THE IMPACT OF CREDIT MANAGEMENT ON THE PROFITABILITY OF A MANUFACTURING FIRM (A CASE STUDY OF UNILEVER PLC)

CHAPTER ONE: INTRODUCTION

1.1 Background of the Study

Credit management is a critical function within any business organization, particularly in the manufacturing sector where transactions often involve significant sums of money and extended payment terms. Credit management encompasses the entire process of granting credit to customers, setting credit terms and limits, monitoring outstanding receivables, collecting overdue payments, and managing the risk of bad debts. Effective credit management ensures that a company can extend credit to customers to stimulate sales while minimizing the risk of non-payment and the associated costs of carrying receivables. When credit management is weak, a company may experience delayed cash flows, increased bad debt expenses, higher financing costs, and ultimately, reduced profitability (Brealey, Myers, and Allen, 2017; Ross, Westerfield, and Jordan, 2019).

The relationship between credit management and profitability has been a subject of extensive research in corporate finance and accounting literature. Profitability, the ability of a business to generate earnings relative to its revenue, assets, or equity, is influenced by numerous factors, among which credit management plays a significant role. A well-designed credit management policy can boost profitability by increasing sales (as customers are attracted by favorable credit terms), reducing bad debt losses (through effective screening and collection), and optimizing the investment in accounts receivable (balancing the cost of carrying receivables against the benefits of increased sales). Conversely, poor credit management can erode profitability by tying up capital in slow-paying or defaulting accounts, increasing borrowing costs, and diverting management attention from core operations (Pandey, 2015; Van Horne and Wachowicz, 2019).

Unilever Plc stands as one of the world’s largest and most prominent consumer goods manufacturers, with a significant presence in Nigeria. The company was formed in 1929 through the merger of Dutch margarine producer Margarine Unie and British soap maker Lever Brothers. Today, Unilever is a British-Dutch multinational with operations in over 190 countries, employing over 150,000 people globally. In Nigeria, Unilever Nigeria Plc has operated for over 90 years, manufacturing and marketing a diverse portfolio of household and personal care products, including food products (Blue Band, Royco), home care products (Omo, Sunlight), and personal care products (Lux, Pepsodent, Closeup, Dove). The company is listed on the Nigerian Exchange Limited (NGX) and is a subsidiary of Unilever Plc (Unilever Nigeria Plc, 2023; Adebayo and Oyedokun, 2020).

The manufacturing sector in Nigeria, where Unilever operates, presents unique credit management challenges. Many customers, including distributors, wholesalers, and retailers, expect credit terms ranging from 30 to 90 days or even longer. At the same time, the economic environment in Nigeria is characterized by high inflation, foreign exchange volatility, interest rate fluctuations, and occasional liquidity crunches, all of which affect customers’ ability to pay on time. Manufacturers must also manage their own payment obligations to suppliers, many of whom require advance payment or letters of credit due to perceived risks. Effective credit management at Unilever Nigeria Plc therefore involves balancing the need to support customers with credit while ensuring that the company’s own cash flow remains sufficient to meet operational needs and maintain profitability (Okafor and Udeh, 2021; Eze and Nwafor, 2019).

The credit management process in a manufacturing firm like Unilever typically involves several key stages. First, credit policy formulation: the company establishes guidelines for which customers qualify for credit, the maximum credit limit per customer, the standard payment terms, and the procedures for credit evaluation. Second, credit assessment and approval: before extending credit to a new customer (or increasing credit for an existing customer), the company evaluates the customer’s creditworthiness using financial statements, trade references, bank references, and credit bureau reports. Third, invoicing and recording: once credit is granted, sales transactions are recorded as accounts receivable, with accurate documentation of amounts, due dates, and customer information. Fourth, monitoring and collection: the company tracks outstanding receivables, sends reminders before due dates, follows up on overdue accounts, and escalates collection efforts as needed. Fifth, provision for bad debts: the company estimates the portion of receivables that may not be collectible and records a provision (allowance for doubtful accounts), which reduces reported profitability. Each of these stages affects the company’s profitability (Pandey, 2015; Ross et al., 2019).

The impact of credit management on profitability can be measured through several key metrics. The accounts receivable turnover ratio (net credit sales divided by average accounts receivable) indicates how efficiently the company collects its receivables; a higher turnover generally indicates better credit management and shorter collection periods. The average collection period (365 days divided by accounts receivable turnover) shows the average number of days customers take to pay. The bad debt expense as a percentage of sales indicates the proportion of credit sales that ultimately prove uncollectible. The cost of carrying receivables (the opportunity cost of capital tied up in receivables, plus administrative and collection costs) can be compared to the incremental profit generated from credit sales to assess net benefit. For Unilever Nigeria Plc, these metrics would reveal the effectiveness of its credit management practices and their contribution to overall profitability (Brigham and Ehrhardt, 2017; Gitman and Zutter, 2020).

