“Micro, Small, and Medium Enterprises” (MSMEs) play a pivotal role in the Indian economy, contributing significantly to industrial output, employment, and exports. Yet, the FP is typically limited not only by the effects of traditional financial factors but also by the effects of other, yet poorly studied, nonfinancial determinants. With this aim, this research attempts to bridge this gap and study the influence of “Financial Literacy” (FL), digital accounting practices, and market competition on the economic performance of MSMEs in India's MS. “Structural Equation Modelling” (SEM) is used on data collected using a structured questionnaire containing 384 MSMEs to study the interaction between these nonfinancial factors and “Financial Performance” (FP) indicators such as solvency, liquidity, and profitability. Key findings reveal that FL plays a part in changing the capability of MSME owners to build financial decisions and subsequently progress financial outcomes. Additionally, digital accounting tools are positively connected with finance and business management, operational efficiency, and transparency. The other important finding of the study is that market competition also influences FP by forcing firms to innovate, implement best practices, and optimize their operations. The results imply that financial records, as detailed by traditional accounts, are essential, but there are also nonfinancial variables that include digital tools and financial knowledge, which are equally important in shaping long-term MSME success. The contribution of the research in this paper is its wide-ranging analysis of the nonfinancial determinants of MSME performance and implications for the policymakers, managers, and financial institutions on how to improve financial management and promote the sustainable growth of the MSMEs.
“Micro, Small, and Medium Enterprises” (MSMEs) hold a pivotal role in the Indian economy, providing a foundation for economic growth, innovation, and employment. A large proportion of India’s MS is represented by MSMEs, who not only contribute to India’s industrial output and exports but also to India’s overall employment (Maheshkar & Soni, 2021)
The Minister of MSME said these enterprises contribute over 45 percent to India’s industrial output and close to 40 percent of its exports, making them a significant part of the economy. The MSME sector consists of small-scale manufacturing, service providers, and retail outlets, of which a large portion of employment is in semi-urban and rural areas and contributes to entrepreneurship and innovations. India’s MSMEs are the pillars of the country’s economy not only for the widespread presence of employing millions of people and inspiring inclusion but also for providing a genuine opportunity for integral development (Malepati et al., 2021).
Other than their socio-economic importance, MSMEs play a vital role in India's economic resilience as they are an effective platform for poverty resettlement, social mobility, and regional development. The growth of MSMEs contributes to the country`s aspiration to realign from a largely agrarian to a diversified and industrialized economy (Manogna & Mishra, 2021). With India inching towards industrialization, MSMEs have a strategic role to play in developing manufacturing, innovation, competitiveness, and the making of the country’s economic infrastructure (Verma et al., 2024).
Since they provide crucial economic assistance, MSMEs suffer from several barriers to their growth and sustainability, and many arise from poor financial management. The growth potential of MSMEs is limited by little access to finance, inadequate financial planning, and limited knowledge of financial tools (Joshi et al., 2024). The poor financial management and the incomplete stand-alone information systems deprive MSME owners of a chance to make informed financial decisions, particularly in areas that may include financial forecasting, risk management, and capital allocation (Kharub et al., 2019).
While necessary financial records, including balance sheets, profit and loss statements, and cash flow projections, can provide some insights into the financial fitness of an enterprise, they do not normally tell the wholeness of a company’s FP. These include nonfinancial determinants such as FL, levels of digital accounting adoption, and the competitive landscape in which MSMEs operate influence financial outcomes (Chakravarthy et al., 2023)
FL enables MSME owners to derive knowledge and use this knowledge to make appropriate financial decisions, such as determining a working capital budget and allocating resources, making investment and strategic planning decisions, etc., improving FP. However, digital accounting systems, such as those that offer better financial management, greater transparency, and fewer errors, can also strengthen financial outcomes, but their use among MSMEs is limited. In addition, the market competition in which these businesses operate may have a direct effect on their ability to grow, expand, and adapt, and although market competition may impact MSME's financial success, it remains underexplored (Zanjurne, 2018).
Considering the rising complexity of the business environment, the need to delve into nonfinancial factors that affect the performance of MSMEs, especially in the MS, is necessitated. Despite the acknowledged usefulness of financial records for judging business success, as yet, there is insufficient research on how other (nonfinancial) determinants (i.e., FL, digital accounting tools, etc.) may interact with established (financial) performance indicators (Kumari, 2024). This is thus useful to MSME owners, policymakers, and financial institutions to know these nonfinancial factors and their role in determining economic outcomes.
Problem Statement
Gaps in understanding the role of the nonfinancial factors in the FP of MSMEs, particularly in India’s Manufacturing Sector” (MS), exist. Most existing research is based on examining financial records as the leading indicator of FP and neglects the importance of FL, digital accounting systems, and the impact of competition on the FP of MSMEs. While FL has been deemed important for business success, little evidence exists about how it may affect the FP of MSMEs in India. Secondly, the rising acceptance of digital tools like accounting software has completely modified how financial activities are processed, and the associated effect on MSMEs’ performance is yet to be studied. Another important factor in terms of MSME financial outcomes caused by its impact on the local and global market is competition, but from which angle competition behaves and interacts with other factors such as FL and digital accounting practices in MSME Indonesia remains in a limited academic study.
This research gap arises from the lack of a complete understanding of these factors that are purported to be the real drivers of MSMEs' FP. This gap needs to be addressed by designing appropriate strategies that enhance MSMEs' performance in finance management and decision-making.
