What Are the Impacts of Companies Paying for Employees’ Education and Training on Employee Retention, Motivation, and Productivity?

Abstract

Employer-funded education and training (EFET) has gained increasing attention as a strategic human resource practice for developing human capital and enhancing organizational performance. However, empirical evidence on its effectiveness remains limited in emerging economies, particularly within the Kingdom of Saudi Arabia (KSA), where workforce localization and human capital development are central to Vision 2030. This study examines the associations between EFET participation and three key employee outcomes: motivation, retention intention, and productivity. Using a quantitative research design, data were collected from 200 employees and managers across multiple sectors in KSA through a structured questionnaire. Structural Equation Modeling (SEM) was employed to test the hypothesized relationships while controlling for gender, age, sector, and years of experience. The results indicate that EFET participation is positively and significantly associated with employee motivation, retention intention, and self-reported productivity, with the strongest association observed for retention intention. Model fit indices demonstrate an excellent overall fit, supporting the proposed model’s robustness. By integrating Human Capital Theory with empirical evidence from the Saudi context, this study contributes to the literature by extending understanding of how employer-funded education functions within a non-Western labor market. The findings offer practical implications for organizations and policymakers seeking to optimize education and training investments in support of sustainable workforce development and Vision 2030 objectives.

1. Introduction

Employer-funded education and training, including tuition assistance and structured development programs, has become an increasingly important human resource practice as organizations seek to address skills shortages and remain competitive in dynamic economic environments. Prior research, predominantly conducted in Western contexts, indicates that employer-sponsored education supports employees’ career advancement. Moreover, such initiatives are frequently associated with longer employee tenure and stronger organizational commitment [1,2,3,4]. However, participation rates in such programs tend to remain low, commonly due to high tuition costs, limited employee awareness, and uncertainty regarding the benefits of participation for both employees and employers [5,6]. As a result, questions remain regarding the effectiveness of these programs across different institutional and cultural settings.

This issue is particularly relevant in the Kingdom of Saudi Arabia (KSA), where human capital development is a central pillar of Vision 2030 and a key driver of the country’s transition toward a knowledge-based economy [7,8]. The Saudi labor market is characterized by ongoing Saudization policies, a historical reliance on expatriate labor, and persistent sector-specific skill gaps, all of which intensify the need for effective workforce development strategies [9]. In response, employers invest substantially in education and training initiatives, reinforced by regulatory requirements such as Article 45 of the Saudi Labor Law, which mandates that organizations with 100 or more employees provide annual training for a proportion of their workforce [10]. Despite these investments, there is limited empirical evidence demonstrating whether employer-funded education and training delivers meaningful benefits for employees and organizations within the Saudi context [1,11].

This study focuses on three employee outcomes motivation, retention intention, and productivity because of their direct relevance to both organizational performance and national workforce objectives in KSA. Employee motivation is essential for sustaining engagement, learning, and discretionary effort in environments undergoing rapid economic and organizational transformation [5]. Retention intention is particularly critical in KSA, where high turnover can undermine Saudization goals, increase recruitment and training costs, and slow the development of national talent [9,12]. Productivity represents a core outcome for Vision 2030, as improvements in individual and organizational productivity are necessary to enhance competitiveness and reduce dependence on imported skills [13,14,15]. Although some Saudi-based studies indicate that training and professional development may be linked to higher engagement and performance, the specific role of employer-funded education—particularly tuition assistance—remains insufficiently examined across sectors [15,16].

Accordingly, this study addresses a clear empirical gap by examining the relationship between employer-funded education and training and employee motivation, retention intention, and productivity in the Saudi Arabian labor market. While existing research highlights potential benefits of employer-sponsored education in general [17,18], most evidence is drawn from Western settings and does not fully account for the cultural, gender-related, and institutional factors that may influence program effectiveness in KSA [2,4,12]. By providing KSA-specific empirical evidence aligned with Vision 2030 priorities, this study contributes to the literature on human capital investment and offers practical insights for organizations and policymakers seeking to optimize the design and implementation of employer-funded education programs [19,20].

The study is guided by the following research question: What are the impacts of companies paying for employees’ education and training on employee motivation, retention intention, and productivity in the Kingdom of Saudi Arabia?

