A SYSTEMATIC REVIEW AND META-ANALYSIS OF ACCOUNTING INFORMATION SYSTEMS ADOPTION EFFECTS ON FIRM PERFORMANCE: OPERATIONAL EFFICIENCY, FINANCIAL OUTCOMES, AND INVENTORY MANAGEMENT IMPROVEMENTS IN MANUFACTURING AND SERVICE SECTORS

116 International Journal of Social and Educational Innovation Vol. 12, Issue 24, 2025 ISSN (print): 2392 – 6252 eISSN (online): 2393 – 0373 DOI: 10.5281/zenodo.17361140 A SYSTEMATIC REVIEW AND META-ANALYSIS OF ACCOUNTING INFORMATION SYSTEMS ADOPTION EFFECTS ON FIRM PERFORMANCE: OPERATIONAL EFFICIENCY, FINANCIAL OUTCOMES, AND INVENTORY MANAGEMENT IMPROVEMENTS IN MANUFACTURING AND SERVICE SECTORS Emmanuel Imuede OYASOR Department of Accounting Science, Walter Sisulu University, South Africa [email protected] Abstract Accounting Information Systems (AIS) have become integral to modern firms aiming to enhance financial and operational performance. This meta-analytic review synthesizes evidence from 52 empirical studies conducted between 2015 and 2025 to quantitatively assess the impact of AIS adoption on firm performance. Using standardized effect size computation and rigorous publication bias assessment, the study employs random-effects meta-regression to examine how AIS adoption, firm size, and regional context influence performance outcomes. Results reveal a significant positive effect of AIS adoption on firm performance (effect size d = 0.423, p < 0.001), with larger firms and those in developed regions experiencing greater benefits. Sensitivity and robustness analyses confirm the stability of these findings across model specifications and subgroups. These insights underscore the critical role of AIS as a strategic resource and highlight the need for tailored adoption strategies that consider firm and contextual factors. Policy recommendations emphasize digital infrastructure support, regulatory enhancements, and capacity building to facilitate broader and more effective AIS implementation, especially in developing economies. Keywords: Accounting Information Systems, Firm Performance, Meta-Analysis, AIS Adoption, Digital Transformation, Organizational Capabilities. JEL Codes: M41, C83, O33, L25. International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 117 1. Introduction The adoption of Accounting Information Systems (AIS) has become increasingly integral to organizational success in contemporary business environments characterized by rapid technological advancements and competitive pressures. AIS, defined as integrated systems that collect, process, and report financial and operational information, is pivotal for enhancing managerial decision-making, compliance, and operational efficiency (Wang et al., 2021). The proliferation of AIS adoption across diverse industries is driven by the promise of improved accuracy, timeliness, and relevance of accounting information, which in turn is anticipated to positively impact firm performance outcomes (Almuraqab & Noble, 2020). Despite extensive empirical inquiry, the magnitude and consistency of AIS’s effect on firm performance remain contested, necessitating an aggregate synthesis of extant evidence. Empirical studies investigating the relationship between AIS adoption and firm performance have produced mixed findings, with some reporting significant positive impacts on financial metrics such as profitability and return on assets (ROA), and operational indicators including process efficiency and cost reductions (Chen et al., 2022; Nwankpa & Roumani, 2021). Conversely, other investigations have documented negligible or even negative effects, often attributing such discrepancies to contextual contingencies like organizational size, sectoral characteristics, or AIS implementation quality (Mohiuddin & Su, 2020). This inconsistency underscores the importance of systematically examining moderating variables and methodological heterogeneity that may influence observed effect sizes, which individual studies rarely address comprehensively. Meta-analysis, as a quantitative synthesis technique, offers a robust methodological approach to reconcile divergent empirical findings by aggregating effect sizes from multiple studies and assessing the overall impact of AIS adoption on firm performance (Borenstein et al., 2021). This technique enables the identification of patterns that transcend idiosyncratic study designs and sample variations, while simultaneously evaluating publication bias and the potential inflation of effects due to selective reporting (Hunter & Schmidt, 2015). Applying metaanalytic procedures to AIS literature can therefore provide clarity on the true magnitude of AIS effects and enhance the theoretical understanding of how accounting technologies translate into performance improvements. Beyond estimating the average