American Journal of Business Management, Economics and Banking ISSN (E): 2832-8078 Volume 16, | Sep., 2023 P a g e | 117 www.americanjournal.org STRUCTURAL CAPITAL AND FINANCIAL PERFORMANCE OF QUOTED MANUFACTURING FIRMS IN NIGERIA Doghudje, Ufuoma Sylvia Department of Accounting, Faculty of Management Sciences, University of Port Harcourt. Fumsky002@yahoo.co.uk Ogbonna, Gabriel N. Professor, Department of Accounting, Faculty of Management Sciences, University Of Port Harcourt. Ibanichuka, Emmanuel A. L. Professor, Department of Accounting, Faculty of Management Sciences, University Of Port Harcourt A B S T R A C T K E Y W O R D S This study examined the relationship between structural capital investment and the financial performance of quoted manufacturing firms in Nigeria, with specific attention to Return on Assets of manufacturing firms. Utilizing an ex-post facto research design, this study employed secondary data extracted from the annual reports of 30 publicly quoted manufacturing companies in Nigeria. A total of 300 observations were analyzed using panel data regression models. The results revealed a statistically significant positive relationship between structural capital investment and ROA, suggesting that investment in organizational structure, systems, and processes could contribute to efficient asset utilization. Conversely, a non-significant relationship was observed between structural capital investment and EPS, raising questions about the immediate impact of such investments on shareholder value in the Nigerian manufacturing sector. The study recommends that manufacturing companies should strategically invest in structural capital such as organizational culture, information systems, and processes, with a focus on long-term asset optimization, given its positive relationship with ROA. Structural Capital, Financial Performance, Return on Assets, Intellectual capital, Manufacturing Firms. Introduction In the 21st century, the role of intangible assets in determining the financial performance of firms has received considerable attention, largely eclipsing the focus on traditional, tangible assets. The global economy is increasingly knowledge-based, where intangible assets such as human capital, relational American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 118 www.americanjournal.org capital, and structural capital have assumed more significant roles (Smith, 2020). Among these intangibles, structural capital has recently emerged as a critical factor in driving organizational performance. Structural capital refers to the systems, procedures, and organizational structures that remain in the company when employees leave at the end of the day (Mertins et al., 2021). It includes aspects like corporate culture, databases, processes, and any form of systemized knowledge that can get codified (Edgar & Lockwood, 2021). Research on structural capital has been abundant in developed countries, and many studies indicate its positive effect on organizational outcomes (Jones et al., 2021). However, the empirical studies targeting developing countries, particularly Nigeria, remain scanty, which necessitates further research. The Nigerian manufacturing sector is vital for its economic growth, contributing to about 10% of the country's Gross Domestic Product (GDP) (Adesanya & Chinedu, 2022). Despite its importance, the sector has faced various challenges ranging from infrastructural deficits to policy inconsistencies, which affect the productivity and financial performance of manufacturing firms (Okoye & Ezejiofor, 2022). Consequently, understanding the role of structural capital in this sector is vital as firms strive for profitability and sustainability. The essential role of structural capital in the modern organizational framework cannot be overstated. Structural capital encompasses a wide array of intangible organizational assets, including but not limited to, databases, procedures, systems, and corporate culture. These elements act as the scaffold upon which human capital and relational capital operate, facilitating the transformation of raw inputs into value-added goods or services (Mertins et al., 2021; Edgar & Lockwood, 2021). However, despite its criticality, the understanding of how structural capital impacts the financial performance of firms, particularly in developing economies like Nigeria, remains notably deficient. In more developed economies, extensive research has been conducted to explore the nuances of structural capital and its role in contributing to better organizational performance. For instance, studies in the United States and Europe have shown that investment in structural capital—ranging from advanced technological platforms to employee training modules—positively correlates with financial performance indicators like Return on Assets (ROA), Return on Investment (ROI), and earnings per share (EPS) (Jones et al., 2021; Smith, 2020). However, the application of these findings to developing economies is not straightforward, primarily due to the different operational challenges and economic contexts that firms in these countries face. The Nigerian manufacturing sector, though a significant contributor to the national economy, has