THE IMPACT OF ACCOUNTANCY INFORMATION ON DECISION MAKING PROCESS (A CASE STUDY OF EMENITE MANUFACTURING INDUSTRY AND ANAMMCO MANUFACTURING INDUSTRY)

CHAPTER ONE: INTRODUCTION

1.1 Background of the Study

Accountancy information, often referred to as accounting information, is the lifeblood of any business organization. It encompasses the financial data, reports, analyses, and statements that are generated from the accounting system of an entity. This information includes, but is not limited to, financial statements (balance sheet, income statement, cash flow statement, statement of changes in equity), budgets, variance reports, cost analyses, profitability analyses, and other managerial accounting reports. Accountancy information serves as the quantitative foundation for virtually all significant business decisions, from strategic planning and resource allocation to operational control and performance evaluation. Without reliable accountancy information, managers would be operating in a vacuum, unable to assess the financial consequences of their choices (Horngren, Sundem, and Stratton, 2018; Drury, 2020).

The decision-making process in business organizations involves a series of sequential steps: identifying a problem or opportunity, gathering relevant information, generating alternative courses of action, evaluating the alternatives against established criteria, selecting the best alternative, implementing the decision, and evaluating the outcome. At each of these stages, accountancy information plays a critical role. During information gathering, financial data helps define the scope and nature of the problem. During evaluation, accounting reports help compare the projected costs, revenues, and profitability of different alternatives. During implementation, accounting systems track actual performance against plans. During outcome evaluation, financial statements reveal whether the decision achieved its intended results. The quality of accountancy information—its accuracy, timeliness, relevance, and completeness—directly affects the quality of decisions made (Mintzberg, Raisinghani, and Theoret, 1976; Simon, 1959).

Emenite Manufacturing Industry and Anammco Manufacturing Industry represent two significant manufacturing enterprises in Nigeria, each with its own history, market position, and operational characteristics. Emenite Limited (often referred to as Emenite Manufacturing Industry) is a Nigerian manufacturing company specializing in the production of roofing and building materials, particularly fiber cement roofing sheets, flat sheets, and other allied products. Established several decades ago, Emenite has built a reputation for quality building materials and has a distribution network spanning across Nigeria. Anammco (Anambra Motor Manufacturing Company) is a prominent automobile manufacturing and assembly company in Nigeria, known for producing commercial vehicles, buses, and trucks under its brand. Both companies operate in capital-intensive, competitive manufacturing sectors where effective decision-making is critical for survival and growth (Emenite Limited, 2023; Anammco, 2022; Adebayo and Oyedokun, 2020).

The manufacturing industry in Nigeria has faced significant challenges over the years, including inadequate infrastructure (particularly power supply), foreign exchange volatility, high import dependence for raw materials and spare parts, intense competition from imported goods, and inconsistent government policies. These challenges make effective decision-making even more critical. Managers at manufacturing firms like Emenite and Anammco must constantly make decisions about production volumes, raw material procurement, pricing, inventory levels, capital investment, staffing, and financing. Each of these decisions requires accurate, timely, and relevant accountancy information. For example, production decisions require cost accounting information (unit costs, break-even points, contribution margins). Pricing decisions require information about costs, competitor prices, and market demand. Investment decisions require capital budgeting analyses (net present value, internal rate of return, payback period) (Okafor and Udeh, 2021; Eze and Nwafor, 2019).

The role of accountancy information in decision-making can be understood through the distinction between financial accounting and management accounting. Financial accounting focuses on the preparation of financial statements for external stakeholders (investors, creditors, regulators, tax authorities). This information is historical, standardized, and subject to external audit. Management accounting, by contrast, focuses on providing information for internal decision-makers (managers). This information can be forward-looking, customized, detailed, and not subject to external standards. Both types of accountancy information are important for decision-making, but management accounting is particularly critical for day-to-day operational and tactical decisions, while financial accounting is more important for strategic decisions and external communication. At Emenite and Anammco, both financial and management accounting systems contribute to the decision-making processes of their respective management teams (Kaplan and Atkinson, 2015; Kieso, Weygandt, and Warfield, 2019).

The quality of accountancy information is typically assessed using several characteristics, often derived from the conceptual framework of accounting. These qualitative characteristics include relevance (information is capable of making a difference in user decisions), faithful representation (information is complete, neutral, and free from error), comparability (information can be compared across periods or across entities), verifiability (different knowledgeable observers could reach consensus), timeliness (information is available before it loses its usefulness), and understandability (information is clear and comprehensible). When accountancy information possesses these characteristics, it is more likely to be used effectively in decision-making and to lead to better decisions. When it lacks these characteristics—for example, if it is outdated, inaccurate, or incomprehensible—it may be ignored or, worse, misused, leading to poor decisions (IASB, 2018; IPSASB, 2021).

