Higher education doesn’t lack ideas. It lacks sustained momentum to move good ideas through the messy middle—where strategies meet people, pilots stall, and transformation quietly loses energy.
That’s why motivation is not a “soft” factor in change initiatives. It is the operating system that determines whether new policies, technologies, and models actually take root.
The Human Factor
In my 2019 doctoral dissertation titled From Policy to Compliance: US Higher Education Faculty Concerns over Institutional Digital Content Accessibility Policies, I examined motivation as a critical factor in adoption by focusing on faculty concerns, perceptions, and stages of readiness in response to institutional digital accessibility policies, using the Concerns-Based Adoption Model (CBAM) as my primary framework. CBAM was well suited to this work because it foregrounded the human response to change—giving faculty voice and making visible how awareness, personal impact, management burden, and perceived consequences shape compliance.
Looking back at the lessons learned over the last six years managing multiple technology and process implementation initiatives, what was missing in my dissertation was an explicit examination of how institutional technology choices and business priorities interact with human motivation, rather than focusing primarily on individual faculty concerns as the driver of adoption.
CBAM largely treats technology and institutional drivers as contextual inputs rather than explicit, co-equal dimensions of adoption. While it is a powerful tool for getting feedback during adoption, it is essentially a micro lens focusing on the Target of Change. As my multiple roles changed to those of a Change Agent, I kept coming across barriers to successful implementation directly related to motivation of people I was working with.
In one instance, where my task included recruiting people for roles that were outside of their full-time employment, I directly asked my supervisor how we were compensating them. I was told this was not my concern. In another instance, where I was conducting training for those already recruited for this role, one of the participants announced that he did not believe in what we were trying to achieve and was only there due to being “forced to be there.”
How successful could I be as a change agent in this scenario if I could not communicate WHAT WAS IN IT FOR THEM?
Accelerating Implementation Methodology (AIM)
AIM (Accelerated Implementation Methodology) is a structured, end-to-end approach to change that focuses on turning strategy into sustained behavior change by aligning business outcomes, leadership action, and human readiness. AIM begins by clearly defining the change and its business case, then builds the capacity of change agents and sponsors to lead it effectively. It assesses the organizational climate and implementation history to determine readiness and risk, generates durable sponsorship to set the pace and credibility for change, and deliberately chooses the right mix of compliance- and commitment-based approaches. AIM emphasizes proactively building target readiness by addressing resistance, information gaps, and capability needs; designing targeted, two-way communication; and reinforcing new behaviors through aligned incentives and consequences. Finally, it ensures cultural fit and prioritizes the highest-impact actions so that limited time and resources are used where they matter most—recognizing that successful change is not just about installing new systems or policies, but about creating the conditions that make adoption stick.
In AIM, motivation is not treated as a byproduct of communication or goodwill—it is deliberately engineered through role clarity, capacity building, and visible leadership commitment. Building agent capacity directly addresses “what’s in it for me” by equipping change agents with the skills, authority, and support needed to succeed, reducing personal risk and increasing confidence, credibility, and professional value. At the same time, strong sponsorship answers the motivational question at scale: when leaders consistently express, model, and reinforce the change, they signal that the effort matters, that resources will follow, and that individuals will not be left to absorb the cost of change alone. Together, agent capacity and sponsorship transform motivation from abstract buy-in into a practical calculation—this change is supported, achievable, recognized, and worth my effort—which is why AIM treats them as core levers for adoption rather than optional supports.
What's in It For Me (WIIFM)
In AIM, motivation is deeply personal. People do not decide to adopt change based on institutional goals alone—they decide based on how the change affects their own workload, risk, credibility, identity, and success. “What’s in it for me?” looks different depending on role, power, and proximity to the change. A senior leader may be motivated by strategic outcomes and reputation, a manager by clarity and control, a faculty or staff member by autonomy, time, and confidence that they can meet expectations without being penalized. AIM recognizes these differences and treats motivation as role-specific, not universal.
AIM builds motivation by making rewards and consequences explicit rather than implied. For some people, the reward is reduced friction—less rework, fewer crises, clearer expectations. For others, it is professional safety—knowing they will not be blamed, exposed, or left unsupported as work changes. Still others are motivated by recognition, growth, and influence—being seen as competent, valued, and ahead of the curve. AIM surfaces these drivers through readiness assessments and sponsorship conversations, then designs the change so individuals can see tangible benefits tied to their daily reality.
Equally important, AIM does not ignore consequences. Motivation increases when people understand that old behaviors will no longer be reinforced and that new behaviors will be noticed and rewarded. Consequences in AIM are not punitive by default; they are clarifying. When sponsors consistently reinforce expectations—by allocating time, adjusting priorities, recognizing progress, and addressing non-adoption—people no longer have to guess whether the change is optional. The motivational message becomes clear: engaging with this change reduces risk, increases support, and positions me for success, while ignoring it carries visible costs. In AIM, motivation is achieved not by asking people to care more, but by structuring the environment so that changing is the safest, most rational, and most rewarding choice.
Conclusion
If I had incorporated an AIM lens into my dissertation, I would have expanded the analysis to more intentionally examine how technology objectives (such as tool usability, integration into existing workflows, and perceived instructional value), business objectives (including risk mitigation, institutional accountability, and strategic priorities), and human objectives (faculty autonomy, motivation, identity, and capacity) interact to either reinforce or undermine adoption. An AIM framework would have allowed me to move beyond understanding how faculty experience change to also interrogate why institutions design change the way they do—and where misalignment between technological expectations, organizational goals, and human realities creates motivational friction. In retrospect, AIM would have provided a complementary macro lens to CBAM’s micro focus, offering a more complete picture of adoption as an alignment challenge rather than solely a readiness or compliance problem.
