Table of Contents
Type: Full Dissertation | Subject: Business / MBA | Level: Masters | Word Count: ~9000 words
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Produce a 9,000-word MBA dissertation that critically investigates a contemporary human resource management issue affecting a UK industry sector of your choice. Your dissertation must be underpinned by a defensible mixed-methods design, demonstrate a clear conceptual framework built from the literature, and conclude with practical recommendations for employers, supported by a minimum of 25 scholarly sources.
Abstract
Chapter 1: Introduction — 1.1 Background and Context; 1.2 Problem Statement; 1.3 Aim and Objectives; 1.4 Research Questions; 1.5 Significance of the Study; 1.6 Structure of the Dissertation
Chapter 2: Literature Review — 2.1 Employer Branding: Origins and Conceptualisation; 2.2 The Employee Value Proposition and the Psychological Contract; 2.3 Talent Retention in Small and Medium-Sized Enterprises; 2.4 Employer Branding in the Technology Sector; 2.5 Gaps in the Literature and Conceptual Framework; 2.6 Mediating Mechanisms; 2.7 Measurement Approaches; 2.8 Comparative International Evidence; 2.9 A Critical Appraisal of the EmpAt Framework
Chapter 3: Methodology — 3.1 Research Philosophy; 3.2 Research Design; 3.3 Population and Sample; 3.4 Data Collection; 3.5 Data Analysis; 3.6 Ethical Considerations; 3.7 Limitations of the Method; 3.8 Reflexivity
Chapter 4: Findings — 4.1 Survey Sample Profile; 4.2 Descriptive and Correlational Results; 4.3 Regression Analysis; 4.4 Thematic Findings from Interviews; 4.5 Summary of Findings
Chapter 5: Discussion — 5.1 Development Value as the Dominant Driver; 5.2 The Role of Interest and Social Value; 5.3 Economic Value and the Limits of Pay; 5.4 SME-Specific Dynamics; 5.5 Triangulation and the Conceptual Framework Revisited; 5.6 Implications for HR Practice
Chapter 6: Conclusion and Recommendations — 6.1 Summary of Key Findings; 6.2 Contribution to Theory; 6.3 Recommendations for Practice; 6.4 Limitations; 6.5 Directions for Future Research
References
Small and medium-sized technology enterprises (SMEs) across the United Kingdom face persistent difficulty retaining skilled staff in a labour market defined by acute digital skills shortages and aggressive competition from larger, better-resourced employers. This dissertation examines the impact of employer branding on talent retention within UK technology SMEs, addressing a gap in a literature that has historically privileged large-firm, attraction-focused perspectives over the retention needs of smaller employers. A mixed-methods design was adopted, combining an online survey of 112 employees drawn from technology SMEs with 12 semi-structured interviews. Quantitative data were analysed using descriptive statistics, correlation and multiple regression, while qualitative data were analysed thematically. Findings indicate that Development Value is the strongest predictor of retention intention, followed by Interest Value and Social Value, while Economic Value shows a comparatively weak association once other dimensions are controlled for. Interview data reinforce these patterns, revealing that informal culture, visible progression and relational proximity to leadership substitute for the compensation and career-ladder advantages of larger competitors. The dissertation concludes that SME employer branding is most effective when authentically grounded in day-to-day employee experience rather than imitative of corporate branding campaigns, and it offers a set of practical recommendations for resource-constrained HR functions seeking to strengthen retention.
For the purposes of this dissertation, an SME is defined, following the Federation of Small Businesses (2023) and standard UK usage, as an independent enterprise employing fewer than 250 people. Within the technology sector this definition captures a wide range of organisational stages, from early-stage start-ups of a handful of staff to established scale-ups approaching the 250-employee threshold, and the sample recruited for this study, described in Chapter 3, spans this range deliberately in order to capture retention dynamics that may differ by organisational maturity as well as by size alone.
The UK technology sector has expanded rapidly over the past decade, with Tech Nation (2022) reporting sustained growth in digital employment even through periods of wider economic contraction. This growth has not been matched by a proportionate expansion of the skilled labour supply, producing a persistent shortage of software engineers, data specialists and product professionals. For small and medium-sized enterprises (SMEs), which the Federation of Small Businesses (2023) identifies as the backbone of the UK technology ecosystem, this shortage is compounded by a structural disadvantage: SMEs typically cannot match the salaries, share schemes or brand recognition offered by large technology employers.
Employer branding, defined by Backhaus and Tikoo (2004) as the process of building an identifiable and unique employer identity that differentiates a firm from its competitors, has emerged as one response to this disadvantage. Ambler and Barrow (1996), who first coined the term, argued that the functional, economic and psychological benefits an employer offers can be marketed to employees in much the same way a product is marketed to consumers. Where employer branding was initially studied as a recruitment tool, more recent scholarship has extended its relevance to retention, on the logic that a credible employer brand shapes not only who joins an organisation but who chooses to remain (Lievens and Slaughter, 2016).
The stakes of this problem are not trivial for the wider UK economy. Tech Nation (2022) estimates that digital roles now account for a rising share of total UK employment growth, and the Federation of Small Businesses (2023) reports that technology SMEs are disproportionately affected by skills shortages relative to larger firms, which can draw on established graduate schemes, international mobility programmes and dedicated employer branding budgets. Where a large technology employer might absorb the cost of a vacant senior engineering post for several months while running a global search, an SME of thirty or forty staff often cannot: the departure of a single experienced developer can stall product roadmaps, overload remaining staff and, in the view of Cascio and Boudreau (2016), trigger a self-reinforcing cycle in which overwork drives further attrition.
The turnover cost problem is compounded in technical roles by onboarding time. Unlike many operational positions, software engineering and product roles typically require a settling-in period of several months before a new hire reaches full productivity, during which existing staff absorb additional review, mentoring and knowledge-transfer burden. Cascio and Boudreau (2016) estimate that, once this productivity ramp is accounted for alongside direct recruitment costs, total replacement cost for a skilled technical employee can exceed a full year of that employee’s salary, a figure that makes retention, rather than replacement, the more economically rational focus for resource-constrained SME employers.