Unilever operates in a highly competitive consumer goods market in Nigeria. Competitors include multinational giants (Procter and Gamble, Nestlé, Reckitt Benckiser) and strong local manufacturers (PZ Cussons, Dufil Group, Chi Limited). In this competitive environment, credit terms can be a significant differentiator. If Unilever offers more generous credit terms than competitors, it may attract more customers and increase sales volume. However, more generous credit terms also increase the risk of late payments and bad debts, and increase the investment in receivables. The optimal credit policy is one where the marginal profit from increased sales equals the marginal cost of carrying additional receivables and potential bad debts. Determining this optimum requires careful analysis of customer segments, industry norms, and economic conditions (Nwankwo and Okeke, 2020; Okafor and Udeh, 2021).

The Nigerian economic environment since the 2016 recession has placed additional pressure on credit management. Many businesses have faced liquidity challenges, leading to slower payments and increased defaults. Currency devaluation (the Naira has depreciated significantly) has affected import-dependent manufacturers and customers alike. The COVID-19 pandemic further disrupted supply chains, reduced consumer spending, and increased business closures, all of which affected the collectability of receivables. For Unilever Nigeria Plc, navigating this challenging environment requires robust credit management practices, including real-time monitoring of customer financial health, flexible payment arrangements for struggling but viable customers, and strict enforcement of credit limits and collection procedures for problematic accounts (CBN, 2021; Adebayo and Oyedokun, 2020).

The role of trade credit in the manufacturing sector goes beyond simple buyer-seller financing. Trade credit serves as a critical source of short-term financing for many businesses, particularly small and medium enterprises (SMEs) that may not have access to bank loans or overdraft facilities. By extending credit to its distributors and retailers, Unilever helps these customers manage their working capital needs, fostering loyalty and encouraging larger orders. In this sense, credit management is not just a risk control function but also a strategic marketing tool. However, this also means that Unilever is effectively acting as a financier for its customers, with all the associated risks. Effective credit management requires Unilever to price this financing appropriately (i.e., implicitly through product pricing or explicitly through interest charges on overdue accounts) and to manage the risk of default (Petersen and Rajan, 1997; Fabbri and Klapper, 2016).

The relationship between credit management and profitability is not always linear or immediate. Tightening credit policies (e.g., reducing credit limits, shortening payment terms, stricter collection) may increase profitability in the short term by reducing bad debts and carrying costs, but may also reduce sales by turning away customers who rely on credit. Conversely, loosening credit policies may boost sales and market share in the short term but may reduce profitability in the medium to long term if bad debts increase. The optimal credit policy balances these trade-offs. For Unilever, which has a large, diverse customer base across different product categories and geographic regions, the optimal credit policy may vary by customer segment. A key challenge is implementing differentiated credit policies that reflect the risk and profitability of each customer segment (Brealey et al., 2017; Ross et al., 2019).

The manufacturing industry has specific characteristics that affect credit management. Unlike service businesses, manufacturers typically have high fixed costs (plant, equipment, inventory) and significant working capital requirements. Delays in customer payments can create cash flow gaps that force manufacturers to draw on expensive bank overdrafts or delay payments to their own suppliers (potentially damaging those relationships). Additionally, many manufacturers operate on thin profit margins, meaning that a single large bad debt can wipe out the profit from many sales. For Unilever, with its extensive manufacturing operations in Nigeria (including factories in Agbara, Ota, and other locations), effective credit management is essential for maintaining liquidity, protecting margins, and ensuring the smooth operation of its production facilities (Eze and Nwafor, 2019; Okafor and Udeh, 2021).

The adoption of technology in credit management has transformed how companies like Unilever manage their receivables. Enterprise Resource Planning (ERP) systems, customer relationship management (CRM) software, and specialized credit management modules enable real-time tracking of customer payment behavior, automated credit scoring, electronic invoicing, and automated collection reminders. Data analytics and machine learning can identify patterns that predict customer default, allowing proactive intervention. For Unilever Nigeria Plc, the company’s global systems and local adaptations provide opportunities to leverage technology for superior credit management. However, technology alone is insufficient; it must be integrated with sound credit policies, trained personnel, and a culture of credit discipline (Altman, 2018; Kieso, Weygandt, and Warfield, 2019).

Finally, this study focuses on Unilever Plc as a case study because the company represents a large, established, professionally managed manufacturing firm with a long operating history in Nigeria. Its size, market position, and multinational affiliation provide a rich context for examining credit management practices and their impact on profitability. The company’s publicly available financial statements (as a listed company) allow for quantitative analysis of credit management metrics over time. At the same time, the case study approach allows for in-depth qualitative exploration of the company’s credit policies, processes, and challenges. The findings from Unilever can provide valuable insights for other manufacturing firms in Nigeria seeking to improve their credit management and profitability (Yin, 2018; Creswell and Creswell, 2018).