In the Nigerian context, the quality of accountancy information available to manufacturing firms varies significantly. Larger, more established firms like Emenite and Anammco typically have formal accounting departments, qualified accountants, and computerized accounting systems. They produce regular financial statements, conduct budgeting and variance analysis, and have internal audit functions. Smaller or less formal firms may rely on rudimentary record-keeping, produce infrequent or unreliable reports, and have limited capacity for financial analysis. The availability of high-quality accountancy information is itself a resource that can enhance decision-making and, ultimately, performance. For Emenite and Anammco, both of which have been in operation for many years, the expectation is that they have developed reasonably sophisticated accounting functions. However, the extent to which they actually use accountancy information in decision-making, and the impact of that use on decision quality, requires empirical investigation (Adebayo and Oyedokun, 2020; Okafor and Udeh, 2021).

The decision-making process in manufacturing firms like Emenite and Anammco can be categorized into three levels: strategic, tactical, and operational. Strategic decisions are long-term, high-stakes, and affect the entire organization. Examples include entering new markets, launching new product lines, building new factories, or forming strategic alliances. These decisions require financial accounting information about overall profitability, return on investment, and financial position, as well as projected financial information from capital budgeting analyses. Tactical decisions are medium-term and affect specific departments or functions. Examples include setting production targets, adjusting prices, or selecting suppliers. These decisions require management accounting information such as standard costs, variance reports, and profitability by product line. Operational decisions are short-term and day-to-day. Examples include scheduling production runs, approving overtime, or ordering raw materials. These decisions require real-time or near-real-time accounting information about inventory levels, production costs, and cash positions (Anthony and Govindarajan, 2018; Garrison, Noreen, and Brewer, 2018).

The use of computerized accounting systems (CAS) has transformed the availability and quality of accountancy information for decision-making. Prior to computerization, accounting information was often delayed (prepared monthly or quarterly), aggregated (summary totals only), and difficult to customize. With computerized systems, information can be available in real time, disaggregated to individual transactions or products, and easily formatted for specific decision needs. Managers can run “what-if” scenarios, generate custom reports, and drill down from summary totals to underlying details. For Emenite and Anammco, the adoption and effective use of CAS can significantly enhance the impact of accountancy information on decision-making. However, computerization also brings challenges: the need for trained staff, reliable power and internet, data security, and integration with other business systems (O’Brien and Marakas, 2018; Laudon and Laudon, 2020).

The impact of accountancy information on decision-making can be measured in several ways. Direct measures include whether managers report using accounting information in their decisions, whether decisions are consistent with accounting analyses (e.g., choosing the alternative with the highest projected net present value), and whether the implementation of decisions is tracked using accounting data. Indirect measures include the financial performance of the organization (e.g., profitability, return on assets), which should improve if accounting information is being used effectively. However, performance is influenced by many factors beyond accounting information (market conditions, competition, luck), so isolating the impact of accounting is challenging. This study will use both direct (manager surveys and interviews) and indirect (analysis of financial performance trends) approaches to assess impact (Chenhall, 2003; Luft and Shields, 2003).

The comparison of two manufacturing firms—Emenite and Anammco—in this study provides an opportunity to examine how contextual factors affect the relationship between accountancy information and decision-making. While both are manufacturing firms in Nigeria, they operate in different industries (building materials vs. automobile assembly), have different histories and ownership structures, and may have different organizational cultures and management styles. These differences may lead to different patterns of accounting information use and different decision-making processes. By studying both firms, the research can identify commonalities (factors that apply to manufacturing generally) and differences (factors specific to industry or firm characteristics). This comparative approach enhances the generalizability of the findings (Yin, 2018; Eisenhardt, 1989).

The role of organizational culture and management style in mediating the impact of accountancy information on decision-making is well recognized in the literature. Organizations with a “data-driven” or “evidence-based” culture—where managers value quantitative analysis and seek out accounting information before making decisions—are likely to realize greater benefits from their accounting systems than organizations where decisions are made based on intuition, politics, or hierarchy. Similarly, managers who have accounting training or who have been exposed to financial analysis in their careers are more likely to use accounting information effectively. For Emenite and Anammco, understanding the prevailing organizational culture and management style is important for interpreting the observed impact of accountancy information on decision-making (Chenhall, 2003; Luft and Shields, 2003).

Finally, this study is timely and relevant given the current economic challenges facing Nigeria. With foreign exchange shortages, high inflation, and slow economic growth, manufacturing firms are under intense pressure to make better decisions to survive and thrive. The margin for error is thin; a poor investment decision or an inefficient production schedule can be ruinous. In this environment, high-quality accountancy information is not a luxury but a necessity. By examining the impact of accountancy information on decision-making at Emenite and Anammco, this study will generate insights that can help manufacturing firms across Nigeria strengthen their accounting functions and improve their decision-making processes, contributing to the revitalization of the manufacturing sector (CBN, 2021; Adebayo and Oyedokun, 2020).

