Sunday, 27 September 2026

A review of the article on “performance management: a framework for management control systems research”

A review of the article on “performance management: a framework for management control systems research”

 

 

How to present this article in Harvard reference format?

To reference this article in Harvard format, you would structure it as follows:

Otley, D. (1999) ‘Performance management: a framework for management control systems research’, Management Accounting Research, 10(4), pp. 363–382. doi: 10.1006/mare.1999.0115.

If you need to include the URL (for example, if you accessed it online), you can add:

Available at: https://www.researchgate.net/publication/222473924_Performance_Management_A_Framework_For_Management_Control_Systems_Research (Accessed: [date]).

  

What are the key research issues the article wants to address?

 

·        The article by David Otley (1999) identifies key research issues in the field of performance management and management control systems centered around five core questions which form a framework to analyze organizational control systems:

1.    Identification of Key Objectives: What are the critical objectives central to the organization's long-term success, and how is achievement of these objectives evaluated? This raises research questions around how organizations define and prioritize goals from the perspectives of different stakeholders.

2.    Strategies and Plans: What strategies and plans has the organization adopted, what processes and activities are required to implement these strategies, and how is performance of these activities assessed? Research interest lies in linking strategy formulation to control systems and understanding means-end relationships.

3.    Target-Setting: What level of performance is needed in each area, and how are appropriate performance targets established? Traditional issues about effectiveness, efficiency, and benchmarking stem from this.

4.    Incentives and Rewards: What rewards and penalties are attached to achieving or failing to achieve targets? Despite being often neglected in performance measurement research, exploring the design and impact of incentive schemes, including cultural differences, is important.

5.    Information Feedback Loops: What information flows (feedback and feed-forward) exist to help the organization learn from experience and adapt behavior? This includes understanding multiple timescales of learning and organizational culture formation.

Beyond these specific questions, the article highlights broader research issues such as:

o   How different control systems operate as part of an overall organizational control package rather than in isolation.

o   The contingencies affecting the choice and effectiveness of control systems, particularly the role of strategy and organizational context.

o   The practical use, integration, and behavioral impacts of specific performance management techniques like budgeting, Economic Value Added (EVA), and the Balanced Scorecard.

o   The need for longitudinal, in-depth case studies and mixed methods (e.g., combining survey and case study approaches) to better understand these control systems in practice.

o   Exploring the motivation and behavior aspects in the design and operation of management control systems, recognizing cultural and organizational differences.

o   Assessing the behavioral and organizational effects of financial versus non-financial performance measures and reward systems.

In sum, the article sets out to move beyond narrowly economic or technical views of performance measurement to a broader, integrated research agenda addressing how performance management works in practice in the complex organizational and strategic context.

 

 

Describe two main theories employed in this article.

The article by David Otley (1999) employs two main theoretical perspectives to underpin the proposed framework for performance management and management control systems research:

1.    Contingency Theory of Management Accounting This theory posits that there is no universally optimal management control system; rather, the choice and design of appropriate control techniques depend on specific contingencies or circumstances of an organization, especially its objectives and strategy . Key elements include:

·        The organization's goals and strategies heavily influence the selection of performance measures and controls. Different strategies require different configurations of control systems.

·        The need for a “goodness of fit” between control systems and organizational context to enhance effectiveness.

·        Contingency theory rejects a “one-size-fits-all” approach and instead encourages tailoring controls to organizational conditions such as size, technology, and competitive environment.

·        The paper draws on works by Anthony (1965) as well as Simons (1995) and Langfield-Smith (1997) who emphasized strategy as a key contingent variable shaping controls.

2.    Management Control Systems (MCS) Framework Originating mainly from Anthony’s (1965) classic framework of management planning and control systems, this approach distinguishes between strategic planning, management control, and operational control and explores how management control systems provide information to assist managers in influencing organizational behavior . Key features include:

·        MCS are viewed as systems providing information feedback loops to enable evaluation and regulation of performance relative to plans and objectives.

·        It acknowledges behavioral aspects such as motivation and the role of incentives in influencing manager and employee actions.