effect size, meta-analysis facilitates the examination of moderators such as firm size, industry sector, and geographic region, which are critical in understanding the conditions under which AIS adoption yields superior financial and International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 118 operational outcomes (Liu & Zhang, 2023). Additionally, investigating methodological moderators including study design (cross-sectional vs. longitudinal), measurement of performance, and AIS adoption stage can reveal important nuances that inform both scholars and practitioners. Addressing these moderators is vital for tailoring AIS implementation strategies that maximize value creation and ensure sustainable competitive advantage. Furthermore, assessing publication bias is essential in meta-analytic reviews to ensure that the synthesized evidence is not skewed by an overrepresentation of studies reporting significant positive results (Egger et al., 2020). Techniques such as funnel plot asymmetry tests and trimand-fill methods provide diagnostic tools to detect and correct for such biases, thereby enhancing the validity and reliability of conclusions drawn about AIS impact on firm performance. By rigorously evaluating publication bias, this meta-analysis aims to present an unbiased estimation that more accurately reflects the broader research landscape. In light of the above considerations, this study undertakes a comprehensive meta-analytic review to quantify the aggregate effect of AIS adoption on firm financial and operational performance. It synthesizes empirical evidence published between 2020 and 2025, applies rigorous effect size computation, and systematically assesses publication bias and moderator effects. The findings are expected to contribute substantively to accounting and information systems literature, guiding both academic inquiry and practical decision-making regarding AIS investments and implementation strategies. 2. Materials 2.1. Theoretical Literature The theoretical underpinnings of AIS adoption and their impact on firm performance draw heavily from multiple complementary frameworks within information systems, strategic management, and organizational theory. At the core, the Technology-OrganizationEnvironment (TOE) framework has been extensively applied to explain organizational adoption of AIS by accounting for technological readiness, organizational capabilities, and environmental pressures (Tornatzky, Fleischer, & Chakrabarti, 2015). The TOE framework postulates that the alignment between these three dimensions determines the successful assimilation of AIS, which subsequently influences operational efficiency and financial outcomes (Bohorquez & Esteves, 2020). This multidimensional perspective recognizes that AIS adoption is not merely a technological decision but a strategic organizational transformation. International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 119 Complementing the TOE framework, the Resource-Based View (RBV) provides an essential theoretical lens to elucidate how AIS can serve as a valuable, rare, inimitable, and nonsubstitutable (VRIN) resource, thus conferring competitive advantage and enhancing firm performance (Barney, 2018). According to RBV, firms that effectively integrate AIS within their internal capabilities and business processes can achieve superior operational efficiencies and more accurate financial reporting, which translates into improved profitability and market valuation (Huang & Hu, 2019). Empirical investigations affirm that AIS adoption enhances a firm’s dynamic capabilities, such as real-time data processing and strategic decision-making agility, which are critical in volatile business environments (Zheng, Wang, & McLean, 2021). Another pivotal theoretical foundation is the Information Processing Theory (IPT), which views AIS as a mechanism to reduce information asymmetry and uncertainty by improving the quality, timeliness, and relevance of accounting information (Galbraith, 2014; updated applications in AIS research by Lin & Chen, 2020). IPT suggests that firms with higher volumes and complexities of transactions require robust AIS to process information efficiently, thus enabling better coordination and control. The integration of IPT with socio-technical systems theory further underscores the importance of aligning AIS technology with organizational structures and human factors, emphasizing that the mere implementation of AIS without adequate organizational change is unlikely to yield optimal performance benefits (Lyytinen & Newman, 2020). Institutional theory also provides critical insights into AIS adoption decisions, emphasizing the role of coercive, mimetic, and normative pressures from regulators, industry standards, and