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Servqual and the Antecedents of Student Loyalty

Servqual and the Antecedents of Student Loyalty

This dissertation examined what makes students loyal to a university, it was actually meant to focus on what makes customers loyal to transport companies but changing job circumstances led to a change in plan! In practical terms, it asked a commercially useful question:

What makes someone not only stay, but advocate, recommend, and remain connected after the formal transaction has finished?

Although the research context was higher education, the underlying problem is familiar to anyone working in product management: users do not become loyal simply because a service exists. Loyalty emerges from the interaction between perceived quality, satisfaction, context, expectations and individual behaviour.

In my current role as a Product Manager working on transport management software, the same logic applies. A haulier, planner or transport office does not become loyal to a system just because it has functionality. They become loyal when the product consistently reduces friction, supports real operational work, and creates confidence that the system will help them succeed.

Research Context

The dissertation was written against the backdrop of increased competition in the UK higher education market. Universities were facing funding pressure, greater student choice and a growing expectation that students should be understood not only as learners, but also as service participants.

The study challenged a simplistic view of loyalty based only on retention. A student may stay with a university because they are genuinely loyal, but they may also stay because switching is difficult, expensive or emotionally costly. That distinction matters.

The research therefore focused on a broader form of loyalty, including:

That is directly relevant to product management. Retention alone can be misleading. A customer may remain on a product because migration is painful, not because the product is loved. Real loyalty is closer to advocacy, renewal confidence and voluntary engagement.

Core Research Question

The central research question was:

What are the antecedents of student loyalty?

The dissertation explored several supporting questions:

Conceptual Model

The dissertation proposed that perceived service quality does not directly create loyalty in a simple linear way. Instead, service quality influences satisfaction, and satisfaction then influences loyalty.

It also proposed that the strength of these relationships changes depending on the student’s context.

flowchart LR
    TPSQ["Teaching Perceived Service Quality"]
    APSQ["Administrative Perceived Service Quality"]
    FPSQ["Facilities Perceived Service Quality"]
    SAT["Student Satisfaction"]
    LOY["Student Loyalty"]

    INV["Student Involvement"]
    PTW["Part-time Work"]
    LP["Loyalty Propensity"]

    TPSQ --> SAT
    APSQ --> SAT
    FPSQ --> SAT
    SAT --> LOY

    INV -. moderates .-> SAT
    PTW -. moderates .-> SAT
    LP -. moderates .-> LOY

Key Concepts

Teaching Perceived Service Quality

Teaching perceived service quality refers to the student’s assessment of the teaching experience. This includes the quality, relevance and delivery of the core academic service.

The dissertation found that teaching quality behaves like a critical factor. Both high and low teaching quality matter. Good teaching improves satisfaction, and poor teaching reduces it.

In product terms, this is the equivalent of the product’s core workflow. If the main job-to-be-done does not work, the customer relationship is damaged. If it works exceptionally well, it can actively create loyalty.

Administrative Perceived Service Quality

Administrative perceived service quality refers to the student’s experience of university administration, such as support processes, communication and administrative reliability.

The research found that administrative service quality behaves more like a dissatisfier. It becomes highly important when it is poor, but good administration does not necessarily create loyalty on its own.

This is very similar to many operational software products. Users may not praise a system because invoicing, planning, permissions or data entry simply work. But if those things fail, they rapidly become the centre of attention.

quadrantChart
    title Service Quality Effects
    x-axis Low Performance --> High Performance
    y-axis Low Impact on Satisfaction --> High Impact on Satisfaction
    quadrant-1 "Delighters"
    quadrant-2 "Critical Factors"
    quadrant-3 "Neutrals"
    quadrant-4 "Dissatisfiers"
    "Teaching Quality": [0.78, 0.82]
    "Administrative Quality": [0.32, 0.72]
    "Facilities Quality": [0.45, 0.38]

Satisfaction

Satisfaction was treated as a mediating variable. In plain English, the dissertation argued that service quality affects loyalty largely because it changes satisfaction.

That is important because it avoids a crude assumption that better service automatically equals loyalty. The emotional and evaluative response of the user still matters.

For product management, this maps well to the distinction between:

A technically capable product can still fail to create loyalty if the user experience creates stress, uncertainty or low trust.

Loyalty Propensity

The dissertation also considered loyalty propensity: the idea that some people are naturally more likely to remain loyal than others.

This is useful because it recognises that not every satisfied user behaves in the same way. Some satisfied customers still switch. Some moderately satisfied customers stay. Behaviour is not purely rational, and loyalty is not purely functional.

Research Design

The dissertation used a quantitative research design based on questionnaire data from UK students at the end of their first year.

