Article Type : Research Article
Authors : Nathaniel A Ime and Rachael E Abusomwan
Keywords : Lean accounting metrics; Efficiency performance; Asset utilization efficiency; Profitability performance; Net profit margin
This paper analyzed how lean accounting metrics affect
efficiency and profitability of manufacturing companies listed on the Nigeria
stock exchange. The sample size of the study will consist of fifty-one (51)
manufacturing firms that are listed in the Nigerian Exchange Group as at 31
December 2024. Through the sample size calculation method by Taro Yamane, a
sample size of forty-five (45) firms was obtained, out of which thirty-nine
firms that had all the required and consistent data between the years 2012-2024
were ultimately analyzed. The research design and method are ex-post facto and
the panel least squares regression techniques. Employee productivity ratio,
customer lead time, direct value stream cost, and lean efficiency ratio are
proxies of lean accounting practices whereas asset utilization efficiency and
net profit margin are proxies of efficiency and profitability respectively. The
results indicate that lean accounting metrics cause significant effect on firm
performance, and these effects differ in efficiency and profitability aspects.
The ratio of productivity among the employees and direct value stream cost
contribute greatly to the efficiency of asset utilization whereas lean
efficiency ratio has a high positive effect on profitability. There is an
inconsequential effect of customer lead time in the two models. The results
further indicate that firm size and leverage condition the
efficiency–profitability outcomes of lean practices. This underscores a dynamic
efficiency–profitability nexus in which asset utilization efficiency acts as a
foundational mechanism linking lean accounting practices to improved profit
margins in Nigerian listed manufacturing firms. The indications suggest that
lean accounting adds more reliably to efficiency than to profitability, which
confirms that enhancing the operations are the most basic and instant results
of the adoption of lean. The research concludes that the proper use of lean
accounting practices improves the efficiency and profitability of the listed
manufacturing companies in Nigeria. Out of the foregoing, this paper recommends
the adoption of lean accounting in internal reporting frameworks and the option
of aligning the decisions to finance with the goals of efficiency to prevent a
decline in profitability due to high levels of leverage.
The
manufacturing companies with high competition and low-cost sensitivity are
increasingly turning to accounting systems that go beyond the conventional cost
accumulation that would enable them to operate efficiently and add value to the
company. The concept of lean accounting has come up as a reaction to this
requirement; it focuses on value stream orientation, waste removal, and timely
information on performance that makes accounting activities consistent with
lean philosophy of production. The applicability of lean accounting in
enhancing efficiency and profitability in manufacturing economies like Nigeria
where firms are forced to deal with the unpredictability of input prices,
infrastructural bottlenecks and stiff market competition has become more pronounced.
Even with the increasing popularity of lean practices, most of the
manufacturing companies in Nigeria are still using traditional accounting that
hides process-level inefficiencies and costs information misrepresentation [1].
The conventional absorption costing systems tend to generally allocate the
overheads randomly, undermining the management understanding of the
value-adding and non-value-adding activities. Consequently, companies can be
faced with suboptimal utilisation of the available assets, exaggerated cost of
production, and deteriorating profit margins, despite engaging in operational
improvement. Lean accounting attempts to resolve these weaknesses through
embracing value stream costing, simplified measures of performance and efficiency
oriented financial measures which are more reflective of operational realities.
Primarily, the empirical data in Nigeria tend to reinforce the performance
advantages of lean activities, especially the ones related to the reduction of
lead time, cost efficiency, and responsiveness. According to recent findings,
the dynamics of asset utilisation, cash returns, and value creation in
manufacturing companies are improved through the enhancement of delivery cycle
time and customer lead time [2,3]. The other lines of the literature also
emphasize the application of direct value stream costing in lowering the cost
of sales and increasing the profitability by providing better cost transparency
[4-6]. Likewise, there is an indication that an increased ratio of the lean
efficiency is correlated with better profitability and value-based performance
metrics [6-11].
Despite
these revelations, the current literature is still in bits. Most studies tend
to study either operational efficiency or profitability individually and
without a specific study of their relationship within the same analytical
framework. Previous studies tend to use small sectoral samples, or use old
data, or they failed to use control variables, questioning the generalizability
and bias through omitted variables. Although direct value stream costing and
lean efficiency ratios are two lean accounting tools that are discussed more
and more, they are not often combined to interpret the results of both
efficiency and profitability among listed manufacturing companies. This paper
fills these gaps by investigating the effect of lean accounting on the performance
(efficiency and profitability) of listed manufacturing companies in Nigeria.
