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Begins by creating a vision for dynamic performance measurement systems and goes on to describe the background to the work. Develops a model for integrated and dynamic performance measurement systems. Provides a critical review of existing frameworks, models and techniques against the model. Identifies that current knowledge and techniques are sufficiently mature to create dynamic performance measurement systems. The use of the dynamic performance measurement system is illustrated through a case study. Concludes with a series of lessons highlighting further research and development needs.

This paper aims to understand the evolutionary paths of performance measurement (PM) from the 1980s to the present.

The paper is a narrative review. The sources of literature reviewed are from diverse academic disciplines (e.g. operations management, strategic management, management accounting and organisational behaviour). Three main types of literature were selected, namely scientific literature, professional journals, and books. The authors' approach is illustrative and selective. It is based on the belief that societal and organisational contexts provide the clues for the appropriateness in design and use of a managerial innovation. It describes the transition in performance measurement, incorporating a number of PM innovations as illustrative exemplars.

Management needs, arriving from the evolving business ecology and focused on creating and sustaining competitive advantage, drive the destiny of PM systems during their evolutionary progression. Performance measurement has evolved from various perspectives. The evolution took place in four major paths, from operations to strategic, measurement to management, static to dynamic and economic‐profit to stakeholder focus.

The evolutions embody trends in development and use of PM systems over the long periods that point the way for future PM to develop and evolve.

The contemporary evolution of PM exhibited in the connection with its evolving contexts that is not explicitly acknowledged in the literature gives the raison d'être to this review.

This article aims to comprehensively review the measurement and management of supply chain performance (SCP) and strategic performance (SP). It strives to identify integrable features regarding frameworks, measurement approaches, practices and emerging research issues in these areas to integrate SCP and SP for measuring and managing performance. It intends to develop a dynamic-integrated-performance-system by incorporating integrable aspects of SCP and SP to link these domains for organizational performance improvement.

Using systematic-literature-review, this study analyzes 154 articles published in selected peer-reviewed international journals from 2000 to 2023 regarding SCP and SP. It assesses existing knowledge regarding research-design followed, challenging areas and imperatives in these critical business domains to investigate the prior conceptual, empirical, case study-based and literature-review-based articles.

The study identifies integrable features regarding key theoretical and measurement frameworks, critical objectives, significant measures, effective practices for measuring and managing SCP and SP and emerging research issues common to these areas. The findings help develop a dynamic-integrated-performance-system that uses the theoretical lenses of resource-based-view/dynamic-capability-theory and adopts a comprehensive framework like DBSC (system-dynamic-model with BSC perspectives). It incorporates identified integrable measures and best practices to monitor, measure, manage and improve organizational performance for sustainable competitive advantage. The article reveals that earlier studies have overlooked analyzing SCP and SP integration aspects.

From the theoretical viewpoint, the present SLR is unique in three ways: first, in investigating both the measurement and management of SCP and SP holistically; second, in identifying integrative features of these two; and third, in proposing a DIPS to link SCP and SP for performance improvement. The study reveals that existing literature has focused on measuring and managing SCP and SP in isolation without attempting a comprehensive and unified approach to integrate the respective domains. The present SLR adopts a holistic approach to link SCP and SP from SCM and strategic-management perspectives. The study proposes a dynamic-integrated-performance-system to measure, manage and improve performance in a unified method.

This study provides SC and strategy practitioners with an understanding of strategy-performance pathways for achieving strategic objectives and executing risk mitigation initiatives to counter disruptions. It enables SC managers to comprehend SC practices and SCP leading to dynamic SC capabilities development. Operationalizing the proposed DIPS will help firms link SCP and SP, align operational SC practices with strategic sustainability and circularity objectives and meet sustainable development goals while benefiting social and environmental stakeholders.

Assessing relationships and identifying a unified approach integrating SCP with SP have not been addressed earlier. This study's uniqueness is finding integrable features of SCP and SP and constructing a dynamic-integrated-performance-system to link these domains for achieving strategic competitiveness.