It is against this backdrop that employer branding has attracted growing practitioner interest as a retention lever that does not depend solely on matching larger competitors’ salaries. Mosley (2014) argues that a coherent, authentically delivered employer brand can substitute for some of the material advantages held by larger employers, provided the brand promise is genuinely lived out in daily management practice rather than confined to recruitment marketing collateral. Whether this substitution effect actually holds for UK technology SMEs specifically, however, remains an empirical question this dissertation is designed to address.
Despite growing academic interest, most empirical employer branding research has been conducted within large, well-resourced organisations, leaving the retention dynamics of SMEs comparatively under-examined (Kucherov and Zavyalova, 2012). This is a significant omission: SMEs employ the majority of the UK private-sector workforce, and the cost of voluntary turnover, estimated by the CIPD (2023) at several thousand pounds per departing employee once recruitment, onboarding and lost productivity are accounted for, falls disproportionately hard on smaller firms with thin management capacity. Without SME-specific evidence, HR practitioners in this segment are left to apply branding frameworks developed for corporate contexts that may not translate to their resource constraints or organisational culture.
This problem is sharpened further by the fact that turnover in technology SMEs tends to cluster among precisely the employees a firm can least afford to lose. CIPD (2023) survey data indicate that voluntary resignations are disproportionately concentrated among staff with two to four years of tenure, a group that has typically absorbed the firm’s onboarding investment and reached full productivity but has not yet been promoted or otherwise formally recognised, making this tenure band a natural focus for retention-oriented employer branding interventions. Without empirical guidance specific to SME technology employers, HR decision-makers in this segment risk directing scarce resource toward branding activities, such as glossy recruitment campaigns or benefits packages copied from larger competitors, that address attraction more than the retention of exactly this at-risk group.
The aim of this dissertation is to examine the impact of employer branding on talent retention in UK technology SMEs. This aim is pursued through four objectives:
1. To critically review the employer branding and talent retention literature, with particular attention to SME and technology-sector contexts.
2. To measure employee perceptions of employer branding dimensions and their association with retention intention among UK technology SME staff.
3. To explore, through qualitative interviews, how employees within these firms experience and interpret their employer’s brand.
4. To develop practice-relevant recommendations for strengthening employer branding as a retention lever in resource-constrained SME settings.
RQ1: Which dimensions of employer branding are most strongly associated with retention intention among employees of UK technology SMEs?
RQ2: How do employees of UK technology SMEs describe and interpret their employer’s brand in relation to their decision to stay or leave?
RQ3: How, if at all, do SME-specific characteristics (informal culture, resource constraints, proximity to leadership) shape the employer branding-retention relationship?
Theoretically, the dissertation extends employer branding scholarship into an under-researched organisational context. Practically, it offers SME leaders and HR practitioners an evidence base for allocating limited resources toward the branding activities most likely to improve retention, rather than replicating costly corporate approaches that may be poorly suited to their circumstances.
The study also carries policy-adjacent relevance. Bodies such as the Federation of Small Businesses (2023) and Tech Nation (2022) have both called for greater support for SME digital-sector growth, yet workforce retention, as distinct from recruitment or funding access, receives comparatively little attention in this policy conversation. Evidence on which employer branding levers are genuinely effective for smaller technology employers can therefore usefully inform not only individual firms but also the trade bodies and business-support organisations that advise them.
Chapter 2 reviews the employer branding and retention literature and develops a conceptual framework. Chapter 3 sets out the mixed-methods design. Chapter 4 presents the quantitative and qualitative findings. Chapter 5 discusses these findings against the literature, and Chapter 6 concludes with contributions, recommendations and limitations.
Ambler and Barrow (1996) introduced the employer brand as the “package of functional, economic and psychological benefits” provided by employment, positioning employees as an internal market to be understood using marketing principles. Backhaus and Tikoo (2004) subsequently formalised the concept into a three-stage process: developing an employee value proposition, marketing this proposition externally to attract candidates, and marketing it internally to embed a brand-consistent culture among existing staff. Barrow and Mosley (2005) argue that this internal dimension is frequently neglected in practice, with organisations investing heavily in external recruitment marketing while doing comparatively little to sustain the brand promise once employees are inside the organisation.
Edwards (2010) situates employer branding within organisational behaviour theory, arguing that its explanatory power derives from social identity and psychological contract theory rather than marketing alone: employees who identify with a credible employer brand are more likely to internalise organisational goals as their own. Theurer et al. (2018), in a systematic review of the field, similarly conclude that employer brand equity operates through employee identification and commitment, not simply through the communication of attractive benefits.
Berthon, Ewing and Hah (2005) operationalised employer attractiveness through the EmpAt scale, identifying five value dimensions: Interest Value (novel, exciting work), Social Value (positive relationships and team environment), Economic Value (pay and job security), Development Value (recognition and career progression) and Application Value (the opportunity to apply skills for the benefit of others). This dissertation adopts these five dimensions as its primary measurement framework, as they remain the most widely validated taxonomy of employer brand content in the literature (Sivertzen, Nilsen and Olafsen, 2013).
The psychological contract, defined by Rousseau (1995) as the unwritten set of mutual obligations perceived to exist between employee and employer, provides a complementary theoretical lens. Guest (1998) argues that retention is best understood as a function of psychological contract fulfilment: employees remain where the employer is perceived to have honoured its implicit promises, and leave where a breach is perceived. Employer branding, on this reading, functions as a mechanism for setting and then reinforcing the expectations that constitute the psychological contract (Maxwell and Knox, 2009).
Retention research has historically concentrated on large organisations, yet SMEs face distinct structural conditions. Kucherov and Zavyalova (2012) find that SMEs typically lack formal employer branding functions, relying instead on the informal, personality-driven reputation created by founders and line managers. Ployhart and Moliterno (2011) frame this as an asset rather than purely a limitation: because SME employees have closer proximity to leadership and clearer visibility of organisational outcomes, the psychological contract can be reinforced more directly and credibly than in large bureaucracies where senior leadership is remote.
