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<h2>Introduction</h2><p>The rapid advancement of digital technologies has fundamentally altered the competitive landscape for businesses across all sectors. Digital transformation (DT) — the integration of digital technologies into all areas of business, fundamentally changing how organizations operate and deliver value to customers — has become a strategic priority for firms seeking to maintain relevance and competitiveness (Vial, 2019). While large corporations have often led the way in adopting sophisticated digital solutions, small and medium enterprises (SMEs) are increasingly recognizing the need to embark on their own digital journeys (Eller et al., 2020). However, the path to digital maturity is fraught with challenges, including limited resources, lack of technical expertise, and organizational inertia (Mittal et al., 2018).</p><p>Operational efficiency, defined as the ratio of output to input in business processes, is a critical performance metric for SMEs, as it directly impacts profitability and sustainability (Gunasekaran et al., 2019). Digital technologies such as cloud computing, data analytics, and automation have the potential to streamline operations, reduce costs, and improve quality (Fitzgerald et al., 2014). Yet, the mere adoption of technology does not guarantee efficiency gains; the organizational context, including employee skills and management practices, plays a crucial role (Kane et al., 2017).</p><p>Despite the growing body of research on digital transformation, most studies have focused on large enterprises, leaving a gap in understanding how SMEs can effectively leverage digitalization to enhance operational efficiency (Saarikko et al., 2020). Moreover, the mechanisms through which DT influences efficiency are not well understood. This study addresses this gap by examining the direct and indirect effects of digital transformation on operational efficiency in SMEs, with a focus on two potential mediators: employee digital literacy and organizational agility.</p><p>Digital literacy refers to the ability of employees to effectively use digital tools and technologies to perform their tasks (van Laar et al., 2017). Organizational agility is the capability of a firm to rapidly adapt to market changes and seize opportunities (Teece et al., 2016). Both are considered essential for successful digital transformation (Nwankpa & Roumani, 2016). We hypothesize that DT enhances operational efficiency directly by automating processes and improving data-driven decision-making, and indirectly by fostering a digitally skilled workforce and an agile organizational culture.</p><p>The research questions guiding this study are: (1) What is the relationship between digital transformation and operational efficiency in SMEs? (2) Do employee digital literacy and organizational agility mediate this relationship? (3) What contextual factors influence the success of digital transformation initiatives in SMEs? To answer these questions, we employed a sequential explanatory mixed-methods design, combining a quantitative survey with qualitative interviews.</p><p>This study makes several contributions. First, it extends the digital transformation literature to the SME context, which is often overlooked. Second, it provides empirical evidence on the mediating mechanisms, offering a more nuanced understanding of how DT affects performance. Third, it offers practical insights for SME managers and policymakers on where to focus investments to maximize the benefits of digitalization.</p><h2>Methods</h2><h3>Research Design</h3><p>This study used a sequential explanatory mixed-methods design, consisting of two phases. In the first phase, a quantitative survey was conducted to test the hypothesized relationships. In the second phase, qualitative interviews were conducted to explain and enrich the quantitative findings. This design is appropriate for gaining a comprehensive understanding of complex organizational phenomena (Creswell & Plano Clark, 2017).</p><h3>Sample and Data Collection</h3><p>The target population consisted of SMEs (defined as firms with 10-249 employees) operating in the manufacturing and service sectors in the United States. A stratified random sampling approach was used to ensure representation across sectors and firm sizes. An online survey was distributed to 1,000 SME owners or senior managers, yielding 312 usable responses (response rate = 31.2%). The sample included 58% manufacturing and 42% service firms, with an average firm size of 78 employees (SD = 52). The majority of respondents were owners (45%) or senior managers (55%).</p><p>For the qualitative phase, 20 respondents who indicated willingness to participate in follow-up interviews were selected using purposive sampling to ensure diversity in industry, firm size, and digital transformation maturity. Semi-structured interviews were conducted via video conferencing, each lasting 45-60 minutes. Interviews were audio-recorded and transcribed verbatim.</p><h3>Measures</h3><p>All constructs were measured using validated scales adapted from prior literature, with responses on a 7-point Likert scale (1 = strongly disagree, 7 = strongly agree).</p><p><strong>Digital Transformation Intensity (DTI)</strong> was measured using a 6-item scale adapted from Westerman et al. (2014), assessing the extent to which the firm has adopted digital technologies in operations, customer interactions, and business models. A sample item is "Our company uses digital technologies to improve operational processes." Cronbach's alpha was 0.89.