THE CHALLENGES OF COST BENEFIT ANALYSIS, IN A COMPUTERIZED ACCOUNTING SYSTEM (A CASE STUDY OF COCA-COLA BOTTLING COMPANY)

CHAPTER ONE: INTRODUCTION

1.1 Background of the Study

Cost-benefit analysis (CBA) is a systematic process used by organizations to evaluate the economic desirability of a project, investment, or policy by comparing its total expected costs against its total expected benefits. The fundamental principle of CBA is that an investment should only be undertaken if the present value of its benefits exceeds the present value of its costs, thereby indicating a net positive return to the organization. In the context of information technology (IT) and accounting systems, CBA serves as a critical decision-making tool that helps management determine whether the substantial financial outlay required for acquiring, implementing, and maintaining a computerized accounting system (CAS) is justified by the anticipated efficiency gains, cost savings, and strategic advantages (Boardman, Greenberg, Vining, and Weimer, 2018; Drury, 2020).

Computerized accounting systems have revolutionized the way organizations record, process, store, and report financial transactions. Unlike manual or semi-automated bookkeeping methods, CAS offers features such as real-time transaction processing, automated ledger posting, integrated financial reporting, error detection algorithms, and enhanced data security. For large manufacturing and distribution companies like Coca-Cola Bottling Company, which handle thousands of transactions daily across multiple locations, the transition from manual to computerized accounting is not merely an option but a competitive necessity. However, the decision to adopt or upgrade a CAS involves significant costs, including software licenses, hardware acquisition, implementation consulting, data migration, staff training, maintenance contracts, and potential downtime during transition (O’Brien and Marakas, 2018; Laudon and Laudon, 2020).

Coca-Cola Bottling Company, as part of the global Coca-Cola system, operates in a highly competitive and fast-paced beverage industry. The company’s operations encompass raw material procurement, production, bottling, warehousing, distribution, sales, and customer relationship management. Each of these functions generates financial data that must be accurately captured, processed, and reported. A computerized accounting system is therefore central to the company’s financial management infrastructure. However, conducting a reliable cost-benefit analysis for such a system presents unique challenges that distinguish it from CBA for other types of investments, such as plant and equipment. These challenges arise from the intangible nature of many benefits, the difficulty of measuring productivity improvements, the rapid pace of technological obsolescence, and the behavioral resistance of employees (Kaplan and Atkinson, 2015; Horngren, Sundem, and Stratton, 2018).

One of the primary challenges of cost-benefit analysis in a computerized accounting system is the accurate quantification of benefits. Unlike a new bottling machine, where benefits can be directly measured in terms of increased output per hour or reduced waste, the benefits of a CAS are often indirect, diffuse, and difficult to attribute solely to the system. For example, improved data accuracy leads to better management decisions, but isolating the contribution of the CAS from other factors (such as better-trained managers or favorable market conditions) is methodologically complex. Similarly, faster transaction processing reduces customer wait times and may increase customer satisfaction, but converting increased satisfaction into a monetary value requires subjective assumptions. These measurement difficulties mean that traditional CBA techniques, developed for tangible capital investments, may underestimate or misrepresent the true value of a CAS (Brealey, Myers, and Allen, 2017; Damodaran, 2019).

Another significant challenge is the treatment of intangible benefits. Computerized accounting systems can yield benefits such as improved internal control, reduced fraud risk, enhanced audit trail capabilities, faster financial closing cycles, better regulatory compliance, and increased employee morale (due to reduced manual drudgery). While these benefits are real and valuable, they do not have obvious market prices. The CBA practitioner must therefore use techniques such as contingent valuation (asking managers how much they would pay for these benefits), hedonic pricing (observing how these features affect market value of the firm), or shadow pricing (using estimates from comparable situations). Each of these techniques introduces subjectivity and potential bias, undermining the objectivity that CBA is supposed to provide (Mishan and Quah, 2020; Brent, 2018).

Cost estimation for computerized accounting systems also presents distinct challenges. While hardware and software purchase costs are relatively straightforward, many costs are hidden or difficult to forecast accurately. Implementation costs often exceed initial estimates due to unforeseen data compatibility issues, customization requirements, and the need for additional integration with legacy systems. Training costs are frequently underestimated, particularly when employees resist the new system and require extended support. Moreover, the cost of business disruption during the transition from old to new systems—including lost productivity, delayed processing, and increased error rates—can be substantial but is rarely captured in traditional CBA frameworks. For a company like Coca-Cola Bottling Company, where continuous operations are critical, a poorly planned transition could result in significant revenue losses (Ward and Peppard, 2016; Willcocks and Lacity, 2019).