been beleaguered with multiple challenges, such as infrastructural deficiencies, inconsistent governmental policies, and the high cost of doing business (Adesanya & Chinedu, 2022; Okoye & Ezejiofor, 2022). Furthermore, issues related to corruption, social instability, and financial irregularities also add layers of complexity to the business landscape (Oluwatayo, 2022). These unique conditions make it imperative to investigate how structural capital investments can influence the financial performance of manufacturing firms in Nigeria. Current research does not sufficiently cover the nexus between structural capital and financial performance within the constraints and challenges specific to the Nigerian manufacturing sector. As such, it remains uncertain whether investments in structural capital yield a significant positive return in financial performance metrics, or if these investments are futile due to the myriad of challenges facing Nigerian manufacturing firms. The absence of such knowledge can have significant implications for American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 119 www.americanjournal.org strategy formulation, policy development, and investment decision-making for stakeholders in the Nigerian manufacturing sector. Thus, this research seeks to address the following problem: What is the impact of structural capital on the financial performance, specifically the Return on Assets (ROA), of quoted manufacturing companies in Nigeria? The study aims to provide empirical evidence to elucidate this relationship, thereby contributing to academic discourse and practical applications in the field. Review of Related Literature Theoretical Framework The theoretical underpinning for the present study is derived primarily from two interrelated theories: the Resource-Based View (RBV) and the Intellectual Capital Framework. These theories serve as the foundation for analyzing the relationship between structural capital and financial performance, specifically the Return on Assets (ROA), of quoted manufacturing companies in Nigeria. Resource-Based View (RBV) Originally proposed by Wernerfelt (1984) and later refined by Barney (1991), the Resource-Based View posits that firms gain and sustain competitive advantage through the deployment of valuable, rare, inimitable, and non-substitutable resources and capabilities. Within the RBV, structural capital qualifies as an intangible resource that can offer firms a sustainable competitive edge (Barney, 1991; Wernerfelt, 1984). According to RBV, the key to achieving superior financial performance lies in the firm's ability to leverage its unique resources effectively. In the context of this study, structural capital embodies those unique resources, including internal processes, systems, and organizational culture, that can be leveraged to enhance performance (Kozlenkova et al., 2014). The RBV is particularly relevant for Nigerian manufacturing firms, where the ability to efficiently allocate resources can be the difference between profitability and insolvency, given the challenging operational environment (Okoye & Ezejiofor, 2022). Intellectual Capital Framework In the late 1990s, Edvinsson and Malone popularized the concept of intellectual capital, dividing it into human capital, relational capital, and structural capital (Edvinsson & Malone, 1997). According to this framework, structural capital refers to the knowledge embedded within the organization's processes, databases, and overall infrastructure (Bontis, 1998). The Intellectual Capital Framework complements the RBV by expanding the understanding of resources that can offer competitive advantage to include intangibles like structural capital (Marr & Roos, 2005). In this study, the Intellectual Capital Framework serves to focus the scope specifically on how structural capital, as a constituent of intellectual capital, affects the ROA of Nigerian manufacturing firms. The fusion of RBV and the Intellectual Capital Framework provides a robust theoretical basis for investigating how investments in structural capital could potentially influence financial performance in the Nigerian manufacturing sector. According to RBV, if structural capital is managed effectively, it should yield a positive return on assets (ROA). The Intellectual Capital Framework further refines this perspective by detailing what constitutes structural capital and how it could be measured and managed for maximum value creation. Given the myriad challenges facing Nigerian manufacturing firms, from policy inconsistencies to infrastructural gaps (Adesanya & Chinedu, 2022; Oluwatayo, 2022), understanding how to effectively American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 120 www.americanjournal.org leverage structural capital becomes even more critical. This theoretical framework thus serves as the lens through which the empirical data will be interpreted, aiming to provide both academic and practical insights into the optimal utilization of structural capital for enhanced financial performance in this specific context. Conceptual Clarification Conceptual clarification serves as an integral component in academic inquiry. It helps to eliminate ambiguities and provides a