</p><p><strong>Operational Efficiency (OE)</strong> was measured using a 5-item scale adapted from Gunasekaran et al. (2019), capturing improvements in cycle time, cost reduction, quality, and productivity. A sample item is "Our operational costs have decreased due to digitalization." Cronbach's alpha was 0.87.</p><p><strong>Employee Digital Literacy (EDL)</strong> was measured using a 4-item scale adapted from van Laar et al. (2017), assessing employees' ability to use digital tools effectively. A sample item is "Our employees are proficient in using digital software." Cronbach's alpha was 0.91.</p><p><strong>Organizational Agility (OA)</strong> was measured using a 5-item scale adapted from Teece et al. (2016), capturing the firm's ability to adapt to market changes. A sample item is "Our company can quickly respond to changes in the market." Cronbach's alpha was 0.88.</p><p>Control variables included firm size (number of employees), industry (manufacturing vs. service), and firm age.</p><h3>Data Analysis</h3><p>Quantitative data were analyzed using SPSS 26 and AMOS 26. Descriptive statistics and correlations were computed. Structural equation modeling (SEM) was used to test the hypothesized direct and indirect effects, with bootstrapping (5,000 samples) to assess mediation. Model fit was evaluated using chi-square/df, CFI, TLI, RMSEA, and SRMR.</p><p>Qualitative data were analyzed using thematic analysis (Braun & Clarke, 2006). Transcripts were coded using NVivo 12, and themes were identified inductively. Two researchers independently coded the data, and discrepancies were resolved through discussion.</p><h2>Results</h2><h3>Quantitative Findings</h3><p>Table 1 presents descriptive statistics and correlations. All constructs showed acceptable reliability (Cronbach's alpha > 0.80). Digital transformation intensity was positively correlated with operational efficiency (r = 0.52, p < 0.01), employee digital literacy (r = 0.48, p < 0.01), and organizational agility (r = 0.45, p < 0.01).</p><p>The structural equation model demonstrated good fit: χ²/df = 2.34, CFI = 0.95, TLI = 0.94, RMSEA = 0.06, SRMR = 0.04. The direct effect of DTI on OE was significant (β = 0.42, p < 0.001). The indirect effects via EDL (β = 0.15, p < 0.01) and OA (β = 0.11, p < 0.05) were also significant, indicating partial mediation. The total effect of DTI on OE was 0.68, with the mediators accounting for 38% of the total effect.</p><p>Control variables (firm size, industry, firm age) had no significant effects on OE.</p><h3>Qualitative Findings</h3><p>Thematic analysis of the interviews revealed three main themes that explain the quantitative results and provide contextual insights.</p><p><strong>Theme 1: Resource Constraints and Legacy Systems</strong> — Many SME leaders highlighted limited financial and human resources as major barriers to digital transformation. One manufacturing manager stated, "We know we need to digitize, but the cost of new software and training is prohibitive for us." Legacy systems were also mentioned as obstacles, as integrating new technologies with outdated infrastructure is complex and costly.</p><p><strong>Theme 2: The Importance of Employee Skills</strong> — Respondents emphasized that the success of digital initiatives hinges on employees' digital literacy. A service firm owner noted, "We invested in a CRM system, but our staff didn't know how to use it effectively, so we didn't see the expected efficiency gains." Training and upskilling were seen as critical investments.</p><p><strong>Theme 3: Agility as a Facilitator</strong> — Firms that exhibited high agility were better able to adapt their processes and experiment with new technologies. A tech-savvy SME manager said, "Our ability to quickly change our workflows allowed us to integrate automation smoothly." Conversely, rigid organizational structures hindered digital adoption.</p><p>These themes align with the quantitative findings, suggesting that digital literacy and agility are key mechanisms through which DT affects operational efficiency.</p><h2>Discussion</h2><p>This study set out to examine the relationship between digital transformation and operational efficiency in SMEs, and to explore the mediating roles of employee digital literacy and organizational agility. The results confirm a significant positive direct effect of DT on operational efficiency, consistent with prior research (Eller et al., 2020; Fitzgerald et al., 2014). However, the more nuanced finding is that a substantial portion of this effect is mediated by employee digital literacy and organizational agility. This suggests that technology adoption alone is insufficient; firms must also develop human and organizational capabilities to fully realize the benefits of digitalization.</p><p>The mediating role of digital literacy underscores the importance of investing in employee training and development. As van Laar et al. (2017) argue, digital literacy is a multidimensional competency that enables employees to leverage digital tools effectively. Our findings extend this by showing that in the SME context, where resources are scarce, targeted upskilling can yield significant efficiency gains. This aligns with the qualitative theme that employees' inability to use new technologies was a major barrier to achieving expected outcomes.