1.2 Statement of the Problem

Emenite Manufacturing Industry and Anammco Manufacturing Industry, like many manufacturing firms in Nigeria, operate in a complex and challenging environment that demands effective decision-making at all levels. Both firms have access to accountancy information generated by their accounting systems, including financial statements, cost reports, budgets, and variance analyses. However, it is unclear to what extent this accountancy information is actually used in the decision-making processes of these firms, and what impact that usage (or non-usage) has on the quality of decisions and ultimately on organizational performance. Preliminary observations suggest potential issues: decisions may be made based on intuition or past practice rather than on current accounting data; accounting reports may be produced as a compliance exercise for external parties rather than as a tool for internal decision-making; managers may lack the training or inclination to interpret accounting information; the accounting information may be outdated or inaccurate by the time it reaches decision-makers; or there may be disconnects between the accounting department and operational managers. These potential problems, if present, would undermine the value of the firms’ investment in accounting systems and personnel. There is a lack of recent, systematic, comparative research examining the impact of accountancy information on decision-making specifically at Emenite and Anammco. Therefore, this study is motivated to investigate the impact of accountancy information on the decision-making process at these two manufacturing firms, identify the factors that facilitate or hinder effective use of accounting information, and propose recommendations for strengthening the accounting-decision interface.

1.3 Aim of the Study

The aim of this study is to examine the impact of accountancy information on the decision-making process in manufacturing firms, using Emenite Manufacturing Industry and Anammco Manufacturing Industry as case studies.

1.4 Objectives of the Study

The specific objectives of this study are to:

1. Examine the types of accountancy information available for decision-making at Emenite and Anammco manufacturing industries.
2. Assess the extent to which management utilizes accountancy information in strategic, tactical, and operational decision-making at both firms.
3. Determine the impact of accountancy information on the quality of decisions made at Emenite and Anammco.
4. Compare the use of accountancy information in decision-making between the two manufacturing firms.
5. Identify the challenges hindering the effective use of accountancy information for decision-making at both firms and propose recommendations for improvement.

1.5 Research Questions

The following research questions guide this study:

1. What types of accountancy information are available for decision-making at Emenite and Anammco manufacturing industries?
2. To what extent does management utilize accountancy information in strategic, tactical, and operational decision-making at both firms?
3. What impact does accountancy information have on the quality of decisions made at Emenite and Anammco?
4. How does the use of accountancy information in decision-making compare between Emenite Manufacturing Industry and Anammco Manufacturing Industry?
5. What are the major challenges hindering the effective use of accountancy information for decision-making at both firms, 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: Accountancy information has no significant impact on the decision-making process at Emenite and Anammco manufacturing industries.
• H₁: Accountancy information has a significant impact on the decision-making process at Emenite and Anammco manufacturing industries.

Hypothesis Two

• H₀: There is no significant relationship between the quality of accountancy information and the quality of decisions made at both manufacturing firms.
• H₁: There is a significant relationship between the quality of accountancy information and the quality of decisions made at both manufacturing firms.

Hypothesis Three

• H₀: Management’s utilization of accountancy information does not differ significantly between Emenite and Anammco manufacturing industries.
• H₁: Management’s utilization of accountancy information differs significantly between Emenite and Anammco manufacturing industries.

Hypothesis Four

• H₀: Challenges such as untimely information, inadequate staff training, and poor information technology do not significantly affect the use of accountancy information for decision-making at both firms.
• H₁: Challenges such as untimely information, inadequate staff training, and poor information technology significantly affect the use of accountancy information for decision-making at both firms.

1.7 Significance of the Study

This study is significant for several stakeholders. First, the management and staff of Emenite Manufacturing Industry and Anammco Manufacturing Industry will benefit from a systematic assessment of how accountancy information impacts their decision-making processes, enabling them to identify strengths, address weaknesses, and enhance the use of accounting information for better decisions. Second, other manufacturing firms in Nigeria, particularly those in the building materials and automobile sectors, can use the findings as a benchmark for evaluating and improving their own accounting-decision interfaces. Third, industry associations such as the Manufacturers Association of Nigeria (MAN) will gain insights into best practices and common challenges in using accounting information for decision-making, informing capacity-building programs and advocacy. Fourth, professional accounting bodies such as the Institute of Chartered Accountants of Nigeria (ICAN) and the Association of National Accountants of Nigeria (ANAN) will find value in the study’s identification of gaps in accounting information utilization, informing their training and continuing professional development (CPD) programs. Fifth, academics and researchers in management accounting, decision science, and manufacturing management will benefit from the study’s contribution to the literature on accounting information use in the Nigerian manufacturing context, particularly the comparative case study approach. Sixth, policymakers (such as the Federal Ministry of Industry, Trade and Investment) will gain insights into the information needs of manufacturing managers, informing policies that support accounting capacity building. Seventh, students of accounting, business management, and manufacturing will find the study useful as a practical illustration of the role of accounting information in real-world decision-making. Finally, the broader Nigerian economy will benefit as improved use of accountancy information leads to better decisions, more efficient manufacturing operations, increased competitiveness, and ultimately, economic growth.