1.2 Statement of the Problem

Unilever Nigeria Plc, like many manufacturing firms operating in Nigeria, faces significant challenges in managing its trade credit effectively. The company extends credit to a large network of distributors, wholesalers, and retailers across the country. However, the Nigerian business environment is characterized by economic volatility, foreign exchange constraints, high inflation, and customer liquidity pressures, all of which increase the risk of late payments and bad debts. Preliminary observations and industry reports suggest that Unilever has experienced issues such as extended collection periods, high accounts receivable balances, and occasional bad debt write-offs. These credit management challenges may be eroding the company’s profitability by tying up working capital, increasing financing costs, and reducing net earnings. There is a lack of recent, systematic, empirical research examining the specific impact of credit management practices on profitability at Unilever Nigeria Plc. Most existing studies have focused on banking or other service sectors, or have examined manufacturing firms in general without case-specific depth. Therefore, this study is motivated to investigate the impact of credit management on the profitability of Unilever Nigeria Plc, identify the specific credit management practices that drive or hinder profitability, and propose recommendations for optimizing the credit-profitability relationship.

1.3 Aim of the Study

The aim of this study is to examine the impact of credit management on the profitability of a manufacturing firm, using Unilever Plc as a case study.

1.4 Objectives of the Study

The specific objectives of this study are to:

1. Examine the credit management policies and practices currently employed at Unilever Nigeria Plc.
2. Assess the profitability of Unilever Nigeria Plc using relevant financial metrics (profit margin, return on assets, return on equity).
3. Determine the relationship between accounts receivable management (collection period, turnover) and profitability at Unilever.
4. Evaluate the impact of bad debt expense on the net profitability of the company.
5. Identify the challenges facing credit management at Unilever Nigeria Plc and propose recommendations for improvement.

1.5 Research Questions

The following research questions guide this study:

1. What are the credit management policies and practices currently employed at Unilever Nigeria Plc?
2. What is the profitability position of Unilever Nigeria Plc as measured by profit margin, return on assets, and return on equity?
3. What is the relationship between accounts receivable management (collection period, turnover) and profitability at Unilever?
4. How does bad debt expense affect the net profitability of Unilever Nigeria Plc?
5. What are the major challenges facing credit management at Unilever, and how can they be addressed?

1.6 Research Hypotheses

The following hypotheses are formulated in null (H₀) and alternative (H₁) forms:

Hypothesis One

• H₀: Credit management has no significant impact on the profitability of Unilever Nigeria Plc.
• H₁: Credit management has a significant impact on the profitability of Unilever Nigeria Plc.

Hypothesis Two

• H₀: There is no significant relationship between the average collection period and the profit margin of Unilever Nigeria Plc.
• H₁: There is a significant relationship between the average collection period and the profit margin of Unilever Nigeria Plc.

Hypothesis Three

• H₀: Bad debt expense does not significantly affect the net profitability of Unilever Nigeria Plc.
• H₁: Bad debt expense significantly affects the net profitability of Unilever Nigeria Plc.

Hypothesis Four

• H₀: Challenges such as customer liquidity problems and inadequate credit assessment do not significantly affect the effectiveness of credit management at Unilever Nigeria Plc.
• H₁: Challenges such as customer liquidity problems and inadequate credit assessment significantly affect the effectiveness of credit management at Unilever Nigeria Plc.

1.7 Significance of the Study

This study is significant for several stakeholders. First, the management and finance department of Unilever Nigeria Plc will benefit from a systematic assessment of how credit management affects profitability, enabling them to identify strengths, address weaknesses, and optimize credit policies for enhanced financial performance. Second, other manufacturing firms in Nigeria, particularly those in the fast-moving consumer goods (FMCG) sector, can use the findings as a benchmark for evaluating and improving their own credit management practices. Third, industry associations such as the Manufacturers Association of Nigeria (MAN) and the Nigerian Association of Chambers of Commerce, Industry, Mines, and Agriculture (NACCIMA) will gain insights into best practices and common challenges in credit management, informing advocacy and capacity-building programs. Fourth, financial institutions and credit bureaus will benefit from understanding the credit management practices of a major manufacturer, supporting their own credit assessment and risk management activities. Fifth, academics and researchers in corporate finance, credit management, and working capital management will find value in the study’s contribution to the literature on the credit-profitability relationship in the Nigerian manufacturing context. Sixth, policymakers (such as the Central Bank of Nigeria and the Federal Ministry of Industry, Trade and Investment) will gain insights into how macroeconomic conditions affect corporate credit management and profitability, informing policies that support manufacturing sector growth. Seventh, students of finance, accounting, and business management will find the study useful as a practical case study illustrating the application of credit management concepts. Finally, the broader Nigerian economy will benefit as improved credit management practices across the manufacturing sector lead to healthier companies, greater employment, and more efficient resource allocation.

1.8 Scope of the Study

This study focuses on the impact of credit management on the profitability of a manufacturing firm, using Unilever Nigeria Plc as a case study. Geographically, the research is limited to the Nigerian operations of Unilever, with primary focus on its corporate headquarters and manufacturing facilities in Nigeria. The company is a multinational consumer goods manufacturer with a diverse portfolio of food, home care, and personal care products, listed on the Nigerian Exchange Limited. Content-wise, the study examines the following areas: credit management policies (credit terms, credit limits, customer assessment criteria, collection procedures); accounts receivable metrics (average collection period, receivables turnover, aging schedule); profitability metrics (gross profit margin, operating profit margin, net profit margin, return on assets, return on equity); the relationship between receivables management and profitability; bad debt expense and its impact on net profit; and challenges (economic conditions, customer default risk, internal processes, staff competence). The study targets management staff (including the Chief Financial Officer, Credit Manager, and Finance Manager), credit controllers, accounts receivable staff, and other relevant personnel at Unilever Nigeria Plc. The time frame for data collection is the cross-sectional period of 2023–2024, though historical financial data (e.g., 5-10 years of financial statements) will be analyzed. The study does not cover Unilever’s operations outside Nigeria, nor does it cover other forms of working capital management (inventory, cash) except as they relate to credit management.

