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PMGT2822 Chap.6 Diffusion, Adoption and Reframing in Practice

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Chapter 6 of 6 · PMGT2822

Diffusion, Adoption and Reframing in Practice

Diffusion concerns how an innovation spreads through communication channels over time within a social system. Adoption is not a property of the artefact alone. People interpret relative advantage, compatibility, complexity, trialability and observability through their work, peers, values and risk.

Relative advantage must be defined from the adopter's perspective.

Sponsor cost savings can coexist with operator burden. Compatibility includes values, workflow, infrastructure and prior experience. Complexity can be technical or organisational. Trialability reduces commitment risk, while observability helps others see results—but visible use can create social pressure or stigma.

Adopter categories are descriptive patterns, not fixed personality types.

Early users may have resources, autonomy or network position that later groups lack. Designing only for enthusiasts can create a pilot that does not transfer. Segment by context and need rather than label reluctant adopters as resistant.

Communication networks shape spread. Opinion leaders can lend credibility; boundary spanners translate across groups; homophilous networks support trust but may trap information.

Formal communication can announce an innovation while informal peer evidence determines whether it is tried. Map the relation relevant to adoption, such as advice or trust, not a generic stakeholder network.

Diffusion includes knowledge, persuasion, decision, implementation and confirmation, but real processes loop. New experience can reframe the problem or lead to rejection.

Adoption support should continue after initial use and collect disconfirming evidence. Counting registrations mistakes first contact for sustained value.

Reinvention can improve local fit and ownership, yet uncontrolled variation can weaken safety, interoperability or the evidence base. Define core functions and adaptable elements. Capture modifications, outcomes and reasons.

Governance should learn from local use rather than insist on cosmetic fidelity or permit unbounded drift.

Worked stalled pilot: one site succeeds with an enthusiastic champion and intensive support. Formal rollout provides manuals but ignores peer advice networks, workload and local systems. Adoption stalls.

Build local trials, credible peer demonstration, integration help and feedback, while testing whether the original value survives outside exceptional support.

Trust matters where benefits are uncertain or data and identity are exposed. Explain evidence, governance and limits; allow questions; respond to failure; avoid manipulation.

Influence based on relationship and transparent consequence is different from exploiting bias. Ethical adoption preserves meaningful choice where possible.

Final evaluation returns to the frame. Did adoption improve the reframed outcome, distribute benefit fairly and avoid new harm? If users reinvent the solution, the project may need a new package or success measure.

Reframing is therefore not only an opening workshop; it remains an ongoing review practice.

An adoption dashboard should separate reach, initial trial, repeated use, correct use and realised outcome. A high registration count with low continued value may signal poor compatibility or coercive rollout.

Segment results by site and affected group so an average does not conceal benefit for powerful users alongside transferred burden elsewhere.

Governed reinvention needs a change record. Define invariant safety, data and interoperability functions; allow local alteration of workflow, language or support where appropriate; and review how each adaptation affects outcome.

Successful local changes can inform the core package, while harmful drift should trigger correction without treating every deviation as disobedience.

Scale claims need ordinary conditions. Compare the championed pilot with sites that have normal staffing, infrastructure and support, and state which contextual conditions are necessary.

If advantage disappears outside exceptional support, revise the package, rollout boundary or benefit claim before describing the innovation as transferable.

In this chapter

What this chapter covers

  • 01

    diffusion

  • 02

    compatibility

  • 03

    reinvention

  • 04

    design adoption through relative advantage, compatibility, trust, networks and learning while preserving review of the original frame

  • 05

    Adoption rate is not equivalent to project benefit, ethical legitimacy or faithful reproduction of the original solution.

Worked example · free

Scale beyond an exceptional pilot

Q [5 marks]. AskSia original practice weighting: One champion and intensive support create success.
  • 1Separate core value from support.
  • 1Map peer networks.
  • 1Assess compatibility.
  • 1Design local trial and feedback.
  • 1Measure sustained outcome.
Replicate the value pathway under normal support, use trusted local networks and allow governed reinvention while measuring benefit beyond sign-up.
Sia tip — Adoption is a social process and an outcome hypothesis.
Glossary

Key terms

diffusion
The spread of an innovation through communication channels over time within a social system.
compatibility
The perceived fit of an innovation with existing values, experience, practices and needs.
reinvention
Modification of an innovation by adopters during implementation or use.
FAQ

Diffusion, Adoption and Reframing in Practice FAQ

What is the main reframing move?

Design adoption through relative advantage, compatibility, trust, networks and learning while preserving review of the original frame.

What limit matters?

Adoption rate is not equivalent to project benefit, ethical legitimacy or faithful reproduction of the original solution.

Are the cases official project prompts?

No. They are original AskSia practice aligned to the recovered 2026 unit.

How should I revise?

Rebuild the map or frame, change one stakeholder, assumption or adoption condition, and predict the new option set.

Study strategy

Exam move

Retrieve the frame, map assumptions and stakeholders, generate a changed option, test one uncertainty and state the adoption boundary.

Working through Diffusion, Adoption and Reframing in Practice in PMGT2822? Sia is AskSia’s AI Project Management tutor — ask any PMGT2822 Diffusion, Adoption and Reframing in Practice question and get a clear, step-by-step explanation grounded in how PMGT2822 is taught and assessed. Read this chapter free, then take your hardest questions to Sia.

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