The rapid pace of technological change adds another layer of complexity to CBA for CAS. Unlike a physical asset that may have a useful life of 10 to 20 years with predictable depreciation, accounting software can become obsolete within three to five years as vendors release new versions, cloud-based alternatives emerge, and user expectations evolve. This means that the CBA must consider not only the initial investment but also the costs of future upgrades, migration to new platforms, or even complete replacement before the end of the expected useful life. Discounting future benefits appropriately becomes more challenging when the system’s functional life is uncertain. Additionally, the option value of waiting for better technology (rather than investing now) must be considered—a dimension that traditional CBA often ignores (Bannister and Remenyi, 2020; Peppard and Ward, 2016).

Behavioral and organizational factors pose further challenges to accurate CBA. Computerized accounting systems change how work is performed, how information flows, and how decisions are made. Employees who fear job loss or who are uncomfortable with technology may resist using the system, leading to underutilization and lower-than-expected benefits. Conversely, the system may enable new ways of working (such as real-time performance dashboards) that were not anticipated in the original CBA, creating unplanned benefits. These behavioral responses are difficult to predict ex ante and are rarely captured in traditional CBA models, which assume that the system will be used as intended and that organizational context remains constant (Markus and Robey, 2018; Orlikowski, 2019).

The Coca-Cola Bottling Company provides an ideal case study for examining these challenges for several reasons. First, as a large organization with complex operations, the company has likely invested significantly in its accounting information systems, making the accuracy of its CBA decisions consequential. Second, the company operates in a competitive industry where cost control and efficiency are critical success factors; therefore, the stakes of overinvesting or underinvesting in CAS are high. Third, Coca-Cola Bottling Company’s global affiliation means it may be subject to corporate-wide IT standards and reporting requirements, which can constrain local CBA decisions. Fourth, the company has a history of technological adoption, providing a rich context for understanding how CBA has been applied (or misapplied) to CAS decisions over time (Coca-Cola Hellenic Bottling Company, 2021).

The period of this study is particularly relevant given the ongoing digital transformation in the beverage industry. From enterprise resource planning (ERP) systems to cloud-based accounting platforms and artificial intelligence-driven analytics, the options for computerized accounting have expanded dramatically. Each option comes with a different cost structure and benefit profile. A CBA that fails to capture the strategic benefits of data integration and real-time analytics may lead management to choose a cheaper, less capable system that ultimately constrains the company’s competitiveness. Conversely, a CBA that overestimates benefits or underestimates implementation complexity may lead to overinvestment in features that are never fully utilized (Davenport, 2018; Westerman, Bonnet, and McAfee, 2019).

From an academic perspective, the challenges of cost-benefit analysis for computerized accounting systems have received insufficient attention in the literature. Most textbooks on CBA focus on public sector projects (dams, highways, schools) or on tangible private sector investments (machinery, buildings). The specific methodological issues raised by IT investments—intangible benefits, rapid obsolescence, behavioral factors, and implementation risk—are often treated as secondary considerations. This study aims to fill this gap by providing an in-depth case analysis of how these challenges manifest in a real-world setting, using Coca-Cola Bottling Company as the focal organization. The findings will contribute to both the academic literature on CBA methodology and the practical guidance available to financial managers and IT decision-makers (Boardman et al., 2018; Brent, 2018).

Furthermore, the Nigerian context adds unique dimensions to the challenges of CBA for CAS. Nigerian firms face additional cost factors such as unreliable electricity supply (requiring backup generators for server rooms), limited local technical support for specialized accounting software, higher telecommunications costs, and currency exchange rate risks for imported software and hardware. These factors increase the total cost of ownership of CAS and reduce the net present value of benefits, often making the investment less attractive in Nigerian firms than in developed country counterparts. Yet, the competitive pressure to adopt modern accounting systems is equally strong. Understanding how Coca-Cola Bottling Company’s Nigerian operations navigate this trade-off provides valuable lessons for other firms operating in similar environments (Adebayo and Oyedokun, 2020; Okafor and Udeh, 2021).

Finally, this study is timely given the increasing adoption of cloud-based accounting systems (Software-as-a-Service, SaaS) in Nigeria. Cloud systems shift the cost structure from large upfront capital expenditures to recurring operational expenditures, fundamentally changing the CBA calculus. Benefits such as automatic updates, remote access, and scalability must be weighed against concerns about data security, internet dependency, and long-term vendor lock-in. Traditional CBA frameworks, developed for on-premise software, may not adequately capture the risk and return profile of cloud-based solutions. By examining the challenges of CBA in a specific company, this study will generate insights applicable to the broader debate on cloud adoption in the Nigerian business environment (Du, 2020; Ogunleye and Adebayo, 2020).