·        However, traditional MCS frameworks have been critiqued for focusing narrowly on financial measures and for insufficiently integrating strategic planning and operational control.

·        The article seeks to extend the MCS framework to a broader ‘performance management’ perspective that integrates strategy, objectives, target-setting, incentives, and information flows, thus enriching the classic model.

Together, these theories justify the article’s inductive framework which addresses five key questions about objectives, strategies, targets, rewards, and information feedback, emphasizing the fit between organizational context and control system design . The contingency theory explains why different organizations require different systems, while the MCS framework provides the foundation for understanding control system operation and information flows in management .

 

 

Highlight 2 main primary findings reported in this article.

The article by David Otley (1999) reports two main primary findings based on the development and application of the proposed performance management framework:

1.    Integration of Five Key Issues Provides a Comprehensive Framework for Analyzing Performance Management Systems The article identifies five central questions related to organizational objectives, strategies and plans, target setting, incentive and reward structures, and information feedback loops as essential components of management control systems . By integrating these five interconnected elements, the framework offers a more complete, holistic view of organizational control systems beyond traditional financial performance measurement. This comprehensive approach helps to expose neglected areas in practice and research and provides a valuable tool for analyzing and improving performance management techniques such as budgeting, Economic Value Added (EVA), and the Balanced Scorecard.

2.    Control Systems Are More Like ‘Packages’ Than Fully Coherent, Rational Systems and Need to Be Studied Longitudinally and Contextually The article finds that organizational control systems are typically complex, evolving packages with components added at different times by different managers, rather than fully integrated, rationally designed systems . This has important implications for research methodology, emphasizing the need for longitudinal, in-depth case studies that consider context, inter-relationships, and cultural factors. Such studies can reveal the antecedents, operation, and consequences of control system choices and provide a richer understanding than isolated, technique-focused analyses. The framework thus encourages more empirical research that examines the dynamic and socially embedded nature of performance management systems.

These findings underscore the importance of a broad, integrated perspective on performance management and the need for research approaches that capture the complexity and context-dependent nature of control systems.

  

Describe 3 main claims of the article in terms of Toulmin's model of argument.

Using Toulmin's model of argument—which includes claims, grounds (evidence), warrants (justification), backing, qualifiers, and rebuttals—three main claims from David Otley’s (1999) article can be described as follows:


Claim 1: The performance management framework integrating five key questions provides a useful and comprehensive tool for analyzing management control systems beyond traditional financial measurement.

·        Grounds (Evidence): The paper inductively develops five central questions relating to objectives, strategies and plans, target-setting, incentives and rewards, and information feedback loops, and applies this framework to three systems (budgeting, EVA, Balanced Scorecard) to expose neglected areas and guide improvements .

·        Warrant (Justification): A framework that explicitly integrates multiple interrelated aspects of control systems captures organizational complexity better than narrow financial approaches.

·        Backing: Prior research on management control systems, contingency theory, and examples of budgeting and newer techniques like EVA and Balanced Scorecard support the need for such broader frameworks .

·        Qualifier: This framework is a first step and may require adaptation to different organizations and contexts.

·        Rebuttal: While not prescriptive, some may argue other frameworks or narrower financial models suffice; however, such approaches risk overlooking crucial elements that affect performance management.


Claim 2: Management control systems should be understood as complex, evolving "packages" rather than fully rational, coherent systems.

·        Grounds (Evidence): The article references prior literature on contingency theory and organizational control packages, and notes that control elements are added by different people at different times, making the overall system less cohesive .

·        Warrant (Justification): Organizational realities and historical processes hinder fully rational system design; understanding these systems requires acknowledging their fragmented and evolving nature.

·        Backing: Theoretical backing from Hopwood (1987) and others who compared control systems to archaeology; empirical observations supporting complexity and incoherence .

·        Qualifier: This complexity is typical but individual elements may exhibit rationality.

·        Rebuttal: One might assume that organizations could design fully coherent systems, but the evidence suggests otherwise.