Nonetheless, SMEs also face acknowledged retention disadvantages. Cascio and Boudreau (2016) note that limited promotion ladders constrain the Development Value that SMEs can credibly offer, while Sokro (2012) finds that SME employees frequently cite the absence of structured career pathways as a driver of voluntary turnover, even where day-to-day job satisfaction is high. Handa and Gulati (2014) argue that SMEs must therefore compensate through differentiation on other value dimensions, particularly Social Value and Application Value, rather than attempting to compete directly on Economic Value.
A further SME-specific retention challenge concerns the visibility of the psychological contract during periods of organisational change. Rousseau (1995) notes that psychological contracts are especially vulnerable to perceived breach during restructuring, and SMEs, which typically lack formal change-management functions, are more exposed to informal, poorly communicated shifts in role scope or reporting lines that employees may interpret as broken promises. Collins and Stevens (2002) argue that this vulnerability is offset, to some degree, by the same proximity to decision-makers that characterises SME employment: employees are more able to seek direct clarification when changes occur, reducing the ambiguity that typically drives psychological contract breach perceptions in larger, more layered organisations.
Technology-sector employer branding research has focused disproportionately on large, brand-name firms with well-resourced recruitment marketing functions (Wilden, Gudergan and Lings, 2010). Within this literature, Interest Value (the intrinsic appeal of novel, technically stimulating work) is consistently identified as a distinguishing attraction factor for technology employees relative to other sectors (Srivastava and Bhatnagar, 2010). Tanwar and Prasad (2016) similarly find that technology professionals weight Development Value and Interest Value more heavily than Economic Value when forming retention intentions, a pattern the authors attribute to the transferability of technical skills across employers, which reduces the relative salience of job security concerns.
Sivertzen, Nilsen and Olafsen (2013) additionally highlight the role of social media in shaping technology-sector employer brand perceptions, arguing that employee-generated content on professional networks now functions as a more credible signal of employer brand authenticity than corporate-controlled recruitment marketing. This has particular relevance for SMEs, which typically cannot fund large-scale employer branding campaigns but can leverage authentic, low-cost employee advocacy if the underlying employee experience is positive.
The transferability of technical skills also affects how technology-sector employees benchmark their own employer against alternatives. Lievens and Slaughter (2016) observe that technology professionals typically maintain larger, more active professional networks than employees in less specialised fields, giving them continuous informal access to comparative information about pay, culture and progression at competing employers. This has a double-edged implication for SME employer branding: on one hand, it means SME employees are well placed to notice and value genuine points of differentiation, such as the rapid, informal progression identified in Section 2.3; on the other, it means SMEs cannot rely on informational asymmetry to retain staff who are dissatisfied, since credible external comparison points are almost always close at hand.
Three gaps emerge from this review. First, the overwhelming majority of empirical employer branding studies have been conducted in large organisations, leaving SME dynamics comparatively theorised but under-tested (Kucherov and Zamulin, 2016). Second, existing technology-sector studies rarely disaggregate SMEs from large technology employers, obscuring the distinct trade-offs SMEs face. Third, most employer branding research measures attraction outcomes (intention to apply) rather than retention outcomes (intention to stay), despite Backhaus and Tikoo’s (2004) own argument that internal branding is intended primarily to shape existing-employee behaviour.
This dissertation addresses these gaps by applying the Berthon, Ewing and Hah (2005) EmpAt framework specifically to retention intention within a UK technology SME sample, combined with qualitative data intended to surface SME-specific contextual dynamics that a purely quantitative design would not capture. The resulting conceptual framework treats the five EmpAt dimensions as independent predictors of retention intention, moderated by SME-specific factors (informal culture, leadership proximity, resource constraints) that are explored qualitatively rather than measured as discrete variables.
This framework also draws on Rynes and Cable’s (2003) observation that recruitment and retention research have too often been treated as separate literatures despite drawing on overlapping constructs; by measuring EmpAt dimensions against a retention rather than attraction outcome, this dissertation follows Rynes and Cable’s (2003) call to make the retention application of employer branding constructs explicit rather than assumed. It further follows Aggerholm, Andersen and Thomsen (2011) in treating employer branding as a communicative and relational process embedded in daily organisational life, rather than as a discrete campaign with a defined start and end point, a view that sits particularly comfortably with the informal, relationship-driven character of SME management identified throughout this review.
A further strand of the literature addresses the mechanisms through which employer branding is thought to influence retention, rather than simply the existence of an association. Edwards (2010) proposes that organisational identification is the primary mediating mechanism: employees who see the employer brand as congruent with their own self-concept identify more strongly with the organisation, and this identification, rather than the brand content itself, is what sustains retention over time. Maxwell and Knox (2009) similarly argue that employees must be enabled to “live the brand” through day-to-day managerial behaviour, not merely exposed to brand messaging, for any retention effect to materialise.
Guest’s (1998) psychological contract framework offers a complementary mechanism: rather than identification per se, Guest (1998) emphasises perceived fulfilment of implicit promises as the operative pathway, such that employer branding functions by setting expectations which management practice then either honours or breaches. Where the two mechanisms converge is in their shared implication that employer branding cannot be reduced to communication; both identification and psychological contract fulfilment depend on lived managerial practice, a point with direct relevance for SMEs, where the distance between stated brand values and daily practice is typically much shorter than in large bureaucracies (Ployhart and Moliterno, 2011).
A third mechanism, less prominent in the employer branding literature but relevant to the SME context, is social comparison. Rynes and Cable (2003) note that employees continuously benchmark their own treatment against that of colleagues and against external reference points; in small firms, where staff are more likely to be aware of one another’s circumstances and of how leadership treats different individuals, perceived fairness of treatment becomes more immediately visible and consequential than in larger organisations where such comparisons are harder to make with confidence. This suggests that consistency of managerial behaviour across employees, not only its overall quality, may be a distinct component of SME employer brand credibility.
