Organizational support is positively tied to faculty agility in a survey of 497 faculty

A cross-sectional survey collected data from 497 faculty members working in public and private higher education institutions in India.

The model has a middle step between buying technology and getting durable results from it, and that step is people adapting.

Two routes into faculty agility

The authors built the model on three frameworks: the Technology Acceptance Model, Socio-Technical Systems Theory and Dynamic Capability Theory. They tested it with structural equation modeling in IBM SPSS 29 and AMOS 28. In the Technology Acceptance Model, perceived usefulness means a person's belief that a technology will improve their job performance.

The results indicated that perceived usefulness was positively associated with AI adoption and faculty agility. Digital readiness and organizational support were positively and significantly associated with faculty agility. The paper defines agility as a faculty member's ability to adjust to technology-driven change, rethink instructional design, take up digital innovations and respond quickly to new teaching demands.

Faculty agility, in turn, was significantly associated with sustainable work outcomes, while partially mediating the relationships between dimensions of digital transformation and sustainable work outcomes. That gives the model its shape. It suggests that part of the link between digital transformation and faculty outcomes runs through whether faculty can adapt.

What the model asks of a campus AI plan

Look at the model from the chair of a university CIO or provost. According to the paper in Nature, perceived usefulness was positively associated with faculty agility, and digital readiness and organizational support were positively and significantly associated with faculty agility.

The first route depends partly on the tool.

The authors say the findings are meant for university administrators and policymakers building an agile faculty workforce, a faculty-supportive ecosystem and a digitally ready environment. That list is closer to an operating plan than a software purchase.

For operators who have licensed AI tools for teaching, assessment or research support but have not named anyone to own faculty support during the change, the conditional read could matter most. For them, the study suggests the support work deserves its own line in the plan, measured with the same care as adoption. For a campus where faculty readiness and support are already mature, the findings are more of a benchmark than a warning.

Where the finding holds and where it may not

Other research points in a similar direction without matching exactly. A study in SAGE's Journal of Creating Value, set in higher education institutions, found that AI-driven decision-making enhances organizational agility. The same study found that transformational leadership negatively moderates the relationship between AI-driven decision-making and organizational agility. Both results fit the idea that the human conditions around AI shape what it delivers.

The strongest counterpoint is that proposed middle steps don't always hold. A 2022 working paper from the University of Johannesburg's SARChI Industrial Development chair, by Waseem Rawat and Justin Barnes, surveyed 173 respondents. Its results indicated that AI capabilities can foster organizational agility and IT ambidexterity, but that IT ambidexterity does not translate an AI capability into organizational agility.

The Indian study's design has limits: a cross-sectional survey in one country's university system shows association, not cause. It can't show that more support produces more agile faculty, only that the two rise together in this sample.