The purpose of this paper is to evaluate Balanced Scorecard by listing claims made by its authors and counterclaims made by other scholars/authors; to justify further research for answering the question “how to measure” in a broad manner; and to justify further research in “dynamic performance measurement systems for global organisations”.

By referencing relevant literature, this paper first evaluates Balanced Scorecard. In its second part, the problems associated with designing and implementing performance measures are listed and lack of research in dynamic performance measurement systems for global organisations is brought to attention. The third part emphasises the need for further research to address the issues mentioned in part two.

The literature reveals that Balanced Scorecard still prevails as the dominant performance measurement system. Successful implementations, however, are much less prevalent and translating Balanced Scorecard to concrete action is still a problematic area.

A vast, multidisciplinary volume of literature is available on performance measurement. This review has referenced mostly recent (2000‐2005) literature.

This review provides a reference for academics/practitioners by listing and organising major claims made by authors of Balanced Scorecard and counterclaims made by other authors/scholars. This review also brings to notice the difficulties associated with designing and implementing measures, identifying opportunities for ongoing research.

This paper forms the basis for a new research direction that considers global organisations and explores the design of a dynamic performance measurement system that operates within an integrated framework of business processes.

The purpose of this paper is to provide an integrated framework of performance management area showcasing research trends in performance measurement and management frameworks developed and discussed by revisiting the literature of the last two decades – from 1991 to 2011.

This paper provides a comprehensive review (excluding management control systems) of the performance measurement and management frameworks/systems/models developed in the last two decades, which helps to highlight the research trends related to performance management frameworks. The methodology for literature review is chronological review where it is divided into two periods – 1991-2000 and 2001-2011.

This paper portrays the developments that happened in performance measurement and management via looking at performance management frameworks and an analysis that reveals the research trends carried out in the last two decades, indicating paradigm shifts such as from a financial perspective to an integrative perspective (era 1991-2000), from an operational perspective to a strategic perspective, the utilization of systems and simulation techniques (era 2001-2011), etc. These shifts have led to the development of effective, integrated, and dynamic performance measurement systems.

The frameworks/models related to management control systems and the trends related to performance control systems have not been discussed here and they require further research in future studies.

There is very limited work available in the literature that discussed specifically the performance management and measurement (PMM) frameworks/models and systems; most of the previous work talks about developments only till 2000. This paper gives a snapshot of the researchers in the field of PMM regarding the developments and transformations in the frameworks for enterprises for the period 1991-2011, thus incorporating recent developments as well.

This paper aims to propose a dynamic model for measurement supply chain performance (SCP) based on a dynamic balanced scorecard (DBSC). Balanced scorecard (BSC) can be defined as a popular performance measurement method that can translate the strategy into a set of performance indicators and manage the status of implementing the various strategies. However, BSC is unable to simulate the complicated environment and the dynamic behavior of performance metrics. Therefore, the author combines BSC with system dynamics (SD) to explore a more efficient tool for measurement SCP.

A dynamic causal model is proposed based on the causal hypotheses. The developed DBSC enables managers to evaluate and measure the SCP in a much-balanced way. Using DBSC makes it possible that different SCP metrics to be reviewed and distributed into the four above-mentioned perspectives. It also enables supply chain (SC) managers to evaluate different strategies to improve SCP.

investigates two strategies to improve SCP as follows: (1) competitive strategy and (2) harvesting big data and using data mining techniques to determine the customer's expectations and then compares the results of these two strategies based on the four perspectives of DBSC and introduce the best strategy. Finally, harvesting big data and data mining is selected as the best strategy.

This study proposes a novel strategic management tool for measurement SCP and simulation of the complicated environment and the dynamic behavior of performance metrics. The proposed DBSC model enables managers to compare different strategies and select the best strategy.

Production planning and resource allocation are ongoing issues that organisations face on a day-to-day basis. The purpose of this paper is to address these issues by developing a dynamic performance measurement system (DPMS) to effectively re-deploy manufacturing resources, thus enhancing the decision-making process in optimising performance output. The study also explores the development of dynamic capabilities through exploitation of the organisational tacit knowledge.