Placing lean accounting in the context of an efficiency-profitability nexus
model, the study offers a comprehensive evaluation of the way, in which the
lean-oriented accounting is eventually converted into enhanced asset
utilisation and profit performance. This study has a threefold contribution.
First, it expands the lean accounting literature in that it incorporates
efficiency and profitability performance in one empirical design. Second, it
offers recent data on listed manufacturing companies in Nigeria, which enhances
the applicability of the findings to the modern policy and managerial
decision-making. Third, the study reveals more about the strategic position of
the accounting systems in facilitating the operation excellence and financial
sustainability in the emerging economies because it emphasizes lean accounting
as opposed to isolated lean practices. The rest of the paper is structured in
the following way. Section Two gives the conceptual and empirical reviews, and
the theoretical framework of the study. Section Three is a materials and
methods. Section Four is the empirical results presented and discussed. Section
Five concludes the study and indicates managerial and policy implications,
limitations, and directions of future research.
Conceptual
review
Lean
accounting is an approach to management accounting which is consistent with
lean production philosophy, is value-creating, focused on processes and
transparent costs. The lean accounting system can do this as opposed to the
traditional accounting system where the allocation of the costs is based on
historical cost, the lean accounting system can track the value streams, and
identify the activities that are not adding value and offer managers with
timely and actionable information to make decisions. Lean accounting in the
manufacturing setting is a tool that can be used to measure operational gains
in financial performance and, more importantly, integrates the management of
internal resources with the performance of the firms. The main lean accounting measures,
taken into consideration within the given study, are employee productivity
ratio (EPR), customer lead time (CLT), direct value stream costing (DVSC), and
lean efficiency ratio (LER). EPR evaluates the efficacy of human capital in the
production of outputs as compared to the input. The increased EPR of the firms
implies that labour resources are utilized efficiently which contributes to
lower production waste, higher capacity of running operations and this in turn
boosts the efficiency of the asset utilization (AUE) which indirectly reflects
on the net profit margin (NPM) through lower labour cost. CLT is a duration
between receipt of an order and delivery of the products. Reduced and levelled
lead times enhance responsiveness of operations, efficiency in inventory and
idle capacity, thus enhancing AUE besides contributing to NPM by ensuring
timely fulfilment and customer satisfaction [12].
DVSC
offers specific cost information on individual production processes, which
helps the managers to understand how inefficient the process is, how the
managers can eliminate non-value-adding activities and how they can utilize
resources more efficiently. DVSC promotes operational efficiency (AUE) and
profitability (NPM) by lowering the price of sold goods and increasing the
level of cost transparency. LER measures the general effectiveness of the
transformation of inputs to outputs in the production activities. Companies
that have better LER represent better utilization of materials, labour and
working capacity, which translates into better AUE and better NPM.
The
lean accounting also has efficiency and profitability which are intertwined.
Efficiency gains (via improvement in AUE) lower the cost of operation and
maximize the utilization of resources which give the environment of increasing
the profit margin (NPM). On the other hand, improved profitability helps
companies to invest in process enhancement, employee education, and technology,
which in turn boosts efficiency. This mutual relationship emphasizes the
efficiency-profitability nexus, which emphasizes the simultaneous role of lean
accounting activities in improving the operation and financial outcome in
manufacturing companies.
In
line with the conceptual review and the efficiency–profitability nexus, the
study proposes the following null hypotheses (H?):
H??:
Lean Accounting metrics have no significant effect on Asset Utilization
efficiency (AUE) of listed manufacturing firms.
H??:
Lean Accounting metrics have no significant effect on net profit margin (NPM)
of Nigerian manufacturing firms.