1.9 Definition of Terms

Credit Management: The process of granting credit to customers, setting credit terms and limits, monitoring outstanding receivables, collecting overdue payments, and managing the risk of bad debts.

Profitability: The ability of a business to generate earnings relative to its revenue, assets, or equity, typically measured by profit margins, return on assets (ROA), and return on equity (ROE).

Manufacturing Firm: A business entity engaged in the production of tangible goods through the conversion of raw materials, components, or subassemblies into finished products.

Unilever Nigeria Plc: The Nigerian subsidiary of Unilever Plc, a multinational consumer goods company, manufacturing and marketing food, home care, and personal care products, serving as the case study for this research.

Accounts Receivable: Amounts owed to a company by its customers for goods or services sold on credit; also known as trade receivables or debtors.

Average Collection Period: The average number of days it takes a company to collect payment from its customers after a credit sale; calculated as (accounts receivable / average daily credit sales).

Accounts Receivable Turnover Ratio: A measure of how efficiently a company collects its receivables; calculated as net credit sales divided by average accounts receivable.

Bad Debt: A debt owed to a company that is deemed uncollectible and is written off as an expense, reducing reported profitability.

Allowance for Doubtful Accounts: A contra-asset account that estimates the portion of accounts receivable that may not be collectible, created as a provision against potential bad debts.

Credit Terms: The conditions under which a seller extends credit to a buyer, including the credit period (e.g., 30 days, 60 days), any cash discount for early payment (e.g., 2/10, n/30), and penalties for late payment.

Credit Limit: The maximum amount of credit that a company is willing to extend to a specific customer at any given time.

Credit Scoring: A statistical method used to assess the creditworthiness of a potential customer based on various financial and non-financial characteristics.

Trade Credit: Credit extended by one business to another for the purchase of goods or services, typically without the involvement of a financial institution.

Working Capital: The difference between a company’s current assets and current liabilities; includes accounts receivable as a major component.

Fast-Moving Consumer Goods (FMCG): Products that sell quickly at relatively low cost, including food, beverages, toiletries, and cleaning products; the sector in which Unilever operates.

CHAPTER TWO: LITERATURE REVIEW

2.1 Conceptual Framework

A conceptual framework is a structural representation of the key concepts or variables in a study and the hypothesized relationships among them. It serves as the analytical lens through which the researcher organizes the study, selects appropriate methodology, and interprets findings. In this study, the conceptual framework is built around two primary constructs: Credit Management (the independent variable) and Profitability (the dependent variable). Additionally, the framework identifies the specific dimensions of each construct and the mediating mechanisms through which credit management influences profitability (Miles, Huberman, and Saldaña, 2020).

The independent variable, Credit Management, refers to the process of granting credit to customers, setting credit terms and limits, monitoring outstanding receivables, collecting overdue payments, and managing the risk of bad debts. For the purpose of this study, credit management is conceptualized along six key dimensions relevant to a manufacturing firm like Unilever Plc: (a) credit policy formulation (the establishment of guidelines for customer creditworthiness, credit limits, payment terms, and collection procedures), (b) credit assessment and approval (the evaluation of customer financial health, credit history, and payment capacity before extending credit), (c) credit terms and limits (the specific conditions of credit, including payment period, discount for early payment, penalties for late payment, and maximum exposure per customer), (d) accounts receivable monitoring (the tracking of outstanding invoices, aging analysis, and identification of overdue accounts), (e) collection management (the process of following up on overdue accounts, negotiating payment plans, and escalating collection efforts), and (f) bad debt management (the recognition, measurement, and write-off of uncollectible accounts, including the establishment of allowances for doubtful debts). Each of these dimensions contributes differently to the overall effectiveness of credit management and, consequently, to profitability (Pandey, 2015; Ross, Westerfield, and Jordan, 2019).

The dependent variable, Profitability, refers to the ability of a business to generate earnings relative to its revenue, assets, or equity. For the purpose of this study, profitability is conceptualized along four key dimensions: (a) profit margins (gross profit margin, operating profit margin, and net profit margin, which measure profitability relative to sales), (b) return on assets (ROA), which measures how efficiently a company uses its assets to generate earnings, (c) return on equity (ROE), which measures the return generated on shareholders’ investment, and (d) earnings per share (EPS), which measures the portion of profit allocated to each outstanding share of common stock. A comprehensive assessment of profitability requires examining multiple dimensions, as a company may have high margins but low returns on assets due to inefficient asset utilization (Brigham and Ehrhardt, 2017; Gitman and Zutter, 2020).

