Notes from litterature (reading material) Indholdsfortegnelse Notes from lectures (reading material).......................................................................................................... 1 Lecture 1 – Introduction and Data structure + IT ......................................................................................... 1 Shamshin (E/R diagrams) ............................................................................................................................. 1 Database Normalization ................................................................................................................................ 3 Worre 1994 .................................................................................................................................................... 4 Näsi & Rohde 2007 ....................................................................................................................................... 6 Lecture 2 – Variability accounting (Aarhus School) and CPH School ....................................................... 9 Israelsen 1996 ............................................................................................................................................... 9 Israelsen & Rohde 2005 .............................................................................................................................. 10 Israelsen 1993 Kap 1-4 ............................................................................................................................... 13 Appendix A – VAMA case – Variability Accounting ..................................................................................... 15 Lecture 3 – Variability accounting cont. + manipulation of cost data – E.g. activity based costing .... 17 Cooper og Kaplan 1998 Chapter 6+7 – ABC + resource capacity ............................................................. 17 Israelsen og Kristensen 2015 - Characteristics and evaluation of Time-Driven Activity Based Costing based on ABC’s Development..................................................................................................................... 19 Lecture 1 – Introduction and Data structure + IT Shamshin (E/R diagrams) This document is a tutorial on Entity Relationship Diagrams (ERDs), covering their history, uses, components, and various notations. Let's summarize the key takeaways: What is an ERD? An Entity Relationship Diagram (ERD) is a visual representation of how "entities" (people, objects, concepts) relate to each other within a system. They're primarily used for designing relational databases but find applications in various fields like software engineering, business systems analysis, and research. ERD components map to grammatical structure (entities as nouns, relationships as verbs). The tutorial also mentions the relationship of ERDs to Data Structure Diagrams (DSDs) and Data Flow Diagrams (DFDs), but doesn't elaborate on their differences. History of ERDs Peter Chen is credited with developing ERDs in 1976, building on earlier work by Charles Bachman and A.P.G. Brown. The tutorial briefly notes that the conceptualization of interconnectedness dates back to ancient Greece. James Martin also contributed to the development of ERDs and their relationship to Unified Modeling Language (UML). Uses of ERDs ERDs are valuable tools for: Database Design: Modeling and designing relational databases, considering both logical (business rules) and physical (technology-specific) aspects. Database Troubleshooting: Analyzing existing databases to identify and fix logical or deployment problems. Business Information Systems: Designing and analyzing relational databases for business processes. Business Process Re-engineering (BPR): Analyzing and modeling new database structures. Education: Designing educational databases. Research: Creating databases for analysis of structured data. Components of an ERD ERDs consist of: Entities: Represented as rectangles; they represent categories of things (e.g., students, courses, professors). An entity instance is a specific example of an entity (e.g., John Smith). Relationships: Shown as diamonds or labels on connecting lines; they illustrate the actions or associations between entities (e.g., "enrolls in"). Attributes: Represented as ovals; they are properties or characteristics of entities or relationships (e.g., student name, course title, date completed). Attributes can be simple, composite (made up of sub-attributes), derived (calculated from other attributes), single-valued, or multi-valued. The tutorial shows examples of composite and multi-valued attributes (Figure 13 and 14). Cardinality: Defines the numerical relationship between entities (e.g., one-to-one, one-to-many, many-to-many) and is visually represented in various ways, depending on the notation style (Figure 15 shows examples). The concept of obligated or participation constraint (mandatory vs. optional participation in a relationship) is also introduced. Special Entity Types Weak Entities: Dependent on another entity and lack a unique identifier; usually represented with double lines. They can be avoided by adding a surrogate identifier (Figure 16 shows an example with a surrogate identifier). Associative Entities: Combine attributes and relationships; they behave like regular entities but serve to link other entities (Figure 16 shows an example). ERD Notation Styles The tutorial details several ERD notation styles (Chen, Crow's Foot, Martin, Bachman, IDEF1X, Barker, Min-Max/ISO), showing how they represent entities, relationships, attributes, and cardinality using different symbols and conventions (Figures 28-34 provide visual comparisons of several notation styles). Creating ERDs The tutorial outlines steps for creating ERDs (Figure 20 walks through steps to create an ERD for a university course registration system) and explains how to create ERDs from existing databases, emphasizing the importance of proper planning, clarity, and consistency (Figure 21 shows the use of a program to automatically generate an ERD from existing