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Shows how the pursuit of excellence and the organizational change required by lean production leads to a management‐by‐process organization, and that management by process influences the performance measurement system (PMS). Uses Zanussi‐Electrolux ‐ the biggest European producer of domestic appliances ‐ as a case study example. Provides a detailed analysis of the organizational change and its effects on performance measurement.

The purpose of this paper is to explore the adoption of lean practices by manufacturing companies in regions of low economic and technological development and to compare findings with previous studies from more developed regions highlighting important contextual differences. The paper uses the contingency theory to explore how contextual variables and scarce resources influence the adoption of lean practices.

A survey of 233 manufacturing firms was conducted in the State of Pará in the Amazon Region of Brazil.

The results demonstrate that six internal lean practices (single minute exchange of dies, human resource management, continuous flow, total productive maintenance, pull and statistical process control) and two external lean practices (supplier feedback and customer involvement) are implemented. However, the two external lean practices of just-in-time delivery by suppliers and supplier development were not implemented. Furthermore, from the 36 operating items comprised in eight lean practices that are being used, 13 were not implemented. As such, compared to developed regions, there is evidence for a more fragmented implementation in less developed regions. The results reveal empirical evidence explained by the contingency perspective, such as national, geographical, strategic context and culture.

There is broad evidence on lean implementation in developed and developing countries in the literature. However, little is known about lean implementation in poorer regions of developing counties. This is one of the first studies mapping lean implementation in a region with low economic and technological development. This has important implications for research and practice, especially to cross-country/cultural research on operation management.

The purpose of this paper is to present a framework for improving innovation capability through performance measurement in small- and medium-sized enterprises (SMEs). The development of an organisation’s innovation capability is considered increasingly important in the current literature. Developing such capability is essential, as innovation plays a key role in the survival and growth of organisations. A review of current literature highlights the need for a framework on the development of innovation capability, especially in SMEs.

A literature review was used to form an understanding of previous work in the research area. Previous literature was used to define the key concepts and further to build the conceptual framework.

As a result of the study, a framework for improving innovation capability through performance measurement in SMEs is presented. Key issues that must be addressed are highlighted and discussed.

The paper contains suggestions for improving innovation capability through performance measurement. Using the results of this study, practitioners can enhance their innovation capability by measurement and by taking better account of different situations regarding the development of innovation capability. The framework clarifies the issue of how innovation capability and its determinants can be managed through measurement, and therefore it assists especially SMEs in their attempts to cope with the increasing need for innovation as an asset of their business performance.

There are very few examples in the current literature of frameworks for the issue, especially for SMEs. The role of performance measurement in developing innovation capability is also ignored in the current literature. The paper is relevant for academics, as it clarifies the existing body of knowledge and provides a platform for future research.

This paper aims to clarify the notions that underlie performance measurement systems (PMS) and to propose an information systems (IS)‐based characterisation and definition of PMS, that is, as a performance management information system (PMIS).

Research on PMS can be enhanced by a clear, precise and uniform characterisation of this research object in IS terms A classification scheme is developed and the contribution areas of an IS perspective to PMS research are presented and exemplified.

The knowledge developed in IS research in the form of IS theories, models and methods can be applied in research on PMS, particularly in empirical studies that analyse the individual and organisational behaviours associated with the PMS phenomenon.

The conceptualisation and definition of PMS, as found in the literature, have not truly reflected their basic nature and characterisation as IS.

The research benefits of an IS‐based approach are illustrated through a PMS usage model founded on IS theory. In so doing, a contribution is made to the PMS research field by reinforcing its theoretical and empirical foundations.

This study proposes a novel and demonstrably useful IS‐based perspective, including an improved conceptualization and definition of PMS.

The purpose of this paper is to draw attention to a void in the literature on enterprise flexibility: The Management Control Systems’ (MCS) role in the enterprise flexibility and stability discussion. MCS can be instrumental in securing an organization’s strategic performance objectives, far beyond the mere managerial control and accounting perspectives of traditional MCS’ roles.

This study is qualitative in nature, and presents a theoretical approach with a conceptual model to address enterprise flexibility and stability jointly; arguing that both should be part of the MCS’ design and implementation with a distinct strategic outlook. Several theoretical and practical arguments are presented which reinforce this thesis.

To operate optimally, enterprises must be able to manage their limited resources in efficient and effective manner. This is especially so when dealing with uncertainty and contingencies on an ongoing basis, while following a defined strategic choice. Such choices are expected to mirror enterprise flexibility types and measures without neglecting enterprise stability requirements, linking both to strategic performance measurement indicators.

Further work is needed to explore not only how different types of enterprise flexibility and stability measures can bring additional benefits to the firm but also how best to apply such types in accordance with business and operations strategies, organizational stability requirements and management control strategies.

MCS can and should take part of an organization’s strategic performance measures but these are to be understood from a systemic design perspective of the enterprise system’s metacontrollability, addressing flexibility and stability jointly.

There is a need to reevaluate the role of MCS and their strategic potential. The approach presented can have valuable potential ramifications and insights for management and information sciences as well as for the enterprise management practitioners as a whole.

This paper provides original research on enterprise flexibility and stability analysis, covering all aspects of MC and its role on the enterprise’s metacontrollability. Design and coordination of the seven basic elements which comprise MCS are analyzed, as well as how they influence one another. The paper includes two tables to illustrate the approach being proposed. Table I presents a classification of the literature reviewed in the paper while Table AI presents the choice of the theoretical lens on enterprise flexibility from other authors which contrasts with the model proposed. The role of MCS in the enterprise is also included.