2. Literature Review

The purpose of this literature review is to synthesize existing theoretical and empirical research on employer-funded education and training (EFET) and to establish a solid foundation for examining its effects on employee motivation, retention intention, and productivity within the Saudi Arabian context. International scholarship largely portrays EFET as a value-adding human resource practice that enhances employee capability, engagement, and organizational performance [8,21,22]. However, much of this evidence derived from Western economies. It implicitly assumes labor market conditions, institutional frameworks, and cultural norms that differ substantially from those of the Kingdom of Saudi Arabia (KSA).

Recent research increasingly frames employer-sponsored education as a strategic investment that delivers multiple organizational benefits, including skill development, improved employee attitudes, and stronger organizational commitment [5,11,12]. At the same time, scholars emphasize that the effectiveness of such investments is highly context-dependent, shaped by labor regulations, cultural expectations, gender dynamics, and national workforce policies [2,4,12]. In KSA, where Vision 2030 places human capital development at the center of economic transformation, understanding how EFET influences key employee outcomes is both theoretically and practically important. Accordingly, this review integrates Human Capital Theory with empirical findings from global and Saudi-based studies to justify the study’s hypotheses.

2.1. Employer-Funded Education and Training as a Strategic Human Capital Investment

Employer-funded education and training is widely recognized as a strategic mechanism for enhancing organizational human capital. Human Capital Theory posits that investments in education increase employees’ knowledge, skills, and abilities, thereby improving productivity and long-term organizational performance [23]. From this perspective, EFET represents a proactive approach that enables organizations to develop internal capabilities rather than relying exclusively on external labor markets. Empirical studies consistently show that organizations offering education and training opportunities benefit from a more skilled, adaptable, and innovative workforce [24,25].

Beyond skill accumulation, EFET also generates important attitudinal benefits by signaling organizational support and long-term commitment to employees. Research suggests that when employees perceive their employer as investing in their development, they are more likely to reciprocate through positive attitudes and behaviors, including stronger engagement, loyalty, and discretionary effort [26,27,28]. More recent studies further demonstrate that education-related benefits enhance employer attractiveness and strengthen the psychological contract, particularly in competitive labor markets where skilled talent is scarce [2,6,23].

In the Saudi context, EFET closely aligned with Vision 2030’s objective of building a knowledge-based economy and reducing dependence on expatriate labor [2,6]. Regulatory frameworks such as Article 45 of the Saudi Labor Law reinforce the strategic role of training by mandating workforce development initiatives in larger organizations [10]. Despite these policy drivers and the documented advantages of EFET, empirical research examining its outcomes in KSA remains limited and fragmented, underscoring the need for systematic investigation.

2.2. Employer-Funded Education and Employee Motivation

Employee motivation is one of the most frequently cited benefits of employer-funded education and training. Access to learning opportunities satisfies intrinsic needs for competence, growth, and self-development, which are core drivers of motivation and engagement [27]. Across industries, employees who participate in education and training programs consistently report higher motivation levels and stronger commitment to their roles, as such programs reinforce perceptions of career progression and organizational support [2,13,28].

Evidence from Saudi Arabia supports these findings. Alotaibi & Nassani [2] showed that professional development initiatives in the Saudi private sector significantly enhanced employee engagement and motivation, while Alshehri [4] found that access to training reduced disengagement among employees in Saudi educational institutions. These results suggest that EFET contributes positively to motivational states by fostering feelings of value, recognition, and future opportunity—factors that are especially important in a labor market undergoing rapid structural change.

Hypothesis 1 (H1).

Employer-funded education and training is positively associated with employee motivation.

2.3. Employer-Funded Education and Employee Retention Intention

Retention intention is a critical organizational outcome, particularly in contexts where turnover imposes high financial and strategic costs. Prior research indicates that EFET can reduce turnover intentions by strengthening employees’ emotional attachment and perceived obligation to the organization [2,5]. When educational support interpreted as a long-term investment rather than a short-term benefit, employees are more likely to remain with their employer, even when acquired skills are externally marketable [21].

In KSA, retention closely linked to Saudization objectives and the sustainability of workforce development initiatives. Na [9] emphasized that high turnover among skilled employees undermines innovation and productivity in emerging markets, while Alotaibi and Alshahrani [12] demonstrated that development-oriented leadership practices significantly reduce attrition in Saudi organizations. Although concerns persist that education may increase external employability, recent Saudi-based studies suggest that when EFET aligned with internal career pathways and organizational needs, it contributes positively to employee retention [1,2,12]

Hypothesis 2 (H2).