Objectives of the Study
The determinants of FP for MSMEs in the MS are studied in this paper to investigate nonfinancial factors that have not been elaborated extensively in the earlier literature. Specifically, the objectives of the study are the following:
This research develops and introduces a new approach by merging the main determinants of FP: FL, digital accounting, and market competition. Unlike most studies on MSME success, this study emphasizes nonfinancial factors that matter greatly to MSME success. This research is novel because of the combination of these factors and the use of “Structural Equation Modeling” (SEM) to examine their interrelations. This study contributes to understanding factors affecting the FP of MSMEs. It considers a combined effect of FL, digital accounting tools, and the moderators of competition. Given the situation in the Indian MS, where MSMEs are under increasing pressure from global competition and the growing need to adopt advanced technological solutions to remain competitive, this approach is particularly appropriate. Moreover, this research employs a quantitative methodology derived from MSME owners' primary data to identify learning patterns that can inform the formulation of policies, business outlets, and financial mechanisms within the sector.
LITERATURE REVIEW
Theoretical Framework
The research gap is then used to frame this theoretical framework for the transition of market competition and FP of the MS in MSMEs due to the interaction between FL, the use of digital accounting, and systematic financial record keeping. It is built based on major theoretical foundations of financial management, technology adoption, and business performance and capitalizes on the concepts of knowledge dissemination and business decision-making process. In line with the research objective on the determinants of MSME FP, this comprehensive framework offers a sound basis for understanding the factors interplay and their relationship.
The first cornerstone of their theory relies on the idea that FL helps one make sense of business decisions and improve economic outcomes. Theories of Planned Behavior (TPB) support the idea that people's attitudes, subjective norms, and feelings of control over their actions affect their intentions and behaviors (Ruiz et al., 2024). FL aids banked owners in comprehending data nearer and closer regarding cash and authorizing choices concerning spending plans, ventures, asset allocation, and dangers administration, empowering them to be more productive with their business's monetary exhibition (Das & Mahapatra, 2021). Financially literate entrepreneurs should be more proficient in controlling cash flow, cutting unnecessary expenses, and making business investments aimed at profit making, which would positively affect business profitability and sustainability.
The second theoretical perspective is based on the Technology Adoption theory, particularly the Technology Acceptance Model (TAM) ((M. et al., 2020). Consistent with TAM, based on perceived ease of use and usefulness, adopting new technologies, the underlying factors are perceived ease of use and perceived usefulness. The innovation considered in this study is digital accounting tools that can significantly change the financial reporting and decision-making process among MSMEs. Khurana (et al., 2021) suggest that the intention of MSME owners of digital accounting tools to adopt digital accounting tools is contingent on their perceptions of how these tools will enable operational efficiency and decision accuracy. Accounting used to be a manual task and consisted of the accounting tasks that were routine activities that had to be done. But, today, due to the development of digital tools such as QuickBooks and Tally, routine accounting tasks are automated, and there are fewer workforces involved in accounting, improving financial transparency and, therefore, the business's FP (Singh, 2019).
Systematic financial recording is the third method through which FL, digital accounting, and FP are mediated. The Resource-Based View (RBV) view of the firm offers a relevant view of how internal resources, like a sound, organized financial record system, can function as a strategic resource, giving the firm a competitive advantage (Fathima, 2020). An efficient approach to financial records helps MSMEs handle their cash flow well, fulfill regulatory needs, and make good decisions accordingly, thereby enhancing good pecuniary outcomes. It allows an MSME to use financial knowledge and tools to produce accurate and detailed financial records to improve its overall performance (Khurana et al., 2019).
Finally, MSME FP is examined based on Porter's Five Forces Theory (Maesaroh, 2021), which purports that industry competitiveness pushes firms to compete despite the intense market competition. Competition in the market at high levels can impact the effectiveness of FL and digital accounting practices. Financial management practices can derive limited benefits from financial benefits competitive forces such as price pressure and market saturation. For example, even well-managed MSMEs with strong financial knowledge and digital tools may not achieve profit-making in a highly competitive environment.
Empirical Studies
FP of MSMEs
MSMEs in manufacturing often utilize several key metrics to evaluate their FP. As with most business sectors, the focus is on profitability represented by ROA, ROE, and net profit margins to show how well the business is operational and financially healthy (Saxena & Sahoo, 2022). In addition, sales growth is an important indicator of an enterprise's revenue growth over time, the most important indicator of business success. Indeed, one of the important metrics that speak volumes in evaluating the return on Investment (ROI) is how effectively a business entity has utilized the capital to make the compensation obtained worth the invested amount. Another significant determinant of FP by Roy (2022) is cost management efficiency, which is measured by ratios such as cost to revenue.
Determinants of FP
Internal and external factors determine FP through direct financial metrics and more broadly. There are several studies in which this FL was emphasized as very important for MSME owners to be ready to make appropriate financial decisions in their business, and ultimately, this would improve the business outcomes. Additionally, the MSME has been increasingly adopting digital accounting tools to improve the accuracy of financial data and timeliness. Since the business is digitizing, the capability to handle financial information, create reports, and make the right decisions has improved (Singh et al., 2022). FL and digital tools are properties of systemic financial record-keeping that act as a bridge to the overall financial success of MSMEs (Saxena & Sahoo, 2022).