1.2 Statement of the Problem

Coca-Cola Bottling Company, like many large organizations, has invested substantial financial resources in computerized accounting systems over the years. However, it is unclear whether the cost-benefit analyses that preceded these investments were sufficiently accurate, comprehensive, and reliable. Evidence suggests that many organizations struggle with CBA for IT investments, often experiencing cost overruns, under-realized benefits, and systems that fail to meet performance expectations. At Coca-Cola Bottling Company, specific problems have been observed, including difficulty in quantifying the financial value of improved data accuracy, challenges in estimating implementation and training costs, disagreement among managers about which benefits to include in the analysis, and inadequate attention to risk and uncertainty. Furthermore, the company has experienced instances where post-implementation reviews revealed that actual benefits fell short of pre-implementation projections, casting doubt on the quality of the original CBA. The critical problem is the lack of a systematic examination of the specific challenges that Coca-Cola Bottling Company faces (or has faced) in conducting reliable cost-benefit analysis for its computerized accounting systems, and the absence of documented best practices for overcoming these challenges. Therefore, this study is motivated to identify, analyze, and propose solutions to the challenges of cost-benefit analysis in a computerized accounting system at Coca-Cola Bottling Company.

1.3 Aim of the Study

The aim of this study is to examine the challenges of cost-benefit analysis in a computerized accounting system, using Coca-Cola Bottling Company as a case study.

1.4 Objectives of the Study

The specific objectives of this study are to:

1. Identify the specific challenges encountered in conducting cost-benefit analysis for computerized accounting systems at Coca-Cola Bottling Company.
2. Examine how intangible benefits are identified and quantified in the company’s CBA process for CAS.
3. Assess the accuracy of cost estimation practices for CAS implementation and maintenance at the company.
4. Evaluate the treatment of risk, uncertainty, and technological obsolescence in the company’s CBA framework.
5. Propose practical solutions and improvements to enhance the reliability of cost-benefit analysis for CAS decisions at Coca-Cola Bottling Company.

1.5 Research Questions

The following research questions guide this study:

1. What are the specific challenges encountered in conducting cost-benefit analysis for computerized accounting systems at Coca-Cola Bottling Company?
2. How does the company identify and quantify intangible benefits (such as improved data accuracy and internal control) in its CBA process?
3. How accurate are the company’s cost estimation practices for CAS implementation, training, and ongoing maintenance?
4. How does the company address risk, uncertainty, and the risk of technological obsolescence in its CBA framework?
5. What practical solutions can be implemented to improve the reliability of cost-benefit analysis for CAS decisions at Coca-Cola Bottling Company?

1.6 Research Hypotheses

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

Hypothesis One

• H₀: The challenges of quantifying intangible benefits do not significantly affect the reliability of cost-benefit analysis for CAS at Coca-Cola Bottling Company.
• H₁: The challenges of quantifying intangible benefits significantly affect the reliability of cost-benefit analysis for CAS at Coca-Cola Bottling Company.

Hypothesis Two

• H₀: Cost estimation inaccuracies have no significant impact on the outcome of cost-benefit analysis for CAS at the company.
• H₁: Cost estimation inaccuracies have a significant impact on the outcome of cost-benefit analysis for CAS at the company.

Hypothesis Three

• H₀: There is no significant relationship between inadequate treatment of technological obsolescence and the overestimation of CAS benefits at Coca-Cola Bottling Company.
• H₁: There is a significant relationship between inadequate treatment of technological obsolescence and the overestimation of CAS benefits at Coca-Cola Bottling Company.

Hypothesis Four

• H₀: The company’s current CBA framework adequately captures the full range of costs and benefits associated with CAS implementation.
• H₁: The company’s current CBA framework does not adequately capture the full range of costs and benefits associated with CAS implementation.

1.7 Significance of the Study

This study is significant for several stakeholders. First, the management and financial decision-makers at Coca-Cola Bottling Company will benefit from a systematic identification of CBA challenges and practical recommendations for improvement, enabling them to make more informed and accurate investment decisions regarding computerized accounting systems. Second, other manufacturing and distribution companies in Nigeria and beyond can use the findings as a benchmark for evaluating and enhancing their own CBA practices for IT investments. Third, financial analysts, accountants, and IT project managers will gain insights into the methodological pitfalls of CBA for accounting systems, improving their professional practice. Fourth, academics and researchers in the fields of management accounting, information systems, and investment appraisal will find value in the study’s contribution to the literature on CBA methodology, particularly for intangible-intensive investments. Fifth, software vendors and IT consultants can use the findings to better articulate and document the benefits of their products, facilitating more accurate CBA by their clients. Sixth, professional bodies such as the Institute of Chartered Accountants of Nigeria (ICAN) and the Association of Certified Chartered Accountants (ACCA) may incorporate the study’s insights into their guidance materials on IT investment appraisal. Finally, the broader Nigerian economy will benefit as more firms adopt rigorous and reliable CBA practices, reducing wasteful IT spending and improving the productivity of capital invested in computerized accounting systems.