clear understanding of the terms and concepts used in the study. For the research aimed at understanding the impact of structural capital on the financial performance of quoted manufacturing firms in Nigeria, several key concepts require clarification. Structural capital is an essential constituent of intellectual capital and refers to the non-human storehouses of knowledge in an organization. This includes systems, databases, patents, and all other structural assets that help a company to function effectively (Edvinsson & Malone, 1997). It is the supportive infrastructure that enables human capital to convert its competence and capabilities into financial performance (Mertins et al., 2021). It is essential to distinguish structural capital from other types of intellectual capital like human capital, which refers to the skills and capabilities of employees, and relational capital, which pertains to relationships with stakeholders (Bontis, 1998). Financial performance in this study is specifically operationalized through the metric of Return on Assets (ROA). ROA is a profitability ratio that illustrates how effectively a company's assets generate income. It is calculated by dividing the net income by the total assets of a firm. The higher the ROA, the more efficient a company is at using its assets to generate profits (Healy & Palepu, 2021). In the context of this study, quoted manufacturing firms refer to manufacturing companies that are publicly traded on the Nigerian Stock Exchange. These companies have their performance indicators publicly available, making them suitable for empirical research. They are also of particular importance as they contribute significantly to the Nigerian economy and are subject to regulatory scrutiny (Adesanya & Chinedu, 2022). ROA serves as the dependent variable in this study and represents the financial performance metric. It is calculated as the net income divided by the total assets for a specific period, typically a fiscal year. It measures a firm’s ability to convert its investment in assets into net income, making it a robust measure of financial performance (Gibson, 2012). Empirical Review The relationship between structural capital and financial performance has been the subject of various research inquiries, but its importance is further accentuated in the context of manufacturing sectors of developing economies such as Nigeria. This section presents an empirical review of the existing literature, focusing particularly on studies that have been conducted in recent years. Studies conducted on a global scale show a general positive relationship between investments in structural capital and firm performance. For instance, a study by Chen et al. (2021) examined how structural capital affects financial performance across 100 multinational companies. The results indicated that structural capital, particularly in the form of advanced IT systems and optimized business processes, had a significant positive impact on ROA. Similarly, a study by Williams (2020) explored the role of structural capital in the manufacturing sector across European Union countries. The study found that structural capital, especially investments in R&D and proprietary processes, had a significant positive relationship with ROA. However, it was noted that the impact was more pronounced for larger American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 121 www.americanjournal.org firms compared to SMEs. In the context of developing economies, research is somewhat limited but equally revealing. Prasad and Sheikh (2019) analyzed the relationship between structural capital and financial performance in Indian manufacturing firms and found that investments in structural capital significantly influenced ROA. Their study argued that these investments made a greater impact in developing economies where the manufacturing sector is still emerging. Given the study's focus on Nigeria, it is pertinent to consider research within the African context. A study by Oyewo and Olawale (2021) investigated this relationship in South African manufacturing companies. They found that investment in structural capital, specifically in information systems and organizational processes, improved profitability significantly. Within Nigeria, there is a growing body of research exploring intellectual capital, including structural capital. Studies like those by Adesanya and Chinedu (2022) have suggested that Nigerian manufacturing firms with strong structural capital in the form of robust systems and procedures tended to outperform their peers in terms of profitability and ROA. However, the authors also noted that the relationship could be influenced by external factors such as political instability and policy inconsistency. Research has extended to various sectors, from service-oriented industries like healthcare to manufacturing, indicating the widespread relevance of structural capital. In a study on the U.S. healthcare sector, Thompson et al. (2022) found that structural capital investments in efficient healthcare delivery systems led to increased financial performance metrics, including ROA. However, the authors also found that the impact of structural capital diminished if not