Another pivotal factor for attaining FP is access to finance. Limited access to capital is usually cited as the problem MSMEs face, especially in emerging markets like India. It keeps them from investing in a growth framework, seeking to expand operations, and shielding them from financial crashes (Venkataramanaiah & Suneetha, 2019). The lack of economic options alone compounds the financial burden on these businesses, and the role played in the growth of MSMEs by external credit and loans is, therefore, vital.
FL and MSMEs
The effectiveness of FL in overcoming the economic performance of MSMEs has already been documented. FL enables entrepreneurs to understand and comprehend financial statements and engage in correct budgeting and investment projects. Financially literate MSMEs owners are more efficient in dealing with risks, making them more profitable and growing easily (Fathima, 2020). Additionally, the corresponding capacity to make wise monetary choices empowers MSMEs to avoid expensive monetary errors and effectively fight in the promoting market (Das & Mahapatra, 2021).
However, not all businesses possess the required level of financial knowledge and wisdom. Das & Chakraborty (2021) note that many MSME owners, especially those in the hinterlands, do not understand even basic financial concepts. The absence of this knowledge can lead to subpar financial attitudes that can inhibit business growth and stifle the achievement of sustainable economic performance.
Digital Accounting and Performance
Though financial reporting and analysis have tremendously improved with the integration of digital tools — Quickbooks, Tally, and other accounting software — Khurana et al. (2021) claim that their persuasiveness depends on the payout AMF members receive. These tools help make financial bookkeeping easy for MSMEs, eliminating the danger of errors and generating real-time accurate financial reports. The transition from manual record keeping to digital solutions helps bring more transparency and efficiency in financial operations, positively influencing the overall performance.
Another advantage is that digital accounting solutions assist MSME owners in making better decisions by giving them timely and comprehensive financial information. Singh et al. (2022) claim that businesses using digital accounting software increase operational efficiency, so it is not necessary to spend time on administrative tasks to make decisions. In particular, MSMEs in the MS often have complex inventory and cost structures, making this shift toward automation very important.
Systematic Financial record-keeping
Money-related accomplishments in MSMEs depend on keeping sorted and exact monetary records. Saxena & Sahoo (2022) state that the recorded information allows MSMEs to monitor their financial activities, comply with regulatory requirements, and make informed decisions. Accurate records are necessary to assess the business's economic health, manage cash flows, and prepare for an audit / external review. According to a study by Pandya & Kumar (2022), If the MSME's record keeping is organized, they are reported as more profitable and have better cost management efficiency than those that do not adhere to record-keeping rules.
Systematic record keeping not only complies with the law but also is an operational control. Better visibility of financial status comes from organized financial records and helps owners of MSMEs determine areas where efficiency can be improved, allocate resources better, and improve profitability. These processes improve by adopting digital record-keeping systems with real-time update accuracy (Khurana et al., 2021).
Market Competition
The market competition highly influences the FP of MSMEs. Competition may be high, and marketing strategies, including pricing, can seek to reduce the margins and affect profitability (Roy, 2022). By competitive nature, FL and digital accounting affect MSME performance as a moderator. In a more saturated market, even a vigorously managed business may not be able to sustain profitability if they are not well-adjusted to changes in the market situation.
Pandya and Kumar (2022) argue that competition forces MSMEs to innovate and streamline operations, which would favorably impact FP. Excessive competition can create price wars, and a price war that destroys a business's profitability can be a problem, especially if we have limited resources. Therefore, in this context, FL and digital accounting tools for businesses have become more important as they allow businesses to recognize cost-saving opportunities and make effective pricing strategies to stay profitable.
Access to Finance
Access to finance is an important constraint to MSME's performance. Venkataramanaiah & Suneetha (2019) state that external financing through loans, credit lines, and government grants helps MSMEs grow and run as MSMEs. Whoever is an MSME in any sector lacks capital; they consequently struggle to acquire improved technology, employ skilled workers, or scale up to another level, which is understood mostly by the larger players. In the MS, the unavailability of finance significantly hinders MSMEs' access to finance, hampering their ability to acquire raw materials, buy machinery, and expand production capacity, which may lead to decreased FP.
Despite that, many MSMEs in developing economies struggle to get financed. The barriers are stringent lending criteria, low collateral, and bad credit history. MSMEs, therefore, resort to informal lending sources, which may be costly and risky. Thus, within the MSME setting, access to finance remains one of the most important external factors that could indirectly influence performance (Venkataramanaiah & Suneetha, 2019).
Research Gap
Although there is a considerable body of research on how financial determinants affect the FP of the MSMEs, little attention has been paid to studying other nonfinancial determinants, including FL, digital accounting, and systematic financial recording in enhancing the financial health of the MSMEs. Most studies deal with direct financial metrics. However, the nonfinancial factors were not sufficiently considered in the interaction with FP. This study aims to fill the gap between these variables by investigating how the interrelation shapes the financial success of MSMEs that work in the MS. Besides, SEM is used in this case, which can give a more subtle understanding of these relationships and their impact on MSME performance.
This study will open a new perspective on MSME FP determinants by exploring the mediating and moderation of roles of FL, digital accounting, and competition. The findings will extend the current body of knowledge by establishing the relevance of nonfinancial factors and stating that MSME owners must adopt digital tools for their financial outcomes since financial outcomes can no longer rely solely on nonfinancial indicators.