professional norms (DiMaggio & Powell, 1983; recent adaptations by Khatri & Tsang, 2021). Firms in regulated sectors or those facing stringent compliance requirements are more likely to adopt advanced AIS to meet external expectations, which indirectly enhances firm legitimacy and financial performance by mitigating compliance risks (Chen, Yang, & Hsu, 2019). This theoretical stance accounts for variations in AIS adoption across geographic and industry contexts, highlighting institutional environments as key determinants beyond internal capabilities. The Diffusion of Innovation Theory (DOI) also remains influential in AIS research, focusing on the stages of awareness, interest, evaluation, trial, and adoption of new accounting technologies (Rogers, 2003; empirical extensions in accounting by Shaikh & Karjaluoto, 2020). DOI highlights the importance of communication channels, perceived relative advantage, compatibility, complexity, trialability, and observability as factors shaping adoption International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 120 rates and success. The theory suggests that AIS innovations offering clear performance advantages, ease of integration, and compatibility with existing workflows are more readily adopted and positively impact firm outcomes (Lee, Kim, & Lee, 2022). 2.2. Empirical Review Empirical research has examined the relationship between AIS adoption and firm performance, producing a rich and diverse set of findings that highlight both the potential benefits and contingencies influencing this relationship. Most quantitative studies, employing crosssectional and longitudinal designs across various sectors and geographies, have documented a generally positive association between AIS implementation and key financial performance indicators, such as return on assets (ROA), return on equity (ROE), and net profit margin (Chen et al., 2017; Ismail & King, 2019). The emerging consensus underscores the importance of viewing AIS not merely as a technological tool but as an integrated strategic resource that requires complementary capabilities and supportive institutional environments for maximal performance enhancement. Chen et al. (2017), in a study of 350 manufacturing firms in China, found that firms adopting advanced AIS experienced a significant increase in operational efficiency and financial performance metrics over a three-year period. Similarly, Ismail and King (2019) demonstrated in Malaysian SMEs that AIS adoption correlates positively with profitability and liquidity ratios, emphasizing the system’s role in enhancing accounting accuracy and financial control. Despite these consistent findings, several studies highlight significant heterogeneity in AIS impact depending on firm size, industry, and implementation maturity. Large enterprises tend to benefit more from AIS adoption due to their greater capacity to invest in complex systems and complementary resources, whereas smaller firms often face constraints related to financial resources and technical expertise (Nguyen et al., 2020; Singh & Srivastava, 2022). For instance, Nguyen et al. (2020) reported that AIS adoption had a statistically significant positive effect on firm performance only in medium and large-sized firms, while effects were marginal or insignificant in micro and small enterprises. This evidence aligns with organizational capability theories, suggesting that absorptive capacity and IT readiness are critical moderators of AIS success (Huang & Hu, 2019; Wang et al., 2022). Industry-specific factors also mediate the AIS-performance link. Studies in highly regulated sectors such as banking and healthcare often report stronger AIS benefits due to stringent compliance requirements and higher demand for reliable financial information (Zhang & Zhao, International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 121 2018; Mohiuddin & Su, 2020). For example, Zhang and Zhao (2018) conducted a panel data analysis of 120 banks across Asia, concluding that AIS adoption significantly improved operational risk management and financial reporting quality, thereby enhancing overall firm valuation. Conversely, research within less regulated industries, such as retail and services, suggests that AIS benefits may be more pronounced in operational performance dimensions rather than financial metrics (Alqaisi et al., 2021). Moreover, the integration of AIS with other enterprise systems such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) appears to amplify performance outcomes. Meta-analytic findings by Liu and Zhang (2023) demonstrate that firms that align AIS adoption with broader digital transformation initiatives exhibit higher improvements in both financial and operational performance, including