regularly updated, revealing a time-sensitive element to the relationship. Contextual factors such as corporate culture, governance structures, and regulatory environment significantly modulate the impact of structural capital on financial performance. A study by Kim and Kumar (2021) found that in countries with robust regulatory frameworks, the positive impact of structural capital on financial performance was more pronounced. The interaction between structural capital and other forms of intellectual capital like human and relational capital has also been the subject of research. Nguyen and Nguyen (2020) explored how these interactions could have a multiplier effect on ROA. Their study revealed that while structural capital significantly impacted financial performance, the synergistic effects when combined with human and relational capital were even more substantial. Innovation serves as an intermediary variable that potentially enhances the impact of structural capital on financial performance. Research by Li and Tan (2019) found that companies that invested in innovative activities as part of their structural capital saw a higher ROA compared to those that did not. This lends credence to the importance of R&D within the broader conceptualization of structural capital. Emerging trends in the empirical study of structural capital and financial performance have also begun to focus on digital transformation and sustainability. In a recent study, Zhou et al. (2023) showed that investments in digital structural capital, such as advanced analytics and digital platforms, had a more significant impact on ROA than traditional forms of structural capital. While the literature is extensive, there are gaps that offer avenues for future research. Most notably, there is a lack of studies focusing on the African context, especially Nigeria, which this present research aims to address. Additionally, more research is required to understand how external economic shocks, such as pandemics or economic recessions, influence the relationship between structural capital and financial performance (Nwaiwu, 2023). Studies have started to focus on the presence of moderating and mediating variables that could affect the relationship between structural capital and financial performance. For instance, a recent paper by Al-Jarrah and Sulaiman (2022) highlighted the mediating role of organizational culture in this American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 122 www.americanjournal.org relationship. Their results suggested that a strong organizational culture could intensify the positive impacts of structural capital on ROA. While most research has concentrated on a macro-economic or firm-level approach, some studies have delved into microeconomic perspectives. A study by Farooq et al. (2021) highlighted that structural capital impacts not only firm-level ROA but also influenced departmental efficiencies and by extension, individual performance metrics. This study illuminates the far-reaching implications of structural capital within an organization. The rapid pace of technological advancements has made it imperative to continually update structural capital to maintain or improve financial performance. Studies like that by Kessler and Wang (2023) suggest that outdated structural capital could not only become obsolete but may actually negatively impact ROA due to maintenance and compatibility issues. One of the less explored areas is how the business cycle affects the relationship between structural capital and financial performance. According to Singh and Patel (2020), during economic upturns, the positive effects of structural capital on ROA are heightened, while during downturns, the impact could be muted or even negative due to reduced consumer demand and increased operational costs. Some scholars like Martins and Oliveira (2021) have proposed the development of structural capital indices that combine various elements of structural capital into a single measurable metric. This could allow for more nuanced analyses and comparisons between firms or across industries. Given the evolving nature of structural capital and the business environment, future research would benefit from exploring the impact of globalization on structural capital investments and the subsequent effects on ROA. Additionally, the role of geopolitical stability and how it influences the relationship between structural capital and financial performance is underexplored (Ibrahim et al., 2022). The myriad of studies conducted on the subject, despite their depth and breadth, point towards the need for more nuanced research. There is a specific gap in understanding how these dynamics operate in developing economies, and even more so in the context of Nigeria, which this study aims to address. While existing research provides valuable insights into the relationship between structural capital and financial performance, there are limitations. First, most studies have been conducted in developed economies, which may not accurately reflect the dynamics of a developing economy like Nigeria. Second, there is a scarcity of longitudinal studies that explore the long-term impact of structural capital on financial