MGMT 8805M Week 8 Adoption Analysis Example

Agile and Disruptive Innovation Management Walden University Free custom sample in 24 to 48h

This MGMT 8805M Week 8 adoption analysis example follows handheld ultrasound through 64 emergency departments in one composite state from 2019 to 2025 and finds that departments where radiology controlled credentialing adopted about eighteen months later than those that credentialed their own physicians. Rogers' five attributes, which all favored fast adoption, serve as the rival explanation. Walden MGMT 8805M, Agile and Disruptive Innovation Management, moves PhD in Management students from firms to whole markets with this assignment, and the sample extends Tushman and Anderson's competence-destroying change from firms to professions, builds a stakeholder map, tests a 2022 payer change as a second rival and draws on Greenhalgh and colleagues' review of diffusion in health services.

CourseMGMT 8805M Agile and Disruptive Innovation Management
WeekWeek 8
Paper typeAdoption analysis
LengthAbout 760 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramPhD in Management
UpdatedOctober 2026

Free sample paper for MGMT 8805M Week 8

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Who Slowed the Handheld: An Adoption Analysis Charting Handheld Ultrasound's Spread Through One State's Emergency Departments, Testing the Innovation's Own Attributes Against the Interests of the People Whose Competence It Threatened, and Finding a Dated Delay

Student Name

Walden University

MGMT 8805M: Agile and Disruptive Innovation Management

Instructor Name

Month Day, Year

What this page is doingThe title states the analysis's claim, that people rather than attributes slowed adoption, and promises a dated delay as evidence.
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Who Slowed the Handheld: An Adoption Analysis Charting Handheld Ultrasound's Spread Through One State's Emergency Departments, Testing the Innovation's Own Attributes Against the Interests of the People Whose Competence It Threatened, and Finding a Dated Delay

Innovation, Market and Period

This analysis follows the adoption of handheld ultrasound, led by Pocketsound's probe, in the 64 hospital emergency departments of one composite Midwestern state between 2019 and 2025. Its claim is that the innovation's attributes favored rapid adoption, but radiology departments, whose competence the handheld threatened, delayed it by about eighteen months in hospitals where they controlled ultrasound credentialing.

What this page is doingThe analysis names its innovation, market and period first, since adoption claims only hold for a defined population.
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The Adoption Record

[after]

Routine use means that handhelds were available on every shift and used in at least weekly documented scans, from a state emergency physicians' association survey. Credentialing control comes from hospital medical staff bylaws.

Table 1

Emergency Departments Using Handheld Ultrasound Routinely, by Year and Credentialing Control

YearDepartments where emergency medicine credentials its own physicians (n = 38)Departments where radiology controls ultrasound credentialing (n = 26)
201920
202071
2021152
2022243
2023309
20243417
20253622

The Attributes as Rival Explanation

Rogers (2003) identified five attributes that shape how fast an innovation spreads: relative advantage, compatibility with existing values and practice, complexity, trialability and observability. The handheld scores well on each. It is far cheaper than a cart, fits the bedside checks emergency physicians already perform, is simple to use with guidance software, can be trialed for a few thousand dollars and produces results colleagues can see. If attributes explained adoption, the two columns of the table would rise at similar rates, since both groups faced the same product. They did not.

Competence Destroyed, Inside the Market

Tushman and Anderson (1986) distinguished technological changes that enhance the competence of existing firms from those that destroy it, and found that competence-destroying changes were usually introduced by new entrants. This analysis extends their distinction from firms to groups of people within a market. For emergency physicians, the handheld enhanced competence: it extended skills they already used. For radiologists and sonographers, it destroyed part of theirs, since a bedside scan by an emergency physician replaced a study they would otherwise have performed and read.

What this page is doingThe analysis extends a theory about firms to people, and marks the extension as its own.
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The Stakeholder Map

Emergency physicians gained speed and independence and controlled purchasing within their departments' budgets. Radiology departments lost study volume and, where they controlled credentialing, could require emergency physicians to complete training and supervised scans before using handhelds. Hospital administrators gained lower costs but deferred to medical staff on credentialing. Payers were neutral until 2022, when a composite state payer began reimbursing bedside scans by credentialed physicians.

The Dated Delay

In the 26 hospitals where radiology controlled credentialing, departments adopted the handheld about eighteen months later than in hospitals where emergency medicine credentialed itself. The table shows that half of the first group had adopted by 2022, while half of the second group adopted only in 2024. Minutes from three radiology-controlled hospitals show the credentialing requirement, 150 supervised scans reviewed by a radiologist, adopted in 2021, the year handheld use began to grow. Greenhalgh et al. (2004), reviewing diffusion in health service organizations, found that innovations threatening professional boundaries often met resistance from the professions affected, which is consistent with this pattern.