The conceptual framework posits a relationship between credit management and profitability that is both direct and indirect. The direct effects include: (a) bad debt expense (poor credit management leads to higher bad debts, directly reducing net profit), (b) collection costs (the cost of staff, systems, and legal actions to collect overdue accounts reduces profitability), and (c) discount costs (offering discounts for early payment reduces revenue per sale). The indirect effects operate through working capital and sales: (a) investment in receivables (credit sales tie up capital that could otherwise be used for productive investments, creating an opportunity cost), (b) financing costs (if the company must borrow to fund receivables, interest expense increases), (c) sales volume (generous credit terms may increase sales volume, boosting revenue and profit), and (d) customer loyalty (effective credit management that treats customers fairly can enhance loyalty and repeat business) (Brealey, Myers, and Allen, 2017; Van Horne and Wachowicz, 2019).

An important feature of this conceptual framework is the recognition of trade-offs inherent in credit management. The framework identifies a “credit-profitability trade-off curve”: at one extreme, very restrictive credit policies (no credit, cash-only sales) minimize bad debts and carrying costs but may lose sales to competitors offering credit. At the other extreme, very generous credit policies (long payment terms, high credit limits) may boost sales but also increase bad debts, carrying costs, and collection expenses. The optimal credit policy lies at the point where the marginal benefit (additional profit from increased sales) equals the marginal cost (additional bad debts, carrying costs, and collection expenses). For Unilever Plc, the specific optimal point depends on its industry, customer base, product characteristics, and competitive environment (Brealey et al., 2017; Ross et al., 2019).

The framework also recognizes several moderating variables that influence the strength and direction of the credit management-profitability relationship. These include: (a) industry characteristics (e.g., the extent to which credit is a competitive necessity in the consumer goods sector), (b) macroeconomic conditions (inflation, interest rates, exchange rates affect both customer payment capacity and the company’s cost of financing receivables), (c) customer characteristics (diversification of customer base, proportion of large vs. small customers, creditworthiness of typical customers), (d) product characteristics (perishability, customization, margin), (e) company size and market position (larger, more established companies like Unilever may have more bargaining power to set credit terms), (f) internal resources and capabilities (credit management systems, staff expertise, access to credit information), and (g) regulatory environment (laws governing debt collection, credit reporting, and bankruptcy). For Unilever Nigeria Plc, the specific values of these moderating variables will determine the net impact of credit management on profitability (Eze and Nwafor, 2019; Okafor and Udeh, 2021).

The framework also distinguishes between different types of credit customers. Not all customers pose the same credit risk or offer the same profitability potential. Large, well-established distributors with long payment histories may justify more generous credit terms than small, new retailers. Customers who purchase high-margin products may be more valuable than those who purchase low-margin products. The framework suggests that effective credit management requires segmenting customers based on risk and profitability, and tailoring credit policies accordingly. For Unilever, with its diverse customer network across Nigeria, implementing differentiated credit policies is a key challenge and opportunity (Petersen and Rajan, 1997; Fabbri and Klapper, 2016).

Methodologically, the conceptual framework guides the development of research instruments and analytical procedures. Interview guides and survey questionnaires are structured to capture each dimension of credit management (policy formulation, assessment, terms, monitoring, collection, bad debt management) and each dimension of profitability (margins, ROA, ROE, EPS). Questions probe specific examples from Unilever’s experience. The framework also guides the analysis of secondary data, including the company’s annual reports, financial statements, and credit management reports. Quantitative analysis will examine the statistical relationship between credit management metrics (average collection period, receivables turnover, bad debt ratio) and profitability metrics (Creswell and Creswell, 2018; Saunders, Lewis, and Thornhill, 2019).

Empirical studies that have employed similar conceptual frameworks in manufacturing contexts provide validation for this approach. For example, studies on European manufacturing firms found that the average collection period had an inverted U-shaped relationship with profitability: moderate collection periods were associated with highest profitability, while very short and very long periods were associated with lower profitability. Studies on Asian consumer goods companies found that bad debt expense had a stronger negative impact on profitability than carrying costs, suggesting that credit risk management should be prioritized over collection efficiency. In Nigeria, research on manufacturing firms has found that credit management practices vary significantly by firm size and industry, with FMCG companies like Unilever typically having more sophisticated practices than smaller or less competitive firms (Adebayo and Oyedokun, 2020; Eze and Nwafor, 2021; Okafor and Udeh, 2021).

The conceptual framework also addresses the unique characteristics of Unilever Plc as a case study. As a multinational subsidiary, Unilever Nigeria may be subject to global credit management policies and systems developed by the parent company. These policies may be more stringent or more sophisticated than those of purely domestic competitors. Additionally, Unilever’s strong brand portfolio and market position may give it bargaining power to enforce credit terms more effectively than smaller competitors. The framework includes these unique characteristics as part of the organizational context that moderates the credit management-profitability relationship (Unilever Nigeria Plc, 2023; Adebayo and Oyedokun, 2020).