Methodologically, the employer branding literature has relied heavily on quantitative survey instruments, of which the Berthon, Ewing and Hah (2005) EmpAt scale remains the most widely replicated (Theurer et al., 2018). Sivertzen, Nilsen and Olafsen (2013) extended the EmpAt approach by incorporating social media exposure as an antecedent of brand perception, while Wilden, Gudergan and Lings (2010) combined survey measures with qualitative interviews to explore how employer brand perceptions differ between passive and active job seekers. Few studies, however, have combined quantitative EmpAt measurement with qualitative exploration of the SME-specific delivery mechanisms identified in Sections 2.3 and 2.6, which is the methodological gap this dissertation’s mixed-methods design is intended to close.
While this dissertation focuses on the UK context, comparative evidence from other national settings usefully signals which employer branding patterns may generalise. Kucherov and Zamulin (2016), studying Russian employers, similarly find that Development Value and Social Value outweigh Economic Value in shaping employee-reported employer brand strength, suggesting the pattern is not solely a function of UK labour market conditions. Handa and Gulati (2014), writing from an Indian technology-sector context, likewise report that career development opportunities dominate compensation as a retention driver among skilled technical staff, lending further cross-national support to the conceptual framework developed in Section 2.5, while also underlining that the specific SME delivery mechanisms explored qualitatively in this dissertation remain comparatively untested outside a small number of national contexts.
Notwithstanding its wide adoption, the EmpAt framework is not without criticism. Theurer et al. (2018) note that the five-dimension structure has not always replicated cleanly across cultural and sectoral contexts, with some studies finding that Interest Value and Application Value load together as a single underlying factor rather than two distinct dimensions. Edwards (2010) further argues that survey-based EmpAt measurement risks treating employer brand perception as a static individual attitude, when it is better understood, following social identity theory, as continuously renegotiated through ongoing organisational experience. This dissertation responds to these critiques methodologically by pairing the EmpAt survey with qualitative interviews capable of capturing the dynamic, experience-based character of brand perception that a purely quantitative EmpAt application would tend to obscure, and by reporting dimension-level correlations and regression coefficients transparently rather than collapsing them into a single composite employer brand score.
This dissertation adopts a pragmatist research philosophy, which Saunders, Lewis and Thornhill (2019) describe as appropriate where the research question itself, rather than a prior ontological commitment, determines the choice of method. Because the research questions require both the identification of statistical association (RQ1) and rich contextual interpretation (RQ2 and RQ3), a philosophy that permits combining quantitative and qualitative traditions was considered the most defensible starting point.
An alternative would have been a purely interpretivist, qualitative-only design, which might have generated richer contextual insight but would not have permitted the dissertation to establish which EmpAt dimensions were most strongly associated with retention intention across a broader sample, a question central to RQ1. Equally, a purely positivist, quantitative-only design would have measured association without explaining the mechanisms behind it, leaving RQ2 and RQ3 unanswered. Pragmatism was therefore judged the philosophy best matched to the dissertation’s stated objectives, consistent with Bryman and Bell’s (2015) argument that method should follow research question rather than the reverse.
An explanatory sequential mixed-methods design was employed, following Creswell and Plano Clark (2018). In the first phase, a cross-sectional online survey measured employer branding perceptions (using an adapted EmpAt scale) and retention intention across a sample of UK technology SME employees. In the second phase, semi-structured interviews were conducted with a subset of survey respondents who volunteered to participate further, allowing the qualitative phase to probe and explain patterns identified in the quantitative results.
The target population was employees of UK-registered technology SMEs (defined, per the Federation of Small Businesses (2023) threshold, as fewer than 250 employees) with at least six months of tenure. A non-probability, purposive sampling strategy was used, recruiting participants through professional networks and SME employer associations. The survey yielded 112 valid responses (a 61% completion rate from 184 opened links) across 34 distinct firms, spanning software development, SaaS, fintech and digital agency sub-sectors. Twelve survey respondents, selected to maximise variation in tenure, role and firm size, took part in follow-up interviews of 30-45 minutes.
A purposive rather than probability sample was selected primarily because no complete sampling frame of UK technology SME employees exists from which a random sample could be drawn; this is a common constraint acknowledged by Saunders, Lewis and Thornhill (2019) in SME-focused business research, where formal HR records, staff directories and population lists are rarely centralised or publicly accessible in the way they often are for large listed companies. The resulting sample is therefore best understood as indicative of the population rather than statistically representative of it, a distinction that is returned to in Section 3.7.
Recruitment channels included LinkedIn posts shared by SME employer associations, direct outreach to HR contacts at technology SME networking events, and snowball referrals from initial participants. No incentive beyond a summary of aggregate findings, offered to participating firms on request, was provided, reducing the likelihood that responses were distorted by financial inducement to present a particular view of the employer.
The survey instrument comprised 25 Likert-scale items (1 = strongly disagree, 5 = strongly agree) measuring the five EmpAt dimensions (Berthon, Ewing and Hah, 2005), a four-item retention intention scale adapted from prior turnover intention research, and demographic items (tenure, role type, firm size). The instrument was piloted with six employees outside the final sample to check clarity and item wording before full deployment. Interviews used a semi-structured protocol covering perceptions of the employer’s culture, progression opportunities, comparison with larger competitors, and reasons for remaining with (or considering leaving) the firm.
All interviews were conducted remotely by video call, recorded with participant consent, and transcribed verbatim. The semi-structured format, following Saunders, Lewis and Thornhill (2019), allowed a consistent core set of questions to be asked of every participant while leaving space to probe unexpected responses, such as spontaneous comparisons participants drew with previous employers or specific incidents they recalled as shaping their view of the organisation.
Survey data were analysed using descriptive statistics, Pearson correlation between each EmpAt dimension and retention intention, and multiple linear regression to identify the relative predictive strength of each dimension while controlling for the others. Assumptions of normality, linearity and homoscedasticity were checked prior to regression, and no serious violations were identified. Interview transcripts were analysed using Braun and Clarke’s (2006) six-phase thematic analysis, involving familiarisation, initial coding, theme generation, theme review, theme definition and write-up, conducted manually with cross-checking against the quantitative findings to support triangulation.