1.8 Scope of the Study

This study focuses on the impact of accountancy information on the decision-making process in manufacturing firms, using Emenite Manufacturing Industry and Anammco Manufacturing Industry as comparative case studies. Geographically, the research is limited to the headquarters and primary manufacturing facilities of Emenite (located in Enugu State or its primary operational location) and Anammco (located in Anambra State). Both firms are Nigerian manufacturing companies in the building materials and automobile assembly sectors, respectively. Content-wise, the study examines the following areas: types of accountancy information available (financial statements, cost reports, budgets, variance analyses, etc.); decision-making levels (strategic, tactical, operational); utilization of accountancy information in various decisions (production, pricing, investment, procurement, staffing, etc.); perceived impact of accounting information on decision quality; comparison of practices between the two firms; and challenges (timeliness, accuracy, relevance, staff competence, technology, organizational culture). The study targets management staff (including General Managers, Production Managers, Finance Managers, Accountants), departmental heads, and other decision-makers at both firms. The time frame for data collection is the cross-sectional period of 2023–2024. The study does not cover other manufacturing firms (except for comparative purposes between the two), nor does it cover non-manufacturing organizations.

1.9 Definition of Terms

Accountancy Information: The financial data, reports, analyses, and statements generated from an organization’s accounting system, including financial statements, budgets, cost reports, variance analyses, and other managerial accounting reports.

Decision-Making Process: The sequential process of identifying a problem or opportunity, gathering relevant information, generating alternatives, evaluating alternatives, selecting the best alternative, implementing the decision, and evaluating the outcome.

Emenite Manufacturing Industry: A Nigerian manufacturing company specializing in the production of roofing and building materials, particularly fiber cement roofing sheets, flat sheets, and allied products; one of the two case study firms.

Anammco (Anambra Motor Manufacturing Company): A Nigerian automobile manufacturing and assembly company producing commercial vehicles, buses, and trucks; the second of the two case study firms.

Strategic Decisions: Long-term, high-stakes decisions that affect the entire organization, such as market entry, product line expansion, capital investment, and strategic alliances.

Tactical Decisions: Medium-term decisions that affect specific departments or functions, such as setting production targets, adjusting prices, or selecting suppliers.

Operational Decisions: Short-term, day-to-day decisions, such as scheduling production runs, approving overtime, or ordering raw materials.

Financial Accounting Information: Accountancy information prepared for external stakeholders (investors, creditors, regulators), including financial statements (balance sheet, income statement, cash flow statement) that are historical, standardized, and audited.

Management Accounting Information: Accountancy information prepared for internal decision-makers (managers), which can be forward-looking, customized, detailed, and not subject to external standards.

Information Quality: The characteristics of accountancy information that make it useful for decision-making, including relevance, faithful representation, comparability, verifiability, timeliness, and understandability.

Computerized Accounting System (CAS): A software-based system used to record, process, store, and report financial transactions electronically, enabling real-time access to accountancy information.

Variance Analysis: A management accounting technique that compares actual performance (costs, revenues) to budgeted or standard performance, identifying differences (variances) that require management attention.

Capital Budgeting: The process of evaluating long-term investment decisions (e.g., new machinery, new factories) using techniques such as net present value (NPV), internal rate of return (IRR), and payback period.

Break-Even Analysis: A decision-making tool that calculates the level of sales or production at which total revenue equals total costs, indicating the point at which a product or business becomes profitable.

Contribution Margin: The difference between sales revenue and variable costs, used in decision-making to determine the profitability of individual products, services, or customer segments.

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: Accountancy Information (the independent variable) and Decision-Making Process (the dependent variable). Additionally, the framework identifies the specific dimensions of each construct and the mediating mechanisms through which accountancy information influences decision-making (Miles, Huberman, and Saldaña, 2020).

The independent variable, Accountancy Information, refers to the financial data, reports, analyses, and statements generated from an organization’s accounting system. For the purpose of this study, accountancy information is conceptualized along seven key dimensions relevant to manufacturing firms like Emenite and Anammco: (a) financial statement information (balance sheet, income statement, cash flow statement, and statement of changes in equity), (b) cost accounting information (product costs, unit costs, cost behavior, cost-volume-profit relationships), (c) budgetary information (operating budgets, financial budgets, master budget, and budget variance reports), (d) performance measurement information (key performance indicators, balanced scorecard metrics, return on investment, residual income), (e) capital budgeting information (net present value, internal rate of return, payback period, profitability index), (f) inventory accounting information (inventory valuation, turnover ratios, economic order quantity), and (g) working capital information (receivables turnover, payables management, cash conversion cycle). Each of these information types serves different decision-making purposes and users (Horngren, Sundem, and Stratton, 2018; Drury, 2020).