database data). Key Types in DBMS The document covers different key types in database management systems (DBMS), including: super key, candidate key, primary key, alternate key, foreign key, partial key, composite key, unique key, surrogate key, and secondary key. These are described in detail (Figures 23-27 illustrate the relationships between the various key types). The tutorial provides a comprehensive guide to understanding and creating ERDs, highlighting different notations and best practices. Remember to consult the original document for visual representations (diagrams) and specific details. Database Normalization This document is a practical guide to database normalization. Here's a summary of the key points and takeaways: What is Database Normalization? Database normalization is a process for organizing data within a database to reduce redundancy and improve data integrity. It aims to eliminate data anomalies (insertion, deletion, and update anomalies) that can occur during data modification. Goals and Benefits of Normalization The primary goals of normalization are to: Eliminate redundant data Ensure data dependencies are logical Protect against anomalies Improve data integrity Simplify queries Key benefits include more efficient data storage, reduced disk space usage, improved data integrity and consistency, simpler data models, and easier data modification. Normalization Levels (Normal Forms) The guide explains three main normal forms: First Normal Form (1NF): Eliminates repeating groups of data, uses atomic values (indivisible data elements), and defines a primary key for each table. Second Normal Form (2NF): Meets all 1NF requirements and eliminates partial dependencies. Partial dependencies occur when a non-key attribute depends on only part of a composite primary key. Third Normal Form (3NF): Meets all 2NF requirements and eliminates transitive dependencies. Transitive dependencies exist when a non-key attribute depends on another non-key attribute, which in turn depends on the primary key. The guide mentions that higher normal forms exist (like Boyce-Codd Normal Form), but most databases only normalize to 3NF. Anomalies and Examples The document illustrates how unnormalized databases are prone to anomalies (insertion, deletion, update) using an example of a table storing book and author data. The example demonstrates how normalization transforms an unorganized database design into a wellstructured one that eliminates redundancy and avoids anomalies (Figures shown in the text illustrate this). When to Denormalize Denormalization (intentionally reducing normalization) can sometimes be beneficial despite increasing redundancy and anomaly risks. It can improve read performance (by avoiding joins) but should only be used when performance gains outweigh the increased risks to data integrity. Tools and Technologies for Normalization Various tools (ER modeling tools, DBMS features) and technologies help in the normalization process. ER modeling tools provide a visual representation of database structure, while modern DBMSs have built-in functions to enforce normalization rules. Automated tools can also aid in identifying functional dependencies and suggesting table partitions. Challenges and Common Mistakes Common challenges and mistakes in normalization include: Over-normalization: Creating excessively complex database structures. Under-normalization: Failing to adequately apply normalization principles. Ignoring Application Needs: Designing a database that doesn't align with application requirements. Ignoring the Evolving Nature of Data: Not adapting the database design to changes in data and business requirements. Impact of Modern Databases The guide acknowledges the impact of modern database systems, including NoSQL databases, on the application of normalization principles. NoSQL databases frequently employ denormalization techniques to optimize read performance, often prioritizing scalability and flexible schema design over strict adherence to traditional relational normalization. Conclusion Database normalization remains crucial for efficient and scalable data management. The guide emphasizes the need for careful planning, a thorough understanding of data characteristics, and continuous monitoring to ensure database designs remain robust and adaptable. This summary provides a comprehensive overview. Always refer to the original document for detailed information and illustrations. Note that the diagrams mentioned were not directly provided in this text. Worre 1994 This article traces the evolution of management accounting in Denmark from the 1930s to 1994, highlighting the shift from imitative cost accounting to a more nuanced, management-oriented approach. Early Influences and the German Model (1930s-1940s) Early Danish management accounting was heavily influenced by German practices, focusing on detailed cost allocation to products using cost centers and a dualistic accounting system (separating internal and external accounting). The work of Palle Hansen, particularly his Den industrielle Kontoplan (The Industrial Chart of Accounts) from 1940, is cited as a key development, introducing the concepts of cost centers, detailed periodization, and internal cost calculations (depreciation, interest) to improve product cost accuracy and control. However, this approach is considered an "idealized endeavor of true product costing" and somewhat inflexible. The Rise of Variability Accounting (1950s-1960s) Vagn Madsen is credited with introducing variability accounting, emphasizing the need for unbiased cost data applicable to various management purposes. This approach classifies costs based on their variability (how they change with activity levels) and reversibility (how easily they can be adjusted). Madsen's work stresses the importance of understanding the interplay between cost behavior and management decisions. Figure 1 illustrates the hierarchical recording of cost data by departments and cost objects. Contribution Accounting and a More Business-Oriented Approach (1950s-1970s) Palle Hansen's later work champions