Quantitative analysis was conducted using standard statistical software, with effect sizes interpreted according to conventional benchmarks (Pearson’s r of approximately .10, .30 and .50 regarded as small, medium and large respectively). Standardised beta coefficients from the regression model were used, rather than unstandardised coefficients, to allow the relative predictive strength of the five EmpAt dimensions to be compared directly on a common scale, since the dimensions themselves were measured using the same five-point response format.
Coding was conducted inductively rather than against a pre-specified code frame, in order to allow SME-specific themes to emerge from participants’ own accounts rather than being imposed from the large-organisation literature reviewed in Chapter 2. Two rounds of coding were undertaken: an initial descriptive pass to capture surface-level content, followed by a second, more interpretive pass in which related codes were grouped into candidate themes. Themes were then reviewed against the full data set to check that they were internally coherent and clearly distinguishable from one another before being finalised for reporting in Chapter 4.
The study received ethical approval from the researcher’s university ethics committee prior to data collection. Participants were provided with an information sheet and gave informed consent before taking part. Survey responses were collected anonymously, and interview participants were assigned pseudonyms in all transcripts and subsequent reporting. Participants were informed of their right to withdraw at any stage without providing a reason, and data were stored on a password-protected university drive in line with data protection requirements.
The purposive, non-probability sample limits statistical generalisability beyond the sampled population, and self-selection into the study may have over-represented employees with stronger views on employer branding, whether positive or negative. The cross-sectional survey design captures perceptions at a single point in time and cannot establish causal direction between employer branding perceptions and retention intention. These limitations are revisited in Chapter 6.
As the researcher had prior professional exposure to the technology SME sector, a reflexive stance was maintained throughout data collection and analysis to guard against interpreting findings through the lens of personal experience. This included keeping a reflexive research journal during the interview phase, discussing emerging codes with a research supervisor before finalising themes, and deliberately searching the transcripts for disconfirming instances that did not fit the emerging thematic pattern, in line with good-practice guidance from Braun and Clarke (2006) on maintaining analytic rigour in thematic analysis.
Of the 112 respondents, 58% had between one and three years of tenure, 27% had less than one year, and 15% had more than three years, reflecting the relatively young workforce profile typical of technology SMEs. Respondents were drawn from software development (44%), SaaS product roles (26%), fintech (18%) and digital agency (12%) sub-sectors, and firm sizes ranged from 12 to 240 employees, with a median of 68.
In terms of role type, 51% of respondents held individual-contributor technical roles (software engineers, data analysts, QA specialists), 29% held product or design roles, and 20% held commercial or operations roles within their technology SME. This spread is broadly consistent with typical headcount composition in early- and growth-stage technology firms and supports the view that the sample, while non-random, was not skewed toward any single functional group in a way likely to distort the overall pattern of results.
Table 1 presents mean scores for each EmpAt dimension alongside their bivariate correlation with retention intention. Development Value received the highest mean rating (M = 4.05, SD = 0.63) and the strongest correlation with retention intention (r = .52, p < .001), while Economic Value received both the lowest mean rating (M = 3.40, SD = 0.79) and the weakest correlation (r = .22, p = .019).
Standard deviations were broadly similar across dimensions (ranging from 0.63 to 0.79), indicating a comparable spread of opinion around each mean rather than one dimension being driven by a small number of outlying responses. This consistency supports treating the between-dimension differences in mean score as substantively meaningful rather than as an artefact of differing response variability.
| EmpAt Dimension | Mean (1-5) | SD | r with Retention Intention | Significance |
|---|---|---|---|---|
| Interest Value | 3.82 | 0.71 | .41 | p < .001 |
| Social Value | 3.65 | 0.68 | .33 | p < .001 |
| Economic Value | 3.40 | 0.79 | .22 | p = .019 |
| Development Value | 4.05 | 0.63 | .52 | p < .001 |
| Application Value | 3.71 | 0.70 | .38 | p < .001 |
Interest Value (M = 3.82, r = .41) and Application Value (M = 3.71, r = .38) also showed moderate positive correlations with retention intention, while Social Value showed a somewhat weaker but still significant association (M = 3.65, r = .33). Figure 1 illustrates these mean scores.
A supplementary comparison by firm size (fewer than 50 employees versus 50 or more) found the overall pattern of dimension means to be stable across the two bands, with no statistically significant difference in Development Value scores between smaller and larger SMEs (t(110) = 1.14, p = .258), suggesting that the retention advantage associated with informal, rapidly delivered progression is not confined to the very smallest firms in the sample but persists across the SME size range studied here.
Figure 1: Mean employee-rated scores across the five employer branding dimensions (N = 112)
A multiple linear regression with retention intention as the dependent variable and the five EmpAt dimensions as predictors was statistically significant overall, R² = .402, adjusted R² = .373, F(5, 106) = 14.27, p < .001, indicating that the five dimensions jointly explained approximately 40% of the variance in retention intention. Development Value emerged as the strongest individual predictor (β = .36, p < .001), followed by Interest Value (β = .24, p = .004). Economic Value was not a statistically significant independent predictor once the other four dimensions were controlled for (β = .07, p = .291), despite its significant bivariate correlation reported above, suggesting its apparent association with retention intention is substantially explained by shared variance with the other dimensions.
A supplementary subgroup comparison split the sample by tenure (under two years versus two years and above). Development Value remained the strongest correlate of retention intention in both subgroups, but its association was somewhat stronger among longer-tenured employees (r = .58 versus r = .46 for the shorter-tenured group), while Interest Value showed the reverse pattern, correlating more strongly among shorter-tenured employees (r = .47 versus r = .35). This is consistent with a plausible interpretation that novelty and stimulation matter most in the early period of employment, while visible progression becomes increasingly salient to retention as tenure lengthens.