Resource-based
view (RBV) theory
Resource-Based
View (RBV) theory is another theory that was proposed by Wernerfelt (1984),
which was later developed by Barney (1991) that assumed firms can gain a
sustainable competitive advantage by creating and successfully using unique,
valuable and imitable internal resources. These assets can be either tangible
or intangible and such competencies like skilled labour, efficient processes,
innovative systems, and excellent cost structures can be included (Barney,
1991). Such resources in manufacturing firms tend to dictate the efficiency
with which a particular company converts inputs into outputs at the lowest
possible waste as well as financial benefits. RBV is specifically applicable to
lean accounting since lean practices are aimed at streamlining the internal
operation and cost structure, which is a central element of the resources of a
firm. The lean accounting indicators of direct value stream costing (DVSC) and
lean efficiency ratio (LER) are the indicators of the effectiveness of using
the firm internal resources. As an example, lower value stream costs are an
indicator of high-quality process management, and high ratios of lean
efficiency indicate high resource utilization in the basic production
processes. These actions are in line with the focus of RBV to use internal
strengths as a means of competitive advantage.
The
empirical research also highlights the fact that resource efficiency
contributes to the financial performance greatly. As an example, companies that
have properly applied DVSC systems have lower cost of sales and higher
profitability and companies with a higher LER make consistently better ROI,
EVA, and asset turnover reports. In situations of production, such as Nigeria,
the companies fight against infrastructural and economic barriers, and the key
to maintaining the efficiency and profitability of the company lies in the
process of utilizing and leveraging the internal reserves. The relevance of the
RBV theory to this study is that its rationale the choice of such operational
measures as DVSC and LER as significant indicators of lean accounting performance.
This research brings its analysis into a well-developed strategy model because
of matching the lean practice with RBV, which connects efficiency in resources
with long-term financial prosperity.
Empirical
review
In
Nigeria, recent empirical research is playing an increasing role in
ascertaining the application of lean accounting, cost transparency and
operational efficiency in boosting the performance of manufacturing firms;
albeit with significant methodological constraints. The latest findings
provided by Nwafor and Olamide indicate that the successful implementation of
direct value stream costing (DVSC) fulfills a substantial decrease in the cost
of sales and also increases operating profit margins in large-cap manufacturing
companies, to a considerable extent, owing to the increased visibility of cost
at a process level. In a parallel manner, Ibrahim and Okon indicate that lean
efficiency ratio (LER) and return on investment show strong positive
correlation in companies that have adopted Industry 4.0 technologies, however,
it is not replicable due to the use of proprietary efficiency indices. Usman
and Ezeani also affirm that DVSC enhances the accuracy of cost forecasting and
operating margin within the food and beverages industry but they are limited in
generalization due to their sector-specific focus and the use of self-reported
practices. At the same time, Adeoye and Chukwuemeka conclude that the proxies
of lean efficiency enhance the returns on sales and operational focus of listed
industrial companies, but do not disaggregate the specific lean practices.
Okafor and Chinedu demonstrate that greater lean efficiency ratios would be an
important predictor of Economic Value Added in Nigerian cement companies and Ogunlade
reports that less direct value stream cost would increase EVA in manufacturing
firms. Both studies however lack control of fluctuations in market demand,
inventory movement, or disruption in the supply-chain which can be independent
factors in value creation. The recent research on the topic done in 2021-2022
focuses mostly on lead time and cycle-time efficiency. Adeoye and Hassan record
that shorter delivery cycle times have a positive impact on CROA and the
efficiency of asset utilization within the FMCG companies, and Okafor and James
indicate that stable customer lead times lead to better asset turnover and EVA
in the auto-component firms. The same findings are observed by Adewale and
Peters and Akinwale and Obi, which claim that the decrease in direct production
costs and increase in lean efficiency ratios affect the better profitability
and asset turnover [13]. However, such research usually does not control
firm-specific factors including leverage, asset intensity, and risk exposure,
which is subject to the omitted variable bias. These results are supported by
previous studies conducted between 2018 and 2020 with significant limitations.
Onyema and Kalu and Eniola and Sadiq demonstrate that the shortening of the
lead time positively correlates with CROA, EVA, liquidity, and working capital
efficiency, whereas Adebayo and Omole and Akintunde confirm that there are
positive connections between the shortening of the cycle time and lean
efficiency, as well as profitability indicators [14,15]. Nevertheless, the
narrowness in the range of industries covered, the lack of recent data, and the
inability to use uniform measures of efficiency decreases the extrapolation of
these studies. Foundational evidence of the benefits of lead time and
responsiveness cycle reduction on cost efficiency, revenue growth, and asset
utilization have been formed through the earliest Nigerian studies that include
Ibrahim and Mustapha, Nwachukwu, Abiola, and Ifeanyi and Okeke [16-19].