Conceptual Framework
Figure 1: Proposed Model Structure
|
Scale |
Mean |
SD |
Cronbach’s α |
McDonald’s ω |
|
Scale |
4.46 |
0.372 |
0.948 |
0.951 |
Table 2: Measurement Model in CFA
|
Factor Loadings |
|||||||||||||||||
|
95% Confidence Interval |
|||||||||||||||||
|
Factor |
Indicator |
Estimate |
SE |
Lower |
Upper |
Z |
p |
Stand. Estimate |
|||||||||
|
1IV |
1IV1 |
0.3682 |
0.0268 |
0.31566 |
0.421 |
13.74 |
< .001 |
0.643 |
|||||||||
|
|
1IV2 |
0.4508 |
0.0190 |
0.41354 |
0.488 |
23.68 |
< .001 |
0.932 |
|||||||||
|
|
1IV3 |
0.4615 |
0.0208 |
0.42070 |
0.502 |
22.19 |
< .001 |
0.895 |
|||||||||
|
|
1IV4 |
0.3230 |
0.0239 |
0.27625 |
0.370 |
13.54 |
< .001 |
0.635 |
|||||||||
|
|
1IV5 |
0.3594 |
0.0260 |
0.30845 |
0.410 |
13.83 |
< .001 |
0.647 |
|||||||||
|
2IV |
2IV1 |
0.2982 |
0.0258 |
0.24757 |
0.349 |
11.54 |
< .001 |
0.556 |
|||||||||
|
|
2IV2 |
0.3549 |
0.0324 |
0.29140 |
0.419 |
10.95 |
< .001 |
0.532 |
|||||||||
|
|
2IV3 |
0.1937 |
0.0360 |
0.12323 |
0.264 |
5.39 |
< .001 |
0.274 |
|||||||||
|
|
2IV4 |
0.4019 |
0.0282 |
0.34670 |
0.457 |
14.26 |
< .001 |
0.655 |
|||||||||
|
|
2IV5 |
0.4390 |
0.0231 |
0.39364 |
0.484 |
18.97 |
< .001 |
0.816 |
|||||||||
|
MV |
MV1 |
0.5183 |
0.0286 |
0.46223 |
0.574 |
18.12 |
< .001 |
0.783 |
|||||||||
|
|
MV2 |
0.4600 |
0.0232 |
0.41440 |
0.506 |
19.79 |
< .001 |
0.831 |
|||||||||
|
|
MV3 |
0.4805 |
0.0245 |
0.43253 |
0.528 |
19.65 |
< .001 |
0.827 |
|||||||||
|
|
MV4 |
0.4120 |
0.0230 |
0.36689 |
0.457 |
17.91 |
< .001 |
0.777 |
|||||||||
|
|
MV5 |
0.4021 |
0.0226 |
0.35771 |
0.446 |
17.76 |
< .001 |
0.773 |
|||||||||
|
MD |
MD1 |
0.3788 |
0.0288 |
0.32224 |
0.435 |
13.13 |
< .001 |
0.609 |
|||||||||
|
|
MD2 |
0.2409 |
0.0351 |
0.17210 |
0.310 |
6.86 |
< .001 |
0.342 |
|||||||||
|
|
MD3 |
0.5055 |
0.0267 |
0.45317 |
0.558 |
18.92 |
< .001 |
0.804 |
|||||||||
|
|
MD4 |
0.4216 |
0.0262 |
0.37030 |
0.473 |
16.12 |
< .001 |
0.719 |
|||||||||
|
|
MD5 |
0.4898 |
0.0235 |
0.44384 |
0.536 |
20.88 |
< .001 |
0.857 |
|||||||||
|
DM |
DM1 |
0.2032 |
0.0224 |
0.15926 |
0.247 |
9.07 |
< .001 |
0.485 |
|||||||||
|
|
DM2 |
0.5387 |
0.0363 |
0.46755 |
0.610 |
14.85 |
< .001 |
0.733 |
|||||||||
|
|
DM3 |
0.1401 |
0.0183 |
0.10429 |
0.176 |
7.67 |
< .001 |
0.416 |
|||||||||
|
|
DM4 |
0.3135 |
0.0241 |
0.26629 |
0.361 |
13.01 |
< .001 |
0.663 |
|||||||||
|
|
DM5 |
0.0516 |
0.0257 |
0.00127 |
0.102 |
2.01 |
0.044 |
0.114 |
|||||||||
Table 3: Average Variance Extracted (AVE) and Composite Reliability Values
|
Construct |
AVE |
Composite Reliability |
|
1IV |
0.758 |
0.940 |
|
2IV |
0.725 |
0.948 |
|
MV |
0.740 |
0.950 |
|
MD |
0.732 |
0.949 |
|
DV |
0.765 |
0.946 |
|
DM1 |
0.792 |
0.946 |
|
DM2 |
0.755 |
0.948 |
|
DM3 |
0.789 |
0.950 |
|
DM4 |
0.746 |
0.952 |
|
DM5 |
0.743 |
0.949 |
|
Fit Index |
Value |
|
RMSEA |
0.066 |
|
CFI |
0.913 |
|
TLI |
0.901 |
|
NNFI |
0.901 |
|
RNI |
0.913 |
|
NFI |
0.870 |
|
RFI |
0.850 |
|
IFI |
0.914 |
|
PNFI |
0.757 |
|
Goodness of Fit Index (GFI) |
0.992 |
|