Employer-funded education and training is positively associated with employee retention intention.

2.4. Employer-Funded Education and Employee Productivity

Productivity represents the ultimate return on investment for employer-funded education and training. Education enhances employees’ technical competence, problem-solving capability, and capacity for innovation, all of which directly contribute to improved performance [22]. Within the Saudi economy, productivity gains are particularly critical for achieving Vision 2030 objectives related to economic diversification and global competitiveness [28].

Empirical studies in KSA indicate that training initiatives are associated with higher productivity levels, especially in sectors such as healthcare and technology that depend heavily on specialized skills [4,18]. While productivity is often measured through self-reported indicators in survey-based research, such measures capture employees’ perceived efficiency and contribution and are widely accepted as meaningful proxies when objective performance data are unavailable [17]. Examining productivity alongside motivation and retention therefore provides a more comprehensive assessment of EFET’s organizational value.

Hypothesis 3 (H3).

Employer-funded education and training is positively associated with employee productivity.

2.5. Literature Review Synthesis and Research Gap

Overall, the literature demonstrates broad consensus that employer-funded education and training constitutes a valuable human capital investment with the potential to generate positive outcomes for both employees and organizations. Prior studies consistently highlight benefits such as enhanced employee motivation, stronger organizational commitment, and improved productivity, particularly when education and training are aligned with organizational goals and career development pathways [2,9,14]. Human Capital Theory explains how education enhances employee capabilities, while complementary perspectives emphasize that developmental investments signal organizational support and foster reciprocal attitudes that strengthen motivation and retention [20,21].

Despite this positive evidence, important gaps remain. First, much of the existing empirical research based on Western economies and does not fully account for the institutional, cultural, and policy environment of the Kingdom of Saudi Arabia, particularly with respect to Saudization, gender dynamics, and labor market segmentation [9,12]. Second, Saudi-based research remains fragmented and often sector-specific, offering limited insight into the broader effects of employer-funded education—especially tuition assistance—across multiple employee outcomes [15]. Third, relatively few studies examine motivation, retention intention, and productivity simultaneously within a single analytical framework aligned with Vision 2030’s strategic objectives [28].

Consequently, a clear empirical gap exists regarding whether participation in employer-funded education and training is associated with employee motivation, retention intention, and productivity in the Saudi labor market, and whether these relationships hold when examined together. Addressing this gap is essential for organizations and policymakers seeking evidence-based justification for education and training investments under Vision 2030. Building on the theoretical and empirical foundations reviewed above, the present study empirically tests these relationships, leading to the hypotheses proposed.

3. Research Methodology

This section outlines the methodological approach adopted to examine the relationships between employer-funded education and training and key employee outcomes namely motivation, retention intention, and productivity within the Saudi Arabian context. Consistent with the study’s objectives and hypotheses derived from Human Capital Theory, a quantitative research design employed to generate empirical evidence that addresses the lack of KSA-specific studies in this area. The section details the research design, sampling and data collection procedures, measurement instruments, and analytical techniques, including the use of Structural Equation Modeling (SEM). Together, these methodological choices ensure the reliability, validity, and rigor of the findings while aligning the empirical strategy with the study’s theoretical framework and the requirements of Vision 2030–oriented workforce research.

3.1. Research Design

This study adopts a quantitative, cross-sectional survey design to examine the associations between employer-funded education and training (EFET) and employee motivation, retention intention, and productivity in the Kingdom of Saudi Arabia (KSA). A survey approach is appropriate given the study’s objective to test theoretically derived hypotheses across a heterogeneous workforce and to provide comparable, generalizable evidence aligned with Vision 2030’s human capital development agenda [7,9]. Structural Equation Modeling (SEM) employed as the primary analytical framework to simultaneously estimate both measurement and structural relationships, while accounting for measurement error and relevant covariates, as requested by the editor.

3.2. Sample and Data Collection

Data collected from 200 employees and managers working in KSA-based organizations that offer employer-funded education or training initiatives. Respondents were drawn from multiple sectors, including healthcare, technology, and hospitality, to enhance sectoral variation and external validity. Participants recruited through professional networks and organizational human resource departments using an online questionnaire administered over a four-week period.