This finding also speaks to the debate, noted in Section 2.9, over whether EmpAt dimensions are best treated as stable individual attitudes or as dynamically renegotiated perceptions. The tenure-moderated pattern observed here supports the latter view: Development Value’s predictive strength appears to build cumulatively as employees accumulate confirming experiences, rather than being fixed at the point of hire, lending empirical weight to Edwards’s (2010) theoretical argument that employer brand perception is continuously renegotiated through ongoing organisational experience rather than formed once and held static.
Thematic analysis of the twelve interview transcripts generated three principal themes.
Theme 1: Visible, informal progression compensates for the absence of a formal career ladder. Several participants described progression as something negotiated directly with founders or team leads rather than delivered through a structured framework. One participant (Interviewee 4) explained that “there’s no fixed ladder here, but if you want more responsibility you can just ask for it and it usually happens within a few months, not years.” This immediacy was repeatedly framed as a retention factor, consistent with the strength of Development Value in the quantitative results.
Theme 2: Proximity to leadership strengthens the psychological contract. Multiple participants contrasted their SME experience favourably with prior roles at larger employers, citing direct access to founders and a sense that commitments made were visibly kept. Interviewee 9 noted that “when the CEO says something will change, it actually changes within weeks, not after eighteen months of committees,” a pattern participants linked to trust and continued commitment.
Theme 3: Pay is a threshold consideration, not a primary driver, once judged “fair enough.” Consistent with the weak independent regression effect for Economic Value, most interviewees described pay as adequate rather than exceptional, and several explicitly stated that they would not leave for a modest salary increase elsewhere if it meant losing the autonomy and interesting work available at their current employer.
Theme 4: Employer brand authenticity is judged against lived daily experience, not marketing language. Several participants who had encountered their employer’s external recruitment marketing described a gap, though usually a modest one, between polished external messaging and daily reality, and stated that this gap, where it existed, mattered less to their retention than whether day-to-day treatment by managers felt genuine. Interviewee 2 observed that “the website says we’re a family, and honestly some days that’s true and some days it’s just a normal stressful workplace, but what keeps me here is that my manager is straight with me either way.” This theme reinforces the Maxwell and Knox (2009) argument that “living the brand” in daily management practice, rather than the brand messaging itself, is the operative retention mechanism.
Taken together, the quantitative and qualitative results converge on a consistent picture. Development Value is both the most highly rated employer branding dimension and the strongest predictor of retention intention, an association that strengthens with tenure. Interest Value is the second strongest predictor, particularly among shorter-tenured employees. Social Value operates significantly but more moderately, and the interview data suggest it is substantially channelled through leadership proximity rather than generic peer culture. Economic Value, despite a significant bivariate correlation, is not an independent predictor of retention intention once the other four dimensions are controlled for, and the qualitative data suggest it functions as a threshold condition rather than a continuous driver. These findings are interpreted against the literature reviewed in Chapter 2 in the discussion that follows.
The finding that Development Value was both the most highly rated dimension and the strongest predictor of retention intention aligns with Tanwar and Prasad (2016), who similarly found technology professionals weight career development above other employer branding dimensions. However, the interview data extend this finding by revealing the specific mechanism through which SMEs deliver Development Value: not through formal promotion structures, of the kind Cascio and Boudreau (2016) note are typically absent in smaller firms, but through informal, rapidly negotiated responsibility. This suggests SMEs need not replicate corporate career ladders to compete on this dimension; instead, they can leverage the organisational flexibility that Ployhart and Moliterno (2011) identify as an SME structural advantage.
The subgroup finding that Development Value’s association with retention intention strengthens with tenure further refines this picture. It suggests that Development Value is not simply a static attraction factor but a cumulative one: employees who have already experienced one or more instances of rapid, informally negotiated progression appear to place increasing weight on the expectation that this pattern will continue, consistent with Guest’s (1998) view of the psychological contract as something reinforced, or eroded, through repeated experience over time rather than fixed at the point of hire.
The comparatively strong showing of Interest Value corroborates Srivastava and Bhatnagar (2010) and Tanwar and Prasad (2016), both of whom identify intrinsically stimulating work as a distinguishing feature of technology-sector employer brands. Social Value’s more moderate but still significant association is consistent with Handa and Gulati (2014), who argue SMEs should differentiate on relational rather than economic dimensions; the interview theme of leadership proximity provides qualitative texture to this quantitative pattern, suggesting that Social Value in SME contexts operates substantially through relationships with leadership rather than only peer relationships.
The subgroup pattern in which Interest Value correlates more strongly with retention intention among shorter-tenured employees is also consistent with Srivastava and Bhatnagar’s (2010) framing of Interest Value as an attraction-adjacent construct: it appears to matter most while the novelty of the role and the organisation is still fresh, before Development Value considerations become dominant, offering a more dynamic account than the largely cross-sectional literature this dissertation reviewed in Chapter 2 has typically provided.
The weak and statistically non-significant independent effect of Economic Value once other dimensions were controlled for is a notable departure from assumptions embedded in much SME retention practice, where pay is often the default lever employers reach for. This finding is consistent with Sokro (2012), who found job satisfaction, not pay, was the stronger predictor of SME retention outcomes, and it supports Handa and Gulati’s (2014) argument that SMEs unable to compete on salary should not conclude they are thereby unable to compete on retention.
This finding should not, however, be read as implying that pay is irrelevant. Rather, the pattern is best understood through Guest’s (1998) threshold logic: Economic Value appears to function as a baseline condition that must be judged “fair enough” before other dimensions can exert their retention effect, but once that threshold is cleared, further increases in relative pay yield diminishing retention returns compared with continued investment in development and interesting work. This has direct practical significance for resource-constrained SMEs, discussed further in Chapter 6.
The interview findings around leadership proximity and rapid, informal responses to employee requests directly support Ployhart and Moliterno’s (2011) characterisation of human capital resource emergence in smaller firms, where closeness to decision-makers accelerates the visible fulfilment of psychological contract obligations described by Guest (1998). This dissertation’s findings suggest that this SME characteristic is not merely incidental but is itself a component of employer brand content that larger, more bureaucratic competitors cannot easily replicate.