The Payer Change as a Second Rival

A second rival explanation is the 2022 reimbursement change, which paid only for scans by credentialed physicians. If payment drove adoption, both groups should have accelerated after 2022, and they did: the radiology-controlled group went from 3 departments to 9 in a year. But the timing of the gap does not fit a payer explanation alone. The self-credentialing group had already reached 24 departments before payment began, and the radiology-controlled group's acceleration came only after its hospitals' credentialing programs graduated their first physicians in 2023. Payment made credentialing worth completing; it did not remove the delay that credentialing created.

What the Delay Cost

For Pocketsound, the delay meant that a third of the state's emergency departments stayed out of reach for about eighteen months. For patients in those hospitals, it meant fewer bedside scans during that period, though the analysis cannot say whether outcomes differed. For Brightwater, the delay was a reprieve it did not create and could not extend.

Limits of the Analysis

It cannot rule out that radiology-controlled hospitals differ in other ways, such as size or teaching status, that slowed adoption. Comparing hospitals of similar size would test that, as would checking whether the radiology-controlled hospitals were also slower to adopt other bedside technologies in the same years.

References

Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: Systematic review and recommendations. Milbank Quarterly, 82(4), 581-629. https://doi.org/10.1111/j.0887-378X.2004.00325.x

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Tushman, M. L., & Anderson, P. (1986). Technological discontinuities and organizational environments. Administrative Science Quarterly, 31(3), 439-465. https://doi.org/10.2307/2392832

MGMT 8805M Week 8 instructions, in plain terms

Week 8 asks you to explain the pace of one innovation's adoption in one market. Name the innovation, market and period, and state your claim about who slowed or sped adoption. Present a dated adoption record, ideally split by a feature that matters to your claim. Treat the innovation's own attributes, as diffusion research describes them, as the rival explanation and say what it predicts. Then examine stakeholders: for each group, what the innovation cost them, what they controlled and what they did. Use research on competence-enhancing and competence-destroying change, extending it with care. Find at least one dated delay that a stakeholder group caused. Test any other rival, and state limits. Expect five to seven pages.

Inside the MGMT 8805M Week 8 example

The sample states its claim about credentialing control in the opening section. The adoption table splits departments by who controlled ultrasound credentialing, showing half of one group adopting by 2022 and half of the other by 2024. A section shows that Rogers' attributes predict similar rates for both groups, which the data contradicts. Tushman and Anderson's distinction is extended to emergency physicians and radiologists. The stakeholder map covers physicians, radiology, administrators and payers. Credentialing minutes date the delay to 2021, and Greenhalgh and colleagues' review supports the pattern. A 2022 payer change is tested as a second rival. The cost of the delay and the analysis's limits close the paper.

Reading the MGMT 8805M Week 8 rubric

Graders weight the adoption record and the dated delay most. The record should be dated and split in a way that tests the claim. Strong analyses treat diffusion attributes as a serious rival with its own prediction rather than as background. Stakeholder paragraphs should state costs, control and actions, with evidence. Extending research beyond its original setting is acceptable when the extension is marked and reasoned. A dated delay linked to a specific group's action, with documentary evidence, distinguishes strong work. Testing a second rival and acknowledging confounders show rigor. Analyses that list Rogers' attributes without testing them, or blame resistance without dating it, score in the middle.

MGMT 8805M Week 8 help: mistakes that cost marks

Find adoption data with dates and a way to split it, such as by hospital type, region or governance. Then think about who lost something when the innovation arrived and what they controlled, such as credentialing, purchasing or standards. Look for documents, like committee minutes or policy changes, that date their actions. Compare the timing of those actions with the adoption curve. State what diffusion attributes would predict and check it against your split. If something else changed in the same period, such as payment rules or staffing, test it as a rival too. Tutors can also help you build the adoption table and stakeholder map, and the handheld ultrasound analysis above shows how the pieces fit.

Get a MGMT 8805M Week 8 example written to your instructions

Include the Week 8 prompt, the rubric, and the innovation and market you intend to trace, and an adoption analysis is drafted and returned in 24-48h, free as a first sample. Indicate whether your section expects a stakeholder map or a curve, or both. Uptake figures belong to the sample's market and will not carry over to yours.

More MGMT 8805M papers and PhD in Management samples

MGMT 8805M Week 8 questions, answered

Where can I find a free MGMT 8805M Week 8 sample paper?

The handheld ultrasound adoption analysis above is the Week 8 sample, finished, with its adoption table.

Who slowed adoption in the MGMT 8805M Week 8 sample?

Radiology departments that controlled ultrasound credentialing, delaying adoption by about eighteen months.

Why do Rogers' attributes not explain the pattern?

Both groups faced the same product, so attributes predict similar adoption rates, but the rates differed.

What is a competence-destroying change?

Tushman and Anderson's term for a change that makes existing skills less valuable, extended in the sample to professions.

How does the sample treat the 2022 payer change?

As a second rival that explains the later acceleration but not the gap that existed before payment began.