</p><p>Similarly, organizational agility emerged as a significant mediator. Agile firms are better positioned to adapt their processes and structures to accommodate new technologies, thereby enhancing efficiency. This finding supports the dynamic capabilities view (Teece et al., 2016), which posits that a firm's ability to sense and seize opportunities is crucial for competitive advantage. In the context of digital transformation, agility enables SMEs to experiment, learn, and iterate, which is essential for successful implementation.</p><p>The qualitative findings provide additional depth, highlighting the challenges SMEs face, such as resource constraints and legacy systems. These barriers are well-documented in the literature (Mittal et al., 2018; Saarikko et al., 2020), but our study shows that they can be mitigated by focusing on capability building. For instance, even with limited budgets, SMEs can prioritize training and adopt agile methodologies to improve their digital readiness.</p><p>Interestingly, control variables such as firm size and industry did not significantly affect operational efficiency, suggesting that the benefits of digital transformation are not limited to larger or manufacturing firms. This is encouraging for service-sector SMEs, which may have been overlooked in previous research.</p><h3>Theoretical Implications</h3><p>This study contributes to the digital transformation literature by providing empirical evidence of the mediating mechanisms in the SME context. While prior research has often treated DT as a direct driver of performance, our findings suggest that the path is more complex. By identifying digital literacy and agility as mediators, we offer a more granular understanding of how DT creates value. This aligns with the call for more process-oriented research in the field (Vial, 2019).</p><p>Furthermore, the study extends the dynamic capabilities framework to the digital transformation domain. Agility, as a dynamic capability, enables firms to reconfigure their resources and processes in response to technological changes. Our results support the notion that dynamic capabilities are essential for leveraging digital technologies effectively.</p><h3>Practical Implications</h3><p>For SME managers, the findings suggest that digital transformation should be approached holistically. Rather than focusing solely on technology acquisition, managers should invest in employee digital skills and foster an agile culture. This may involve providing regular training, encouraging experimentation, and flattening organizational hierarchies to speed up decision-making.</p><p>For policymakers, the results highlight the need for support programs that help SMEs build digital capabilities. This could include subsidies for training, access to digital consultants, and platforms for sharing best practices. Given that SMEs are the backbone of many economies, enhancing their digital readiness can have broad economic benefits.</p><h3>Limitations and Future Research</h3><p>This study has several limitations. First, the cross-sectional design precludes causal inferences. Future research could employ longitudinal designs to track the effects of DT over time. Second, the reliance on self-reported measures may introduce common method bias. Future studies could use objective performance data. Third, the sample was limited to U.S. SMEs, which may limit generalizability. Cross-cultural studies would be valuable.</p><p>Additionally, the qualitative phase was based on a small sample, and the findings may not be transferable to all contexts. However, the mixed-methods approach provided rich insights that complement the quantitative results.</p><p>Future research could explore other potential mediators, such as innovation capability or customer orientation, and moderators like industry type or environmental dynamism. Moreover, examining the role of leadership in driving digital transformation would be a fruitful avenue.</p><h2>Conclusion</h2><p>This study investigated the impact of digital transformation on operational efficiency in SMEs, revealing that the relationship is partially mediated by employee digital literacy and organizational agility. The findings underscore the importance of human and organizational capabilities in realizing the benefits of digitalization. For SMEs, the path to operational efficiency through digital transformation is not merely a technological endeavor but a strategic one that requires investment in people and processes. By focusing on building digital skills and fostering agility, SMEs can enhance their competitiveness and sustainability in an increasingly digital economy. Policymakers and industry associations should support these efforts through targeted programs and resources. As digital technologies continue to evolve, the ability of SMEs to adapt and thrive will depend on their capacity to integrate technology with organizational change.</p><h2>References</h2><p>Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. <i>Qualitative Research in Psychology, 3</i>(2), 77–101. https://doi.org/10.1191/1478088706qp063oa</p><p>Creswell, J. W., & Plano Clark, V. L. (2017). <i>Designing and conducting mixed methods research</i> (3rd ed.). Sage Publications.</p><p>Eller, R., Alford, P., Kallmünzer, A., & Peters, M. (2020). 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