Claim 3: Empirical research on performance management systems should prioritize longitudinal, context-sensitive case studies to generate meaningful understanding.

·        Grounds (Evidence): The paper discusses the limitations of purely economic or normative views and argues that in-depth, longitudinal studies allow exploration of control packages in context, capturing interactions, motivators, and the dynamic evolution of systems .

·        Warrant (Justification): Because control systems are complex, socially embedded, and context-dependent, static or cross-sectional studies cannot adequately reveal causes and effects.

·        Backing: Examples cited include Scandinavian and U.K. research traditions that have successfully employed these methods .

·        Qualifier: Such methodologies may be more resource intensive and focused on single organizations but yield richer insights.

·        Rebuttal: Large-scale surveys or experimental methods might be faster but risk ignoring critical contextual nuances.


These three claims collectively support the article’s thesis that performance management research and practice benefit from a richer, multi-faceted, and contextually aware approach.

 

Describe 2 main research limitations of the study.

Two main research limitations of David Otley’s (1999) study are:

1.    Primarily Conceptual and Inductive Framework Without Extensive Empirical Testing The performance management framework is developed inductively from prior research and existing theory and applied illustratively to three control techniques (budgeting, EVA, Balanced Scorecard) but is not extensively empirically validated across a broad range of organizations or contexts. Otley acknowledges that the framework “can usefully be developed further by its use in analysing other instances” and specifically calls for case-based, longitudinal studies to test and refine it. Thus, the study’s propositions remain largely theoretical and hypothesis-generating rather than empirically confirmed.

2.    Focus on Organizational-Level Analysis May Overlook Variations at Sub-Unit or Cross-Cultural Levels While the framework is applied at the level of relatively autonomous strategic business units, Otley notes that performance management configurations may differ in sub-units due to corporate policies or context, and that control systems are influenced by national and organizational culture . The study does not deeply explore such intra-organizational or cross-national variations, potentially limiting the generalizability and comprehensiveness of the framework when dealing with multi-layered or culturally diverse settings.

In summary, the limitations center on (1) the need for more extensive empirical validation, especially longitudinal and case studies, and (2) the somewhat narrow analytical focus on organizational units without fully addressing internal heterogeneity or cultural factors that influence management control systems.

 

A review of the article on “Management control systems as a package”

A review of the article on “Management control systems as a package”

 

 

How to present this article in Harvard reference format?

 

The article can be cited in Harvard reference format as follows:

Malmi, T. and Brown, D.A., 2008. Management control systems as a package—Opportunities, challenges and research directions. Management Accounting Research, 19(4), pp.287–300. https://doi.org/10.1016/j.mar.2008.09.003

 

What are the key research issues the article wants to address?

The key research issues the article "Management control systems as a package—Opportunities, challenges and research directions" by Malmi and Brown (2008) aims to address are:

1.    Definition and Conceptualization of MCS as a Package The article highlights the difficulty in clearly defining what constitutes a Management Control System (MCS) and distinguishing MCS from related concepts like information or decision-support systems. It stresses the need to clarify what behavior or processes MCS are supposed to control, and at what organizational level (individual, managerial, or organizational) this control operates.

2.    Studying MCS Components Individually vs. As a Package The authors argue that previous research focusing on individual control systems (e.g., balanced scorecards, budgeting) limits the understanding of the overall functioning and impact of MCS. They call for more research exploring how different elements of MCS interact and function together as a package, rather than in isolation.

3.    Configuration and Interrelationships of MCS There is a need to investigate the typical configurations of MCS packages in organizations. This includes understanding which types of cybernetic, administrative, cultural, and other controls commonly coexist and how their relationships affect organizational performance and control effectiveness.

4.    Challenges in Empirical Research and Theoretical Development The article discusses challenges such as the weak and fragmented findings from contingency-based research on MCS, and the lack of consistent typologies for MCS packages that would allow comparison across studies and contribute to theory building.

5.    Exploring Substitution and Complementarity among Controls The article raises questions regarding how different control systems within the package act as substitutes or complements to one another, and how this affects their design and effectiveness.

