.S. tariffs and trade remedy actions have affected solar panels and other equipment. Amiti et al. (2019) found that the costs of U.S. tariffs imposed in 2018 were passed almost entirely to U.S. buyers. For the cooperative, trade policy changes can raise project costs abruptly and change which technologies are economical.
Interconnection Queues
New generation must be studied and approved before connecting to the regional grid. Queues have grown long as many developers seek connections, and studies can take years. Projects drop out, changing the costs assigned to others in unpredictable ways.
Extreme Weather
Winter storms and summer heat strain the grid and expose vulnerabilities in all generation types. Recent winter storms caused outages at gas and coal plants and reduced wind output. Weather extremes interact with the generation mix in ways that historical data may not predict.
Policy Swings
Federal clean energy incentives expanded in 2022 and narrowed in 2025, and state policies differ. Policy changes interact with equipment costs and interest rates, altering project economics within months.
Member Behavior
Members' adoption of rooftop solar, batteries, electric vehicles and electrified irrigation is shaped by prices, technology and neighbors' choices. These adoption patterns can accelerate quickly once they begin, changing load in ways forecasts struggle to capture.
Interactions Among Forces
The most important risks come from combinations. A severe winter storm that coincides with a transformer shortage could leave a damaged substation out of service for months. A policy change that cuts incentives at the same time interest rates rise could make a wind project uneconomic just after the cooperative has committed to retiring a coal unit. Fast growth in irrigation electrification during a period of long interconnection delays could force reliance on market purchases at high prices. Analyzing forces one at a time misses these compounding effects.
Scenario Planning
Schoemaker (1995) described scenario planning as constructing several plausible futures around key uncertainties to test strategies, rather than relying on a single forecast. The cooperative chose two uncertainties: the pace of equipment and policy constraints and the growth of new loads. Four scenarios follow: constrained supply with slow load growth, constrained supply with fast growth, open supply with slow growth and open supply with fast growth.
Insights From the Scenarios
In constrained-supply scenarios, early equipment orders and flexible gas capacity matter most. In fast-growth scenarios, transmission and storage are critical. A portfolio that includes wind, storage, some solar and flexible gas performs acceptably across all four, while an all-solar plan does poorly if trade restrictions tighten.
Signposts
Each scenario has early indicators. Transformer quotes and delivery promises, the outcome of trade cases, queue study timelines, member applications for large new loads and changes in federal guidance will tell the scanning team which future is unfolding. The board will receive a one-page signpost report each quarter so that it can shift the pace of investment without reopening the whole strategy.
What Can Still Be Planned
Complexity does not eliminate planning. Engineering designs, financing structures, workforce transition plans and maintenance schedules are complicated but plannable. The challenge is to plan these well while staying adaptive to complex forces.
Adaptive Recommendations
The cooperative will order long-lead equipment early, sign flexible contracts with options to expand or delay, diversify suppliers and technologies, build a small scanning team to monitor supply, policy and technology and review the plan quarterly against scenario signposts.
Enabling Leadership
Following complexity leadership theory, executives will create conditions for adaptation: cross-functional teams with authority to adjust project designs, forums where engineers, member services and finance share emerging information and tolerance for small experiments, such as battery pilots with member cooperatives.
Research Questions
The case raises questions about how regional organizations build adaptive capacity to global supply shocks and how enabling leadership functions in highly regulated, safety-critical industries.
Conclusion
Great Plains' transformation is shaped by interacting global and local forces: equipment supply, trade policy, interconnection queues, weather, policy swings and member behavior. Complexity leadership theory and scenario planning show why single forecasts fail and how a portfolio approach, flexible contracts, early orders, scanning and enabling leadership can help the cooperative adapt.
References
Amiti, M., Redding, S. J., & Weinstein, D. E. (2019). The impact of the 2018 tariffs on prices and welfare. Journal of Economic Perspectives, 33(4), 187-210. https://doi.org/10.1257/jep.33.4.187
Schoemaker, P. J. H. (1995). Scenario planning: A tool for strategic thinking. Sloan Management Review, 36(2), 25-40.
