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The paper highlights the importance of visual representations of strategic intent in order to understand how organizational resources – especially intangible assets and intellectual capital – are used to create value. Based on the literature the paper provides a taxonomy of organizational value drivers. Grounded in the resource‐based view of the firm, which argues that organizational resources or assets are bundled together and interdependent, it then highlights shortcomings in the strategy map approach based on the balanced scorecard. The paper then introduces the value creation map that utilizes both direct and indirect dependencies to map value creation. It is suggested that this approach complements the strategy map approach by extending its view of value creation from direct to both direct and indirect dependencies. Subsequently, the paper presents a case study of how the value creation map was applied to understand the new product development process in a leading furniture manufacturing firm.

The purpose of this paper is to investigate the measurement and the management of the dynamic aspects of intellectual capital through the use of causal mapping.

The paper details the methods utilized in a single in-depth case study of a network-based business model.

The paper illustrates how causal mapping can be used to understand how intellectual capital really works in the specific business context in which it is deployed. Moreover, exploiting the causal map as a platform for extracting a set of indicators can provide information on the length of the lag and the persistence of the effects of managerial actions. In addition, it can signal when and how to refine and update the causal map. The combination of these factors can potentially support the dynamic measurement and management of intellectual capital.

The paper presented has two main limitations. First, the use of a single case study to provide in-depth and rich data limits the generalizability of the observations. Second, the proposed approach has not been implemented in practice. Future research opportunities include interventionist-type case studies that put the causal mapping approach into practice.

The paper highlights the need to build causal maps to enhance the measurement and management of intellectual capital, which is dynamic in nature. As a consequence, this tool can be useful for monitoring the intangibles of companies and networks and to better understand the contribution their intellectual capital makes to the value creation process.

The paper openly questions the measurement of the fluid and dynamic aspects of intellectual capital. It proposes a tool for governing these aspects and it suggests that even the existing intellectual capital measurement systems can improve their usefulness by including these dimensions. So, a shift in intellectual capital measurement is prescribed.

The purpose of this paper is to present a conceptual framework – the FM Value Map – to understand and explain the different ways in which FM can add value to a core business, and possibly to the surroundings.

The value map has been developed based on inductive reasoning from an analysis of a large number of cases in an explorative empirical study of FM best practice in the Nordic countries of Europe. It has been tested and modified from discussions with practitioners in a Nordic FM project group and aligned with the current European standardisation of taxonomy for FM.

The FM Value Map was successfully tested in a number of case studies from companies in the five Nordic countries.

The present version of the FM Value Map is not seen as a final model, but as a result of an initial development. The model should be tested and validated further and also refined.

The FM Value Map can be used in general to provide a better understanding of the value and contributions of FM, for instance by FM organisations in the dialogue with their customers.

The FM Value Map is a unique conceptual framework, and a comparison with other models shows that it provides the most holistic framework by including the impacts on the surroundings and all relevant stakeholders.

Teachers of primary education experience high levels of stress but lack rational coping strategies to reduce their work stress. The paper develops a value stream mapping for education approach and examines its use as a rational coping strategy for teams of teachers and other employees to overcome work-related stressors.

The research process consists of two phases. First, a value stream mapping approach for education is developed, based on literature research. Next, the approach is validated in an action research study to reduce work stress of teachers in educational services. The processes that have been selected by the teachers relate to coping with increased variety, long and uncertain throughput times and unclear specifications.

Value stream mapping for education (VSM4EDU) is a well-structured improvement method based on principles of visualization, participation and process thinking, which helps teachers without background in lean thinking to analyse their processes. Using this method has enabled the team to develop rational coping strategies to reduce their work-related stress.

VSM4EDU has been validated using action research at a single school, which implicates deep insight, but further testing at other schools is welcome. Moreover, VSM4EDU has not been used to develop a future state map.

Value stream mapping is useful in educational settings as long as the educational context is respected in the approach.

VSM4EDU empowers teachers and helps to develop co-operation in teams.

The validation of value stream mapping for education is well-documented and original.

The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping.

This paper is an empirical focused on of lean production theory and value stream mapping. The data in the case study were collected in real time on-site for each process during the production process of a prefabricated exterior wall.

The results of the current value stream map indicate that the main problems of the current production process are related to equipment, technology and organization. The equipment problems include simple demolding and cleaning tools and the lack of professional transfer channels. The technology problems include the lack of a marking mechanism and pipeline exit mechanism. There is a lack of standard operating procedures and incomplete process convergence. A comparison and analysis of the current value stream and the future value flow indicate that optimizations of the process flow, the production line layout, and the standard operating procedures have shortened the delivery cycle, reduced the number of workers, improved the operator’s operating level and balanced the production line.

The results of this study provide practitioners with a clear understanding of the optimization of the precast concrete component production and represent a method and basis for the process optimization of a factory production line; the approach is suitable for process optimization in other areas.

This research represents an innovative application of lean production theory and value stream mapping in a complex production line of precast concrete components and thereby fills the gap between the theory and practice of the optimization of a precast concrete component production line.

The purpose of this paper is to discuss recent trends in the circular economy and investigate how value stream mapping (VSM) can be extended to more fully include some of the critical aspects of circular economy.

The findings are based on previous research that has explored the usage of VSM to include aspects of the environment and sustainability aspects. These ideas are then expanded to new ways to use VSM by mapping value of a product as it is; used, maintained, re-used, remanufactured, recycled, incinerated or used for landfill. The authors test out this approach through application in the waste management sector to identify possibilities for improvement and new business opportunities in what now is considered waste.

This paper introduces an expanded version of VSM that refines the existing Lean toolbox for exploring value and mapping value in a circular economy.