supply chain efficiencies and customer satisfaction. This synergy effect is supported by studies emphasizing the strategic role of AIS as part of a comprehensive digital ecosystem rather than a standalone system (Kumar & Maheshwari, 2021; Wang et al., 2021). Notwithstanding the positive evidence, several studies caution against assuming automatic performance gains from AIS adoption. Implementation quality, user competence, and organizational change management emerge as crucial factors determining success. For instance, Mohiuddin and Su (2020) found that firms with high AIS customization and robust training programs realized significantly higher benefits, whereas those with poor change management experienced disruptions and performance declines during the initial adoption phase. Similarly, empirical research by Nwankpa and Roumani (2021) emphasizes that employee engagement and management support strongly moderate the AIS-performance relationship, highlighting the socio-technical nature of system adoption. Publication bias and methodological variability also complicate the interpretation of findings in the AIS literature. Recent meta-analyses such as by Chen et al. (2022) reveal an asymmetry favoring positive results, suggesting underreporting of null or negative outcomes. Studies employing rigorous longitudinal designs and objective financial metrics tend to report more conservative estimates of AIS effects compared to cross-sectional or survey-based research (Ismail & King, 2019; Liu & Zhang, 2023). This indicates the necessity for comprehensive meta-analytic approaches to obtain unbiased and generalizable conclusions. International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 122 2.3 Hypotheses Development The first research objective focuses on examining the direct impact of AIS adoption on firm financial performance. Prior empirical studies suggest that the adoption of advanced AIS enables firms to improve the accuracy and timeliness of financial reporting, reduce errors, and enhance decision-making processes, which collectively contribute to superior financial outcomes (Ismail & King, 2019; Chen et al., 2017; Zhang & Zhao, 2018). AIS facilitates realtime access to financial data, enabling managers to make informed strategic decisions that enhance profitability, return on assets, and overall shareholder value (Nguyen et al., 2020; Mohiuddin & Su, 2020). Furthermore, the integration of AIS with other management systems promotes efficient resource allocation and cost control, which are critical drivers of financial performance (Wang et al., 2021; Kumar & Maheshwari, 2021). Based on this empirical foundation, the following hypothesis is proposed: H1: Accounting Information Systems adoption has a positive effect on firm financial performance. The second research objective explores the influence of AIS adoption on operational performance dimensions such as efficiency, productivity, and process effectiveness. Empirical investigations demonstrate that AIS implementation streamlines accounting processes, automates routine tasks, and reduces manual interventions, which collectively enhance operational efficiency (Alqaisi et al., 2021; Singh & Srivastava, 2022). The automation and integration capabilities of AIS support faster transaction processing and improved internal controls, thereby reducing operational risks and increasing accuracy (Liu & Zhang, 2023; Huang & Hu, 2019). Additionally, firms that leverage AIS alongside complementary technologies, including ERP and data analytics tools, exhibit higher levels of process optimization and supply chain responsiveness (Wang et al., 2022; Chen et al., 2022). These empirical insights suggest that AIS adoption contributes to operational improvements, motivating the second hypothesis: H2: Accounting Information Systems adoption positively influences firm operational performance. The third research objective examines the moderating role of organizational and contextual factors on the relationship between AIS adoption and firm performance. The literature emphasizes that organizational readiness, including IT capabilities, user competence, and management support, critically conditions the extent to which AIS adoption translates into performance gains (Nwankpa & Roumani, 2021; Huang & Hu, 2019). For instance, firms with International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 123 robust training programs and change management strategies experience smoother implementation and higher system utilization, enhancing both financial and operational outcomes (Mohiuddin & Su, 2020; Liu & Zhang, 2023). Furthermore, environmental factors such as industry regulation and firm size moderate this relationship, as regulated industries demand more sophisticated AIS for compliance and reporting, while larger firms typically have greater resources to invest in system customization and integration (Nguyen et al., 2020; Zhang & Zhao, 2018). The final hypothesis set is formulated as: H3a: Organizational factors positively moderate the relationship between AIS adoption and firm financial performance. H3b: Organizational factors positively moderate the relationship between AIS adoption and firm operational performance. 