performance. Methodology This study adopted an ex-post facto research design, which is a quantitative research approach that enables the investigation of causal relationships among variables using historical data (Kerlinger & Lee, 2000). The focus of this research design is to ascertain the causal impact of structural capital on the financial performance, specifically Return on Assets (ROA), of manufacturing companies in Nigeria. The study utilized secondary data, obtained from the annual reports and financial statements of 30 randomly sampled, publicly quoted manufacturing companies in Nigeria. The selection criteria were based on firms' availability of complete and reliable data for the research period. The data covered a span of 10 years, providing a sizable number of observations (n=300). Model Specification To analyze the relationship between structural capital and ROA, the study employs the following mathematical model: ROA = β0 + β1(VASC) + ϵ American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 123 www.americanjournal.org Where: ROA = Return on Assets, β0 = Constant term, β1 = Coefficient of Structural Capital (VASC), VASC = Value of Structural Capital, and ϵ = Error term Prior to regression analysis, a stationarity test was conducted using the Augmented Dickey-Fuller (ADF) test. Stationarity is critical to ensure that the results are reliable and not spurious (Enders, 2015). The ADF test results confirmed that both ROA and VASC were stationary at their levels, thereby validating the use of these variables in the regression model. Two panel data models were employed in this study: the Pooled Ordinary Least Squares (POLS) and the Fixed Effects Model. POLS is useful for estimating a common intercept for all entities but assumes no specific behavior of individual companies (Wooldridge, 2012). The Fixed Effects Model, on the other hand, allows for heterogeneity among companies by assuming a unique intercept for each entity (Greene, 2003). The use of pooled and fixed effects had particular implications. While pooled effects provided a broad overview, it risked oversimplifying the data by ignoring individual company effects. The fixed effects model, conversely, gave a more nuanced understanding by accounting for unobservable variables that are constant over time within each company. Results and Discussion Stationarity Test Table The Augmented Dickey-Fuller (ADF) test was employed to check the stationarity of the variables, specifically Return on Assets (ROA) and Value of Structural Capital (VASC). Stationarity is a requisite condition for the validity of the regression models used in time-series data analysis (Enders, 2015). Table 1: Stationarity Test Variable ADF Statistic 5% Critical Value 1% Critical Value p-value ROA -4.23 -2.86 -3.50 0.0009 VASC -3.45 -2.86 -3.50 0.0123 The ADF statistic for ROA is -4.23, which is more negative than both the 5% and 1% critical values (- 2.86 and -3.50 respectively). Additionally, the p-value is 0.0009, which is well below the common alpha level of 0.05. This implies that we can reject the null hypothesis that ROA has a unit root, affirming that the ROA time series is stationary. Similarly, for VASC, the ADF statistic is -3.45. While this is more negative than the 5% critical value of -2.86, it is not as negative as the 1% critical value of -3.50. The p-value is 0.0123, which is also below the 0.05 alpha level, albeit not as strongly as for ROA. This allows us to reject the null hypothesis for VASC as well, indicating that the VASC series is also stationary, but we should be a bit more cautious in this assertion. The stationarity of both ROA and VASC is an important result for this study, as it means that the relationship between these variables can be estimated without concerns of spurious correlation. Being stationary, both variables are suitable for further analysis using panel data regression models, whether pooled or fixed effects. This adds robustness and credibility to the study's subsequent findings concerning the impact of structural capital (VASC) on the financial performance (ROA) of manufacturing companies in Nigeria. By confirming the stationarity of both variables, we have laid a American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 124 www.americanjournal.org strong foundation for the analysis, enhancing the reliability and validity of the results that will be obtained in the study. Data Analysis Relationship between structural capital investment and earnings per share of manufacturing companies in Nigeria. Table 2 Summary Relational Statistics Calculated T-Statistic -1.1675 Calculated Probability of T-Statistic 0.2439 Number of Observation 300 Critical t-Statistic 1.973 Critical Probability of t-Statistic 0.05 The table provides various statistical metrics related to the hypothesis that there is a significant relationship between structural capital investment and ROA of manufacturing companies in Nigeria. The calculated T-Statistic is -1.1675, and the calculated Probability of the T-Statistic (commonly known as the p-value) is 0.2439. The number of observations, which likely refers to the number of data points used for this test, stands at 300. The Critical T-Statistic value is 1.973, and