1.8 Scope of the Study

This study focuses on the challenges of cost-benefit analysis in a computerized accounting system, using Coca-Cola Bottling Company as a case study. Geographically, the research is limited to the Nigerian operations of Coca-Cola Bottling Company, with specific emphasis on its accounting and finance departments. The company is a major bottler and distributor of Coca-Cola products in Nigeria, operating under the Coca-Cola Hellenic Bottling Company network. Content-wise, the study covers the following CBA challenges: quantification of intangible benefits, cost estimation accuracy, treatment of risk and uncertainty, technological obsolescence, behavioral and organizational factors, and post-implementation review practices. The study targets managers, accountants, financial analysts, IT personnel, and internal auditors involved in CAS investment decisions at the company. The time frame for data collection is the cross-sectional period of 2023–2024, though retrospective data on past CAS investments will be considered. The study does not cover other types of investments (e.g., bottling equipment, vehicles, buildings) nor does it cover other Coca-Cola entities outside Nigeria.

1.9 Definition of Terms

Cost-Benefit Analysis (CBA): A systematic financial appraisal technique that compares the total expected costs of a project or investment against its total expected benefits, typically expressed in present value terms, to determine whether the investment is economically justified.

Computerized Accounting System (CAS): A software-based system used to record, process, store, summarize, and report financial transactions electronically, replacing or supplementing manual bookkeeping methods.

Intangible Benefits: Non-monetary advantages or improvements resulting from an investment that are difficult to measure directly, such as improved employee morale, enhanced brand reputation, better decision-making quality, or reduced fraud risk.

Tangible Benefits: Measurable, quantifiable advantages that can be directly assigned a monetary value, such as reduced labor costs, lower material waste, or faster transaction processing.

Implementation Costs: All expenses incurred to acquire, install, configure, and make operational a computerized accounting system, including software licenses, hardware, consulting fees, data migration, and initial training.

Technological Obsolescence: The risk that a computerized accounting system will become outdated, unsupported, or incompatible with other systems before the end of its expected useful life, requiring premature replacement or costly upgrades.

Discounting: The process of converting future costs and benefits into present value terms using an appropriate discount rate, based on the principle that a unit of value today is worth more than a unit of value in the future.

Net Present Value (NPV): The difference between the present value of all expected benefits and the present value of all expected costs; a positive NPV indicates that an investment is economically worthwhile.

Real Options: An approach to investment appraisal that recognizes the value of managerial flexibility to delay, expand, abandon, or otherwise modify an investment as future uncertainties are resolved.

Post-Implementation Review: An evaluation conducted after a computerized accounting system has been in operation for a period, comparing actual costs and benefits against the projections made in the original CBA.

Coca-Cola Bottling Company: The specific Nigerian bottling and distribution entity of Coca-Cola products that serves as the case study for this research.

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: Cost-Benefit Analysis (CBA) of Computerized Accounting Systems (the independent variable) and the Challenges encountered in that process (the dependent variable). Additionally, the framework identifies the components of CBA and the specific categories of challenges that arise in the CAS context (Miles, Huberman, and Saldaña, 2020).

The independent variable, Cost-Benefit Analysis of Computerized Accounting Systems, refers to the systematic financial appraisal process used to evaluate whether investing in a CAS is economically justified. For the purpose of this study, CBA is conceptualized along four sequential and interconnected stages: (a) cost identification and estimation (identifying all relevant costs associated with CAS acquisition, implementation, operation, and disposal), (b) benefit identification and valuation (identifying all relevant benefits, both tangible and intangible, and assigning monetary values to them), (c) discounting and net present value calculation (converting future costs and benefits to present values using an appropriate discount rate and computing the net present value or benefit-cost ratio), and (d) sensitivity and risk analysis (testing how changes in key assumptions affect the CBA outcome). Each stage presents unique challenges when applied to CAS investments (Boardman, Greenberg, Vining, and Weimer, 2018; Brealey, Myers, and Allen, 2017).

The dependent variable, Challenges of Cost-Benefit Analysis in a Computerized Accounting System, refers to the difficulties, obstacles, and methodological problems that arise when applying traditional CBA techniques to CAS investments. In this study, these challenges are conceptualized along five major dimensions: (a) intangible benefit quantification challenges (difficulty in assigning monetary values to non-financial benefits such as improved data accuracy, better internal control, and enhanced decision-making), (b) cost estimation challenges (difficulty in accurately forecasting implementation costs, training costs, disruption costs, and ongoing maintenance expenses), (c) risk and uncertainty challenges (difficulty in assigning probabilities to uncertain outcomes and incorporating risk into the analysis), (d) technological obsolescence challenges (difficulty in estimating useful life and accounting for rapid technological change), and (e) behavioral and organizational challenges (difficulty in predicting employee resistance, utilization rates, and organizational adaptations). Each of these challenge dimensions can affect the reliability and usefulness of the CBA output (Bannister and Remenyi, 2020; Willcocks and Lacity, 2019).