Flexibility has become one of the most useful and necessary weapons in many of today's competitive markets. For companies in situations considering investments in flexibility, it is necessary to assess carefully exactly what flexibility could benefit the company's operations, and how this flexibility can be achieved. Different manufacturing situations are associated with different levels of uncertainty and variations, and therefore call for different sorts of flexibility. Although flexibility has been argued to be available (to a certain point) without major investments in technology, it can be assumed that flexibility is most likely to come at a price. A company should therefore spend considerable effort on identifying what flexibility would be of benefit to the organisation to enhance their performance, and thereafter assess how to achieve it. This paper provides a comprehensive analysis of variability and uncertainty, and therefore, the need for flexibility within an organisation by examining market and manufacturing process related factors. Each factor is further examined to find out relevant flexibilities and corresponding methods, tools, and techniques to be used by suggesting proposed manufacturing approaches to organisations. The human factor is suggested as an essential flexibility component as well as a key contributor for selecting, developing, improving and implementing flexibilities in order to succeed in markets that are accelerating and becoming more turbulent.

To cope with the existing pandemic situation and to be organizationally responsive, firms need to be strategically flexible, where they need to develop dynamic capabilities (DCs) by continuously reconfiguring their resource base. To address such challenges, firms heavily rely on information and communication technologies (ICT) because of advancement in disruptive technologies. This study aims to explore techniques used by higher education institutional (HEI) leaders to successfully address challenges posed by global disruption, i.e. COVID-19 with the help of advanced ICT software such as Zoom, Google Meet and Microsoft Teams.

A qualitative approach was adopted to explore strategic factors such as strategic flexibility (SF) and DC that disclose shortcomings in the current extant literature. A total of 15 interviews were conducted with heads of departments of HEIs in the United Arab Emirates. Data were analyzed using NVivo software.

The findings suggested three dimensions of SF (resources, operational and collaborative) and four dimensions of DC (strategic planning, innovative, adaptability and technological) for firms to adopt to be strategically flexible, where DC serves as building blocks of SF.

This research provides a framework as an avenue for future researchers and practitioners on how to strategically manage their resources and be strategically flexible in turbulent environment such as pandemics. Theory-based investigations on strategic capabilities and DC from resource-based perspective are still under-researched, emphasizing the need for theoretically based research on strategic responsiveness, especially during the times of environmental complexities such as COVID-19 pandemics. This research enriches strategic management research by exploring the important antecedents of organizational responsiveness, including SF and DC together with the support of human factor, i.e. leadership qualities of HEIs managers. This study, to the best of the authors’ knowledge, is among the first to systematically explore main dimensions of DC and SF based on the resource-based theory of strategic management in the Middle Eastern context.

While the concept of supply chain responsiveness (SCR) has received considerable attention in the operations management literature, mostly under the auspices of concepts such as build‐to‐order, mass customisation, lean and agility, so far there is a lack of comprehensive definition of SCR, as well as a defined relationship between “responsiveness” and “flexibility”. Also, the frameworks at hand tend to consider only a subset of factors previously identified in the literature, and thus do not comprehensively portray the cause‐and‐effect relationships involved. This paper aims to address these gaps.

The paper synthesises the existing contributions to manufacturing and supply chain flexibility and responsiveness, and draws on various related bodies of literature that affect a supply chain's responsiveness such as the discussion of product architecture and modularisation.

Four types of responsiveness are identified: product, volume, mix, and delivery, all of which can relate to different time horizons, and can be present as either potential or demonstrated responsiveness. It is argued that a supply chain can feature different levels of responsiveness at different tiers, depending on the configuration of the individual nodes, as well as the integration thereof. Furthermore, a holistic framework is proposed, distinguishing between requiring and enabling factors for responsiveness, identifying the key relationships within and between these two categories.

The definition and framework proposed provide novel insights into the concept of SCR as well as a clear terminology that will inform future research. The framework developed in this paper is suitable for both qualitative and holistic quantitative studies.

In addition to a detailed review of the factors associated with SCR, a generic definition of responsiveness is developed. The paper proposes a definition of four types of responsiveness which will support further empirical studies into the concept and its application. Furthermore, a holistic framework is developed that allows for cause‐and‐effect relationships to be investigated and dependencies to be identified.

Construction projects in the real estate sector are important for a nation’s economic growth. However, owing to several constraints and stereotypes, the construction industry is suffering from major capital losses. A review of recent literature revealed that risks occurring in real estate construction projects (RECPs) carried out in developing economies can be divided into four categories, i.e. financial risks, design risks, execution risks and sociopolitical risks. This study aims to identify the critical factors that lead to these risk categories and develop a control structure for RECPs.

A quantitative method, i.e. a questionnaire-based survey, was used for this study. Using a random sampling technique the questionnaire was distributed to selected, highly experienced project managers. To determine whether the factors identified as part of the literature review strongly influence the categories, the factor analysis of the observations was performed.

The observations made in this study lead to the identification of six critical risk causing factors, i.e. lack of efficient planning, execution constraints, external constraints, client-induced constraints, project constraints and partner experience. The observations indicated a lack of knowledge of project management, organizational culture and a claims redressal mechanism in RECPs. Also, this study recommends a blockchain-based control structure to control the occurrence of the risk causing factors identified.

This study recommends a blockchain-based control structure for controlling the risks occurring.