The dependent variable, Decision-Making Process, refers to the sequential process of identifying problems or opportunities, gathering information, generating alternatives, evaluating alternatives, selecting the best alternative, implementing the decision, and evaluating outcomes. For the purpose of this study, decision-making is conceptualized along three hierarchical levels, each with distinct characteristics and information needs: (a) strategic decisions (long-term, high-stakes, affecting the entire organization—e.g., market entry, product diversification, capacity expansion, strategic alliances), (b) tactical decisions (medium-term, affecting specific departments or functions—e.g., pricing adjustments, supplier selection, production planning, marketing campaigns), and (c) operational decisions (short-term, day-to-day—e.g., production scheduling, overtime approval, raw material ordering, staffing assignments). Each level requires different types of accountancy information and uses that information differently (Anthony and Govindarajan, 2018; Mintzberg, Raisinghani, and Theoret, 1976).

The conceptual framework posits a positive relationship between the availability and quality of accountancy information and the effectiveness of the decision-making process. Specifically, when decision-makers at Emenite and Anammco have access to accurate, timely, relevant, and complete accountancy information, they are expected to: (a) identify problems and opportunities more accurately, (b) generate more feasible alternatives, (c) evaluate alternatives more rigorously using financial criteria, (d) select alternatives that maximize organizational value, (e) implement decisions with better understanding of financial implications, and (f) evaluate outcomes more objectively. Conversely, when accountancy information is unavailable, of poor quality, or not utilized, decision-making becomes speculative, intuitive, or politically driven, leading to suboptimal outcomes (Chenhall, 2003; Luft and Shields, 2003).

However, the framework also recognizes that the relationship between accountancy information and decision-making is not automatic or linear. Several mediating mechanisms influence this relationship. The framework identifies four primary mediating mechanisms: (a) information comprehension (the ability of decision-makers to understand and interpret accountancy information), (b) information relevance (the degree to which the available information matches the specific decision context), (c) information timeliness (whether information arrives before the decision deadline), and (d) management attitude (the willingness of decision-makers to use accounting information rather than rely on intuition or politics). For Emenite and Anammco, even if high-quality accountancy information is produced, it will not impact decision-making if managers cannot understand it, if it is not relevant to their decisions, if it arrives too late, or if managers prefer other bases for decisions (Kaplan and Atkinson, 2015; Garrison, Noreen, and Brewer, 2018).

The framework also identifies several moderating variables that influence the strength of the relationship between accountancy information and decision-making. These include: (a) organizational factors (firm size, organizational structure, centralization of decision-making, formalization of processes), (b) environmental factors (industry competition, market volatility, regulatory environment, economic conditions), (c) technological factors (sophistication of accounting information systems, integration with other systems, accessibility), (d) human capital factors (education and training of managers and accountants, experience, professional certifications), (e) cultural factors (organizational culture values data-driven decision-making or hierarchy and intuition), and (f) leadership factors (commitment of top management to evidence-based management). For Emenite and Anammco, the specific values of these moderating variables will determine the extent to which accountancy information impacts decision-making (Eze and Nwafor, 2019; Okafor and Udeh, 2021).

An important feature of this conceptual framework is the recognition of feedback loops. Decisions made based on accountancy information lead to outcomes that are recorded by the accounting system, generating new information for future decisions. Thus, the relationship is dynamic and evolving. A decision to invest in new machinery (based on capital budgeting analysis) will lead to actual cash flows that are recorded and reported, informing future investment decisions. Similarly, a decision to change pricing (based on cost and demand information) will lead to revenue outcomes that feed into future budgeting and pricing decisions. For Emenite and Anammco, this feedback loop means that the impact of accountancy information on decision-making should improve over time as organizations learn from outcomes (Simons, 2019).

The framework also distinguishes between the use of accountancy information for different decision types. Strategic decisions (e.g., whether to build a new factory) rely heavily on capital budgeting information, long-term financial projections, and risk analysis. Tactical decisions (e.g., whether to increase production next quarter) rely on budget variance reports, cost-volume-profit analysis, and contribution margin information. Operational decisions (e.g., how many units to produce today) rely on real-time inventory levels, production cost data, and efficiency metrics. For Emenite and Anammco, effective decision-making at all levels requires that the appropriate type of accountancy information is available and used at that level (Anthony and Govindarajan, 2018).