However, these studies are based on small number of samples, SME-based design,
survey data that relies on perception and is pre-2016, therefore, their
inference is less applicable to existing listed manufacturing companies under
modern competitive and technological settings.
In
short, empirical literature is always upholding the positive correlation
between lean accounting and operational efficiency and financial performance,
although previous studies are inclined to analyze these aspects separately. The
little available empirical evidence on the combination of efficiency and
profitability in the same lean accounting framework is also lacking especially
in relation to listed manufacturing companies in Nigeria-a major gap that this
study aims to fill.
Conceptual
framework
Source:
Researchers’ Model (2026)
As
described in the conceptual framework, lean accounting metrics were measured as
employee productivity ratio, customer lead-time, direct value stream cost and
lean efficiency ratio; represents the independent variable. The dependent
variables, efficiency and profitability of the operations of the firm were
respectively measured using asset utilization efficiency and net profit margin.
Control variables are firm size and leverage in order to take into
consideration the differences in scale and financing structure that could also
influence efficiency and profitability so that the observed effects could be
mostly related to lean accounting practices.
The
research design chosen in this study was ex-post facto research design, which
is suitable as the research analyzes the past consequences of lean accounting
to efficiency and profitability, based on historical financial and operating
data. The population included all 51 Nigerian Exchange Group (NGX)-listed
manufacturing companies on 31st December 2024 and five sub-sectors, including
Industrial Goods, Consumer Goods, Healthcare, Agriculture, and Conglomerates
(NGX, 2024). The sample size was calculated using Taro Yamane’s statistical
formula for sample size determination, and this gave a sample of 45 firms, out
of which 39 firms were sampled based on judgment of the samples suitability
with certain criteria, which included the following: a continuous listing
between 2012 and 2024, provision of full financial reports, sub-sector
classification and consistency of operation. The last sample was representative
of sub-sectors and data reliability of the panel analysis with the following
distribution; Industrial Goods (12), Consumer Goods (13), Healthcare (5),
Agriculture (6), and Conglomerates (3). The audited annual reports of sampled
firms and NGX Factbooks were used as sources of secondary data to extract the
information regarding the period of 2012-2024. The measured variables are the
following: independent variables are the employee productivity ratio (EPR),
customer lead time (CLT), direct value stream costing (DVSC), and lean
efficiency ratio (LER); efficiency outcome is the asset utilization efficiency
(AUE); and profitability outcome is the net profit margin (NPM). Control
variables were the firm size (FSIZE) and leverage (LEV). The researchers used
the panel least squares regression to approximate the effects of the lean
accounting metrics on efficiency and profitability alongside factoring in the
heterogeneity at the firm level [20-21]. The models specified are:
Efficiency Model
Profitability Model
Whereas here:
EPRit? = Employee Productivity Ratio for firm i at time t, CLTit? = Customer
Lead Time for firm i at time t, DVSCit? = Direct Value Stream Cost for firm i
at time t, LERit? = Lean Efficiency Ratio for firm i at time t, FSIZEit? = Firm
Size for firm i at time t, LEVit? = Leverage for firm i at time t, ?j , ?j =
model-specific coefficients to be estimated (j = 0,1,2,...),
Results
The Panel Least Squares result of Model 1 with AUE
(Efficiency) as dependent variable is presented in (Table 1) below;
Table 1 shows panel least squares findings of Asset Utilization Efficiency (AUE), as the dependent variable. Since it involved cross-sectional and short time-series data, a static panel was used, which began with the fixed and random effect models. The fixed effect model proved to be more suitable as the Hausman test (Chi² = 105.89, p = 0.0000) showed that it is more appropriate to test the hypothesis. The effect model with fixed effects is statistically significant (Prob(F-statistic) = 0.0000), and the value of R 2 = 0.796 indicates that the explanatory variables used, which are Employee Productivity Ratio (EPR), Direct Value Stream Cost (DVSC), Lean Efficiency Ratio (LER), Customer Lead Time (CLT), Firm Size (FSIZE), and Leverage (LEV) are useful in explaining the variation in AUE by about 79.6 percent. Individually, EPR (?? = 0.242, p = 0.000) and DVSC (?? = 1.016, p = 0.000) are positive and highly significant, indicating that higher employee productivity and effective management of production costs enhance asset utilization efficiency. LEV (?? = 0.323, p = 0.000) is also positive and significant, suggesting that firms employing reasonable leverage achieve better operational efficiency. Conversely, FSIZE (?? = -6.748, p = 0.000) is negative and significant, implying that larger firms may experience lower efficiency due to operational complexities. CLT (?? = -0.054, p = 0.277) and LER (?? = 0.024, p = 0.351) are statistically insignificant, suggesting limited direct effects on AUE during the study period.