contribution accounting, advocating a more pragmatic approach focusing on understanding the relationship between costs and profitability rather than striving for perfectly accurate product costing. He emphasizes the separation of variable costs (directly related to production volume) from capacity costs (less directly related to activity), advocating for budget control and segmented profitability analyses. The Integrated Danish Model (1970s-1994) Zakken Worre synthesizes these earlier approaches, arguing for a flexible management accounting model that integrates cost and budget data, emphasizing the importance of understanding both ex-ante (planning) and ex-post (analysis) aspects of the accounting system. He promotes the use of "inspiration analyses," non-periodic analyses connecting contribution margins to capacity costs for strategic decision-making. The model also uses a "capacity network" (Figure 2) to visualize the relationships between different capacities (e.g., accommodation, material, staff) and their costs, illustrating both horizontal (specialization of functions) and vertical (management layers) aspects of the organization. The model also considers the degree of variability and reversibility of different costs, emphasizing the need for direct attribution and flexible reporting, avoiding arbitrary allocations. Figures 3 and 4 illustrate the cost classification criteria and the basic cost accounting model for capacity cost tracking. Figure 5 depicts the SOR model of marketing communications and a cost accounting model to reflect its internal and external dimensions. Finally, Figure 6 provides an example of how to use attributes of pure cost and sales administration for classifying marketing costs, with Figure 7 giving an example of an attributation matrix for this. Key Takeaways The Danish management accounting model emphasizes: Flexibility: Adapting cost accounting to fit specific organizational needs and management goals. Simplicity and Clarity: Avoiding complex, inflexible systems in favor of usable information. Integration of Planning and Control: Connecting budgeting and accounting for better management decision-making. Understanding Cost Behavior: Classifying costs according to their variability and reversibility to explain their dynamics. Emphasis on Qualitative Understanding: Using quantitative data to support qualitative managerial insights. The article highlights a gradual shift from a purely imitative, rules-based approach to a more flexible and insightful management accounting model tailored to the specific characteristics of Danish businesses. It's emphasized that this model is not a rigid system but rather a framework that should be adapted to individual circumstances. The model is also distinguished by its extensive use of action research, linking theory to real-world practices. Näsi & Rohde 2007 Here's a summary of the provided text, structured by relevant headlines and written in fluent English. Note that some Danish terms are retained where direct translation would be unclear or inaccurate. **Development of Cost and Management Accounting Ideas in the Nordic Countries** This chapter examines the historical development of cost and management accounting theories and practices in Denmark, Finland, Norway, and Sweden during the 20th century. The focus is on dominant themes and uniquely Nordic innovations, recognizing that most ideas originated in larger industrial nations (Germany, UK, USA) but also traveled between Nordic countries. **Introduction** The study specifically focuses on Denmark, Finland, Norway, and Sweden, highlighting their shared history and cultural connections, including linguistic proximity, which facilitated the cross-border exchange of accounting ideas. The authors' initial plan for a comprehensive overview of the entire history was abandoned due to its scope; instead, the focus shifted to key topics and influential figures. **Theory—'Travels of Ideas'—Imitations and Local Translations** The authors utilize the "Travels of Ideas" framework to analyze the spread of management accounting concepts. They argue that ideas aren't simply copied but are adapted and translated to fit local contexts, using metaphors of "travel" and "imitation." Key actors in this dissemination include academics, consultants, and publications. **The 'Travel' of the German Business School (Handelshochschule) Concept to the Nordic Countries** The establishment of business schools in the Nordic countries (starting with Stockholm in 1909, then Helsinki, Copenhagen, and Bergen) significantly influenced the development of accounting. These schools initially adopted the German model, evident in the recruitment of German professors and the adoption of German terminology and principles. Key figures like Eugen Schmalenbach, Ernst Walb, Oscar Sillén, and Albert ter Vehn played crucial roles in this transmission. Finland followed Sweden's lead in establishing similar institutions. The strong German influence extended beyond terminology, shaping practices and influencing education. **Translations of Unified Costing Principles and Standard Chart of Accounts** The adoption of unified costing principles and standard charts of accounts in the Nordic countries was heavily influenced by Germany, particularly Schmalenbach's work. Sweden saw early efforts at standardization through the Swedish Institute of Standards (SIS), which involved a significant debate on the merits of different approaches. Albert ter Vehn's intervention was crucial in Sweden, influencing the final proposals. Norway and Finland also saw attempts at standardization, though they faced unique challenges and interactions with other models, including those from the USA. **The Translation of 'The Marginalist Idea' in the Nordic Countries** The mid-20th century saw a shift toward marginal costing and contribution margin analysis in the Nordic countries. The discussion of full costing versus variable costing was vigorous, influenced by the work of academics from the UK and USA and by the practical experiences of industry leaders. In Sweden, for instance, the adoption