Visually, the conceptual framework for this study can be represented as a diagram with “Credit Management” (independent variable) at the left, with six boxes (policy formulation, assessment, terms, monitoring, collection, bad debt management). An arrow points to “Profitability” (dependent variable) on the right, with four boxes (margins, ROA, ROE, EPS). Along the arrow are placed the mediating mechanisms (bad debt expense, carrying costs, collection costs, sales volume, customer loyalty). Above the arrow are placed the moderating variables (industry, macroeconomy, customer characteristics, product characteristics, company size, resources, regulation). A curve labeled “Credit-Profitability Trade-off” indicates the optimal policy at the margin. This visual representation aids readers in quickly grasping the hypothesized relationships (Miles et al., 2020).

In summary, the conceptual framework of this study provides a clear, logical, and empirically grounded structure for investigating the impact of credit management on the profitability of Unilever Plc. By disaggregating credit management into six dimensions and profitability into four dimensions, and by acknowledging the mediating mechanisms, moderating variables, and trade-offs inherent in credit policy, the framework enhances the validity and reliability of the research findings. It also serves as a bridge between the theoretical foundations (discussed in section 2.2) and the empirical investigation (chapters three and four) (Creswell and Creswell, 2018).

2.2 Theoretical Framework

A theoretical framework is a collection of interrelated concepts, definitions, and propositions that present a systematic view of phenomena by specifying relationships among variables, with the purpose of explaining and predicting those phenomena. In this study, four major theories are adopted to explain the impact of credit management on profitability: the Trade-off Theory of Credit Management, the Signaling Theory, the Pecking Order Theory, and the Stakeholder Theory. These theories collectively provide a robust lens for understanding how credit management affects profitability and why different credit policies may be optimal for different firms (Brealey et al., 2017; Spence, 1973; Myers and Majluf, 1984; Freeman, 1984).

2.2.1 Trade-off Theory of Credit Management

The Trade-off Theory of Credit Management, rooted in the broader corporate finance literature on working capital management, posits that firms face a trade-off between the benefits and costs of extending credit to customers. The benefits of extending credit include increased sales volume (as customers are attracted by favorable payment terms), enhanced customer loyalty and repeat business, and the ability to charge higher prices (as credit is a value-added service). The costs of extending credit include the opportunity cost of funds tied up in accounts receivable (the return that could have been earned if those funds were invested elsewhere), bad debt expenses (the portion of receivables that prove uncollectible), collection and administrative costs (staff, systems, legal fees), and the cost of financing receivables (if the firm borrows to fund credit sales). The optimal credit policy is achieved when the marginal benefit of extending additional credit equals the marginal cost (Brealey et al., 2017; Ross et al., 2019).

In the context of this study, the Trade-off Theory explains why Unilever Plc must carefully balance the benefits and costs of its credit policies. If Unilever’s credit policies are too restrictive (e.g., very short payment terms, low credit limits, aggressive collection), it may lose sales to competitors who offer more favorable terms. If its policies are too generous (e.g., long payment terms, high credit limits, lenient collection), it may experience high bad debts, excessive carrying costs, and cash flow problems. The theory predicts that the optimal credit policy varies across firms based on factors such as the firm’s cost of capital (higher cost of capital favors stricter credit policies), the firm’s profit margin (higher margins can absorb more credit risk), and the competitive environment (more intense competition may require more generous credit terms). For Unilever, with its relatively low-cost access to capital (as a large multinational) and its premium brands (supporting healthy margins), the optimal credit policy may be somewhat more generous than for smaller, less profitable competitors (Pandey, 2015; Van Horne and Wachowicz, 2019).

The Trade-off Theory also explains why firms should segment their credit policies by customer type. High-risk customers (e.g., new businesses, those with poor credit histories, those in volatile industries) should receive less generous credit terms (or no credit) because the marginal cost of extending credit to them (expected bad debt) exceeds the marginal benefit. Low-risk customers (e.g., long-standing distributors with excellent payment records) may receive more generous terms. The theory suggests that Unilever’s profitability can be enhanced by implementing differentiated credit policies that reflect the risk and profitability of each customer segment. This requires robust credit assessment and monitoring systems (Brealey et al., 2017).

Empirical studies have supported the Trade-off Theory. Research on manufacturing firms in developed and emerging markets has found an inverted U-shaped relationship between credit extension (measured by accounts receivable to sales ratio) and profitability, consistent with the existence of an optimal credit level. In Nigeria, studies have found that manufacturing firms with moderate receivables levels (neither too low nor too high) have higher profitability than those at the extremes. For Unilever, this suggests that continuous monitoring and adjustment of credit policies are necessary to maintain optimality as business conditions change (Eze and Nwafor, 2021; Okafor and Udeh, 2021).

2.2.2 Signaling Theory

Signaling Theory, developed by Michael Spence (1973) and applied to various contexts including corporate finance and credit management, explains how parties (senders) communicate information to other parties (receivers) in situations of information asymmetry. In the credit management context, a seller’s credit policy can serve as a signal to the market about the quality of its products and the strength of its financial position. When a firm offers generous credit terms (e.g., long payment periods, low or no down payment), it signals confidence in the quality of its products (if the product were defective, customers would not pay) and its financial strength (only financially healthy firms can afford to carry large receivables). Conversely, restrictive credit policies (e.g., cash-only sales, very short payment terms) may signal low product quality or financial weakness (Spence, 1973; Connelly, Certo, Ireland, and Reutzel, 2011).