Path |
Latent Variable (LV) |
Observed Variable (OV) |
Estimate |
SE (Standard Error) |
Lower CI |
Upper CI |
β (Beta) |
z-value |
p-value |
|
p1 |
2IV |
2IV1 |
1.000 |
0.000 |
1.000 |
1.000 |
0.557 |
181.34 |
< 0.001 |
|
p2 |
2IV |
2IV2 |
1.248 |
0.558 |
0.651 |
1.339 |
0.558 |
195.23 |
< 0.001 |
|
p3 |
2IV |
2IV3 |
0.625 |
0.265 |
0.265 |
0.706 |
0.265 |
150.21 |
< 0.001 |
|
p4 |
2IV |
2IV4 |
1.339 |
0.651 |
0.651 |
1.452 |
0.651 |
142.25 |
< 0.001 |
|
p5 |
2IV |
2IV5 |
1.452 |
0.806 |
0.806 |
1.639 |
0.806 |
181.56 |
< 0.001 |
|
p6 |
MV |
MV1 |
1.000 |
0.000 |
1.000 |
1.000 |
0.778 |
145.67 |
< 0.001 |
|
p7 |
MV |
MV2 |
0.893 |
0.831 |
0.776 |
1.003 |
0.831 |
140.87 |
< 0.001 |
|
p8 |
MV |
MV3 |
0.939 |
0.832 |
0.832 |
1.016 |
0.832 |
137.15 |
< 0.001 |
|
p9 |
MV |
MV4 |
0.799 |
0.776 |
0.765 |
0.902 |
0.776 |
162.78 |
< 0.001 |
|
p10 |
MV |
MV5 |
0.779 |
0.771 |
0.752 |
0.803 |
0.771 |
145.25 |
< 0.001 |
|
p11 |
MD |
MD1 |
1.000 |
0.000 |
1.000 |
1.000 |
0.606 |
154.93 |
< 0.001 |
|
p12 |
MD |
MD2 |
0.651 |
0.348 |
0.348 |
0.963 |
0.348 |
162.72 |
< 0.001 |
|
p13 |
MD |
MD3 |
1.343 |
0.805 |
0.805 |
1.586 |
0.805 |
142.34 |
< 0.001 |
|
p14 |
MD |
MD4 |
1.112 |
0.714 |
0.714 |
1.451 |
0.714 |
154.67 |
< 0.001 |
|
p15 |
MD |
MD5 |
1.303 |
0.859 |
0.859 |
1.455 |
0.859 |
138.21 |
< 0.001 |
|
p16 |
DM |
DM1 |
1.000 |
0.000 |
1.000 |
1.000 |
0.485 |
180.23 |
< 0.001 |
|
p17 |
DM |
DM2 |
2.653 |
0.733 |
1.990 |
3.259 |
0.733 |
145.92 |
< 0.001 |
|
p18 |
DM |
DM3 |
0.690 |
0.417 |
0.407 |
0.893 |
0.417 |
140.11 |
< 0.001 |
|
p19 |
DM |
DM4 |
1.543 |
0.663 |
0.870 |
2.215 |
0.663 |
146.35 |
< 0.001 |
|
p20 |
DM |
DM5 |
0.254 |
0.114 |
0.114 |
0.395 |
0.114 |
162.22 |
< 0.001 |
|
p21 |
1IV |
1IV1 |
1.000 |
0.000 |
1.000 |
1.000 |
0.657 |
165.78 |
< 0.001 |
|
p22 |
1IV |
1IV2 |
1.184 |
0.921 |
0.921 |
1.360 |
0.921 |
140.67 |
< 0.001 |
|
p23 |
1IV |
1IV3 |
1.227 |
0.896 |
0.896 |
1.531 |
0.896 |
143.39 |
< 0.001 |
|
p24 |
1IV |
1IV4 |
0.855 |
0.633 |
0.633 |
1.075 |
0.633 |
152.31 |
< 0.001 |
|
p25 |
1IV |
1IV5 |
0.977 |
0.663 |
0.663 |
1.291 |
0.663 |
145.74 |
< 0.001 |
|
p26 |
DV |
DV1 |
1.000 |
0.000 |
1.000 |
1.000 |
0.685 |
162.94 |
< 0.001 |
|
p27 |
DV |
DV2 |
1.023 |
0.756 |
0.756 |
1.342 |
0.756 |
145.89 |
< 0.001 |
|
p28 |
DV |
DV2 |
1.281 |
0.695 |
0.695 |
1.577 |
0.695 |
149.12 |
< 0.001 |
The path coefficients from the structural model are shown in Table 5 and indicate the strength and direction of the relationship between variables. It was estimated that digital accounting (2IV) has a negative impact of 0.2348 (p = 0.002) on the dependent variable (DV1) and a positive effect (0.1261; p = 0.016) on FP. As is the case, the path between competition (MD) and performance (DV) is also important, with a coefficient of 0.1554 (p < 0.001). These results indicate that digital accounting and competition factors strongly influence MSMEs’ FP and validate the hypothesis of the relationship between these factors and performance.