6.    Methodological Approaches for Studying MCS Packages Due to the complexity of MCS packages, the authors suggest the need for longitudinal case studies, large-sample empirical research, and possibly more qualitative methods such as interviews to collect high-quality data.

7.    Need for Developing a Consistent Typology and Framework The article proposes a new typology organizing MCS into five groups (planning, cybernetic, reward and compensation, administrative, and cultural controls) to facilitate coherent comparison and further theory development.

In summary, the article urges for conceptual clarity, integrated study of MCS components as packages, empirical research on configurations and relationships within MCS packages, and improved methodologies to build more comprehensive and effective theories on management control systems.

 

 Describe two main theories employed in this article.

The article "Management control systems as a package—Opportunities, challenges and research directions" by Malmi and Brown (2008) employs two main theoretical perspectives to frame its analysis of management control systems (MCS):

1.    Control Theory (Focus on Behavioural Control) The article conceptualizes MCS as systems that managers use primarily to influence and control employee behavior in alignment with organizational objectives and strategies. This perspective builds on the idea that controls are designed to direct people's actions and decisions, rather than merely providing decision-support information. It emphasizes that MCS should be distinguished from pure decision-support systems and highlights that control is about aligning behavior to goals across multiple organizational levels. This behavioral control approach is evident in the authors' preference for defining MCS as mechanisms that managers use to ensure congruence in behavior, rather than only tools for decision-making.

2.    Package or Configurational Theory of Control Systems Rather than studying management control systems as isolated elements, the article adopts a configurational or package approach to MCS. This theory views MCS as a set or package of multiple control mechanisms—planning, cybernetic controls, reward and compensation systems, administrative controls, and cultural controls—that interact and collectively influence organizational outcomes. The article proposes a new typology to capture this broad but parsimonious conceptualization and emphasizes the importance of understanding how these controls fit together, substitute for, or complement one another, and are configured in different organizational contexts. This configurational view reflects earlier calls in the literature to study MCS holistically and address empirical challenges related to the interdependencies among different control mechanisms.

In short, the two main theoretical lenses are: (1) a behavioral control theory focusing on managerial influence over employee actions; and (2) a configurational theory viewing MCS as a dynamic package of complementary and interrelated control systems, rather than isolated tools.

 

Highlight 2 main primary findings reported in this article.

The article "Management control systems as a package—Opportunities, challenges and research directions" by Malmi and Brown (2008) primarily serves as an editorial and conceptual overview rather than an empirical study presenting primary findings. However, based on the reflections and synthesis of the papers included in the special issue and the authors' own analysis, two main primary findings can be highlighted:

1.    MCS Packages Form Configurations with Interrelated Elements Empirical studies reviewed (such as Kennedy and Widener’s case study) demonstrate that organizations use large and complex packages of management control systems that form distinct configurations. These configurations comprise multiple interrelated control mechanisms—such as accounting practices, performance measurement, operating procedures, and social controls—that interact with each other in both unidirectional and bidirectional ways. This supports the idea that MCS should be studied as a system of interlinked controls rather than as isolated practices. Moreover, configurations can differ while still achieving equifinality, i.e., different MCS packages may produce equally effective outcomes as long as there is internal consistency among elements.

2.    Contextual and Functional Factors Shape the Form and Effectiveness of MCS Packages The studies show that the design and use of MCS packages are influenced by contextual factors such as organizational growth, environmental uncertainty, and task characteristics. For example, in collaborative alliance settings characterized by high uncertainty and risk, cultural controls like trust complement formal governance and control mechanisms. Functional demands, such as lean manufacturing, also influence the shape and relationships within a control package. These findings emphasize that the effectiveness of MCS packages depends on their fit with both external contingencies and internal functional needs, and that different control packages may be required across organizational units and levels.

 

In summary, the two primary findings are: (1) MCS operate as complex, internally consistent configurations of multiple control systems rather than isolated controls; and (2) these packages are shaped by contextual and functional contingencies including trust, environmental uncertainty, and organizational strategy, which influence their design and effectiveness.

