Universities are not static institutions. They evolve in response to student need, research opportunity, regulatory change and financial pressure. No serious member of staff disputes that change is sometimes necessary. The real question is not whether change occurs, but how it is led.

Good leadership is not defined by the scale of transformation achieved, nor by the speed with which policies are introduced. It is defined by whether change strengthens institutional trust, improves working conditions and enhances the capacity of staff to deliver teaching and research at a high level. In the public sector — and particularly in higher education — that requires more than managerial authority; it requires legitimacy.

The UK’s Advisory, Conciliation and Arbitration Service (ACAS) provides guidance that consultation must be “meaningful,” which entails providing sufficient information, allowing adequate time for response, and genuinely considering representations before decisions are taken (ACAS, “Consultation”). Meaningful consultation is not a communication exercise. It is a decision-shaping process. Where implementation is already underway, consultation ceases to be meaningful and becomes merely retrospective explanation.

Where implementation is already underway, consultation ceases to be meaningful and becomes merely retrospective explanation.

The distinction is not semantic. Research in organisational psychology consistently demonstrates that procedural justice — the fairness of the process by which decisions are made — is a key determinant of employee trust and organisational commitment (Colquitt et al., 2001; Tyler & Blader, 2003). Employees are more likely to accept difficult outcomes when they believe the process has been fair, inclusive and open to influence. Conversely, when change is perceived as predetermined, even well-designed initiatives can generate resistance.

John Kotter’s widely cited model of change management emphasises the importance of establishing urgency, building a guiding coalition, and generating broad-based buy-in before embedding new practices (Kotter, 1996). While sometimes critiqued for managerial bias, even Kotter’s framework assumes engagement precedes implementation. The “quick wins” stage follows coalition-building and communication; it does not precede them.

In higher education specifically, sectoral agreements reinforce this emphasis on partnership. The Joint Negotiating Committee for Higher Education Staff (JNCHES) Framework Agreement (2003) was explicitly grounded in partnership between institutions and recognised trade unions, defining partnership as “negotiating to reach agreement on a timely basis.” The expectation is not unilateral managerial design followed by staff adjustment, but co-development of structures affecting pay, grading and progression.

Similarly, the JNCHES guidance on pay progression requires arrangements to be developed “in partnership with recognised trade unions” and to operate with demonstrable fairness and transparency (JNCHES, 2004). These documents were created precisely because grading structures and contribution-related mechanisms have equality implications and legal risk. Analytical job evaluation is not a bureaucratic ritual; it is a safeguard against systemic inequity.

The Public Sector Equality Duty under section 149 of the Equality Act 2010 requires public bodies to have “due regard” to equality impacts in the exercise of their functions. Courts have repeatedly clarified that “due regard” must be exercised at a formative stage of policy development, not after decisions have been taken (R (Brown) v Secretary of State for Work and Pensions [2008]). In other words, equality analysis must shape policy — not merely accompany it.

Taken together, these frameworks point toward a model of change that is deliberate, staged and evidence-based.

An Appropriate Model of Change

First, good leaders define the problem clearly. They articulate not only what is changing, but why the existing system is inadequate (with full justification and evidence, not deliberate misunderstandings of the current system). They share data. They invite scrutiny of assumptions. They demonstrate that alternatives have been considered. Amy Edmondson’s work on psychological safety emphasises that organisations perform better when employees feel able to question underlying premises without penalty (Edmondson, 2018). A leadership culture that discourages challenge may accelerate decisions, but it reduces decision quality.

Second, good leaders separate consultation from implementation. They do not launch operational mechanisms while consultation is ongoing. Where pilots are used, they are explicitly framed as pilots, with evaluation criteria agreed in advance. Implementation follows consultation; it does not overlap with it in ways that pre-empt outcomes.

Implementation follows consultation; it does not overlap with it in ways that pre-empt outcomes.

Third, good leaders respect workload realities. Universities operate on cyclical academic calendars. Introducing major structural changes during peak marking periods, enrolment cycles or regulatory deadlines is rarely conducive to thoughtful engagement. Work-life balance guidance in the higher education sector has repeatedly cautioned against intensification of work without regard to existing contractual expectations (JNCHES Work-Life Balance Guidance, 2008). Respecting staff capacity is not indulgence; it is operational prudence.

Fourth, good leaders align change with existing agreements rather than attempting to supersede them by speed. Where collective agreements govern grading structures, workload allocation or progression mechanisms, those agreements form part of the institutional governance architecture. Replacing them requires negotiation. Attempting to operationalise new systems before agreement has been reached creates not only industrial tension but governance risk.

Fifth, good leaders understand that trust is cumulative and fragile. The Edelman Trust Barometer has repeatedly shown declining trust in institutions where stakeholders perceive opacity or inconsistency (Edelman, 2023). Universities, which rely on intellectual credibility and reputational capital, are particularly vulnerable to trust erosion among staff. Once staff conclude that consultation is performative, subsequent consultations become increasingly difficult to conduct meaningfully.

It is important to distinguish decisiveness from haste. In public-sector governance literature, effective leaders are often characterised not by speed but by sequencing — knowing when to consult, when to decide, and when to consolidate (Benington & Moore, 2011). Decisiveness without legitimacy produces compliance at best, disengagement at worst.

None of this implies that universities cannot make difficult decisions. Financial constraints are real. Regulatory environments shift. Strategic repositioning may be necessary. But there is a qualitative difference between strategic change led through engagement and structural change experienced as imposition.

An appropriate, staff-respecting consultation process in a university context would therefore include: early sharing of draft proposals; sufficient time for analysis and feedback; publication of equality impact assessments; transparent articulation of how feedback has altered proposals; and clear confirmation that no operational mechanisms will be embedded before consultation concludes. It would also involve sequencing changes rather than layering multiple high-impact frameworks simultaneously.

This is not a utopian model. It is a standard drawn from employment law guidance, sectoral agreements, organisational research and public governance principles.

Good managers often ask why resistance emerges even when policies appear rational on paper. The answer frequently lies not in the content of change but in the manner of its introduction. When consultation is perceived as symbolic rather than substantive, resistance becomes a rational response.

The test of leadership is not whether a policy can be implemented, but whether it can be implemented without corroding the trust on which academic institutions depend. Universities are knowledge organisations. They depend on professional autonomy, intrinsic motivation and discretionary effort. These are not resources that can be mandated.

In the long term, the most efficient change is that which is co-produced. It may take longer to reach agreement, but it produces systems that are more stable, more equitable and more likely to be embedded in practice. Conversely, change accelerated without consent may appear efficient in the short term while generating downstream cost in grievance, turnover and industrial conflict.

Change accelerated without consent may appear efficient in the short term while generating downstream cost in grievance, turnover and industrial conflict.

Managers in higher education today face complex pressures. But complexity does not remove the obligation to lead well. It heightens it.

The question is not whether change will occur. It is whether that change will be conducted in a manner consistent with the principles of partnership, fairness and public accountability that universities themselves espouse.

Good leadership is not demonstrated by how quickly policies are operationalised. It is demonstrated by whether those affected believe they were genuinely heard before decisions were taken.