In the context of this study, Signaling Theory explains how Unilever’s credit management practices affect customer perceptions and, consequently, sales and profitability. By offering credit to its distributors and retailers, Unilever signals that it believes in the quality of its products and has the financial strength to wait for payment. This signal can attract customers who might otherwise be hesitant to do business with a less reputable supplier. Additionally, Unilever’s decision to offer credit to a particular customer signals to other potential customers that the customer is creditworthy, which can enhance the customer’s own business prospects and, indirectly, Unilever’s sales. However, if Unilever extends credit imprudently to customers who subsequently default, the signal is negative—it suggests that Unilever has poor credit assessment capabilities, which could harm its reputation (Petersen and Rajan, 1997; Fabbri and Klapper, 2016).

Signaling Theory also explains the role of trade credit in relationships between manufacturers and their customers. In many cases, trade credit serves as a signal of relationship commitment. A manufacturer that extends credit to a distributor is signaling that it values the relationship and is willing to invest in the distributor’s success. This signal can enhance loyalty, encourage the distributor to promote the manufacturer’s products, and reduce the likelihood that the distributor will switch to a competitor. For Unilever, with its extensive network of distributors across Nigeria, credit can be a strategic tool for building and maintaining relationships, not just a financing mechanism. The theory suggests that Unilever should view credit management not only as a risk control function but as a relationship management tool (Stiglitz and Weiss, 1981).

Empirical research has found that firms in industries with high information asymmetry (where product quality is difficult to assess) are more likely to use trade credit as a signaling mechanism. For Unilever, whose products (e.g., food and personal care items) have quality attributes that are not immediately observable, trade credit serves as a credible signal of quality. The theory also suggests that signaling can be costly (the firm must bear the carrying costs of receivables), but these costs are justified if the signal attracts enough additional sales or enhances customer loyalty to offset the costs (Brealey et al., 2017).

2.2.3 Pecking Order Theory

The Pecking Order Theory, developed by Myers and Majluf (1984), explains how firms prioritize their sources of financing. According to the theory, firms prefer internal financing (retained earnings) first, then debt, and finally equity as a last resort. This ordering is driven by information asymmetry: managers know more about the firm’s prospects than outside investors, so external financing (especially equity) is costly because investors may interpret the need for external financing as a negative signal. The Pecking Order Theory has important implications for credit management because the decision to extend credit to customers directly affects the firm’s internal funds (through the timing of cash inflows) and its need for external financing (Brealey et al., 2017; Myers and Majluf, 1984).

In the context of this study, the Pecking Order Theory explains how credit management at Unilever affects the company’s financing decisions and, consequently, its profitability. When Unilever extends credit to customers, it delays the receipt of cash, reducing internal funds available for investment, operations, and dividend payments. If the delay is significant, Unilever may need to seek external financing (e.g., bank overdrafts, short-term loans) to cover its operating expenses and supplier payments. External financing carries interest costs, which reduce profitability. Moreover, the need for external financing may signal to investors that Unilever’s internal funds are insufficient, potentially depressing the company’s stock price. Therefore, from a Pecking Order perspective, efficient credit management (minimizing the investment in receivables while supporting necessary sales) preserves internal funds and reduces the need for costly external financing (Gitman and Zutter, 2020; Ross et al., 2019).

The Pecking Order Theory also explains why firms may be reluctant to extend credit to customers, especially during periods of economic uncertainty. When internal funds are scarce (e.g., during a recession), firms may tighten credit policies to conserve cash, even if this means losing some sales. The cost of external financing (the interest rate on bank loans or overdrafts) determines how tight credit policies should be: higher external financing costs favor stricter credit policies. For Unilever Nigeria, which operates in an environment with relatively high interest rates, the Pecking Order Theory suggests that the company should be relatively conservative in its credit extension to avoid expensive external financing. However, this must be balanced against the risk of losing sales to competitors who may be more willing to extend credit (Okafor and Udeh, 2021).

Empirical studies have supported the Pecking Order Theory in the context of credit management. Research has found that firms with higher internal funds (more retained earnings) extend more trade credit to customers, while firms with lower internal funds (or higher external financing costs) extend less trade credit. In Nigeria, studies have found that manufacturing firms with higher profitability (and thus more internal funds) have higher accounts receivable levels, consistent with the theory. For Unilever, this suggests that its credit policies may vary over the business cycle: more generous during profitable periods, more restrictive during downturns (Eze and Nwafor, 2021).

2.2.4 Stakeholder Theory

Stakeholder Theory, developed by Freeman (1984) and subsequently expanded by other scholars, posits that organizations are not merely responsible to their shareholders but to a broader set of stakeholders who are affected by or can affect the achievement of the organization’s objectives. Stakeholders of a manufacturing firm like Unilever include customers (distributors, retailers, consumers), employees, suppliers, creditors, local communities, regulators, and the environment. In the context of credit management, Stakeholder Theory suggests that extending credit affects multiple stakeholder groups, and that the profitability impact of credit management must be considered alongside its impact on stakeholder relationships (Freeman, 1984; Donaldson and Preston, 1995).