 

Describe 3 main claims of the article in terms of Toulmin's model of argument.

Using Toulmin's model of argument (which includes the elements: Claim, Data/Evidence, and Warrant), the article "Management control systems as a package" by Malmi and Brown (2008) presents at least three main claims as follows:


Claim 1: Management control systems (MCS) should be studied and understood as a package of interrelated control mechanisms rather than isolated systems.

·        Data/Evidence: The authors cite empirical findings (e.g., Kennedy and Widener’s case study) demonstrating complex configurations of MCS with multiple interrelationships between accounting practices, social controls, performance measurement, and procedures. They also refer to the lack of cumulative theory from single-system studies to explain MCS effectiveness adequately.

·        Warrant: Since controls interact and influence each other, analyzing them as a whole package provides a more accurate and comprehensive understanding of how organizations achieve control and alignment with objectives. Studying individual controls in isolation risks overlooking system-wide effects and misinterpreting effectiveness.


Claim 2: Existing MCS research is limited by inconsistent and overly broad definitions of MCS, which hampers theory development and empirical analysis.

·        Data/Evidence: The paper highlights the many different definitions and conceptualizations of MCS in the literature, some encompassing almost everything (budgets, culture, organizational structure, values, governance), leading to conceptual confusion and contradictory findings, e.g., contingency relationships which are weak or fragmentary.

·        Warrant: Clear, parsimonious, yet sufficiently broad typologies and definitions are necessary to build cumulative knowledge and conduct meaningful empirical studies that distinguish between decision-support and control systems and clarify what managers aim to control.


Claim 3: The design and effectiveness of MCS packages are contingent on organizational context, task characteristics, and functional requirements, including external relationships.

·        Data/Evidence: Case studies show that different organizational settings, such as growth firms or collaborative alliances, require different configurations of MCS. For example, cultural controls like trust complement governance structures under uncertainty  . Also, the concept of equifinality is supported, where different packages can achieve similar performance outcomes when internally consistent.

·        Warrant: The effectiveness and appropriateness of control systems depend on the alignment between an organization's environment, strategy, and internal demands. Ignoring contingency factors or external actor relationships leads to incomplete understanding of MCS functioning.


These claims collectively build the argument that more precise conceptualization and empirical examination of MCS as complex packages, tailored to context and organizational needs, are crucial for advancing management control research.

  

Describe 2 main research limitations of the study.

The article identifies several challenges and limitations related to studying management control systems (MCS) as a package, which can be viewed as research limitations of the study. Two main research limitations are:


Limitation 1: Complexity and Difficulty in Empirical Study of MCS Packages

·        The authors point out that MCS packages are typically large, complex systems consisting of multiple interrelated control mechanisms. This complexity creates significant practical difficulties in empirical research, especially in data gathering, analysis, and reporting. Field studies and case research struggle to capture and communicate the multifaceted interrelationships at a sufficient level of abstraction. Survey research faces challenges in developing instruments that can meaningfully capture the phenomena and obtaining adequately large samples.

·        This limitation restricts the ability to systematically study MCS packages across various organizations and contexts and to generate generalizable or quantifiable findings.


Limitation 2: Lack of Conceptual Clarity and Definition of MCS

·        There is wide variation and inconsistency in how MCS are defined across the literature, ranging from narrow to extremely broad definitions that include everything from budgets and accounting systems to culture and organizational structure  . This definitional ambiguity causes difficulties in distinguishing management control systems from decision-support systems and hinders the development of cumulative theory. Without agreed-upon boundaries and clear typologies, empirical research can produce contradictory or unclear results, limiting progress in understanding MCS packages.

·        This conceptual challenge also affects the design of research instruments and studies, complicating valid and reliable measurement of MCS components.


Together, these limitations emphasize the need for improved theoretical frameworks, research designs, and empirical methods tailored to the complexity and conceptual breadth inherent in studying MCS as integrated packages rather than isolated systems.