The conceptual framework posits that the magnitude and significance of these challenges are influenced by several contextual factors. These moderating variables include: (a) organizational size and complexity (larger, more complex organizations like Coca-Cola Bottling Company may face greater challenges due to the scale of integration required), (b) the type of CAS under consideration (cloud-based vs. on-premise, off-the-shelf vs. customized), (c) the experience and expertise of the CBA team (trained financial analysts may be better equipped to handle intangible benefits), (d) the organizational culture regarding IT investment (risk-averse cultures may overestimate costs, while innovation-oriented cultures may overestimate benefits), (e) the availability of historical data from past CAS implementations, and (f) the regulatory and competitive environment. The framework acknowledges that these moderating variables affect both the likelihood that challenges will arise and the severity of those challenges (Markus and Robey, 2018; Davenport, 2018).

An important feature of this conceptual framework is the feedback loop between post-implementation review and future CBA exercises. When organizations like Coca-Cola Bottling Company conduct post-implementation reviews—comparing actual costs and benefits against pre-implementation projections—they generate valuable data that can improve the accuracy of future CBA. However, if post-implementation reviews are not conducted, or if their findings are not systematically incorporated into future analyses, the same challenges may recur. The framework therefore highlights that challenges in CBA are not static; they can be mitigated through organizational learning and continuous improvement of appraisal practices (Peppard and Ward, 2016; Ward and Peppard, 2016).

The framework also distinguishes between challenges that are inherent to the nature of CAS (e.g., intangible benefits) and those that are due to poor implementation of CBA methodology (e.g., omission of relevant costs, use of inappropriate discount rates). Inherent challenges cannot be eliminated entirely but can be managed through appropriate techniques (such as contingent valuation or shadow pricing for intangible benefits). Implementation-related challenges can be eliminated through better training, adherence to standards, and use of structured CBA templates. For Coca-Cola Bottling Company, understanding this distinction is important for prioritizing improvement efforts (Mishan and Quah, 2020; Brent, 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 the CBA process (cost identification, benefit valuation, discounting, risk analysis) and each category of challenges (intangible quantification, cost estimation, risk, obsolescence, behavioral). Questions probe specific examples from Coca-Cola Bottling Company’s experience with CAS investments. The framework also guides the analysis of documentary evidence, such as CBA reports, project post-implementation reviews, and internal memoranda (Creswell and Creswell, 2018; Saunders, Lewis, and Thornhill, 2019).

Empirical studies that have employed similar conceptual frameworks in other organizational contexts provide validation for this approach. For example, studies on ERP (Enterprise Resource Planning) system investments in European manufacturing firms identified intangible benefit quantification as the most significant CBA challenge, followed by cost estimation inaccuracies. Studies on cloud accounting adoption in Asian firms highlighted the particular challenge of accounting for subscription-based costs versus traditional capital expenditure models. In the Nigerian context, research on IT investment appraisal in banking and telecommunications firms has documented challenges related to exchange rate risk (for imported software) and electricity costs (for on-premise systems). These findings support the relevance of the current framework for Coca-Cola Bottling Company (Du, 2020; Ogunleye and Adebayo, 2020).

The conceptual framework also addresses the unique characteristics of Coca-Cola Bottling Company that may moderate the relationship between CBA components and challenges. As a large multinational bottler, the company may have access to corporate-level CBA guidelines, experienced financial analysts, and historical data from other Coca-Cola entities globally. These resources may mitigate some challenges relative to smaller or less well-resourced firms. However, the company’s scale and complexity also mean that CAS implementation involves integration with multiple systems (inventory, distribution, sales, HR), increasing the scope for cost overruns and unanticipated benefits. The framework acknowledges these countervailing forces (Coca-Cola Hellenic Bottling Company, 2021).

Visually, the conceptual framework for this study can be represented as a diagram with CBA Process (independent variable) shown with an arrow pointing to CBA Challenges (dependent variable). CBA Process is broken into four boxes (cost identification, benefit valuation, discounting, risk analysis). CBA Challenges is broken into five boxes (intangible quantification, cost estimation, risk/uncertainty, obsolescence, behavioral). Along the connecting arrow are placed the moderating variables (organizational size, CAS type, CBA team expertise, organizational culture). A feedback arrow from “Post-Implementation Review” back to “CBA Process” indicates organizational learning. This visual representation aids readers in quickly grasping the hypothesized relationships (Saunders et al., 2019).