In the context of this study, Stakeholder Theory explains how Unilever’s credit management practices affect relationships with various stakeholders and how these relationships, in turn, affect profitability. For customers (distributors and retailers), access to trade credit is often essential for their working capital management. By extending credit, Unilever supports its customers’ financial health, which can enhance customer loyalty, increase order volumes, and reduce the risk of customer bankruptcy (which would harm Unilever as well). For suppliers, Unilever’s ability to collect from its customers affects its own ability to pay suppliers promptly, which affects supplier relationships and the terms of trade. For employees, effective credit management ensures that the company has sufficient cash flow to pay salaries and invest in operations. For investors, credit management affects reported earnings and cash flows, which affect share prices and dividends. By managing credit in a way that balances the interests of these stakeholders, Unilever can enhance its long-term profitability, even if short-term metrics (e.g., a slightly longer collection period) might appear suboptimal (Fabbri and Klapper, 2016; Petersen and Rajan, 1997).

Stakeholder Theory also explains why firms may voluntarily provide more favorable credit terms than strictly necessary from a profit-maximizing perspective. By supporting customers during difficult times (e.g., extending payment deadlines during an economic downturn), a firm builds goodwill and loyalty that pays off in the long term. This is particularly relevant in Nigeria, where economic volatility can create temporary liquidity problems for otherwise viable customers. Unilever’s credit management decisions therefore reflect not only financial calculations but also relationship considerations. The theory suggests that Unilever should incorporate stakeholder impacts into its credit decisions, not just narrow profitability metrics (Adebayo and Oyedokun, 2020).

Empirical research has found that firms with strong stakeholder relationships (including supportive trade credit policies) tend to have better long-term financial performance, lower cost of capital, and greater resilience during economic downturns. In Nigeria, studies have found that manufacturing firms that maintain flexible credit policies (e.g., willingness to renegotiate terms with struggling customers) have lower customer churn and more stable sales over time. For Unilever, adopting a stakeholder orientation in credit management may enhance its reputation and market position, indirectly boosting profitability (Okafor and Udeh, 2021; Eze and Nwafor, 2019).

2.2.5 Synthesis of the Four Theories

Taken together, the Trade-off Theory of Credit Management, Signaling Theory, Pecking Order Theory, and Stakeholder Theory provide a multi-layered theoretical foundation for this study. The Trade-off Theory explains the fundamental balancing act between the benefits and costs of credit extension, identifying the optimal credit policy at the margin. Signaling Theory explains how credit policies communicate information to customers and the market about product quality and financial strength, affecting sales and reputation. The Pecking Order Theory explains how credit management affects internal funds and the need for external financing, with implications for financing costs and profitability. Stakeholder Theory expands the lens beyond narrow financial optimization to include relationships with customers, suppliers, and other stakeholders, recognizing that long-term profitability depends on managing these relationships effectively (Brealey et al., 2017; Spence, 1973; Myers and Majluf, 1984; Freeman, 1984).

The synthesis of these theories also guides empirical testing and practical recommendations. Research questions and hypotheses derived from this theoretical framework can focus on: from the Trade-off Theory, the existence of an optimal receivables level at Unilever; from Signaling Theory, whether credit policies affect customer perceptions and market share; from the Pecking Order Theory, the relationship between internal funds and credit extension; and from Stakeholder Theory, how credit policies affect relationships with distributors and other stakeholders. The framework suggests that improving the impact of credit management on profitability at Unilever requires attention to all four theoretical dimensions: balancing costs and benefits (Trade-off), managing signals (Signaling), preserving internal funds (Pecking Order), and nurturing stakeholder relationships (Stakeholder) (Creswell and Creswell, 2018).

Critically, these theories also acknowledge limitations and tensions. The Trade-off Theory assumes that managers can accurately measure marginal benefits and costs, which may be difficult in practice. Signaling Theory assumes that signals are credible and that recipients interpret them correctly, which may not always hold. The Pecking Order Theory assumes that internal funds are always preferable to external financing, but this may not hold if internal funds have higher opportunity costs. Stakeholder Theory recognizes multiple stakeholders but does not provide a clear method for balancing their competing interests. Therefore, the theoretical framework does not offer simple prescriptions; rather, it provides a set of lenses for analyzing the complex reality of credit management at Unilever Plc (Saunders et al., 2019).

In conclusion, the theoretical framework of this study is firmly anchored in four well-established, complementary theories: the Trade-off Theory of Credit Management (Brealey et al., 2017), Signaling Theory (Spence, 1973), Pecking Order Theory (Myers and Majluf, 1984), and Stakeholder Theory (Freeman, 1984). These theories collectively explain the impact of credit management on profitability, the mechanisms through which credit policies affect financial outcomes, the signals that credit policies send to the market, the financing implications of credit decisions, and the stakeholder relationships that mediate long-term profitability. The framework provides a solid foundation for the conceptual framework (section 2.1), the research methodology (chapter three), and the interpretation of findings (chapters four and five) (Miles et al., 2020).