The aim of this paper is to expand the relevance and practical value of VSM as the world economy increasingly moves toward a circular one.

Today, VSM is a widespread method within Lean manufacturing that scrutinizes value creation within an organization or within a value chain. This paper describes how VSM can be refined to explore value streams in the afterlife of a product and explore waste as a resource utilization opportunity.

The definition of modeling languages is a key‐prerequisite for model‐driven engineering. In this respect, Domain‐Specific Modeling Languages (DSMLs) defined from scratch in terms of metamodels and the extension of Unified Modeling Language (UML) by profiles are the proposed options. For interoperability reasons, however, the need arises to bridge modeling languages originally defined as DSMLs to UML. Therefore, the paper aims to propose a semi‐automatic approach for bridging DSMLs and UML by employing model‐driven techniques.

The paper discusses problems of the ad hoc integration of DSMLs and UML and from this discussion a systematic and semi‐automatic integration approach consisting of two phases is derived. In the first phase, the correspondences between the modeling concepts of the DSML and UML are defined manually. In the second phase, these correspondences are used for automatically producing UML profiles to represent the domain‐specific modeling concepts in UML and model transformations for transforming DSML models to UML models and vice versa. The paper presents the ideas within a case study for bridging ComputerAssociate's DSML of the AllFusion Gen CASE tool with IBM's Rational Software Modeler for UML.

The ad hoc definition of UML profiles and model transformations for achieving interoperability is typically a tedious and error‐prone task. By employing a semi‐automatic approach one gains several advantages. First, the integrator only has to deal with the correspondences between the DSML and UML on a conceptual level. Second, all repetitive integration tasks are automated by using model transformations. Third, well‐defined guidelines support the systematic and comprehensible integration.

The paper focuses on the integrating direction DSMLs to UML, but not on how to derive a DSML defined in terms of a metamodel from a UML profile.

Although, DSMLs defined as metamodels and UML profiles are frequently applied in practice, only few attempts have been made to provide interoperability between these two worlds. The contribution of this paper is to integrate the so far competing worlds of DSMLs and UML by proposing a semi‐automatic approach, which allows exchanging models between these two worlds without loss of information.

The purpose of this paper is to investigate the performance of chaotic gravitational search algorithm (CGSA) in solving mechanical engineering design frameworks including welded beam design (WBD), compression spring design (CSD) and pressure vessel design (PVD).

In this study, ten chaotic maps were combined with gravitational constant to increase the exploitation power of gravitational search algorithm (GSA). Also, CGSA has been used for maintaining the adaptive capability of gravitational constant. Furthermore, chaotic maps were used for overcoming premature convergence and stagnation in local minima problems of standard GSA.

The chaotic maps have shown efficient performance for WBD and PVD problems. Further, they have depicted competitive results for CSD framework. Moreover, the experimental results indicate that CGSA shows efficient performance in terms of convergence speed, cost function minimization, design variable optimization and successful constraint handling as compared to other participating algorithms.

The use of chaotic maps in standard GSA is a new beginning for research in GSA particularly convergence and time complexity analysis. Moreover, CGSA can be used for solving the infinite impulsive response (IIR) parameter tuning and economic load dispatch problems in electrical sciences.

The hybridization of chaotic maps and evolutionary algorithms for solving practical engineering problems is an emerging topic in metaheuristics. In the literature, it can be seen that researchers have used some chaotic maps such as a logistic map, Gauss map and a sinusoidal map more rigorously than other maps. However, this work uses ten different chaotic maps for engineering design optimization. In addition, non-parametric statistical test, namely, Wilcoxon rank-sum test, was carried out at 5% significance level to statistically validate the simulation results. Besides, 11 state-of-the-art metaheuristic algorithms were used for comparative analysis of the experimental results to further raise the authenticity of the experimental setup.

This study aims to explore consumer brand associations and values derived from a corporate brand and a celebrity brand endorser prior to their endorsement.

This study uses both hierarchical value mapping and brand concept mapping (BCM) to identify brand attributes that translate to personal meaning for consumers and then to identify whether these attributes are encompassed by a specific brand.

Results from brand concept maps and hierarchical value maps show consumers value accessibility and customer service in financial corporate brands. Consumers value expertise in celebrity brands and respect success in both corporate and celebrity brands. A central finding is the importance of brand authenticity. Corporate brand authenticity establishes a sense of security and assists in the development of brand relationships. Celebrity brand authenticity creates consumer attention and enhances celebrity trustworthiness aiding in the development of a consumer – celebrity brand relationship.

The findings have implications for corporate brands utilizing celebrity endorsers. In terms of strategic positioning, corporate brands need to center their marketing communications on desired brand associations at the core of both the corporate and celebrity brand that translate to personal meaning for consumers.

This study uses a combined theoretical and methodological approach, drawing on associative network theory and means-end chain theory, and BCM and hierarchical value mapping methods, respectively, to understand and uncover personal meaning or value derived from brand associations.

To develop an innovative methodology to apply lean value chain improvement techniques to a complete supply chain for a food product from farm to consumer.

Action research based on a UK case study involving farmers, a food processor and a major retailer.

Value stream analysis (VCA) highlights significant opportunities to improve supply chain performance, profitability and relationships.

Lean/VCA methodologies can be readily applied to the retail and processor elements of food chains. However, further research is required to apply the concepts to farm operations.

Subsequent to this research, VCA techniques have been increasingly adopted in UK agri‐food sectors including meat, dairy, cereals and horticulture.

Application of lean concepts and VCA in the agri‐food sector. Development of a multi‐echelon supply chain improvement methodology.