Uhl-Bien, M., Marion, R., & McKelvey, B. (2007). Complexity leadership theory: Shifting leadership from the industrial age to the knowledge era. The Leadership Quarterly, 18(4), 298-318. https://doi.org/10.1016/j.leaqua.2007.04.002
What the BUS 733 Week 2 instructions ask
The second BUS 733 paper typically asks doctoral students to analyze complexity and the global environment affecting an organization's transformation. Common requirements include explaining complexity theory or complexity leadership, analyzing interdependent external forces, including global supply chains, trade and geopolitics, examining how complexity affects planning and leadership, using tools such as scenario planning and recommending adaptive approaches. Some prompts ask students to compare complicated and complex problems. Use research, apply concepts to specific forces, distinguish what can be planned from what must be adapted to and support each claim with APA citations. Explain how local organizations are exposed to global forces, since that exposure is often underestimated.
How this BUS 733 Week 2 example is built
A rural cooperative might seem insulated from global events, but its transformation depends on transformers made overseas, solar panels subject to trade rules, batteries with global supply chains and a regional grid strained by weather, and the paper analyzes this complexity. Complexity leadership theory distinguishes administrative, adaptive and enabling leadership. The environment is mapped as interacting forces. Long lead times for transformers, tariffs that raise panel prices, years-long interconnection queues and more severe storms interact unpredictably. Scenarios explore four futures. The paper recommends a portfolio approach, flexible contracts, early equipment orders, a scanning team and an executive role focused on giving frontline teams room to adjust.
BUS 733 Week 2 grading rubric: where the points go
Strong complexity papers distinguish complex from merely complicated problems and use theory to explain why traditional planning falls short. Faculty credit accurate use of complexity leadership theory, a systems view of interacting forces, specific analysis of global supply chains and policy, scenarios that reveal different futures and recommendations that build adaptive capacity. Evidence on trade policy effects strengthens the analysis, especially when the writer shows how a cost change in one place alters choices elsewhere. Recognizing that some elements can still be planned shows balance and keeps the paper from sounding fatalistic. Reviewers also look for research questions that extend the case into scholarship, a logical flow from theory to environment to recommendations and references drawn from peer-reviewed journals rather than trade press alone.
BUS 733 Week 2 help: mistakes to avoid
Students often list environmental factors without showing how they interact. Map connections. Another frequent gap is treating complexity as a reason to stop planning. Explain what can still be planned and what requires adaptation. Students also overlook global exposure in local organizations. Trace supply chains. Avoid predicting a single future; use scenarios. Connect theory to leadership practices. Use current information with appropriate caution. Name the signposts that would tell leaders which scenario is unfolding, because scenarios without signposts rarely change decisions. Keep numbers modest and clearly labeled as estimates when the case is a composite. Finally, recommend structures that sense and adapt, since complexity rewards organizations that learn quickly.
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BUS 733 Week 2 questions, answered
What does BUS 733 Week 2 usually cover?
It usually covers complexity and the global environment: complexity theory and leadership, interdependent external forces, global supply chains and trade, effects on planning and adaptive approaches such as scenario planning.
Where can I find a free BUS 733 Week 2 sample paper?
The complete complexity and environment analysis for a rural electric cooperative, with scenarios and notes, is shown above with scenarios and margin notes, and writers can prepare a custom draft built around your own organization.
What is complexity leadership theory?
A framework describing leadership in complex adaptive systems as the interplay of administrative leadership, adaptive leadership that emerges from interactions and enabling leadership that protects room for experiments and links new ideas to formal decisions.
What is the difference between complicated and complex problems?
Complicated problems have many parts but predictable cause-and-effect relationships, so specialists can work out a reliable answer. Complex ones involve interacting elements whose behavior cannot be fully predicted, requiring experimentation and adaptation.
How do global supply chains affect local organizations?
Local organizations often depend on equipment and materials sourced globally, so trade policy, manufacturing capacity and shipping disruptions abroad can delay projects and raise costs at home.
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