The study was conducted using six-stage action research for developing DPMS with real-time control of independent variables on the production lines to study the impact. The DPMS was developed using a hybrid approach of discrete event simulation and system dynamics by using the historical as well as live data from the action case organisation.

Through the development of DPMS and by combining the explicit and tacit knowledge, this study demonstrated an understanding of using cause and effect analysis in manufacturing systems to predict performance. Such a DPMS creates agility in decision making and significantly enhances the decision-making process under uncertainty. The research also explored how the resources can be developed and maintained into dynamic capabilities to sustain competitive advantage.

The present study provides a starting-point for further research in other manufacturing organisations to generalise findings.

The originality of the DPMS model comes from the approach used to build the cause and effect analysis by exploiting the tacit knowledge and making it dynamic by adding modelling capabilities. Originality also comes from the hybrid approach used in developing the DPMS.

The effectiveness of performance measurement is an issue of growing importance to industrialists and academics alike. Many organisations are investing considerable amounts of resource implementing measures that reflect all dimensions of their performance. Consideration is being given to what should be measured today, but little attention is being paid to the question of what should be measured tomorrow. Measurement systems should be dynamic. They have to be modified as circumstances change. Yet few organisations appear to have systematic processes in place for managing the evolution of their measurement systems and few researchers appear to have explored the question, what shapes the evolution of an organisation’s measurement system? The research reported in this paper seeks to address this gap in the literature by presenting data that describes the forces that shape the evolution of the measurement systems used by different organisations.

In recent years, the balanced scorecard (BSC) has received considerable interest among practitioners for managing their organization’s performance. Unfortunately existing BSC frameworks, particularly for humanitarian supply chains, lack causal relationships among performance indicators, actions, and outcomes. They are not able to provide a dynamic perspective of the organization with factors that drive the organization’s behavior toward its mission. Lack of conceptual references seems to hinder the development of a performance measurement system toward this direction. The paper aims to discuss these issues.

The authors formulate the interdependencies among key performance indicators (KPIs) in terms of cause-and-effect relationships based on published case studies reported in international journals from 1996 to 2017.

This paper aims to identify the conceptual interdependencies among KPIs and represent them in the form of a conceptual model.

The study was solely based on relevant existing literature. Therefore further practical research is needed to validate the interdependencies of performance indicators in the strategy map.

The proposed conceptual model provides the structure of a dynamic balanced scorecard (DBSC) in the humanitarian supply chain and should serve as a starting reference for the development of a practical DBSC model. The conceptual framework proposed in this paper aims to facilitate further research in developing a DBSC for humanitarian organizations (HOs).

Existing BSC frameworks do not provide a dynamic perspective of the organization. The proposed conceptual framework is a useful reference for further work in developing a DBSC for HOs.

The purpose of this paper is to propose an integrated performance measurement framework to measure the effect of lean implementation throughout all functions of an organization.

The paper identifies the seven categories representing all organizational functions. These categories have been divided into 26 performance dimensions and key performance indicators (KPIs) for each performance dimension have been identified to measure lean performance. The interrelationship of each category with lean principles and/or lean wastes has been identified. KPIs are developed on the basis of identified criteria, frequency analysis of existing literature, and discussion with industry professionals. Finally, an integrated performance measurement framework is proposed.

The proposed framework evaluates the organization under seven categories – manufacturing process, new product development (NPD), human resource management, finance, administration, customer management, and supplier management. In total, 26 dimensions and 119 key performance indicators have been identified under the seven categories.

The proposed framework is a conceptual framework and it is to be tested by empirical and cross-sectional studies.

The main novelty of the research is that the leanness of the organization has been measured throughout the supply chain of the organization in an integrated way. The various areas of measurement are manufacturing process, NPD, finance, administration, customer management, and supplier management. Further, the proposed KPIs are also categorized as qualitative or quantitative, strategic or operational, social or technical, financial or non-financial, leading or lagging, static or dynamic. This paper contributes to the body of knowledge in performance measurement.