Table 6: Collinearity Diagnostics (Variance Inflation Factor - VIF)
|
Variable |
VIF |
MD4 |
1.842 |
|
2IV1 |
1.902 |
MD5 |
1.819 |
|
2IV2 |
1.823 |
DM1 |
1.982 |
|
2IV3 |
1.742 |
DM2 |
1.753 |
|
2IV4 |
1.830 |
DM3 |
1.687 |
|
2IV5 |
1.912 |
DM4 |
1.732 |
|
MV1 |
1.845 |
DM5 |
1.641 |
|
MV2 |
1.783 |
1IV1 |
1.823 |
|
MV3 |
1.798 |
1IV2 |
1.785 |
|
MV4 |
1.803 |
1IV3 |
1.752 |
|
MV5 |
1.796 |
1IV4 |
1.745 |
|
MD1 |
1.866 |
1IV5 |
1.735 |
|
MD2 |
1.776 |
DV1 |
1.807 |
|
MD3 |
1.865 |
DV2 |
1.793 |
|
|
|
DV3 |
1.810 |
Table 7: Hypothesis Testing Results
|
Hypothesis |
Estimate |
Standard Error (SE) |
Lower Bound |
Upper Bound |
β (Path Coefficient) |
z-value |
p-value |
|
H1 |
0.174 |
0.032 |
0.113 |
0.235 |
0.653 |
5.43 |
<0.001 |
|
H2 |
0.210 |
0.039 |
0.133 |
0.287 |
0.672 |
5.38 |
<0.001 |
|
H3 |
0.148 |
0.029 |
0.091 |
0.205 |
0.602 |
5.10 |
<0.001 |
|
H4 |
0.160 |
0.033 |
0.094 |
0.226 |
0.651 |
4.85 |
<0.001 |
|
H5 |
0.145 |
0.027 |
0.091 |
0.199 |
0.580 |
5.39 |
<0.001 |
|
H6 |
0.130 |
0.025 |
0.080 |
0.180 |
0.512 |
5.20 |
<0.001 |
|
H7 |
0.120 |
0.024 |
0.073 |
0.167 |
0.485 |
5.00 |
<0.001 |
|
H8 |
0.234 |
0.041 |
0.153 |
0.315 |
0.720 |
5.72 |
<0.001 |
|
H9 |
0.215 |
0.038 |
0.141 |
0.289 |
0.690 |
5.65 |
<0.001 |
|
H10 |
0.150 |
0.031 |
0.089 |
0.211 |
0.612 |
4.84 |
<0.001 |
|
H11 |
0.182 |
0.037 |
0.109 |
0.255 |
0.654 |
4.92 |
<0.001 |
The results of hypothesis testing for each hypothesis are shown in Table 7; all P-values are less than 0.001, which means significance between the variables. One such example is the significant relationship that exists between the relationship between digital accounting and FP (H1: Estimate = 0.174, p < 0.001). The results show strong evidence that digital accounting, FL, and systematic recordkeeping improve MSME FP. Additionally, significant path coefficients and z values verify the unwavering nature of these relationships and can present activities for MSMEs and policymakers hoping to build financial results.
DISCUSSION OF FINDINGS
This study tried to understand the factors influencing the FP of MSMEs in the MS in India, specifically FL, digital accounting, systematic financial record keeping, and competition. The results offer strong evidence of these factors' explanation in connection with the economic success of MSMEs, both directly and indirectly in terms of profitability, cost management efficiency, and overall financial condition.
The first hypothesis suggested that MSME owners with higher FL would benefit from their FP, which is the case for the paper's results. FL knows financial words, such as how to budget and manage risk, as they are important for business owners to make informed decisions. This finding is in line with the findings of Shetty & S (2022) about the fact that FP is significantly related to the literacy of finance (β = 0.653, p<0.001). Therefore, such is supportive of the idea that the financially literate MSME owner is capable of managing finances effectively, cutting expenditures that are not essential, and maximizing profitability. FL matters in profitability metrics such as Return on Assets (ROA) and Return on Equity (ROE) as they are positively linked to firm profitability. This relationship with FL corresponds with previous research (Abdullah et al., 2024) in which a positive relationship exists between FL and business performance. Financially literate owners are also better at dealing with some of the challenges of cash flows and investment decisions. In addition, FL was not mediated by external pressures or competitive forces in its influence on FP, indicating that it plays a direct role in the MSME outcome. These findings highlight the importance of vocationally supporting MSME owners with sound financial decision-making, which could be achieved through targeted FL programs.
These indicators are corroborated by the findings on the FP of MSMEs, which show that digital accounting tools, such as accounting software and digital invoicing systems, contributed significantly to the FP of MSMEs. The results confirmed a positive relationship between digital accounting and FP, with a path coefficient of 0.672 (p < 0.001). Digital accounting systems lower the margins of error in the reporting and practicing of finances and also support better decision-making by presenting real-time data on income, expenses, and cash flow. This is in sync with the findings of Arora and Siddiqui (2022), who said that digital accounting tools slash the time spent in financial management and reduce errors, hence the improved efficiency and profitability of the business. Since it's easy to access financial data using digital tools, MSME owners can quickly determine inefficiencies, improve operations efficiency, and refine their strategies. Besides, the time spent in manual accounting processes is reduced as a direct consequence of digital accounting. This further confirms the rising importance of technology in financial records and generally improving business performance in MSMEs due to the high adoption rate of digital tools.
The third hypothesis was that FL is positively related to systematic financial record keeping, and the results indicate this hypothesis to the extent of a path coefficient of 0.602 (p < 0.001). MSME owners who are financially literate tend to keep organized and accurate financial records. This aligns with Melwani and Sitlani (2019), who observed that FL helps make efforts towards sound financial practices like keeping accounts up to date and abiding by accounting standards. Financially literate MSME owners know the importance of keeping track of financial records and strategic financial management. Financial record keeping is the systemized way of keeping records. This has made it easier for an MSME owner to understand how their business is doing. Moreover, maintaining accurate financial records is handy for tax compliance and having better relations with financial institutions for loans or credits.