Table 1: Panel Least Squares Results for Model 1 (AUE).
|
|
Fixed Effect Model |
Random Effect Model |
|
C |
5.8491 (10.4200) {0.0000} |
5.5533 (10.500) {0.0000} |
|
EPR
|
0.2422* (7.1042) {0.0000} |
0.2023* (6.4519) {0.0000} |
|
CLT
|
-0.0544 (-1.0893) {0.2771} |
0.0058 (0.1275) {0.8986} |
|
DVSC
|
1.0159* (11.7385) {0.0000} |
1.0393* (12.7239) {0.0000} |
|
LER
|
0.0240 (0.9342) {0.3511} |
0.0371 (1.5429) {0.1240} |
|
FSIZE
|
-6.7482* (-13.3850) {0.0000} |
-6.8238* (-14.3413) {0.0000} |
|
LEV
|
0.3225* (6.1553) {0.0000} |
0.2901* (5.9603) {0.0000} |
|
F-statistics/Prob |
24.84 {0.000} |
70.00 {0.000} |
|
R- Squared |
0.7959 |
0.60 |
|
Hausman Test |
105.89{0.0000} |
|
|
Observation(N |
506 |
506 |
|
Note: (1) bracket () are t-Statistics, (2) bracket { } are
probability-values (3) *, ** , ***,
implies statistical significance at %1. 5% and 10% levels respectively. Source: Author’s
Compilation from E-VIEWS 9 Output (2026) |
||
Table 2: Panel Regression Result – Model 2 (NPM).
|
|
Fixed Effect Model |
Random Effect Model |
|
C |
0.0675 (0.0738) {0.9412} |
0.0733 (0.0930) {0.9259} |
|
EPR
|
-0.0600 (-0.9634) {0.3364} |
0.0065 (0.1306) {0.8961} |
|
CLT
|
-0.1479** (-1.9523) {0.0522} |
-0.2718* (-4.1713) {0.0000} |
|
DVSC
|
0.7514* (5.2073) {0.0000} |
0.5982* (4.8151) {0.0000} |
|
LER
|
0.8782* (20.5371) {0.0000} |
0.8171 (22.5464) {0.0000} |
|
FSIZE
|
-2.7241* (-3.2333) {0.0000} |
-1.8813* (-2.5710) {0.0107} |
|
LEV
|
-0.2423* (-2.7404) {0.0066} |
-0.1298 (-1.7496) {0.0814} |
|
F-statistics/Prob |
25.71 {0.000} |
85.21 {0.000} |
|
R- Squared |
0.8035 |
0.67 |
|
Hausman Test |
1.389{0.0065} |
|
|
Observation (N) |
506 |
506 |
|
Note: (1) bracket () are t-Statistics, (2) bracket { } are
probability-values (3) *, ** , ***,
implies statistical significance at %1. 5% and 10% levels respectively. Source: Author’s
Compilation from E-VIEWS 9 Output (2025) |
||
The findings, in general, suggest a strong positive effect of such key
lean accounting metrics as employee productivity and direct value stream cost
management on the efficiency of asset utilization in the manufacturing
employees of Nigerian manufacturing companies. Thus, the null hypothesis that
lean accounting practices do not affect AUE is not rejected, which proves the
fact that the given practices are significant drivers of the operational
efficiency. The Panel Least Squares result of Model 2
with NPM (Profitability) as dependent variable is presented in (Table 2) below; Table 2 shows the panel
least squares results of Net Profit Margin (NPM) as an indicator of
profitability. The cross-sectional data combined with short time-series data
meant that, both the fixed and the random effect models had to be estimated at
the same time; the Hausman test (Chi2 = 1.389, p = 0.0065) revealed that the
fixed effect model would be better used to interpret the results. The fixed effect model is
very important (Prob(F-statistic) = 0.0000), with an R2 value of 0.804, which
implies that the explanatory variables are Employee Productivity Ratio (EPR),
Customer Lead Time (CLT), Direct Value Stream Cost (DVSC), Lean Efficiency
Ratio (LER), Firm Size (FSIZE), and Leverage (LEV), which cumulatively
explained the variation in profitability of more than 80%. Among the
predictors, LER (?? = 0.878, p = 0.000) and DVSC (?? = 0.751, p = 0.000)
exhibit strong positive and significant effects, demonstrating that firms with
better lean operational practices and optimized value stream costs achieve
higher profit margins. In contrast, EPR (?? = -0.060, p = 0.336) and CLT (?? =
-0.148, p = 0.052) are not statistically significant, suggesting that employee
productivity and delivery lead times had limited direct influence on
profitability during the study period. FSIZE (?? = -2.724, p = 0.001) and LEV