2.4. Theoretical Framework The theoretical foundation of this study draws primarily from the Resource-Based View (RBV) theory, the Technology Acceptance Model (TAM), and the Contingency Theory to explain the relationship between AIS adoption and firm performance. The RBV posits that firms achieve sustainable competitive advantage by acquiring and effectively utilizing valuable, rare, inimitable, and non-substitutable resources (Barney, 1991). AIS, as a strategic organizational resource, enhances information processing capabilities and decision-making quality, which are critical drivers of firm performance (Wang et al., 2021; Huang & Hu, 2019). Mathematically, the RBV framework can be conceptualized as: 𝑃𝑖= 𝑓(𝑅𝑖,𝐶𝑖,𝐼𝑖,𝑁𝑖) (1) where 𝑃𝑖 denotes firm performance, and 𝑅𝑖, 𝐶𝑖, 𝐼𝑖, and 𝑁𝑖 represent the resources that are valuable, rare, inimitable, and non-substitutable respectively for firm 𝑖. AIS adoption enhances these resource dimensions, thus positively influencing 𝑃𝑖. Complementing RBV, the Technology Acceptance Model (TAM) explains user acceptance of AIS as a function of perceived usefulness (PU) and perceived ease of use (PEOU), which directly influence behavioral intention (BI) to use technology (Davis, 1989; Venkatesh & Bala, 2008). These constructs provide insight into how organizational members embrace AIS, which mediates the system’s impact on performance. TAM can be expressed through a system of equations: 𝐵𝐼 = 𝛼1𝑃𝑈 +𝛼2𝑃𝐸𝑂𝑈 +𝜀1 (2) 𝑃𝑈 = 𝛽1𝑃𝐸𝑂𝑈+𝜀2 (3) International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 124 where 𝐵𝐼 denotes behavioral intention to adopt AIS, 𝛼1, 𝛼2, and 𝛽1 are parameters estimating the strength of the relationships, and 𝜀1, 𝜀2 are error terms. Higher behavioral intention leads to increased AIS usage, thereby improving firm performance. Contingency Theory highlights that the effectiveness of AIS adoption on firm performance depends on contextual variables such as organizational size, structure, and environmental uncertainty (Donaldson, 2001; Nwankpa & Roumani, 2021). This theory asserts that there is no “one-size-fits-all” approach; rather, optimal performance outcomes arise when AIS systems are aligned with these contingencies. This relationship can be modeled as an interaction term: 𝑃𝑖= 𝛾0+𝛾1𝐴𝐼𝑆𝑖+𝛾2𝐶𝑖+𝛾3(𝐴𝐼𝑆𝑖×𝐶𝑖)+𝜀𝑖 (4) where 𝑃𝑖 is firm performance, 𝐴𝐼𝑆𝑖 denotes AIS adoption level, 𝐶𝑖 represents contingency factors, 𝛾 parameters capture the respective effects, and 𝜀𝑖 is the stochastic error term. The interaction term (𝐴𝐼𝑆𝑖×𝐶𝑖) reflects the moderating influence of contingencies on the AISperformance linkage. By integrating these three theoretical lenses, the study proposes a comprehensive framework that captures the direct, mediated, and moderated pathways through which AIS adoption impacts firm performance. This synthesis aligns with recent empirical research that underscores the multidimensional nature of AIS benefits contingent on both technological acceptance and organizational context (Ismail & King, 2019; Mohiuddin & Su, 2020; Liu & Zhang, 2023). Thus, this theoretical framework guides the meta-analytic investigation by explicating the mechanisms and boundary conditions affecting the AIS-performance relationship. 3. Methodology This study employs a quantitative meta-analytic approach to synthesize empirical evidence on the effect of AIS adoption on firm financial and operational performance. The methodology involves systematic data collection from extant studies, rigorous sample selection criteria, formulation of empirical models with effect size computations, and robust estimation and sensitivity analyses to ensure reliability and validity of results. Data for this meta-analysis was collected from peer-reviewed empirical studies published between 2015 and 2025 that examined the relationship between AIS adoption and firm performance indicators. The selection criteria included studies published in journals indexed by Scopus or Web of Science, with available statistical information such as correlation coefficients, regression coefficients, or standardized mean differences required for effect size International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 131 International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 132 Source: Author (2025) 4.2. Hypotheses Evaluation The first hypothesis, which posited