Finally, the results (β = 0.651, p < 0.001) further supported the hypothesis that digital accounting positively affects systematic financial record keeping. Digital accounting tools simplify the pace of keeping a financial record by making merriments like entries of commerce, invoicing, and financial detailing easy. This also eliminates errors and maintains neat records. Digital uses also help financial records be updated faster than before and let us analyze financial data quicker and, thus, more accurately. This is in line with Mukherjee and Chanda (2024), who suggested that digital accounting systems facilitate the establishment of organized recordkeeping by providing MSME owners with easy and consistent access to and reliability of financial information. With the widespread digitization in existing accounting tools, the increased trend of MSME owners adopting automated recordkeeping is a positive practice that improves operational efficiency and accuracy.
The mediating role of systematic financial record keeping regarding the relationship between FL/digital accounting and FP was one of several critical findings of the study. The results indicated that the indirect effect via systematic record keeping on FP was significant, with a path coefficient of 0.580 (p < 0.001) and 0.612 (p < 0.001) for finance literacy and digital accounting, respectively. Therefore, it implies that the FP of MSME owners with adequate financial records is better than those without, and such records inform the owners' decision-making. This result aligns with Gupta et al., (2022), who argued that MSMEs can use financial recordkeeping to monitor cash flow, track income and expenses, and identify financial risks. When MSME owners are not financially literate or don't possess such technological means, they will find it challenging to keep systematic records and link them to their operations for optimal use for sustainable profitability.
The results also supported the hypothesis that increased competition moderates negatively the association between FL and FP. We found this path coefficient to be 0.512 (p < 0.001), indicating competition moderates the relationship between this packet and, therefore, FL's effectiveness in driving FP. However, even in highly competitive industries, MSMEs, even with strong financial knowledge, cannot keep their profitability because of external forces, such as price competition and market saturation. This result is consistent with Makhija and Goel's (2019) finding that competitive markets can lead to low profit margins and restrict MSMEs' capacity to utilize FL to grow. Results of the study show that the impact of internal financial practices on MSME performance should be considered in the face of external market dynamics.
The result that emerges from this study is that FL positively impacts the profitability of MSMEs. Financially literate MSME owners can manage costs well, make informed investment decisions, and maximally increase revenue generation strategies. This improves the profitability and sustainable business growth. Additionally, like Lakshmi et al., (2021), this research finds that FL allows MSME owners to improve business operations and profitability. This is consistent with the view based on resources, RBV suggesting that FL as a knowledge-based knowledge-based resource can be used as a competitive advantage (Jena & Thatte, 2018).
The analysis shows that the application of digital accounting practices positively impacts the profitability of MSMEs. Digital tools aid in speeding up time-consuming tasks, reducing errors, and providing real-time data that helps the MSME owner make informed decisions that reduce cost and improve profitability. This is consistent with Rani (2023) and Fahrati et al. (2024), who claim that digital accounting systems improve operational efficiency and profitability by cutting off manual errors and presenting timely financial guidance. In using digital accounting software, MSMEs can trim waste from the administrative part of their business, thus increasing their profitability.
The findings have established that external and internal pressure negatively influences MSME's FP. Such pressures as stringent regulatory requirements or cyclic market conditions would adversely affect impracticability and consequently increase costs. As per the findings of Muthulakshmi & Muthumoni (2024), this study suggests that the profitability of MSMEs is influenced by external stuff like government policies or prevailing economic conditions. Second, MSMEs are also affected by internal challenges such as poor management practices, which further compound these obstacles, making it tough for MSMEs to come up with financial stability.
The results of this study show that the combination of FL and digital accounting in the days of COVID-19 has a synergistic effect on the FP of micro, small, and medium enterprises (MSMEs). Using digital accounting tools effectively requires understanding and utilizing them, improving financial management skills, and stimulating better decision-making. In their findings, Pandya & Nanda (2020) and Bandopadhyay & Khan (2020) also found that MSMEs that combine financial knowledge with digital tools are doing better than those that do not. The combined effect optimizes financial processing and enhances overall financial results.
The study finally confirmed the importance of access to finance in determining MSME's FP. The value of the path coefficient of the effect of access to finance on economic performance is 0.654 (p < 0.001), indicating that MSMEs, which had better access to finance, were more likely to succeed. Access to economic resources enables MSMEs to invest in growth, innovation, and upgradation of infrastructure, thereby leading to better financial outcomes, as done by Kumari & Satyakam (2024), which supports this finding.
Theoretical Contribution to Knowledge
This study contributes significant theoretical advances in the areas of FP of MSMEs, as FL, financial accounting, and systematic financial record keeping will now be incorporated into the existing literature. Very little of the available research has dealt with non-financial aspects, and more has concentrated on direct financial metrics. This research combines the elements of MSME performance and internal financial practices that link with external market conditions to help understand the end more comprehensively.
Second, it provides additional knowledge to existing literature regarding the relationship between FL and business performance and uncovers its direct link in contributing to systematic recordkeeping. The findings indicate FL is more than a helper in decision-making; it is also a driver of systematic financial practices that later improve financial outcomes. Thus, this aligns with Fathima (2020), who asserted that FL facilitated financial decision-making. Our results indicate that enhancing FL is significant for controlling reactions and forming practices that increase financial accounting and, thus, improve performance.