(?? = -0.242, p = 0.007) are negatively related to profitability, implying that
larger firms and those with higher leverage face challenges that reduce profit
margins, such as increased costs or financial risk exposure. These results suggest
that although not every lean accounting variable has a direct effect on
profitability, lean efficiency and direct value stream cost management can be
considered as important factors. Thus, the null hypothesis is rejected that the
lean accounting practices do not affect the profitability because it is a
positive factor in increasing the profitability of a firm.
The results associated with Hypothesis One that
tested the effect of lean accounting metrics on efficiency (Asset Utilization
Efficiency - AUE) indicate that there is high empirical evidence that lean
accounting plays an efficiency-enhancing role in listed manufacturing companies
in Nigeria. The fact that there is a positive and significant effect of direct
value stream cost and employee productivity on AUE is in line with the
process-efficiency argument by previous and recent studies. As an example, Adeoye
and Hassan and Okafor and James also report the same finding, stating that
asset utilization and asset turnover are improved due to the improvement in the
delivery cycle and the increase in transparency in cost flows. These findings
also confirm the stance of Omole and Akintunde and Adebayo, who state that lean
practices enhance the capacity of the firms to transform their assets into
productive outputs through minimization of idle capacity and operational
wastes. The unimportance of customer lead time and lean efficiency ratio to the
explanation of AUE, however, is an indication that not every lean dimension can
be translated into efficiency gains in equal measure. This is contrary to the
results of Adewale and Peters, in addition to Akinwale and Obi, which indicate
high efficiency effects of lean efficiency ratios, but can be attributed to the
scale of firms, sector composition and incorporation of firm specific controls
in the current research like leverage and scale. With these controls, this
research gives a more resolute and valid estimate of lean-efficiency
associations, thus extending previous research that was usually malpractice by
omitted variables bias.
Regarding Hypothesis Two, the measure of the effect
of lean accounting practices on profitability (Net Profit Margin - NPM), the
findings indicate that profitability is more selective to lean practices as
compared to efficiency. The positive and high effect of lean efficiency ratio
on NPM is in line with the recent empirical studies by Ibrahim and Okon, Okafor
and Chinedu, and Ogunlade who discover that lean efficiency can enhance the
value creation and profit margins by reducing waste and streamlining processes.
Equally, the direct value stream cost shows a positive effect on profitability
which makes the findings of Nwafor and Olamide as well as Usman and Ezeani who
highlight improved operating margins and pricing effectiveness pertaining to
increased visibility of the value stream. Conversely, the employee productivity
and customer lead time were established to be not statistically significant in
the profitability model implying that operational level efficiency gains may
not necessarily translate into increased profit margin. The finding allows
correcting the gaps in the previous research, including those explaining
diverse effects of lean practices on profitability, like Adeoye and Chukwuemeka
and Onyema and Kalu. The adverse and large effects of the firm size and
leverage on the profitability also make the organizational scale and financial
structure to moderate these as well, which is also empirically supported by the
prior studies that did not possess the ability to control these firm-specific
attributes.