of the Mekanförbundet chart allowed for the application of both full and variable costing. In Finland, Martti Saario's priority order of costs theory provided an independent but complementary perspective. Denmark saw influential contributions by Palle Hansen, who championed the direct costing (contribution margin) principle. Norway also experienced a transition toward variable costing, though not as definitively as some other countries. **The Advent and Translations of Budgeting in the Nordic Countries** The post-WWII era saw the rise of budgeting in Nordic management accounting, strongly influenced by US practices. This involved a shift from cost control towards strategic planning and the integration of budgeting into management systems. Henrik Virkkunen's work in Finland emphasized budgeting as a management tool. Palle Hansen played a crucial role in introducing budgeting to Denmark. Sweden saw strong initial influence from US models, but with a later focus on its integration with management systems. Finland and Norway showed a mix of approaches, with some research focusing on the behavioral aspects of budgeting. The overall trend was toward greater integration of budgeting into broader organizational strategy. **Management Accounting Trends in the Nordic Countries Today—International Trends with Some Specific Nordic Features** Globalization led to a convergence of management accounting practices in the Nordic countries. The use of standardized information systems, participation in international conferences, and the influence of international consulting firms contributed to this homogenization. However, unique Nordic features remain, such as a strong emphasis on behavioral aspects in research and a commitment to action research. Public sector management accounting has been a distinct focus, with pioneering work conducted by Nordic researchers. The authors identify unique contributions in management accounting change research and emphasize the continued relevance of both theoretical and practical perspectives. Lecture 2 – Variability accounting (Aarhus School) and CPH School Israelsen 1996 Here's a summary of the provided text, focusing on key points and main takeaways, formatted for easy understanding and study: Management Accounting in Denmark: A Historical Overview The industrial revolution arrived late in Denmark, impacting the development of cost and management accounting. Initial development in the 1930s focused on standardizing recording systems and calculation principles. The 1930s also saw the establishment of the Nordisk Tidsskrift for Teknisk Økonomi (Nordic Journal of Technical Economics), which played a significant role in the debate surrounding cost accounting. The 1940s were marked by a period of price controls and scarcity, which influenced accounting practices. The easing of price controls in the 1950s marked a turning point. Key Figures and Their Contributions Ivar Jantzen: His 1924 doctoral thesis, incorporating the work of Clark (1923), established a theoretical agreement on the irrelevance of fixed costs in price determination. Vagn Madsen: His 1951 doctoral thesis, influenced by his time in the United States, introduced "variability accounting," emphasizing a pure cost database without arbitrary allocation. This system uses three dimensions for recording costs: type of production factor, department, and objective for resource use. It stresses the separation of data recording and data manipulation tasks. A key aspect is the use of "variability factors" (V-factors) to classify costs. (See Figure 2.1 for a visual representation of Madsen's model.) Palle Hansen: Initially advocating a full absorption principle, Hansen later became a proponent of the contribution margin principle, incorporating the 'du Pont' format. His work led to the dominance of the direct costing principle in Danish financial accounting until the 1981 Financial Statements Act. Hansen's contributions included the founding of Lederskab og Lønsomhed (Leadership and Profitability) journal and a handbook on budgeting. Zakken Worre: Worre introduced the concepts of absolute and relative divisibility of costs, arguing that the distinction between variable and capacity costs depends on the defined sales activity. He emphasized a management-oriented accounting system with four dimensions: production factor, process, information entrance, and objective. Worre's work highlights the use of non-monetary measurements in ex post recordings. Figure 2.1 also visually displays the Danish model for recording cost accounting data incorporating Worre’s ideas. Characteristics of Present Danish Management Accounting Current Danish cost and management accounting emphasizes: 1. The use of ex post recordings for inspiration analyses and improved future decisionmaking. 2. Cost accounts serving as a database for measured resource consumption without data manipulation. 3. Safeguarding access to non-arbitrary data through recording only measured direct consumption. 4. Viewing the firm as a system (input-process-output model) applicable to any activity/action. 5. Recording absolute divisibility of input factors and the reversibility of capacity costs. 6. Recording actual capacity use for capacity utilization assessment. 7. Recording output units and the receiving department/process. 