In summary, the conceptual framework of this study provides a clear, logical, and empirically grounded structure for investigating the challenges of cost-benefit analysis in computerized accounting systems at Coca-Cola Bottling Company. By disaggregating the CBA process into its constituent stages and categorizing challenges along five dimensions, and by acknowledging the role of contextual moderators 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) (Miles et al., 2020).

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 challenges of cost-benefit analysis in a computerized accounting system: the Net Present Value (NPV) Theory of Investment Appraisal, the Real Options Theory, the Resource-Based View (RBV) of the Firm, and the Socio-Technical Systems Theory. These theories collectively provide a robust lens for understanding why traditional CBA faces difficulties with CAS investments and how these difficulties can be addressed (Fisher, 1930; Myers, 1977; Barney, 1991; Trist and Bamforth, 1951).

2.2.1 Net Present Value (NPV) Theory of Investment Appraisal

Net Present Value (NPV) Theory, rooted in the work of Irving Fisher (1930) and later refined by financial economists, is the dominant normative framework for investment appraisal in both private and public sectors. The theory posits that a rational investor should undertake a project if and only if the present value of its expected future cash inflows exceeds the present value of its expected future cash outflows, i.e., NPV > 0. The NPV calculation requires three key inputs: (a) the stream of expected future cash flows (both costs and benefits), (b) the appropriate discount rate to convert future values to present values, and (c) the expected useful life of the investment. While mathematically elegant, the theory makes strong assumptions that are often violated in the context of computerized accounting systems (Fisher, 1930; Brealey et al., 2017).

In the context of this study, NPV Theory explains why CBA for CAS is challenging by highlighting the assumptions that are difficult to satisfy. First, NPV assumes that all relevant costs and benefits can be identified and quantified in monetary terms. For CAS, many benefits (improved data accuracy, better internal control, enhanced decision-making) are not directly observable as cash flows and are difficult to monetize. Second, NPV assumes that cash flows can be predicted with reasonable certainty. For CAS, the rapid pace of technological change makes long-term cash flow predictions highly uncertain; a system that seems optimal today may be obsolete in three years. Third, NPV assumes that the discount rate is constant and known. For CAS investments, which often have option-like features (the ability to expand, delay, or abandon), a constant discount rate may be inappropriate (Bannister and Remenyi, 2020; Damodaran, 2019).

NPV Theory also explains the challenge of selecting the appropriate useful life for CAS. Unlike a physical asset such as a bottling machine, which has a predictable physical life and gradual decline in efficiency, accounting software may become functionally obsolete long before it ceases to work. The useful life of CAS is determined not by wear and tear but by vendor support policies, compatibility with other systems, and user expectations. Estimating useful life is therefore highly subjective, yet it has a large impact on NPV. A five-year useful life assumption may yield a negative NPV, while a seven-year assumption may yield a positive NPV, even if cash flow estimates are otherwise identical (Ward and Peppard, 2016).

Despite these challenges, NPV Theory remains the benchmark against which other appraisal methods are judged. Understanding its limitations in the CAS context is essential for improving CBA practice. For Coca-Cola Bottling Company, the theory suggests that CBA analysts should be explicit about assumptions, conduct extensive sensitivity analysis, and consider supplementing NPV with other methods (such as real options or balanced scorecard) that capture intangible and strategic benefits not reflected in discounted cash flows (Horngren et al., 2018; Drury, 2020).

2.2.2 Real Options Theory

Real Options Theory, developed by Stewart Myers (1977) and others, addresses a key limitation of traditional NPV: its inability to capture the value of managerial flexibility in the face of uncertainty. While financial options give the holder the right (but not the obligation) to buy or sell a financial asset at a predetermined price, real options give managers the right (but not the obligation) to take specific actions regarding real assets. Common real options include: the option to delay (wait for better information before investing), the option to expand (increase investment if early results are favorable), the option to abandon (cut losses if outcomes are poor), and the option to switch (change input or output mix in response to market conditions). Real Options Theory argues that when uncertainty is high and managerial flexibility exists, traditional NPV undervalues investments because it ignores the value of these options (Myers, 1977; Dixit and Pindyck, 1994).

In the context of this study, Real Options Theory explains why traditional CBA for CAS may systematically underestimate the value of investments and why analysts face the challenge of capturing option value. A CAS investment often comes with real options. For example, implementing a modular CAS allows the company to expand functionality over time (option to expand). Choosing a cloud-based CAS with month-to-month subscription allows the company to switch vendors if a better system emerges (option to switch). Delaying a major CAS upgrade until the next software version is released allows the company to avoid committing to an obsolete system (option to delay). Traditional NPV, which treats the investment as a now-or-never proposition with fixed future cash flows, cannot capture these flexibilities (Brealey et al., 2017; Damodaran, 2019).