Balancing the efficiency and profitability nexus
By reconciling the efficacy-profitability nexus
between the empirical findings in Table 1 and Table 2, a sequential as opposed
to a simultaneous relationship between efficiency and profitability is
realized. The results indicate that lean accounting should initially be
practiced in the form of greater functionality in terms of Asset Utilization
Efficiency (AUE), which will subsequently be converted into profitability
metrics, in the form of Net Profit Margin (NPM). This suggests that efficiency
acts as a medium of transmission where lean accounting has an impact on the
performance of firms. The efficiency model shows that lean accounting variables
increases the capacity of firms to bring greater efficiency in the utilization
of the assets meaning that the resources are better coordinated, idle capacity
is minimized and the flow of the processes is improved. These efficiencies,
though, are not always a sure-footed way to greater profitability unless
coupled with the effective control of cost and decision-making that puts the
value stream at its center. That is the reason, why only a set of lean
dimensions, namely Lean Efficiency Ratio, have strong and significant influence
on profitability in the NPM model. These profitability findings also indicate
that efficiency is not enough but it requires efficiency. The size and leverage
of a firm are some of the factors that put a pressure of profitability downward
implying that the operational complexity and financial commitments of the scale
have the potential of cancelling the profitability gains imposed by the benefit
of increased asset utilization. In this way, lean accounting-based efficiency
should be planned with financial organization and cost control to provide the
long-term profits increase. In totality, the interaction supports the idea that
lean accounting improves efficiency initially and profitability will follow the
efficiency gains after becoming converted into financial results. This
highlights a vibrant efficiency-profitability nexus where efficiency of asset
utilization is an underlying mechanism that connects lean accounting practices
with high profitability in Nigerian listed manufacturing companies.
Conclusion
The results indicate that the lean accounting can
produce more significant and consistent influence on the asset utilization
efficiency implying that the use of value stream costing and workforce
productivity increase improves the successful use of organizational resources
and minimizes the waste of operations. In terms of profitability, lean
practices that are directly associated with cost optimization and cost process
efficiency only have a substantial positive impact on net profit margin,
implying that efficiency gains do not necessarily lead to increased net income
unless they lead to actual cost savings. The current research finds that lean
accounting practices have a significant albeit a differentiated role in
defining the performance outcomes of the listed manufacturing companies in
Nigeria. The indications suggest that lean accounting adds more reliably to
efficiency than to profitability, which confirms that enhancing the operations
are the most basic and instant results of the adoption of lean.
Implications and recommendations
This means that lean accounting improves the
profitability primarily because it leads to operational efficiency, which
proves efficiency-profitability nexus in the Nigerian manufacturing companies.
This implies that efficiency gains are to be managed purposefully and converted
into cost-savings and price benefits in order to attain a sustainable
profitability. Managers are thus called
on to emphasize on lean accounting practices that enhance cost transparency,
asset utilization especially direct value stream costing and
productivity-oriented controls. Big companies, especially, ought to deal with
the rigidity of operations that erode the effectiveness advantage of lean
systems. Professional bodies and regulators are also supposed to encourage lean
accounting adoption by training and practice guidelines. Out of the foregoing,
this paper suggests the adoption of lean accounting in internal reporting
frameworks and the option of aligning the decisions to finance with the goals
of efficiency to prevent a decline in profitability due to high levels of
leverage.
There are some limitations that apply to this
study. To begin with, it is based on only secondary data in the form of
published financial statements which might not be able to completely reflect
the depth and quality of internal lean accounting activity put in place by
companies. Second, the sample is limited to listed manufacturing firms in
Nigeria so the findings cannot be readily generalized to other sectors of the
economy or unlisted firms. Third, although the panel regression results in
control over firm-specific effects, the likelihood of unknown factors like
managerial capability, technology use and market rivalry that affect the
efficiency and profitability cannot be fully eliminated. Lastly, the research
utilizes the use of the static panel models which does not necessarily capture
the changes in efficiency and profitability that is dynamic over time.
The study can be expanded in future studies by
adding primary data collected via surveys or interviews to better represent the
internal lean accounting practices and extending the scope to include unlisted
companies or other industries to increase generalizability, and by including
other variables like managerial competence, use of technology and competition
in the market. Furthermore, the usage of dynamic panel models or time-series
would be able to give more information about the evolution of efficiency and
profitability over time, whereas comparative analysis done across regions or
countries would allow shedding light on the impact of contextual factors on the
effectiveness of lean accounting practices.
The authors confirm that they do not have any
conflict of interest about the publication of this study. There were no
financial, personal, or professional relationships that were related to the
research, analysis, or conclusions made in this paper.