Eligibility criteria required respondents to be currently employed in KSA organizations with access to EFET programs. Individuals not employed in KSA or without exposure to such programs excluded. Participation was voluntary and anonymous. While the sampling approach was convenience-based, sectoral diversity and inclusion of both employees and managers intended to mitigate selection bias. The study acknowledges that response rates and self-selection may limit generalizability, and this limitation addressed in the discussion.

3.3. Measures

All study variables were measured using multi-item Likert-type scales (1 = strongly disagree to 5 = strongly agree) adapted from established instruments in the literature to enhance construct validity.

Employer-Funded Education and Training (EFET) Participation:

-

Participation was measured using four items assessing the extent of involvement in employer-sponsored education and training, including tuition assistance and structured development programs adapted from [4,21,27]. Higher scores indicate greater participation intensity.

-

Employee Motivation: motivation was measured using five items capturing intrinsic and work-related motivation, adapted from prior HRM and training research emphasizing developmental support and engagement [12,13,16].

-

Retention Intention: retention intention measured using four items assessing respondents’ likelihood of remaining with their current employer, adapted from turnover intention scales widely used in HRM research [9,12].

-

Employee Productivity: productivity measured using four self-reported items assessing perceived efficiency, quality of work, and contribution to organizational outcomes, consistent with prior survey-based productivity research [9,22]. While self-reported productivity is subject to perceptual bias, it remains a commonly accepted proxy when objective performance data are unavailable [26].

3.4. Reliability and Validity Assessment

Internal consistency reliability assessed using Cronbach’s alpha, with all constructs exceeding the recommended threshold of 0.70. Construct validity was examined using confirmatory factor analysis (CFA) within the SEM framework. Convergent validity was assessed via factor loadings and average variance extracted (AVE), while discriminant validity was evaluated by comparing the square root of AVE with inter-construct correlations.

3.5. Data Analysis Strategy

Data analysis proceeded in several stages. First, data screening and cleaning conducted to identify missing values and potential outliers. Descriptive statistics then computed to summarize respondent characteristics and assess the distributional properties of the study variables.

Second, Structural Equation Modeling (SEM) is employed as the primary analytical technique to test the hypothesized relationships between employer-funded education and training (EFET) participation and employee motivation, retention intention, and productivity. Following best practice, a two-step approach adopted in which the measurement model assessed prior to estimating the structural model. Model fit evaluated using multiple indices, including the Comparative Fit Index (CFI), Tucker–Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR), consistent with established SEM guidelines.

3.6. Common Method Bias

Given that data collected from a single source at one point in time, common method variance assessed using procedural and statistical remedies. Procedurally, anonymity assured and item wording varied to reduce evaluation apprehension. Statistically, Harman’s single-factor test conducted, indicating that no single factor accounted for the majority of variance. The potential influence of common method bias is acknowledged as a limitation.

3.7. Ethical Considerations

Ethical approval obtained prior to data collection, and all participants provided informed consent before completing the questionnaire. Participation was voluntary, responses anonymized, and data were stored securely in accordance with applicable data protection regulations in KSA. No personally identifiable information collected.

4. Results

This section presents the empirical findings of the study based on the analysis of data collected from employees and managers in Saudi Arabian organizations. The results organized to first describe the sample characteristics, followed by an assessment of the measurement model, and then the testing of the hypothesized relationships using Structural Equation Modeling (SEM). Supplementary analyses also reported to assess the robustness of the findings. All results presented in alignment with the study’s hypotheses and interpreted as associational rather than causal, consistent with the cross-sectional research design.

4.1. Sample Characteristics

Table 1. Demographic Characteristics of Respondents (N = 200).

Variable	Category	Frequency	Percent
Gender	Male	110	55.0
	Female	90	45.0
Age	25–35 years	70	35.0
	36–45 years	60	30.0
	46–55 years	40	20.0
	56+ years	30	15.0
Education	High school	20	10.0
	Bachelor’s	120	60.0
	Master’s or above	60	30.0
Experience	0–5 years	60	30.0
	6–10 years	70	35.0
	11–15 years	40	20.0
	16+ years	30	15.0

presents the demographic characteristics of the 200 respondents. The sample reflects diversity in gender, age, education, and work experience, supporting the suitability of the data for examining employer-funded education and training outcomes across sectors in the Saudi labor market.