8. Reflecting the total activity/capacity network. (See Figure 2.1 for a visual of this model) Empirical Studies on Danish Cost Management Practices Two surveys, one on product costing and the other on the diffusion of modern cost management techniques, provide insights into current practices: Product Costing Survey: This found that Danish firms are largely market-oriented in price determination, but a surprising number still use full-cost accounting for product costing, although the number is decreasing. Despite this, most firms perform profitability analyses using stepped contribution margin hierarchies. Many firms expressed a need for changes in their cost calculation methods driven mainly by increased competition. Diffusion of Modern Cost Management Techniques Survey: This survey focused on progressive firms and highlighted the prevalent use of non-financial performance measures (like on-time deliveries), target costing, and, to a lesser extent, benchmarking and strategic cost analysis. Activity-based costing (ABC) appears to be less common. Conclusion Danish management accounting practices are largely market-oriented, emphasizing multilevel contribution margin analyses. While traditional methods are still used, the adoption of newer techniques is gradually increasing, though there's still some resistance. The use of ABC is limited so far. Israelsen & Rohde 2005 This document compares two Danish management accounting frameworks—Variability Accounting (VA) and Capacity Cost Accounting (CCA)—with Activity-Based Costing (ABC). Here are the key points and takeaways: Danish Management Accounting Frameworks: A Historical Context Danish management accounting frameworks developed significantly, drawing inspiration from German scholars like Schmalenbach and Schneider, and integrating managerial economics and behavioral theory. The frameworks emphasize flexible data retrieval for various analyses across organizational levels and market segments. Two prominent frameworks emerged: Variability Accounting (VA), developed by Vagn Madsen, and Capacity Cost Accounting (CCA), primarily shaped by Palle Hansen and Zakken Worre. A key area of contention among Danish scholars and a source of criticism against ABC focused on how capacity costs are handled and allocated, particularly in relation to the fullcost principle. Analyzing the Frameworks: The Bjørnenak & Olson Model The authors use Bjørnenak & Olson's (1999) framework for analyzing management accounting innovations (Figure 1) to compare VA, CCA, and ABC. This framework considers: Scope: Descriptive objects (resources, departments, processes, cost objects, and data types), causal variability factors (influences on variations), and time (accounting period and ex ante/ex post data). System: Number and lifetime of systems, and user aspects (design involvement and information asymmetry). Variability Accounting (VA) VA, developed by Madsen, is a consumption-based cost accounting system. It avoids arbitrary allocations by using three dimensions: 1. Factor Type: Types of resources consumed. 2. Cost Center: Where resources are used. 3. Objective: The purpose for which resources are used (including products, services, maintenance, marketing, R&D, etc.). VA uses hierarchies in cost centers and objectives to avoid arbitrary allocation, recording consumption in quantities and time at standard rates. It includes "variability factors" (Vfactors) to quantify activity levels and tracks absolute divisibility and reversibility of resources. VA distinguishes between data recording (using relational databases) and data analysis. It uses both ex ante (budgets) and ex post (actual consumption) data. (See Figure 2 for a visual representation of VA’s transaction table). Appendix 1 provides an example of VA records. Capacity Cost Accounting (CCA) CCA, developed by Worre, focuses on capacity costs and data. It uses four dimensions: 1. Factor Type: Types of resources. 2. Information Entrance: Organizational areas of responsibility. 3. Process: Types of tasks performed. 4. Objective: Recipient of the performance output. CCA emphasizes direct recording and avoids arbitrary allocation. It uses capacity utilization units and load units as causal variability factors and classifies costs by variability and reversibility. Like VA, it uses both ex ante and ex post data, but its focus is on flexible data extraction for various analyses. (See Figure 3 for a visual representation of CCA). Comparing VA and CCA While both frameworks aim to avoid arbitrary allocations, they differ in the number of dimensions, the use of hierarchies, and how they handle capacity costs. VA allows for allocation within its hierarchical structure, while CCA strictly uses direct recording. Figure 4 summarizes the key similarities and differences between VA and CCA. SWOT Analysis of Danish Basic Accounts Strengths: Detailed descriptions, avoidance of arbitrary allocations, flexible data storage and retrieval, integration of managerial economics and behavioral theory. Weaknesses: Complex concepts, mixed terminology, primarily conceptual and normative descriptions, limited international dissemination, lack of direct links to IT. Opportunities: Integration with ERP systems for more efficient data management and analysis. Threats: Rapid changes in the business environment, requiring constant system maintenance and updates. Comparing Danish Frameworks with ABC While seemingly different, both Danish frameworks and ABC share similarities: use of drivers, hierarchies, and attention to variability and reversibility. However, ABC's initial focus was on product costing, while the Danish frameworks emphasize broader, flexible data management. ABC has evolved to include more purposes. Figure 5 summarizes the comparison. Conclusion Danish BRFs and ABC aim to provide flexible and useful management accounting information. While ABC focuses on specific projects and gradually integrates into the accounting system, the Danish BRFs aim for a comprehensive, integrated system from the outset. The authors suggest that a combination of the two approaches may be optimal, leveraging the strengths of both Israelsen 1993 Kap 1-4 – Activity vs. variability management accounting This document compares and contrasts Variability Accounting (VA) and Activity-Based Costing (ABC), focusing on their evolution and applications in management accounting. Here's a summary highlighting key points, takeaways, and examples: 1. Variability Accounting (VA): Fundamental Features VA, developed by Vagn Madsen, aims to be a multi-purpose cost accounting system, distinguishing between data recording and data manipulation. It uses three dimensions for recording costs at the moment of consumption: Type of Production Factor: The specific resource used (e.g., specific type of labor, material). Department: The location of consumption. Objective: The immediate purpose of resource use (e.g., specific product, maintenance). Example: A record might show: "Direct Labor (skilled machinist) - Machining Department - Production of Widget X - 2 hours - $50." (Figure 2 illustrates the basic structure of such a record.) VA employs hierarchies for departments and objectives to avoid arbitrary cost allocations. Costs are recorded as far down the hierarchy as direct measurement allows. It uses "variability factors" (V-factors), which are quantitative measures of output (e.g., units produced) that correlate approximately with the costs of a given objective. The system uses actual consumption at standard prices, and the choice of price depends on the analysis purpose. It avoids the fixed/variable cost dichotomy, as the classification of costs depends on the objective. Depreciation and interest are handled outside the VA system. 