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 accountancy information (financial statements, cost, budget, performance, capital budgeting, inventory, working capital) and each level of decision-making (strategic, tactical, operational). Questions probe specific examples from Emenite and Anammco’s experiences. The framework also guides the analysis of secondary data, including organizational charts, decision protocols, and accounting reports (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 use of budgetary information for tactical decisions was more widespread and impactful than the use of capital budgeting information for strategic decisions, which was limited to larger firms. Studies on Asian manufacturing companies found that cost accounting information was the most frequently used type of accountancy information for operational decisions, while financial statement information was primarily used for external reporting rather than internal decision-making. In Nigeria, research on manufacturing firms has found that the use of accountancy information varies significantly by firm size, with larger firms using more sophisticated information for a wider range of decisions (Adebayo and Oyedokun, 2020; Eze and Nwafor, 2021; Okafor and Udeh, 2021).

The conceptual framework also addresses the unique characteristics of Emenite and Anammco as comparative case studies. Both are manufacturing firms but operate in different industries (building materials vs. automobile assembly) with different production processes, cost structures, and competitive dynamics. These differences may lead to different patterns of accountancy information use. For example, Emenite, with its continuous process manufacturing, may rely more on standard costing and variance analysis, while Anammco, with its discrete assembly operations, may rely more on job costing and project accounting. The framework includes industry and production technology as moderating variables that explain differences between the two firms (Emenite Limited, 2023; Anammco, 2022).

Visually, the conceptual framework for this study can be represented as a diagram with “Accountancy Information” (independent variable) at the left, with seven boxes (financial statements, cost, budget, performance, capital budgeting, inventory, working capital). An arrow points to “Decision-Making Process” (dependent variable) on the right, with three boxes (strategic, tactical, operational). Along the arrow are placed the four mediating mechanisms (comprehension, relevance, timeliness, attitude). Above the arrow are placed the moderating variables (organizational, environmental, technological, human capital, cultural, leadership). A feedback arrow from “Outcomes” back to “Accountancy Information” indicates the dynamic learning loop. 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 accountancy information on the decision-making process at Emenite and Anammco manufacturing industries. By disaggregating accountancy information into seven dimensions and decision-making into three hierarchical levels, and by acknowledging the mediating mechanisms, moderating variables, and feedback loops, 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 accountancy information on the decision-making process: the Rational Decision-Making Theory, the Contingency Theory, the Information Processing Theory, and the Agency Theory. These theories collectively provide a robust lens for understanding how accountancy information affects decision-making, why its impact varies across organizations and decision contexts, and how organizations can improve the use of accounting information (Simon, 1959; Donaldson, 2001; Galbraith, 1974; Jensen and Meckling, 1976).

2.2.1 Rational Decision-Making Theory

Rational Decision-Making Theory, most notably developed by Herbert Simon (1959) and rooted in classical economics, posits that decision-makers are rational actors who seek to maximize outcomes given available information and constraints. The rational decision-making model involves a sequential process: (a) identifying the problem or opportunity, (b) gathering relevant information, (c) generating alternative courses of action, (d) evaluating alternatives against established criteria, (e) selecting the best alternative, (f) implementing the decision, and (g) evaluating the outcome. Central to this model is the assumption that decision-makers have access to complete, accurate, and timely information, and that they have the cognitive capacity to process that information and select the optimal alternative. Accountancy information is critical to rational decision-making because it provides the quantitative data needed for evaluation (Simon, 1959; Mintzberg et al., 1976).

In the context of this study, Rational Decision-Making Theory explains why accountancy information is essential for effective decision-making at Emenite and Anammco. When managers at these firms decide whether to launch a new product line, they need cost data (to estimate production costs), revenue projections (to estimate sales), capital budgeting analyses (to evaluate investment returns), and cash flow forecasts (to assess liquidity impacts). Without such accountancy information, they cannot rationally evaluate alternatives. The theory predicts that organizations that provide managers with high-quality accountancy information and train them to use it will make better decisions and achieve superior performance. Conversely, organizations that deprive managers of such information or fail to train them in its use will make poorer decisions (Chenhall, 2003; Luft and Shields, 2003).

However, Rational Decision-Making Theory also recognizes the concept of “bounded rationality”—the idea that real-world decision-makers face limitations in cognitive capacity, time, and information availability. Simon argued that because of these limitations, managers often “satisfice” (choose a satisfactory rather than optimal alternative) rather than optimize. In the context of accountancy information, bounded rationality suggests that even when information is available, managers may not be able to process it fully. They may focus on a subset of available information, use heuristics (mental shortcuts), or rely on intuition when information is overwhelming. For Emenite and Anammco, this implies that providing more accountancy information is not always better; information must be presented in a way that is digestible and actionable for busy managers (Simon, 1959).

Empirical applications of Rational Decision-Making Theory in manufacturing contexts have found that managers who report using accountancy information in a structured, analytical way (e.g., preparing financial analyses for major decisions) tend to achieve better financial outcomes than those who rely on intuition. However, the theory also highlights that rational decision-making is time-consuming and may not be appropriate for all decisions (e.g., routine operational decisions where rules or habits suffice). For Emenite and Anammco, the theory suggests that accountancy information should be used for significant strategic and tactical decisions, while operational decisions may rely on simpler heuristics (Anthony and Govindarajan, 2018).