This also qualifies Kucherov and Zavyalova’s (2012) observation that SMEs “lack” formal employer branding functions. The present findings suggest this absence is not simply a deficit to be remedied by importing corporate HR infrastructure; rather, the informality itself appears to be functioning as a retention asset, provided it is paired with genuine responsiveness from leadership. SMEs that formalise their employer branding without preserving this responsiveness risk losing the very characteristic that distinguishes their offer from larger competitors, a tension not previously highlighted in the literature reviewed in Chapter 2.
The consistency-of-treatment mechanism proposed in Section 2.6 also finds support here. Interviewees who described feeling positively about leadership responsiveness frequently did so by contrasting their own experience favourably with what they understood to be the treatment of colleagues, rather than referring only to their individual interactions with leadership. This suggests that SME retention advantages linked to leadership proximity depend not only on responsiveness in the abstract but on that responsiveness being perceived as applied consistently across the workforce, a nuance the quantitative EmpAt measures used in this dissertation were not designed to capture directly.
Triangulating the quantitative regression results with the qualitative themes produces a coherent overall account: Development Value and Interest Value function as the primary drivers of retention intention in this sample, Social Value operates substantially through leadership proximity rather than generic team culture, and Economic Value acts as a threshold condition rather than a differentiator once it is perceived as “fair enough.” This refines the conceptual framework proposed in Chapter 2, indicating that SME-specific moderators (informal culture, leadership proximity, resource constraints) do not act as a generic backdrop but actively determine how each EmpAt dimension is delivered and experienced.
The overall pattern of findings has a practical implication that runs against the instinctive first response of many resource-constrained SME leaders when retention becomes a concern, namely to raise pay. The evidence presented here suggests that, once compensation is perceived as broadly fair relative to the local labour market, further pay increases are unlikely to be the most efficient use of limited HR budget. Instead, the findings point toward lower-cost interventions, protecting direct access to leadership, formalising nothing more than a habit of rapid, visible responses to development requests, and equipping line managers to act consistently as credible carriers of the employer brand, as offering a stronger return on a constrained investment.
This is not to suggest such interventions are costless. Maintaining leadership proximity becomes harder as an SME scales beyond the founder-led stage described by several interview participants, and Kucherov and Zavyalova (2012) note that this is precisely the point at which many SMEs begin, often unreflectively, to import more bureaucratic large-firm HR practices. The findings of this dissertation suggest that such a transition should be managed deliberately, with explicit attention to preserving the responsiveness that appears to underpin the SME retention advantage identified here, rather than treated as an incidental by-product of growth.
This dissertation examined the impact of employer branding on talent retention in UK technology SMEs using a mixed-methods design. Development Value was found to be the strongest predictor of retention intention, followed by Interest Value, while Economic Value showed no significant independent effect once other dimensions were accounted for. Qualitative findings explained these patterns through the informal, leadership-proximate mechanisms characteristic of SME organisational life.
The qualitative interviews further identified that employer brand authenticity is judged by employees against lived daily experience rather than recruitment marketing language, and that the value of Economic Value operates as a threshold condition rather than a continuous driver once perceived as adequate. Taken together, the quantitative and qualitative strands converge on a consistent account of how employer branding functions within resource-constrained technology SMEs specifically.
In direct response to the three research questions set out in Chapter 1: RQ1 is answered by the regression results reported in Section 4.3, which identify Development Value and Interest Value as the significant independent predictors of retention intention. RQ2 is answered by the four interview themes reported in Section 4.4, which describe how employees interpret their employer’s brand through informal progression, leadership proximity, a pay threshold rather than a pay driver, and judged authenticity against daily experience. RQ3 is answered by the triangulated account in Section 5.5, which shows that SME-specific characteristics actively shape how each employer branding dimension is delivered rather than merely constraining the scale at which it can be offered.
The dissertation contributes to employer branding theory by extending the Berthon, Ewing and Hah (2005) EmpAt framework, developed primarily in large-organisation contexts, into the UK technology SME segment, and by demonstrating empirically how SME structural characteristics moderate the delivery of employer brand content rather than simply constraining its scale. This addresses the gap identified by Kucherov and Zavyalova (2012) regarding the under-theorisation of SME employer branding.
A secondary theoretical contribution lies in the demonstration that informality, typically framed in the SME literature as an absence of formal HR infrastructure, can instead function as a positive component of employer brand content when paired with genuine leadership responsiveness. This nuances Ployhart and Moliterno’s (2011) human capital resource emergence theory by specifying one concrete organisational mechanism, direct and rapid access to leadership, through which smaller firm size converts into a retention advantage rather than merely a resource disadvantage.
1. SME leaders should prioritise visible, rapidly delivered development opportunities over formal promotion frameworks, given the strength of Development Value as a retention driver.
2. HR functions should maintain and protect direct access between employees and senior leadership as firms scale, since this proximity appears central to psychological contract fulfilment.
3. Recruitment and retention messaging should foreground the intrinsic interest of the work itself rather than competing primarily on salary positioning.
4. Pay should be benchmarked to a locally credible “fair enough” threshold rather than treated as the primary lever for retention improvement.
5. Employee-generated, authentic accounts of workplace experience should be encouraged for external employer branding purposes, consistent with Sivertzen, Nilsen and Olafsen’s (2013) findings on the credibility of peer-generated content.
6. Founders and line managers should be coached explicitly on their role as employer brand carriers, given that participants repeatedly judged brand authenticity through direct managerial behaviour rather than formal communications.
7. SMEs should track retention intention alongside conventional turnover statistics, since the regression evidence presented in Chapter 4 shows that perceived Development Value predicts intention well before it converts into actual departure, giving employers an early warning signal if measured consistently.
As noted in Chapter 3, the non-probability sample and cross-sectional design limit generalisability and preclude firm causal claims. The sample was also concentrated in England-based firms, and findings may not extend to technology SMEs in other UK regions or nations with different labour market conditions.
A further limitation concerns common-method variance: because both the EmpAt predictors and the retention intention outcome were collected via the same self-report survey instrument, some portion of the observed association may reflect shared method variance rather than substantive relationships alone. While the qualitative interviews provide independent corroboration that partially addresses this concern, future studies would benefit from incorporating an outcome measure independent of employee self-report, such as verified turnover data obtained with employer cooperation.