2. Interpretations and Changes in VA Principles The document clarifies and updates several aspects of VA: Cross-referencing: While Madsen's original VA didn't fully cross-reference all three dimensions due to technological limitations, modern relational databases now allow for complete cross-referencing. Cost Types: The document clarifies that "cost types" in VA refer to categories of production factors, not tasks or objectives. Variability Factors: Variability factors are defined as output measures. However, the text also suggests interpreting it as a measure of production factor services used that vary proportionately with the output. This implies approximately linear production functions and constant price functions. Direct/Indirect Costs: The concept of indirect costs is invalidated in VA; all costs are direct by being linked to specific objectives and departments as far down the hierarchy as direct measurement allows. Unique/Multifunctional Costs: A production factor's unique/multifunctional nature (used in multiple objectives/departments) is evident from the cross-referencing of the dimensions. The economic implications of multifunctionality, which depend on price and efficiency, are addressed outside the VA system. Absolute Divisibility and Reversibility: This relates to the quantum nature of resources (minimum purchase quantity, capacity units) and how easily they can be discharged or reduced. This is recorded separately to provide information for capacity management. Example (Supplement 1): Madsen's example of a detailed account structure demonstrating the hierarchical nature of departments and objectives. 3. Activity-Based Costing (ABC): Fundamental Features The original ABC aimed at improving product cost calculation by using cost drivers (volume-related and non-volume-related) to allocate indirect costs more accurately. It allocated costs from resources to activities and then to cost objects. 4. New Developments: From ABC to Activity-Based Profitability Analysis (ABPA) Cooper and Kaplan shifted ABC's focus from product costing to profitability analysis. ABPA uses a tiered contribution margin approach, calculating margins at different levels (unit, batch, product, product-line, plant). Costs are subtracted at the level where they vary with decisions at that level. It uses a causality criterion for cost allocation (physical resource consumption) but does not necessarily adhere to the finality principle. This makes ABPA more of an inspiration analysis for identifying high-profit/low-profit areas than a tool for direct decision-making. Examples: Figures 15, 16, and 17 illustrate the ABPA framework and calculations, highlighting the different levels and drivers involved. They show how costs are assigned at different levels based on variability and causality, focusing on a drive shaft example. 5. Comparing VA and ABC The document explores the similarities and differences between VA and ABC, noting that ABPA incorporates many of the principles found in VA (drivers, hierarchies, variability). However, VA prioritizes a comprehensive, flexible database, while ABC (and ABPA) are more focused on specific analyses. 6. Natural versus Problem-Determined Hierarchies The document contrasts natural hierarchies (found in VA, determined by the inherent relationships between costs and activities) with problem-determined hierarchies (in ABC and ABPA, determined by the analysis's purpose). The authors emphasize that a lack of distinction between cost objectives and their attributes can lead to information loss when using problem-determined hierarchies. Example: Figure 18 shows a chart of accounts with multiple adjacent objective hierarchies (material movements, product development, promotion, etc.). Figures 19, 20, and 21 illustrate how different problem-determined hierarchies can be constructed based on the same data, leading to different conclusions. Figure 22 shows how the choice of hierarchy can affect the level of detail and information available. Figure 23 provides a summary of information loss depending on the hierarchy chosen. Conclusion: The document highlights the strengths and limitations of VA and ABC/ABPA. VA provides a powerful and flexible data foundation but requires significant upfront implementation work. ABC/ABPA offers more adaptable approaches for specific analyses, though it can involve compromises on allocation precision, depending on the hierarchy chosen. The authors suggest that integrating elements from both systems could create an improved management accounting framework. Appendix A – VAMA case – Variability Accounting This document describes a variability accounting system using a fictitious company, VAMA Inc., as an example. The key takeaways center around a three-dimensional cost coding system and its application in cost management. Understanding the Variability Accounting System The core of the system is a three-dimensional cost code, illustrated in Figures A3, A4, and A5. This code classifies costs based on: 1. Department: Identifies the organizational unit incurring the cost (Figure A3 shows a hierarchical breakdown of departments within VAMA's production area). 2. Objective: Specifies the purpose for which the resources were used (Figure A4 illustrates how this is coded for different products and stages of production). 