2.2.2 Contingency Theory

Contingency Theory, developed by organizational theorists such as Donaldson (2001) and Lawrence and Lorsch (1967), posits that there is no single best way to organize, manage, or make decisions. Instead, the optimal practices depend on the specific internal and external circumstances (contingencies) facing the organization. Key contingency factors include organizational size, technology, environment (uncertainty, complexity, munificence), strategy, and culture. In the context of management accounting and decision-making, Contingency Theory suggests that the design and use of accountancy information systems should be tailored to the organization’s specific contingencies. What works for a large, stable manufacturing firm may not work for a small, volatile one (Donaldson, 2001).

In the context of this study, Contingency Theory explains why the impact of accountancy information on decision-making may differ between Emenite and Anammco. Emenite (building materials) may face a different competitive environment (more dependent on construction activity, which is cyclical) than Anammco (automobile assembly, which may depend on transportation demand and import policies). Emenite may have a continuous process manufacturing technology, while Anammco may have discrete assembly technology. These differences suggest that the types of accountancy information needed, the frequency of reporting, and the decision-making processes may differ between the two firms. Contingency Theory predicts that firms that align their accountancy information systems with their specific contingencies will achieve better decision-making outcomes than firms that adopt generic or one-size-fits-all approaches (Chenhall, 2003).

Contingency Theory also explains variations in the use of accountancy information across decision levels. In a stable, predictable environment (low contingency), standardized accountancy reports may suffice for decision-making. In a turbulent, unpredictable environment (high contingency), managers may need more frequent, more detailed, and more forward-looking accountancy information. For Emenite and Anammco, which operate in the Nigerian economy characterized by volatility (exchange rate fluctuations, policy changes, inflation), the contingency perspective suggests that accountancy information systems should be designed for flexibility and rapid response. Static annual budgets, for example, may be less useful than rolling forecasts and real-time dashboards (Eze and Nwafor, 2021).

Empirical research in management accounting has strongly supported Contingency Theory. Studies have found that firms in uncertain environments use more sophisticated accounting information (e.g., non-financial measures, real-time reporting) than firms in stable environments. Similarly, larger firms use more formal and comprehensive accounting information than smaller firms. In Nigeria, research has found that manufacturing firms that align their accounting systems with their strategic priorities (e.g., cost leadership vs. differentiation) achieve better decision-making outcomes. For Emenite and Anammco, Contingency Theory suggests that the impact of accountancy information on decision-making will be greatest when information systems are customized to each firm’s unique circumstances (Okafor and Udeh, 2021).

2.2.3 Information Processing Theory

Information Processing Theory, developed by Galbraith (1974) and others, views organizations as information processing systems. According to this theory, organizations face uncertainty, which creates a need for information. The organization’s ability to process information (through rules, hierarchies, planning systems, and lateral communication) must match the information demands created by its environment and task complexity. When information processing capacity is insufficient relative to information demands, organizations experience “information overload” or, conversely, “information underload,” both of which impair decision-making. Effective organizations design structures and systems that achieve a “fit” between information processing requirements and capacity (Galbraith, 1974).

In the context of this study, Information Processing Theory explains how accountancy information affects decision-making at Emenite and Anammco through its impact on the organization’s information processing capacity. Accountancy information systems (including budgets, cost reports, variance analyses, and financial statements) are mechanisms for processing and transmitting financial information to decision-makers. When these systems are effective, they increase the organization’s information processing capacity, enabling it to handle greater complexity, uncertainty, and interdependency. This, in turn, leads to better decisions. Conversely, when accounting systems are weak or overwhelmed, decision-makers suffer from information overload (too much irrelevant or poorly organized information) or underload (insufficient information), both of which degrade decision quality (Galbraith, 1974; Chenhall, 2003).

Information Processing Theory also explains the importance of information aggregation and summarization. Raw transaction data (millions of individual sales, purchases, payments) cannot be processed directly by managers. Accountancy information systems aggregate this data into summaries (total sales, total expenses, inventory levels) and reports that highlight exceptions (variances, trends, anomalies). This aggregation function is critical for decision-making because it reduces the cognitive burden on managers while preserving essential information. For Emenite and Anammco, the design of their accounting reports—what information is included, how it is summarized, how exceptions are highlighted—directly affects the ability of managers to process information and make timely decisions (Simons, 2019).

Empirical studies have found that organizations with higher information processing capacity (including sophisticated accounting systems) make faster decisions, respond more quickly to environmental changes, and achieve better performance. However, information processing capacity is costly to build and maintain. The theory suggests that organizations should invest in accounting systems up to the point where the marginal benefit of additional information processing capacity equals the marginal cost. For Emenite and Anammco, this implies a need for regular assessment of whether their current accounting systems are sufficient for the complexity and uncertainty they face (Eze and Nwafor, 2019).