a positive relationship between AIS adoption and firm performance, is strongly supported by the meta-analytic evidence. The significant and positive coefficient for AIS adoption level confirms that firms investing in more advanced and integrated AIS realize superior financial and operational outcomes. This finding echoes International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 133 contemporary studies emphasizing that AIS enhances information quality, decision-making speed, and process efficiency, thereby improving firm competitiveness and profitability (Chen & Wang, 2023; Wang et al., 2021). This relationship is consistent with transaction cost economics, where improved information systems reduce monitoring and coordination costs, leading to better resource allocation and higher firm value (Williamson, 2020). The hypothesis that AIS adoption drives firm performance is robust and aligns with established theoretical frameworks and empirical results. The second hypothesis examined the moderating role of firm size in the AIS-performance nexus. The positive and statistically significant coefficient on firm size suggests that larger firms benefit more substantially from AIS adoption, consistent with the premise that such firms have more complex operational needs and greater resource availability to deploy and exploit advanced AIS capabilities effectively (Nguyen & Tran, 2022; Chen et al., 2022). This observation is supported by dynamic capabilities theory, which suggests that organizational size confers advantages in the accumulation and orchestration of IT-related resources, enhancing adaptability and innovation capacity (Eisenhardt & Martin, 2021). The positive moderation implies that economies of scale and scope in technology investments enable larger firms to better capitalize on AIS benefits, validating the hypothesis concerning firm size as a key contextual factor. Regarding the third hypothesis, which postulated that regional economic context moderates the impact of AIS adoption on performance, the meta-regression results indicate a statistically significant effect of region, with firms in developed economies experiencing larger gains from AIS adoption than those in developing regions. This differential effect underscores the importance of external environmental factors such as infrastructure quality, regulatory frameworks, and human capital availability in maximizing the returns from technology investments (Al-Mamun, Ibrahim, & Hassan, 2023; Müller & Krcmar, 2020). Institutional theory and the Technology-Organization-Environment (TOE) framework explain this outcome by highlighting that conducive environments facilitate AIS assimilation and value extraction, whereas institutional voids in developing countries may hinder system integration and utilization (Tornatzky et al., 2020). The hypothesis concerning regional moderation is empirically validated and conceptually sound. The overall explanatory power of the meta-regression model (R2 = 0.468) indicates that nearly half of the variance in observed AIS effect sizes across studies is accounted for by AIS adoption level, firm size, and regional context combined. This level of explanatory strength is International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 134 noteworthy in meta-analytic research, reflecting the substantive influence of these factors on the AIS-performance relationship (Borenstein et al., 2021). Nevertheless, the presence of moderate heterogeneity (I2 ≈ 55%) suggests that additional moderating variables may also play critical roles and warrant future investigation (Santos & Flores, 2024). These findings provide actionable insights for managers and policymakers. For firms, especially larger ones in developed markets, prioritizing investments in sophisticated AIS can yield competitive advantages by enhancing information flows, operational agility, and compliance capabilities (Chen & Wang, 2023). Policymakers in developing economies should focus on improving technological infrastructure and regulatory support to create environments conducive to AIS adoption and diffusion (Al-Mamun et al., 2023). The robust positive effect of AIS across heterogeneous contexts suggests that digital transformation strategies remain a vital lever for firm growth and productivity in a globalized economy. The hypotheses proposed in this meta-analysis receive strong empirical confirmation and theoretical backing. AIS adoption unequivocally improves firm performance, moderated by firm size and regional development. Future research should explore nuanced factors, including the role of digital leadership, cybersecurity, and cloud-based accounting systems, to deepen understanding of AIS impacts amid ongoing technological evolution. 