3. Type of Production Factor: Categorizes the type of resource consumed (Figure A5 shows how various costs are categorized, like materials, labor, and services). Figure A2 provides a visual representation of the production flow within VAMA Inc., showing how raw materials are transformed into finished products (R and Q) through various production units and processes. The '0' in the diagram indicates that further processing happens in the specified unit. Cost Coding and Application The document emphasizes that costs are coded at the point of consumption rather than at the point of production. This approach is illustrated by the example of Y2 parts (used in both Z1 and Z2), where it is impossible to allocate these costs to Z1 and Z2 until consumption data are available. The cost coding also considers whether further processing is involved. For instance, the cost of raw material M251 used in producing Y3 in department "c" is coded as 60574121831222, linking this cost to its department, objective (part of product Q), and type of production factor. Supplement 1: General Account Code of Variability Accounting Supplement 1 presents a general account code, a classification framework for costs, organized by class (production factors), department, and objective. This provides a standardized structure adaptable to different companies. Supplement 2: Examples of Recording and Inspiration Analysis Supplement 2 provides examples demonstrating the application of variability accounting. Figure A: Illustrates administration costs across various stages of production and different departments, highlighting the interaction between administrative support and production activities. Figure B: Shows how variability accounting records costs associated with production batches, tracking them across different stages and product components. Figure X: A stylized example showcasing a complex production process involving multiple departments and product lines, further illustrating the system's applicability to intricate production flows. Key Takeaways The document highlights a variability accounting system focused on a three-dimensional cost code. This approach, unlike traditional activity-based costing, tracks costs based on consumption and purpose, providing a detailed and adaptable system for cost management. The examples and figures demonstrate its practical applicability in different organizational structures and production processes, emphasizing the need to consider the variability and reversibility of costs for effective management decisions. Lecture 3 – Variability accounting cont. + manipulation of cost data – E.g. activity based costing Cooper og Kaplan 1998 Chapter 6+7 – ABC + resource capacity Here's a summary of Chapters 6 and 7, focusing on key points and takeaways, explained in a fluent text with understandable headlines. Models and figures will be referenced and explained. Chapter 6: Activity-Based Costing: Introduction Limitations of Traditional Costing Systems Traditional costing methods (Stage II), such as standard cost and flexible budgeting systems, fail to provide detailed information on operational processes, products, and customers. This leads to inaccurate cost allocation and hinders efforts to improve operational efficiency. The ABC Approach: A New Way of Thinking Activity-Based Costing (ABC) offers a more comprehensive approach. Instead of simply allocating costs based on traditional methods, ABC focuses on: 1. Identifying Activities: Determining the specific tasks (activities) performed by organizational resources. 2. Costing Activities: Calculating the cost of performing each activity. 3. Understanding Activity Needs: Analyzing why the organization needs to perform each activity. 4. Linking Activities to Outputs: Determining the relationship between activities and the organization's products, services, and customers. An ABC model serves as an economic map illustrating the organization's expenses and profitability. It helps managers navigate complex operations by providing relevant insights into cost drivers and performance. The ABC Model: Mapping Costs (Exhibit 6-1, 6-2, 6-3) Exhibit 6-1 illustrates how traditional costing systems distort costs by averaging across different products (high/low volume, simple/complex). ABC systems aim to overcome this by providing a more accurate picture. Exhibit 6-2 showcases the typical structure of a traditional cost system, where overhead costs are arbitrarily allocated to production cost centers and then to products. This often leads to inaccuracies. Exhibit 6-3 diagrams how ABC systems trace resource expenses through activities to cost objects (products, services, customers). The process starts with resource expenses, moves to activities, and finally to cost objects, providing a more direct link between resources and outputs. Building an ABC System (Four Steps) The document outlines four steps to develop an ABC system: 1. Develop the Activity Dictionary: Create a comprehensive list of all activities performed within the organization, detailing each activity. 2. Determine Activity Costs: Assign costs to each activity using resource cost drivers (Exhibit 6-4). 3. Identify Products, Services, and Customers: Define all outputs the organization produces and delivers. 4. Link Activity Costs to Cost Objects: Connect activity costs to products, services, and customers using activity cost drivers. Types of Activity Cost Drivers The text explains three types of activity cost drivers: Transaction Drivers: Count the number of times an activity is performed (e.g., number of setups). Duration Drivers: Measure the time required to perform an activity (e.g., setup hours). Intensity Drivers: Directly charge for resources used per activity (e.g., specific skilled labor for certain setups). Chapter 7: Measuring the Cost of Resource Capacity Limitations of Historical Cost Data Using historical data alone to calculate cost driver rates for ABC models has limitations: 1. Time Lag: Rates are calculated after the period ends, preventing real-time decision-making. 