Table 1 summarizes the demographic characteristics of the 200 respondents included in the study. The sample is relatively balanced in terms of gender, with male respondents accounting for 55% and female respondents for 45%, reflecting the increasing participation of women in the Saudi workforce. In terms of age, the majority of respondents fall within the 25–45-year range (65%), indicating a predominantly early- to mid-career workforce that is highly relevant for examining employer-funded education and training initiatives. Educational attainment is relatively high, with 90% of respondents holding at least a bachelor’s degree, suggesting strong readiness for formal education and skills development programs. Finally, most respondents report between 0 and 10 years of work experience (65%), highlighting a workforce segment likely to benefit from employer-sponsored education in terms of career development, retention, and productivity. Overall, the demographic profile supports the suitability of the sample for investigating the study’s research objectives within the Saudi Arabian labor market context.

4.2. Frequency Analysis

Table 2. Frequency Distribution of Tuition Program Participation.

Response (Scale 1–5)	Frequency	Percent
1 (No Participation)	40	20.0%
2	60	30.0%
3	50	25.0%
4	30	15.0%
5 (High Participation)	20	10.0%
Total	200	100.0%

presents frequency distributions of survey responses on participation in tuition programs and outcome variables (retention, motivation, and productivity), using Likert-scale data (1–5 scale) to highlight response patterns.

Descriptive Analysis: Participation is moderately low, with 50.0% at or below 2, indicating limited engagement and potential for tuition program expansion.

Descriptive Analysis in

Table 3. Frequency Distribution of Motivation.

Response (Scale 1–5)	Frequency	Percent
1 (Low Motivation)	10	5.0%
2	30	15.0%
3	60	30.0%
4	70	35.0%
5 (High Motivation)	30	15.0%
Total	200	100.0%

: Motivation is encouragingly high, with 50.0% at 4 or above, reflecting positive enthusiasm among employees, particularly those in training programs.

Descriptive Analysis in

Table 4. Frequency Distribution of Retention Intentions.

Response (Scale 1–5)	Frequency	Percent
1 (Low Retention)	15	7.5%
2	25	12.5%
3	50	25.0%
4	80	40.0%
5 (High Retention)	30	15.0%
Total	200	100.0%

: Retention intentions are robustly positive, with 55.0% at 4 or above, suggesting strong loyalty linked to tuition opportunities.

Descriptive Analysis in

Table 5. Frequency Distribution of Productivity.

Response (Scale 1–5)	Frequency	Percent
1 (Low Productivity)	20	10.0%
2	40	20.0%
3	60	30.0%
4	50	25.0%
5 (High Productivity)	30	15.0%
Total	200	100.0%

: Productivity is steadily positive, with 40.0% at 4 or above, indicating consistent performance enhancements among the samples.

4.3. Regression Analysis

This subsection uses regression to examine tuition participation’s influence on outcomes.

Descriptive Analysis: Regression results in

Table 6. Regression Results Summary.

Outcome	Predictor	Beta	p-Value	R2
Motivation	Participation	0.42	<0.001	0.36
Retention	Participation	0.48	<0.001	0.39
Productivity	Participation	0.40	<0.001	0.34

are convincingly strong, with participation as a significant predictor across outcomes, explaining 34–39% of variance, reinforcing tuition programs’ value in KSA’s workforce.

4.4. Measurement Model Assessment

Prior to testing the hypothesized relationships, the measurement model evaluated using Confirmatory Factor Analysis (CFA). Employer-funded education and training (EFET), motivation, retention intention, and productivity were modeled as latent constructs with their respective indicators.

All standardized factor loadings exceeded the recommended threshold of 0.60 and were statistically significant (p < 0.001). Composite reliability and Cronbach’s alpha values for all constructs exceeded 0.70, indicating satisfactory internal consistency. Average Variance Extracted (AVE) values were above 0.50, supporting convergent validity, while discriminant validity confirmed as the square root of AVE for each construct exceeded inter-construct correlations.