4.3. Policy Implications The empirical confirmation of a significant positive effect of AIS adoption on firm performance holds important policy implications for governments and regulatory bodies aiming to foster economic growth and competitiveness. Firstly, policymakers should consider incentivizing AIS investments, particularly among small and medium-sized enterprises (SMEs) that often face resource constraints in technology adoption (Al-Mamun, Ibrahim, & Hassan, 2023). Subsidies, tax credits, or public-private partnerships designed to lower the financial barriers of AIS procurement can accelerate diffusion, thereby improving transparency, operational efficiency, and ultimately firm-level productivity in both developed and developing economies (Chen & Wang, 2023). Such measures align with the broader digital transformation agendas that many countries are actively pursuing to build resilient and innovative economic ecosystems (Nguyen & Tran, 2022). Secondly, the moderating role of firm size in leveraging AIS benefits suggests that targeted support for scaling organizational capacities could enhance technology assimilation and impact. Larger firms benefit disproportionately due to their ability to integrate complex International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 135 information systems into broader business processes (Chen, Liu, & Huang, 2022). Policymakers should therefore encourage capacity-building initiatives, including managerial training programs and consultancy services, to help smaller firms develop the necessary organizational competencies to maximize AIS value (Müller & Krcmar, 2020). This approach is economically justified by the principle of complementarities, where technology investments require parallel development in human capital and organizational routines to fully materialize performance gains (Eisenhardt & Martin, 2021). Thirdly, the observed regional disparities in AIS returns highlight the critical role of national infrastructure and institutional frameworks in technology adoption and utilization. In developing countries, inadequate digital infrastructure, regulatory uncertainty, and skill shortages can impede AIS effectiveness (Al-Mamun et al., 2023). Thus, policy measures should prioritize improving ICT infrastructure, strengthening data protection laws, and enhancing educational curricula to foster a digitally literate workforce (Wang, Li, & Li, 2021). Investment in robust institutional environments reduces uncertainty and transaction costs, creating a more conducive ecosystem for digital innovations to thrive, consistent with institutional economic theory (Tornatzky et al., 2020). Regulatory agencies should promote standards for AIS interoperability and cybersecurity to build trust and encourage wider adoption. As AIS becomes more integrated with cloud computing and artificial intelligence, ensuring data security and privacy is paramount to prevent operational risks and reputational damage (Santos & Flores, 2024). Clear guidelines and enforcement mechanisms will reduce perceived risks and encourage firms to invest confidently in advanced systems, which in turn can lead to stronger financial performance and compliance with international reporting standards (Chen & Wang, 2023). Such policies also have positive spillover effects on the broader business environment by promoting transparency and accountability. Policymakers should also foster collaboration between academia, industry, and government to support research and development in AIS innovations tailored to local business contexts. Continuous innovation is vital to adapt AIS functionalities to evolving market demands, regulatory requirements, and emerging technologies such as blockchain and big data analytics (Nguyen & Tran, 2022). Supporting pilot programs, knowledge exchange platforms, and innovation hubs can bridge the gap between theoretical advancements and practical applications, enhancing the overall competitiveness of firms at the national and international levels (Borenstein et al., 2021). International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 136 Finally, as digital transformation accelerates, policymakers must adopt a holistic and inclusive approach to technology adoption, ensuring that disadvantaged groups such as SMEs in rural areas, women-led firms, and informal businesses are not left behind. Addressing the digital divide requires integrating AIS adoption policies with broader socio-economic development programs that improve access to finance, education, and infrastructure (Al-Mamun et al., 2023). By fostering an inclusive digital economy, governments can ensure equitable growth, reduce income disparities, and build resilient business ecosystems that contribute sustainably to economic development (Eisenhardt & Martin, 2021). 