2. Unused Capacity: Historical data might not reflect unused capacity, leading to inaccurate cost estimates. ABC with Budgeted Expenses: Forecasting the Future Using budgeted expenses instead of historical data in ABC models allows for proactive planning and decision-making. Budgeted cost driver rates, based on anticipated expenses and practical capacity, can be used for real-time pricing, order acceptance, and resource allocation. Reconciling actual and budgeted costs helps identify spending and volume variances. Practical Capacity and the Fundamental Equation of Activity-Based Costing Practical capacity represents the maximum amount of work that can be handled by available resources. The fundamental equation highlights this concept: Cost of Resources Supplied = Cost of Resources Used + Cost of Unused Capacity This clarifies the difference between resources supplied and resources used, emphasizing that unused capacity should be accounted for. Addressing Common Misconceptions The chapter addresses common misconceptions about ABC, such as the assumption that ABC treats all costs as variable. It clarifies that while some costs are variable in the short term, others (especially related to committed resources) are fixed in the short run and become variable only over longer periods through managerial decisions. Activity-Based Costing (ABC) and the Theory of Constraints (TOC) The chapter compares ABC and TOC, emphasizing their complementary roles. TOC focuses on short-term optimization within existing constraints, while ABC provides a longer-term perspective on managing capacity and resource allocation, enabling more informed decision-making. This summary provides a comprehensive overview of Chapters 6 and 7. Refer to the original document for detailed information. Remember that the figures referred to were not available in the text, so visual aspects cannot be described. Israelsen og Kristensen 2015 - Characteristics and evaluation of Time-Driven Activity Based Costing based on ABC’s Development This paper analyzes Time-Driven Activity-Based Costing (TDABC) by comparing it to the evolution of Activity-Based Costing (ABC). It concludes that TDABC offers improvements over ABC, particularly in handling diverse activities and complex cost structures, but that certain aspects of ABC, like hierarchies, should be retained. Evolution of Activity-Based Costing (ABC) The paper traces the development of ABC through four variants (ABC1-ABC4), highlighting key features and limitations at each stage: ABC1: Focused on improved long-term product costing, using transaction drivers to allocate overhead costs. It's criticized for its arbitrary allocation of overhead costs and for not adequately capturing the complexities of multi-product environments. (Figure 1 illustrates this initial ABC model). ABC2: Introduced a hierarchical model (Figure 2 shows the hierarchy of activities), aiming to improve the clarity and analytical capability of cost allocation. This hierarchical approach is seen as a way to avoid misunderstandings from directly allocating costs to individual product units, allowing for a more detailed profitability analysis. However, it's also criticized for its arbitrary allocation of facility-sustaining costs. (Figure 3 illustrates the hierarchical profitability analysis). ABC3: Distinguished between used and unused capacity (Figure 4 shows an example of income accounting in ABC3), improving cost accuracy and providing valuable insights into resource utilization. This was applied to all capacity resources, but complexities arise with multifunctional resources. ABC4: Incorporated variability and reversibility of costs into the model, acknowledging the varying degrees of responsiveness of costs to activity changes. This aspect highlights the need to consider the time it takes for costs to adjust. It also introduced a distinction between primary and secondary activities. Time-Driven Activity-Based Costing (TDABC) TDABC is presented as a significant departure from ABC, primarily in its avoidance of explicit activity definition. The authors emphasize that TDABC does not eliminate activities entirely, but rather integrates them into a simplified two-stage process: 1. Resource Cost Allocation to Departments: Costs are allocated to homogenous departments (rather than individual activities) creating a standardized cost per unit of time (e.g., cost per minute). The departments are defined by homogeneity of service, not necessarily by the company's organizational structure. 2. Cost Calculation via Time Equations: Time equations, representing the total time to perform specific tasks or processes, are used to calculate costs for individual cost objects. These equations consider numerous factors that might influence time requirements, allowing a precise calculation for each transaction, rather than relying on average costs. (The Sanac case study is used to illustrate this, showing a complex time equation for delivery processes using various factors and customer types. Figure 6 shows Sanac's cost object hierarchy). TDABC's time equations are noted as elegant and accurate but are less unique than initially perceived, as they incorporate the (variable) standard cost accounting approach common in manufacturing. Comparing TDABC and ABC The authors conclude that TDABC offers improvements over ABC, especially for companies with heterogeneous activities. The TDABC approach simplifies cost allocation, reduces subjectivity (avoiding the estimates inherent in ABC's activity-based allocation), and increases analytical flexibility. They acknowledge, however, that the lack of explicit activity definition in TDABC might mean discarding useful aspects of the ABC system, particularly hierarchies. They recommend retaining elements such as the hierarchical profitability analysis. The focus is shifted from assigning costs to activities to directly calculating costs per transaction, reflecting the time spent on tasks which are considered to be fairly homogeneous within defined departments. This simplifies the process considerably, especially in large and complex organisations.