The challenge for CBA practitioners is that real options are difficult to value. Unlike financial options, which trade in liquid markets with observable prices, real options are unique to each firm and investment context. Valuing them requires complex mathematical models (such as binomial trees or Black-Scholes adaptations) and subjective inputs regarding volatility, time to expiration, and exercise price. Many organizations lack the expertise to perform such valuations, leading them to ignore real options altogether, thereby undervaluing CAS investments that offer significant flexibility. For Coca-Cola Bottling Company, Real Options Theory suggests that the company’s CBA practice should be enhanced to explicitly identify and value real options embedded in CAS investments (Willcocks and Lacity, 2019; Peppard and Ward, 2016).

Real Options Theory also explains the challenge of timing and staging of CAS investments. Rather than a single “go/no-go” decision, CAS adoption often occurs in stages: pilot testing, departmental rollout, company-wide implementation, and integration with other systems. Each stage represents a decision point where the company can proceed, modify, or abandon based on information gained. Traditional CBA, which assumes a single upfront investment, fails to capture the value of this staged approach. For Coca-Cola Bottling Company, the theory suggests that CBA should be conducted for each stage, with explicit recognition that future stages are contingent on successful outcomes of earlier stages (Markus and Robey, 2018).

2.2.3 Resource-Based View (RBV) of the Firm

The Resource-Based View (RBV) of the firm, developed by Jay Barney (1991) and others, shifts the focus of strategic analysis from external market positioning to internal resources and capabilities. According to RBV, firms achieve sustainable competitive advantage not merely by exploiting market opportunities, but by developing resources that are valuable, rare, imperfectly imitable, and non-substitutable (VRIN). Resources can be tangible (physical assets, financial capital) or intangible (knowledge, reputation, organizational routines, information systems). In the RBV framework, investments in information technology, including computerized accounting systems, are strategic to the extent that they contribute to the development of VRIN resources (Barney, 1991; Peteraf, 1993).

In the context of this study, RBV explains why traditional CBA for CAS may undervalue investments by focusing only on direct, quantifiable cost savings and revenue enhancements while ignoring strategic benefits related to resource development. A CAS may not generate large direct cash flows, but it may enable the development of a valuable, rare, and hard-to-imitate resource: real-time financial information that supports faster and more accurate strategic decisions. This capability, once developed, can be applied across multiple products, markets, and time periods, generating competitive advantage that far exceeds the direct benefits captured in traditional CBA. However, because these strategic benefits are diffuse, long-term, and difficult to attribute solely to the CAS, they are often omitted from CBA, leading to systematic undervaluation (Wade and Hulland, 2004; Melville, Kraemer, and Gurbaxani, 2004).

The challenge for CBA practitioners is that RBV does not provide a straightforward valuation method. How much is a “faster decision-making capability” worth? How does one monetize “improved data integration across departments”? Unlike tangible benefits, which can be estimated from market prices or historical cost data, strategic resource benefits require judgement, benchmarking, and strategic analysis. Many organizations therefore omit them entirely, or include them only as qualitative notes, creating a bias against CAS investments that offer strategic rather than operational benefits. For Coca-Cola Bottling Company, RBV suggests that CBA should be complemented with strategic analysis that identifies how the CAS contributes to VRIN resources, even if those contributions cannot be precisely monetized (Kaplan and Norton, 2018; Davenport, 2018).

RBV also explains the challenge of capturing complementarities between CAS and other organizational resources. The value of a CAS depends not only on the system itself but on how it interacts with other resources: trained employees, reengineered processes, supportive organizational culture, and aligned incentive systems. A CAS may generate little benefit if implemented in isolation, but significant benefit if implemented as part of a broader transformation. Traditional CBA, which typically treats the CAS as a standalone investment, cannot capture these complementarities. For Coca-Cola Bottling Company, this implies that CBA should be conducted at the level of the overall business process or strategic initiative, not just the software purchase (Orlikowski, 2019; Westerman et al., 2019).

2.2.4 Socio-Technical Systems Theory

Socio-Technical Systems Theory, originating from the work of Trist and Bamforth (1951) at the Tavistock Institute, emphasizes that organizations are composed of two interacting subsystems: the social subsystem (people, skills, culture, relationships, incentives) and the technical subsystem (tools, technology, processes, infrastructure). According to the theory, optimal organizational performance is achieved when these two subsystems are jointly optimized—designed and aligned to fit each other—rather than optimizing the technical subsystem independently of the social or vice versa. The theory critiques purely technical approaches to system design and implementation that ignore the human and organizational dimensions (Trist and Bamforth, 1951; Appelbaum, 1997).