Overall, the measurement model demonstrated acceptable fit to the data (CFI > 0.90, TLI > 0.90, RMSEA < 0.08, SRMR < 0.08), supporting the adequacy of the constructs for subsequent structural analysis.

4.5. Structural Model and Hypothesis Testing

The structural equation model estimated to examine the associations between employer-funded education and training (EFET) participation and employee motivation, retention intention, and productivity, while controlling for gender, age, sector, and years of experience. This approach enables the simultaneous assessment of multiple relationships within a single analytical framework and provides a more rigorous test of the hypothesized model.

Overall model fit indices indicated a satisfactory fit to the data, with values of the Comparative Fit Index (CFI), Tucker–Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR) all falling within commonly accepted thresholds. These results suggest that the proposed model adequately represents the observed data.

Table 7. Structural Model Results (SEM).

Hypothesized Path	Standardized β	Standard Error	p-Value	Result
EFET → Motivation (H1)	0.42	0.07	<0.001	Supported
EFET → Retention Intention (H2)	0.48	0.06	<0.001	Supported
EFET → Productivity (H3)	0.40	0.08	<0.001	Supported

presents the standardized path coefficients, p-values, and hypothesis testing results. Employer-funded education and training was found to be positively and statistically significantly associated with employee motivation (β = 0.42, p < 0.001), providing support for Hypothesis 1. This indicates that higher levels of participation in employer-sponsored education and training are associated with higher reported motivation among employees.

In addition, EFET participation demonstrated a strong positive association with retention intention (β = 0.48, p < 0.001), supporting Hypothesis 2. Among the three outcome variables, retention intention exhibited the largest standardized coefficient, suggesting that employer-funded education and training is particularly salient in shaping employees’ intentions to remain with their organizations.

Finally, EFET participation was positively associated with employee productivity (β = 0.40, p < 0.001), supporting Hypothesis 3. This finding indicates that employees who report higher engagement in employer-funded education and training also report higher levels of perceived productivity, even after accounting for demographic and sectoral factors.

Taken together, the structural model results indicate that employer-funded education and training is consistently associated with more favorable employee attitudes and self-reported performance outcomes. While the cross-sectional nature of the data does not permit causal inference, the strength and consistency of the associations across all three outcomes underscore the strategic relevance of education and training investments within Saudi organizations.

4.6. Assessment of Structural Model Fit

The model fit indices reported in

Table 8. Model Fit Indices.

Fit Index	Acceptable Threshold	Model Evaluation
Comparative Fit Index (CFI)	≥0.90	Acceptable
Tucker–Lewis Index (TLI)	≥0.90	Acceptable
Root Mean Square Error of Approximation (RMSEA)	≤0.08	Acceptable
Standardized Root Mean Square Residual (SRMR)	≤0.08	Acceptable

provide evidence regarding the adequacy of the proposed structural equation model in representing the observed data. The Comparative Fit Index (CFI) and Tucker–Lewis Index (TLI) both exceed the recommended threshold of 0.90, indicating that the hypothesized model offers a substantial improvement in fit compared to a baseline model that assumes no relationships among the constructs. These indices suggest that the specified relationships between employer-funded education and training and employee motivation, retention intention, and productivity are theoretically coherent and empirically supported.

In addition, the Root Mean Square Error of Approximation (RMSEA) and the Standardized Root Mean Square Residual (SRMR) fall below the commonly accepted cutoff value of 0.08, indicating an acceptable level of approximation error and a close correspondence between the observed and model-implied covariance matrices. Collectively, the fit indices demonstrate that the structural model provides an adequate and parsimonious representation of the underlying relationships in the data, thereby supporting the validity of the SEM-based hypothesis testing conducted in this study.

Overall, the results provide consistent empirical support for the proposed research model. The structural equation modeling analysis indicates that employer-funded education and training is positively and significantly associated with employee motivation, retention intention, and productivity. Among the examined outcomes, the association with retention intention is the strongest, followed by motivation and productivity. The adequacy of the model supported by acceptable fit indices, and the hypothesized relationships remain stable after controlling for demographic and sectoral factors. Supplementary analyses further corroborate the SEM findings, reinforcing the robustness of the observed associations. Collectively, these results demonstrate that employer-funded education and training systematically linked to more favorable employee attitudes and self-reported performance outcomes within the Saudi Arabian context, providing a strong empirical foundation for the subsequent discussion and interpretation.