The model was developed from the literature and then tested using statistical analysis, including mediation and moderation analysis.

flowchart TD
    A["Literature Review"] --> B["Conceptual Model"]
    B --> C["Questionnaire Design"]
    C --> D["Student Survey Data"]
    D --> E["Reliability Testing"]
    E --> F["Descriptive Statistics"]
    F --> G["Mediation Analysis"]
    F --> H["Moderation Analysis"]
    G --> I["Student Loyalty Model"]
    H --> I
    I --> J["Management Implications"]

Main Findings

The research found that student loyalty is not driven by a single factor. It is created by a system of interacting variables.

The most important findings were:

flowchart LR
    APSQ_LOW["Low Administrative Quality"] --> SAT_DROP["Reduced Satisfaction"]
    TPSQ_LOW["Low Teaching Quality"] --> SAT_DROP
    TPSQ_HIGH["High Teaching Quality"] --> SAT_GAIN["Increased Satisfaction"]

    SAT_DROP --> LOY_LOW["Lower Loyalty"]
    SAT_GAIN --> LOY_HIGH["Higher Loyalty"]

    INV["Involvement"] -. changes strength .-> SAT_DROP
    PTW["Part-time Work"] -. changes strength .-> SAT_DROP
    LP["Loyalty Propensity"] -. changes strength .-> LOY_HIGH

Product Management Relevance

Although the dissertation focused on student loyalty, the model transfers well to B2B software and transport management systems.

The most useful product management lesson is that loyalty is systemic. It is not created by one feature, one release or one good interaction. It is created by the cumulative relationship between:

In a transport management system, the equivalent model might look like this:

flowchart LR
    CORE["Core Workflow Quality<br/>Planning, orders, allocation, invoicing"]
    ADMIN["Administrative Experience<br/>Setup, permissions, data, support"]
    INTEGRATION["Integration Quality<br/>APIs, telematics, finance, WMS"]
    SAT["Customer Satisfaction"]
    LOY["Customer Loyalty"]

    CONTEXT["Operational Pressure<br/>Peak periods, staffing, customer demands"]
    MATURITY["Customer Process Maturity"]
    PROP["Loyalty / Switching Propensity"]

    CORE --> SAT
    ADMIN --> SAT
    INTEGRATION --> SAT
    SAT --> LOY

    CONTEXT -. moderates .-> SAT
    MATURITY -. moderates .-> SAT
    PROP -. moderates .-> LOY

This links directly to my current work. In logistics software, the most visible features are not always the biggest loyalty drivers. Sometimes the strongest loyalty effect comes from reducing friction in the operational background: better data flow, fewer manual workarounds, clearer exception handling and more reliable execution.

A planner does not want software that merely exists. They want software that absorbs operational complexity without adding another layer of chaos. Or, to put it less academically: nobody becomes loyal to a system because it has a lovely button if the load still ends up in the wrong depot.

Why the Research Still Matters

The dissertation remains useful because it separates different types of quality.

Some product features are critical factors. They can create satisfaction when done well and dissatisfaction when done badly. In a TMS, this could include planning, allocation, rating, tracking or invoicing.

Some features are dissatisfiers. Users only notice them when they fail. Administration, permissions, imports, reference data, error handling and reporting often sit in this category.

That distinction is important for prioritisation. Not every feature should be assessed using the same value model.

flowchart TD
    A["Customer Feedback"] --> B{"What type of quality factor is it?"}

    B --> C["Critical Factor"]
    B --> D["Dissatisfier"]
    B --> E["Delighter"]
    B --> F["Neutral"]

    C --> C1["Invest to improve satisfaction and loyalty"]
    D --> D1["Fix to prevent dissatisfaction and churn"]
    E --> E1["Use selectively for differentiation"]
    F --> F1["Avoid over-investment"]

    C1 --> G["Product Roadmap"]
    D1 --> G
    E1 --> G
    F1 --> G

Management Implications

The practical conclusion is that organisations should not treat service quality as a flat list of attributes. Different service elements affect loyalty in different ways.

For universities, this means:

For product organisations, the equivalent implications are:

Reflection

This dissertation sits at the intersection of marketing, service operations and systems thinking. Its most useful idea is that loyalty is not a direct output of quality. It is an emergent property of a wider service system.

That perspective has strongly influenced how I think about product management. Good products are not just collections of features. They are service systems. They include the software, the support model, the implementation process, the customer’s operating context, the commercial model and the confidence users build over time.

In that sense, the dissertation was an early version of the same product principle I apply now:

Find the real drivers of loyalty, separate critical factors from dissatisfiers, and design the system around the user’s lived experience rather than the supplier’s org chart.

Summary

The dissertation concluded that student loyalty is shaped by a combination of teaching quality, administrative quality, satisfaction, involvement, part-time work and loyalty propensity.

The strongest lesson is transferable beyond higher education: loyalty is not created by satisfaction alone, and satisfaction is not created by quality alone. Context matters. Expectations matter. Operational friction matters.

For product management, that is the useful bit. Retention tells you who stayed. Loyalty tells you who would choose you again.