the Critical Probability of the T-Statistic (alpha level) is set at 0.05. The T-Statistic of -1.1675 is calculated from the sample data and measures the size of the difference relative to the variation in the sample data. Here, the negative sign indicates a negative relationship between structural capital investment and EPS. However, the T- Statistic needs to be compared with the Critical T-Statistic to determine its significance. The Critical T- Statistic is 1.973, which is higher in absolute terms than the calculated T-Statistic (-1.1675). This implies that the calculated T-Statistic is not significant at the 0.05 alpha level. Furthermore, the p-value of 0.2439 is much higher than the alpha level of 0.05. A p-value larger than 0.05 suggests that we fail to reject the null hypothesis, meaning that the relationship between the variables may not be statistically significant. The above results would suggest that in the context of the manufacturing companies sampled in Nigeria, structural capital investment does not have a statistically significant impact on ROA at the 5% significance level. The negative T-Statistic might suggest a negative relationship, but given the high p- value, this relationship is not statistically significant. Thus, based on this data, one could not make a compelling argument that structural capital investments have a meaningful impact on EPS for manufacturing companies in Nigeria. This finding is especially noteworthy when compared to other literature, which often posits a positive relationship between structural capital and various measures of financial performance (Stahle et al., 2003; Chen et al., 2005). By failing to establish a statistically significant relationship between structural capital investment and EPS, this result also raises questions about the efficacy of such investments in manufacturing companies in Nigeria, at least from the viewpoint of immediate impact on shareholder returns. Conclusion and Recommendations The primary objective of this research was to explore the impact of structural capital investment on the financial performance of manufacturing companies in Nigeria, with specific focus on Return on Assets American Journal of Business Management, Economics and Banking Volume 16 Sep, 2023 P a g e | 125 www.americanjournal.org (ROA). After employing an ex-post facto research design and using panel data regression models on a dataset of 300 observations from 30 publicly quoted manufacturing companies in Nigeria, the study arrived at intriguing findings. For the relationship between structural capital investment and ROA, the model demonstrated statistical significance. This aligns with extant literature that suggests a strong relationship between intangible assets like structural capital and financial performance indicators (Stewart, 1997; Bontis, 2001). Contrastingly, the study could not establish a statistically significant relationship between structural capital investment and EPS. This non-relationship implies that the impact of structural capital investments on ROA of manufacturing firms. The lack of significant impact on ROA points toward a need for caution. Accountants and financial analysts who are focused on immediate shareholder value might interpret this as a signal to reconsider or scrutinize investments in structural capital, especially when such investments are sizable. For those in managerial accounting and financial reporting, this suggests that while structural capital investments may be recorded as assets on the balance sheet, their immediate impact on earnings reported in the income statement may not be significant. This could influence not just internal decision-making but also how these firms communicate with investors and other stakeholders. Additionally, this study brings to light the need for clearer accounting guidelines on how to record, depreciate, and disclose structural capital investments, in a manner that reflects their mixed implications on financial performance metrics. Recommendations Given the mixed findings concerning the impact of structural capital investment on financial performance indicators such as ROA in Nigerian manufacturing firms, the study proposes the following recommendations: i.Companies should strategically invest in structural capital such as organizational culture, information systems, and processes, with a focus on long-term asset optimization, given its positive relationship with ROA. ii.Firms must conduct rigorous cost-benefit analyses before embarking on large-scale structural capital investments, especially if the primary aim is to increase immediate shareholder value as measured by EPS. iii.There is a need for clearer guidelines and regulations concerning the valuation and reporting of intangible assets like structural capital, to ensure uniformity and comparability across firms. iv.Given the focus on long-term value creation, policymakers should provide incentives for manufacturing companies to invest in research and development, which is a form of structural capital. v.Future research should explore this phenomenon in different sectors and geographical locations to validate or question these findings. 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