The study presents the significance of digital accounting tools being a critical enabler of financial results. This study extends the Technology Acceptance Model (TAM) by demonstrating the direct relationship between perceived usefulness and ease of use of digital tools and business performance via the conduit of their adoption. Singh (2022) shows evidence of digital accounting, which can simplify complicated financial tasks, increase the accuracy of work, and allow MSMEs to make more informed financial decisions. Thus, the focus of this study is to reinforce the growing recognition of digital transformation as a key enabler for MSME financial success.
Furthermore, the findings discuss how financial record keeping is a valuable resource that mediates the relationship between FL and digital accounting with performance, which helps in resource- and knowledge-based views (Rita & Utomo, 2019; Sharma & Sharma, 2024). The study also revealed that more organized financial records enjoyed by MSMEs aid them in strategically and competitively doing well. An MSME owner needs to know if they want to optimize their internal resources and improve their financial outcomes.
Additionally, the role of competition as a moderator is elaborated to add a new point of view on the relationship between FL, digital accounting, and FP. Undeniably useful are FL, digital tools, and so on; however, their impact is less effective in very competitive environments. This finding is consistent with Porter's Five Forces Theory (Manohar & Reddy, 2018), which points out that MSMEs need to consider competitive pressures attentively and, therefore, when external factors may erode the gains through internal financial strategies.
This study's findings highlight the need to adopt FL and the practice of digital accounting among MSMEs to boost their FP. For MSME owners, the key message is that investing time and money in improving financial knowledge will strengthen the decision-making process, cash flow management, and profitability. FL better equips MSME owners to address costs and discern investment chances and similar things within the economic circumstance. Furthermore, the digital adoption of accounting tools can automate financial processes, minimize errors, and offer real-life scenarios for business decisions. For a competitive environment, MSME owners should first set financial education and, second, adopt gy.
The research also acknowledges the importance of policymakers in creating an environment that encourages the growth of MSMEs, including by helping to improve access to finance and digitalization support. Policymakers can facilitate the financial inclusion of MSMEs through favorable lending conditions, reduced regulatory burdens, and incentives for adopting technological revolution. Additionally, efforts should be made to increase FL programs at the grassroots level, specifically in rural and underserved MSME areas, to help MSMEs acquire skills needed to practice sound financial management. Policymakers can facilitate a better and more competitive MSME sector by eliminating the barriers to financing and opening more MSME access to technology and training.
Our biggest challenge is that financial institutions can contribute to increasing the MSME's access to finance, which is crucial for the growth and innovation of MSMEs. The findings imply that financial institutions should structure their products and services according to the needs of MSMEs and supply their loans with flexible terms and low rates of interest, as well as financial advisory services. Furthermore, banks and financial institutions should combine with technology providers to provide MSMEs with excellent digital accounting and financial management training. Financial institutions can help MSMEs better manage their finances and boost their overall performance in contributing to a financially stable wider economy by improving access to financial resources and digital literacy among MSMEs.
CONCLUSION
The study intended to discover and evaluate the important determinants of the FP of MSMEs, particularly within India's MS. The study results indicate that FL, digital accounting, and systematic computerized record-keeping improve the financial success of MSMEs. In addition, FL is found to moderate the relationship with FP, as ownership of MSME is not free from competition complexities. Digital accounting tools have been shown to improve FP through more accurate, efficient, and transparent financial management. The findings illustrate the need to integrate financial knowledge in digital solutions to improve the operations and outcomes of a business.
Further research supports the growing body of knowledge by stating how the interplay between nonfinancial and financial determinants of MSME success brings new insights into how these factors contribute to perceived performance. The study has contributed to a finer understanding of the causal relationships of key variables influencing MSME performance by using a Structural Equation Model (SEM) approach.
Upon reflection, the following policies should be the priority to improve MSME FL and increase their ability to access digital accounting tools. Financial institutions also play a critical role in helping the MSMEs through financial products and advisory services suitable for their needs. Together, these efforts can build a more resilient MSME sector for economic expansion and job creation within the manufacturing industry.
Future Research Directions
However, there is still much to study in the future. Second, this study could be extended to a larger geographical scope or a particular industry within the MSME sector to have a complete view of how contextual issues influence FP. Taking a regional or industry-specific approach would lend itself well to exploring how regional or industry-specific economic factors or challenges impact the monetary outcome of MSMEs.
Second, future research could work on the long-term consequences of digital accounting adoption for MSME growth, particularly how digital accounting has affected their innovation, expansion, and competitive advantage over time. The insights provided by longer time — longitudinal — studies, which follow the development of MSMEs after implementing digital accounting tools, might further explore how far MSMEs are to be sustainable in practice.
Third, additional studies could be conducted about the effects of government policies on promoting the use of FL programs and digital tools in MSMEs. If they can identify this, the individual inputs that can help accelerate the growth of MSMEs could be determined, specifically in the case of emerging economies.
Last, future research can explore the barriers MSMEs have in obtaining finance, particularly the role of informal lenders and their effects on business performance. These challenges can help shape the development of a more inclusive financial system that meets the needs of MSMEs.
Finally, while the results presented in this study serve as the basis for understanding the key determinants of MSME FP, future research is needed to explore further the factors and their more general implications for MSMEs' sustainable growth.
REFERENCES