5. Conclusions This meta-analytic review consolidates empirical evidence on the relationship between AIS adoption and firm performance, demonstrating a statistically significant and positive effect across diverse contexts. The pooled effect size of approximately 0.423 underscores that firms embracing AIS benefit from enhanced financial and operational outcomes, confirming earlier theoretical postulates about the strategic role of digital information technologies in improving decision-making and efficiency (Chen & Wang, 2023; Wang et al., 2021). The study elucidates the moderating influence of firm size and regional context, revealing that larger firms and those in developed economies realize greater gains, likely due to superior infrastructure, managerial capabilities, and resource availability (Al-Mamun et al., 2023; Müller & Krcmar, 2020). The methodological rigor, including publication bias assessments and sensitivity analyses, assures the robustness of these findings. This comprehensive synthesis advances the literature by quantitatively integrating fragmented empirical results and providing a nuanced understanding of contingencies influencing AIS effectiveness. Several actionable recommendations emerge for policymakers, practitioners, and researchers. Policymakers should prioritize programs that lower barriers to AIS adoption, particularly among SMEs and firms in developing regions, through financial incentives, infrastructure development, and digital literacy campaigns (Nguyen & Tran, 2022; Al-Mamun et al., 2023). Firms are advised to adopt a holistic approach that combines AIS implementation with concurrent investments in organizational capabilities and workforce training to maximize system benefits, consistent with the complementarity theory (Eisenhardt & Martin, 2021; Chen et al., 2022). Regulatory frameworks should be enhanced to promote data security, system interoperability, and accounting practices, which are critical for fostering trust and long-term adoption (Santos & Flores, 2024). Future research should build on this meta-analytic International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 137 foundation by exploring the impacts of emerging technologies integrated into AIS and investigate firm-specific factors like culture and innovation readiness that may further moderate AIS outcomes (Borenstein et al., 2021). Moreover, firms and policymakers should emphasize the development of tailored AIS solutions that accommodate the diverse operational scales and contextual challenges of different industries and regions. Customization of AIS can bridge the gap between technology capabilities and firm-specific needs, enhancing user acceptance and maximizing return on investment (Chen & Wang, 2023; Müller & Krcmar, 2020). This approach is particularly relevant in dynamic and resource-constrained environments, where one-size-fits-all solutions often fail to generate expected performance improvements. Public-private partnerships could be instrumental in fostering innovation ecosystems that accelerate AIS customization and diffusion, by leveraging shared knowledge and resources across sectors (Wang, Li, & Li, 2021). Additionally, firms should integrate AIS adoption with broader digital transformation strategies, ensuring alignment with organizational goals, continuous performance monitoring, and iterative system improvements to sustain competitive advantage in rapidly evolving markets (Al-Mamun et al., 2023). The meta-analysis relies on published studies, potentially introducing publication bias despite statistical tests indicating minimal impact; unpublished or grey literature might contain relevant but divergent findings (Borenstein et al., 2021). Moreover, the heterogeneity in AIS conceptualization and performance metrics across studies limits direct comparability, highlighting a need for standardized measurement frameworks in future empirical work (Chen & Wang, 2023). Additionally, the moderating variables examined were limited to firm size and region; other contextual factors such as industry sector, organizational culture, and technological environment merit systematic investigation. Longitudinal studies are particularly needed to unpack the dynamic effects and causality between AIS adoption and firm performance over time (Nguyen & Tran, 2022). Finally, qualitative research could complement quantitative findings by elucidating mechanisms through which AIS adoption influences firm outcomes in varied organizational and institutional contexts. International Journal of Social and Educational Innovation (IJSEIro) Volume 12/ Issue 24/ 2025 138 References Al-Mamun, A., Ibrahim, M. D., & Hassan, M. K. (2023). 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