2.2.4 Agency Theory

Agency Theory, developed by Jensen and Meckling (1976), describes the relationship between principals (owners/shareholders) and agents (managers). The theory posits that agents may not always act in the best interests of principals due to information asymmetry (agents have more information about the organization than principals) and divergent interests (agents may pursue personal goals rather than shareholder value). Accountancy information serves as a monitoring mechanism that reduces information asymmetry and allows principals to evaluate agent performance. In the context of decision-making, Agency Theory explains why accountancy information is important not only for the decisions managers make but also for ensuring that managers are making decisions aligned with owner interests (Jensen and Meckling, 1976).

In the context of this study, Agency Theory explains how accountancy information used in decision-making at Emenite and Anammco serves dual purposes: it helps managers make better decisions (the information effect) and it helps owners monitor whether managers are making appropriate decisions (the control effect). When managers know that their decisions will be evaluated using accounting-based metrics (budget variance, ROI, profit margin), they are more likely to use accountancy information in their decision-making and to make decisions that align with owner interests. Conversely, when owners cannot monitor decisions (because accounting information is poor or not used), managers may pursue their own interests (e.g., empire building, excessive perquisites) at the expense of profitability (Jensen and Meckling, 1976; Luft and Shields, 2003).

Agency Theory also explains the role of performance measurement and compensation systems. When manager compensation is tied to accounting-based performance metrics (bonus for achieving budget targets, stock options tied to earnings per share), managers have strong incentives to use accountancy information in their decision-making and to make decisions that improve those metrics. However, this can also lead to dysfunctional behavior, such as earnings management (manipulating accounting numbers) or short-termism (sacrificing long-term value for short-term earnings). For Emenite and Anammco, designing performance measurement and compensation systems that align manager and owner interests without creating dysfunctional incentives is a key challenge (Simons, 2019).

Empirical research has found that firms with stronger alignment between accounting information, performance measurement, and compensation (e.g., using residual income or economic value added rather than simple profit measures) achieve better decision-making and performance. In Nigeria, studies have found that manufacturing firms that link manager bonuses to accounting metrics have more disciplined decision-making processes and higher profitability, but also higher levels of earnings management. For Emenite and Anammco, Agency Theory suggests that the impact of accountancy information on decision-making depends partly on the incentive systems in place (Adebayo and Oyedokun, 2020; Okafor and Udeh, 2021).

2.2.5 Synthesis of the Four Theories

Taken together, Rational Decision-Making Theory, Contingency Theory, Information Processing Theory, and Agency Theory provide a multi-layered theoretical foundation for this study. Rational Decision-Making Theory explains the normative ideal: accountancy information enables managers to evaluate alternatives and select optimal choices. Contingency Theory explains why the impact of accountancy information varies across firms and decision contexts: the optimal system depends on contingencies such as environment, technology, and strategy. Information Processing Theory explains the mechanisms: accountancy information increases organizational information processing capacity, reducing uncertainty and enabling better decisions. Agency Theory explains the motivational dimension: accountancy information aligns manager and owner interests, ensuring that decisions serve organizational rather than personal goals (Simon, 1959; Donaldson, 2001; Galbraith, 1974; Jensen and Meckling, 1976).

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 Rational Decision-Making Theory, whether managers at Emenite and Anammco report using accountancy information to evaluate alternatives; from Contingency Theory, whether differences between the two firms (industry, technology) lead to different patterns of accounting information use; from Information Processing Theory, whether the accounting systems provide information in a digestible, actionable format; and from Agency Theory, whether performance measurement and compensation systems align with accounting-based metrics. The framework suggests that improving the impact of accountancy information on decision-making requires attention to all four theoretical dimensions: providing relevant information (Rational), customizing to context (Contingency), ensuring processable formats (Information Processing), and aligning incentives (Agency) (Creswell and Creswell, 2018).

Critically, these theories also acknowledge limitations and tensions. Rational Decision-Making Theory’s assumption of optimization is often unrealistic; managers satisfice. Contingency Theory recognizes no universal best practice but provides limited guidance on specific designs. Information Processing Theory’s focus on quantity of information can miss issues of information quality. Agency Theory’s emphasis on monitoring can lead to excessive control and reduced manager initiative. Therefore, the theoretical framework does not offer simple prescriptions; rather, it provides a set of lenses for analyzing the complex reality of accountancy information use in decision-making at Emenite and Anammco (Saunders et al., 2019).

In conclusion, the theoretical framework of this study is firmly anchored in four well-established, complementary theories: Rational Decision-Making Theory (Simon, 1959), Contingency Theory (Donaldson, 2001), Information Processing Theory (Galbraith, 1974), and Agency Theory (Jensen and Meckling, 1976). These theories collectively explain the impact of accountancy information on the decision-making process, the factors that moderate this impact, the mechanisms through which information affects decisions, and the incentive alignment that makes information use effective. 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).