The foregoing review identifies a clear research gap: while the SHRM–performance relationship is well established in large Western firms, evidence from employees’ perspectives within Saudi Arabian SMEs is sparse. Existing Saudi studies tend to focus on managerial perceptions (Al-Ayed 2019) or large organisations (Abdalkrim 2012; Cherif 2020), leaving the employee experience of SHRM in SMEs largely unexamined.

Building on the theoretical frameworks and empirical evidence reviewed above, this study proposes the following hypotheses:

This study adopted a cross-sectional quantitative survey design to examine the relationships between SHRM practices and organisational performance outcomes in Saudi Arabian SMEs. The quantitative approach was selected because it enables systematic measurement of employee perceptions across a diverse sample and supports hypothesis testing through inferential statistics (Anwar & Abdullah 2021; Combs et al. 2006).

The questionnaire was organised into five sections: Section 1 collected demographic data (age, gender, education, tenure, industry). Section 2 measured SHRM practices using items adapted from Al-Tit et al. (2022), covering talent management, performance management, and compensation and work–life balance, constructs that have been validated across multiple SHRM studies (Otoo 2019; Wright & McMahan 2011). Section 3 assessed employee perceptions of SHRM effectiveness, fairness, and transparency. Section 4 measured job satisfaction using the Job Satisfaction Survey (JSS) (Spector 1985), a widely validated 36-item instrument used in HRM research globally (Javed et al. 2019; Mira et al. 2019), and work engagement using the Utrecht Work Engagement Scale (UWES) (Schaufeli et al. 2002), a 17-item instrument with established reliability and construct validity. Section 5 assessed perceived organisational performance (productivity, innovation, financial health).

All items were measured on a five-point Likert scale (1 = Strongly Disagree; 5 = Strongly Agree). The instrument was pilot tested with 30 employees across three SMEs; Cronbach’s alpha values exceeded 0.70 for all scales prior to full deployment.

A stratified random sampling strategy was used to ensure the sample captured variation across industry sectors, firm sizes, and geographic locations (Riyadh, Jeddah, and Dammam, the three principal commercial centres of Saudi Arabia). The target sample of 300 completed responses was determined based on the requirements of structural equation modelling (SEM) and regression analysis, in line with precedent in SHRM survey research (Amjad et al. 2021; Combs et al. 2006).

Questionnaires were distributed electronically via email and survey platforms. Paper-based alternatives were provided where digital access was limited. Anonymity was assured to encourage candid responses. A total of 300 usable responses were collected.

Given that predictor and outcome variables were collected from the same respondents at the same point in time, common method bias (CMB) is a potential concern (Podsakoff et al. 2003). Several procedural steps were taken to reduce this risk: responses were anonymous, predictor and outcome items were separated within the questionnaire, and scale items were interspersed to discourage patterned responding. As a post-hoc statistical check, Harman’s single-factor test was also applied to assess the extent of common method variance in the data.

Data were analysed using the Statistical Package for the Social Sciences (SPSS) version 31 (IBM Corp., Armonk, NY, US). SmartPLS 4.0 (SmartPLS GmbH, Monheim am Rhein, Germany). Descriptive statistics and reliability analysis (Cronbach’s alpha) were computed first. Pearson correlation and chi-square tests were used to examine bivariate relationships. Multiple regression analysis assessed the predictive contribution of SHRM practices on job satisfaction, performance, and turnover while controlling for demographic covariates. Structural equation modelling was employed to test the full hypothesised model simultaneously, reporting standard fit indices: Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardised Root Mean Square Residual (SRMR) (Hu & Bentler 1999).

Ethical clearance to conduct this study was obtained from the Management and Science University (No. MSU-RMC-02/FR01). All participants provided informed consent prior to participation and were free to withdraw at any time. Responses were anonymous, and no sensitive personal data were collected. Participant confidentiality was maintained throughout data storage and reporting.

The first hypothesis proposed that SHRM practices would be positively associated with employee performance. The Pearson correlation between SHRM practices (aggregate score) and employee performance was r = 0.752 (p < 0.001), which provides strong support for H1. Reliability analysis for the SHRM practices scales yielded Cronbach’s α = 0.82, indicating good internal consistency. Item-level statistics are reported in Table 1.

The second hypothesis examined the relationship between SHRM practices and employee job satisfaction. Strategic human resource management practices fostering work–life balance showed a significant positive correlation with job satisfaction (r = 0.624, p < 0.01), supporting H2. Clear communication and transparency regarding SHRM initiatives also correlated significantly with organisational success (r = 0.597, p < 0.01). Item statistics are presented in Table 2 and Table 3.

The third hypothesis proposed a positive relationship between talent management practices and broader organisational performance. Chi-square analysis revealed a significant relationship between talent management practices and talent nurturing outcomes (Pearson χ² = 53.844, df = 16, p < 0.001). Pearson correlation confirmed that talent management practices correlated positively with organisational performance (r = 0.495, p < 0.01), supporting H3. Chi-square results are presented in Table 4.

The fourth hypothesis concerned performance management practices and their association with organisational success. Performance management practices correlated positively with employee relations (Pearson χ² = 71.105, df = 16, p < 0.001) and with perceived organisational success (r = 0.493, p < 0.01), supporting H4. The comprehensive Pearson correlation matrix for all key variables is presented in Table 5.