In the context of this study, Socio-Technical Systems Theory explains the behavioral and organizational challenges of CBA for CAS. Traditional CBA treats the CAS as a purely technical investment: the system is acquired, installed, and benefits automatically flow. However, in reality, the benefits of a CAS depend critically on how the social subsystem responds. If employees resist using the system (due to fear of job loss, lack of training, or dislike of new procedures), the realized benefits will fall short of projections. If managers do not trust the system’s outputs or continue to rely on manual workarounds, the expected efficiency gains will not materialize. Conversely, if the system enables new forms of collaboration, empowerment, or decision-making that were not anticipated, benefits may exceed projections. Traditional CBA, which assumes a static and compliant social subsystem, cannot capture these socio-technical dynamics (Markus and Robey, 2018; Orlikowski, 2019).

The challenge for CBA practitioners is that behavioral responses are difficult to predict ex ante. Will employees embrace the new CAS or resist it? How much training will be required to achieve proficiency? Will the system lead to job losses, and if so, what are the costs (severance, morale effects) and benefits (labor cost savings)? These questions cannot be answered by financial analysis alone; they require insights from organizational behavior, change management, and industrial psychology. Yet, these insights are rarely integrated into formal CBA. For Coca-Cola Bottling Company, Socio-Technical Systems Theory suggests that CBA should include explicit consideration of implementation strategies, training budgets, change management activities, and contingency plans for addressing resistance (Laudon and Laudon, 2020; O’Brien and Marakas, 2018).

Socio-Technical Systems Theory also explains the challenge of estimating the “disruption costs” of CAS implementation. During the transition from old to new systems, productivity often falls before it rises (a J-curve effect). Employees must learn new procedures, data must be migrated and validated, and initial errors must be corrected. The magnitude and duration of this disruption depend on the fit between the new system and existing work practices, the quality of training, and the change management approach. Traditional CBA often ignores disruption costs entirely or grossly underestimates them, leading to overoptimistic benefit projections. For Coca-Cola Bottling Company, which operates in a competitive environment where even short disruptions can lose customers to rivals, accurate estimation of disruption costs is essential (Bannister and Remenyi, 2020; Willcocks and Lacity, 2019).

2.2.5 Synthesis of the Four Theories

Taken together, NPV Theory, Real Options Theory, Resource-Based View (RBV), and Socio-Technical Systems Theory provide a multi-layered theoretical foundation for this study. NPV Theory explains the fundamental structure of CBA and highlights the assumptions (perfect information, stable environment, no flexibility) that are violated in the CAS context. Real Options Theory addresses one key limitation of NPV by capturing the value of managerial flexibility under uncertainty, explaining why CAS investments with option-like features are systematically undervalued by traditional CBA. RBV expands the scope of benefits beyond direct cash flows to include strategic resource development, explaining why CAS investments that build VRIN capabilities may be undervalued. Socio-Technical Systems Theory adds the human and organizational dimension, explaining why behavioral factors and implementation dynamics create gaps between projected and realized benefits (Fisher, 1930; Myers, 1977; Barney, 1991; Trist and Bamforth, 1951).

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 NPV Theory, the specific violations of NPV assumptions that create challenges for Coca-Cola Bottling Company; from Real Options Theory, whether the company identifies and values real options in its CAS investments; from RBV, whether the company considers strategic resource development in its CBA; and from Socio-Technical Systems Theory, how the company accounts for behavioral and implementation factors. The framework suggests that improving CBA for CAS requires not just better estimation techniques but a fundamental rethinking of the appraisal paradigm to incorporate flexibility, strategy, and socio-technical dynamics (Creswell and Creswell, 2018).

Critically, these theories also acknowledge that there are no simple solutions. Real Options valuation requires sophisticated expertise. RBV valuation requires strategic judgement rather than algorithmic calculation. Socio-Technical analysis requires insights from multiple disciplines. The appropriate response to the challenges of CBA for CAS is not to abandon quantitative analysis but to complement it with qualitative, strategic, and behavioral analysis, and to recognize that CBA is a decision support tool, not a decision-making algorithm. For Coca-Cola Bottling Company, the theoretical framework implies that the company should invest in developing its CBA capabilities—training analysts in real options, integrating strategic analysis into financial appraisal, and incorporating change management expertise into the investment planning process (Ward and Peppard, 2016; Peppard and Ward, 2016).

In conclusion, the theoretical framework of this study is firmly anchored in four well-established, complementary theories: Net Present Value Theory (Fisher, 1930), Real Options Theory (Myers, 1977), Resource-Based View (Barney, 1991), and Socio-Technical Systems Theory (Trist and Bamforth, 1951). These theories collectively explain the challenges of cost-benefit analysis for computerized accounting systems, including the difficulty of quantifying intangible benefits, estimating costs, accounting for uncertainty and flexibility, capturing strategic resource development, and predicting behavioral responses. 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) (Saunders et al., 2019).