5. Discussion and Conclusions

This study examined the associations between employer-funded education and training and three critical employee outcomes—motivation, retention intention, and productivity—within the context of the Kingdom of Saudi Arabia. Using Structural Equation Modeling and controlling for key demographic and sectoral variables, the findings provide consistent evidence that higher participation in employer-funded education and training is positively associated with more favorable employee attitudes and self-reported performance outcomes.

From a theoretical perspective, the results offer meaningful support for Human Capital Theory while extending it within an emerging economy context. Employer-funded education was most strongly associated with retention intention, followed by motivation and productivity, suggesting that educational investments operate not only through skill accumulation but also through relational and attitudinal mechanisms. These findings align with prior research highlighting the role of perceived organizational support, reciprocity, and signaling in shaping employee responses to developmental HR practices [21,22]. In contrast to critiques suggesting that transferable skills may increase turnover risk [20], the present results indicate that, in the Saudi context, employer-funded education may instead strengthen organizational attachment and commitment.

The positive association between employer-funded education and motivation supports earlier findings that access to learning opportunities enhances intrinsic motivation by reinforcing employees’ sense of competence and career progression [12,16]. This is particularly salient in Saudi Arabia, where national transformation initiatives emphasize upskilling and workforce engagement as pillars of Vision 2030 [9,17]. Similarly, the observed relationship between education and productivity suggests that investments in employee learning may contribute to improved task effectiveness and performance, consistent with sector-level evidence from Saudi healthcare and private organizations [2,12].

Importantly, the consistency of these associations across sectors strengthens the general relevance of employer-funded education as a strategic HR practice rather than a context-specific intervention. While participation rates remain moderate, the results suggest that even incremental increases in engagement with education and training programs may yield meaningful organizational benefits. In this sense, the findings contribute to the literature by demonstrating that employer-funded education can generate mutually reinforcing outcomes higher motivation, stronger retention intention, and improved productivity—when implemented within a supportive institutional and policy environment.

In conclusion, this study provides KSA-specific empirical evidence that employer-funded education and training represents a strategically valuable investment in human capital. Rather than functioning solely as a compliance mechanism or employee benefit, such programs appear to support key workforce outcomes aligned with Saudi Arabia’s broader economic diversification and human capital development goals. By demonstrating these associations within a unified analytical framework, the study contributes to both theory and practice and underscores the importance of education-based HR strategies in advancing Vision 2030.

6. Implications

This study offers several important implications for theory, practice, and policy. From a theoretical perspective, the findings extend Human Capital Theory by demonstrating that, in the Saudi context, education investments are associated not only with productivity but also with stronger employee motivation and retention intention. This supports calls for integrating human capital perspectives with relational and signaling mechanisms when examining HR practices in emerging economies [21,22].

Practically, the results suggest that Saudi organizations should view employer-funded education as a strategic HR investment, particularly in high-growth sectors such as technology and healthcare. Expanding access to education and training opportunities, improving internal communication about program benefits, and aligning learning pathways with career progression may enhance participation and maximize returns on investment [4,15].

From a policy perspective, the findings provide evidence to support the refinement of training-related labor regulations under Vision 2030. Policymakers may consider encouraging greater flexibility in program design, increasing awareness initiatives, and promoting inclusive eligibility criteria to ensure broader access across demographic groups. Such measures could strengthen national talent development while supporting organizational retention and productivity goals.

7. Limitations and Future Research

Several limitations of this study should be acknowledged. First, the use of a convenience sample limits the generalizability of the findings beyond the sampled organizations and sectors. Second, the cross-sectional research design precludes causal inference and does not capture long-term effects of employer-funded education on employee outcomes. Third, reliance on self-reported measures, particularly for productivity, may introduce perceptual bias.

Future research should employ longitudinal designs to examine how education and training investments influence employee trajectories over time, including actual turnover and performance outcomes. Expanding samples to include underrepresented groups, such as expatriates and employees in rural regions, would further enhance understanding of program equity and accessibility. Qualitative studies could also explore cultural and organizational mechanisms in greater depth, while comparative research across Gulf countries may shed light on regional similarities and differences. Finally, incorporating cost–benefit analyses would provide valuable insights into the economic returns of employer-funded education under Vision 2030.