The fifth hypothesis examined whether compensation and work–life balance practices were linked to lower turnover. Compensation and benefits showed a significant correlation with turnover intention (r = 0.599, p < 0.001), and work–life balance practices correlated negatively with turnover rate (r = 0.334, p < 0.001), providing partial support for H5. However, the direct linear correlation between compensation satisfaction and turnover was not significant (p = 0.918), suggesting that the relationship between compensation and retention in this context is more complex than a direct linear effect, a finding interpreted in the Discussion section.

Structural equation modelling was conducted to test the full hypothesised model simultaneously. Structural equation modelling analysis confirmed the overall structural relationships between SHRM practices and performance outcomes, consistent with the Pearson correlation and regression findings. The direct path between compensation practices and turnover was not statistically significant (p = 0.918), consistent with the correlation findings.

The strong positive correlation between SHRM practices and employee performance (r = 0.752, p < 0.001) supports H1 and aligns with the RBV prediction that strategically configured HR practices build human capital that is difficult to replicate (Barney 1991). This is broadly consistent with the meta-analytic findings of Combs et al. (2006), who reported an aggregate effect size of r = 0.20, by demonstrating that in a resource-constrained SME context, the perceived impact of SHRM practices on individual performance may be stronger than typically observed in large firms. This is consistent with the HCT argument that training and development investments yield disproportionate returns when baseline human capital formalisation is low (Brian & Mark 2006).

Compared with Anwar and Abdullah (2021), who found significant HRM–performance relationships in emerging market firms using aggregate firm-level data, the present study’s employee-level operationalisation provides a more granular picture of the mechanism. Employees in Saudi SMEs appear to translate perceived SHRM quality into performance effort, a pathway consistent with social exchange theory (Otoo 2019) and with Guest’s (2011) model of the HR–performance chain.

The finding that SHRM transparency and communication correlated significantly with organisational success (r = 0.597, p < 0.01) and that work–life balance practices predicted job satisfaction (r = 0.624, p < 0.01) supports H2 and is interpretable through Contingency Theory. In Saudi Arabia’s hierarchically structured workplace culture, where power distance is relatively high (Cherif 2020), open communication about HR decisions, performance expectations, career pathways, and policy changes may be particularly salient because it helps reduce uncertainty in an environment where information asymmetry is common. This extends the finding of Javed et al. (2019), who reported similar communication–satisfaction associations in higher education contexts, to an SME setting.

The chi-square results (χ² = 53.844, p < 0.001) and Pearson correlation (r = 0.495, p < 0.01) confirm H3. Consistent with HCT, investment in talent identification and development creates workforce capabilities that translate into observable performance improvements (Aburumman et al. 2020). In the Saudi Vision 2030 context, talent management carries additional strategic weight: as the Kingdom works to increase Saudisation, the employment of Saudi nationals in private sector roles, SMEs face particular pressures to develop local talent pipelines (Alotaibi & Aloud 2023). Strategic human resource management practices that prioritise career development, therefore, serve both firm-level and national economic objectives.

Performance management practices were significantly associated with employee relations quality (χ² = 71.105, p < 0.001) and organisational success (r = 0.493, p < 0.01), supporting H4. This aligns with Al-Ayed’s (2019) finding that structured performance management systems enhance organisational resilience in Saudi Arabian healthcare institutions. In SME contexts where HR systems are less formalised, the introduction of structured performance appraisal and feedback mechanisms provides the directional clarity that employees need to align their efforts with strategic objectives (Fiedler 1964).

The picture for H5 is more nuanced. Compensation and work–life balance practices correlated with turnover intentions (r = 0.599 and r = 0.334, respectively), but the direct path from compensation satisfaction to turnover did not reach significance (p = 0.918). This pattern is worth considering in light of the Saudi cultural context. Human Capital Theory predicts that competitive financial rewards reduce voluntary turnover by raising the economic cost of leaving (Becker 1964). However, Contingency Theory suggests that this relationship is moderated by cultural values. In Saudi Arabia, Cherif (2020) has documented that organisational commitment is more strongly predicted by perceived respect, belonging, and career development than by financial compensation alone. The present finding corroborates this: employees appear to respond to the total reward package, in which non-financial elements carry cultural primacy, rather than to base compensation in isolation. This has practical implications for SMEs competing for talent against larger firms with greater financial resources: investing in workplace culture, flexibility, and development may be a more cost-effective retention strategy than competing on wages.

Taken together, the findings support the value of an integrated SHRM approach in which talent management, performance management, and compensation and work–life balance practices are coherently configured toward strategic objectives (Al-Tit et al. 2022; Wright & McMahan 2011). The SEM results confirm that these practices function as a system rather than as isolated interventions. For Saudi SMEs pursuing Vision 2030’s human capital development agenda, this argues for HR strategy, not HR administration, as the organising logic for people management.

Based on the findings, the following recommendations are offered for SME practitioners and policymakers in Saudi Arabia.

This study has several limitations that qualify the generalisability of its findings. Firstly, the cross-sectional design does not allow causal conclusions to be drawn; longitudinal data would be required to establish temporal precedence. Secondly, all constructs are based on self-reported employee perceptions, which may be subject to social desirability bias, despite the anonymity protections in place. Thirdly, the sample is drawn from SMEs in three urban centres (Riyadh, Jeddah, and Dammam); rural and sector-specific SMEs may exhibit different SHRM configurations. Fourthly, the study does not include objective organisational performance measures (e.g. financial accounts, productivity records), relying instead on employee perceptions of performance, a common but acknowledged limitation of survey-based SHRM research.