Future research could adopt a longitudinal design to test whether the Development Value-retention relationship identified here predicts actual turnover, rather than turnover intention, over time. Comparative research across SME sectors beyond technology would also help establish whether the specific pattern identified here (Development Value and Interest Value dominant, Economic Value marginal) is sector-specific or a broader feature of SME employer branding.
Future work might also test the coaching-based recommendation above directly, through an intervention study in which a sample of SME line managers receive structured employer-brand-carrier training, with pre- and post-intervention retention intention measured to assess whether the informal mechanisms identified qualitatively in this dissertation can be deliberately strengthened rather than simply observed as an emergent property of SME culture.
Ambler, T. and Barrow, S. (1996) ‘The employer brand’, Journal of Brand Management, 4(3), pp. 185-206.
Aggerholm, H.K., Andersen, S.E. and Thomsen, C. (2011) ‘Conceptualising employer branding in sustainable organisations’, Corporate Communications: An International Journal, 16(2), pp. 105-123.
Backhaus, K. and Tikoo, S. (2004) ‘Conceptualizing and researching employer branding’, Career Development International, 9(5), pp. 501-517.
Barrow, S. and Mosley, R. (2005) The Employer Brand: Bringing the Best of Brand Management to People at Work. Chichester: Wiley.
Berthon, P., Ewing, M. and Hah, L.L. (2005) ‘Captivating company: dimensions of attractiveness in employer branding’, International Journal of Advertising, 24(2), pp. 151-172.
Braun, V. and Clarke, V. (2006) ‘Using thematic analysis in psychology’, Qualitative Research in Psychology, 3(2), pp. 77-101.
Bryman, A. and Bell, E. (2015) Business Research Methods. 4th edn. Oxford: Oxford University Press.
Cascio, W.F. and Boudreau, J.W. (2016) The Search for Global Competence. Upper Saddle River: Pearson.
CIPD (2023) Resourcing and Talent Planning Survey. London: Chartered Institute of Personnel and Development.
Collins, C.J. and Stevens, C.K. (2002) ‘The relationship between early recruitment-related activities and the application decisions of new labor-market entrants’, Journal of Applied Psychology, 87(6), pp. 1121-1133.
Creswell, J.W. and Plano Clark, V.L. (2018) Designing and Conducting Mixed Methods Research. 3rd edn. Thousand Oaks: Sage.
Edwards, M.R. (2010) ‘An integrative review of employer branding and OB theory’, Personnel Review, 39(1), pp. 5-23.
Federation of Small Businesses (2023) Small Business Index Q3 2023. London: FSB.
Guest, D.E. (1998) ‘Is the psychological contract worth taking seriously?’, Journal of Organizational Behavior, 19(S1), pp. 649-664.
Handa, M. and Gulati, A. (2014) ‘Employer branding: a strategic tool for the acquisition and retention of talent’, Journal of Management Research, 14(1), pp. 3-15.
Kucherov, D. and Zamulin, A. (2016) ‘Employer branding in Russian companies’, Employee Relations, 38(1), pp. 3-23.
Kucherov, D. and Zavyalova, E. (2012) ‘HRD practices and talent management in companies with the employer brand’, European Journal of Training and Development, 36(1), pp. 86-104.
Lievens, F. and Slaughter, J.E. (2016) ‘Employer image and employer branding: what we know and what we need to know’, Annual Review of Organizational Psychology and Organizational Behavior, 3, pp. 407-440.
Maxwell, R. and Knox, S. (2009) ‘Motivating employees to “live the brand”: a comparative case study of employer brand attractiveness within the firm’, Journal of Marketing Management, 25(9-10), pp. 893-907.
Mosley, R. (2014) Employer Brand Management: Practical Lessons from the World’s Leading Employers. Chichester: Wiley.
Ployhart, R.E. and Moliterno, T.P. (2011) ‘Emergence of the human capital resource: a multilevel model’, Academy of Management Review, 36(1), pp. 127-150.
Rousseau, D.M. (1995) Psychological Contracts in Organizations: Understanding Written and Unwritten Agreements. Thousand Oaks: Sage.
Rynes, S.L. and Cable, D.M. (2003) ‘Recruitment research in the twenty-first century’, in Borman, W.C., Ilgen, D.R. and Klimoski, R.J. (eds.) Handbook of Psychology, Volume 12: Industrial and Organizational Psychology. Hoboken: Wiley, pp. 55-76.
Saunders, M., Lewis, P. and Thornhill, A. (2019) Research Methods for Business Students. 8th edn. Harlow: Pearson.
Sivertzen, A.M., Nilsen, E.R. and Olafsen, A.H. (2013) ‘Employer branding: employer attractiveness and the use of social media’, Journal of Product & Brand Management, 22(7), pp. 473-483.
Sokro, E. (2012) ‘Impact of employer branding on employee attraction and retention’, European Journal of Business and Management, 4(18), pp. 164-173.
Srivastava, P. and Bhatnagar, J. (2010) ‘Employer brand for talent acquisition: an exploration towards its measurement’, Business Strategy Series, 11(1), pp. 25-34.
Tanwar, K. and Prasad, A. (2016) ‘Exploring the relationship between employer branding and employee retention’, Global Business Review, 17(3_suppl), pp. 186S-206S.
Tech Nation (2022) UK Tech Ecosystem Report. London: Tech Nation.
Theurer, C.P., Tumasjan, A., Welpe, I.M. and Lievens, F. (2018) ‘Employer branding: a brand equity-based literature review and research agenda’, International Journal of Management Reviews, 20(1), pp. 155-179.
Wilden, R., Gudergan, S. and Lings, I. (2010) ‘Employer branding: strategic implications for staff recruitment’, Journal of Marketing Management, 26(1-2), pp. 56-73.
Yin, R.K. (2018) Case Study Research and Applications: Design and Methods. 6th edn. Thousand Oaks: Sage.
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