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The purpose of this paper is to introduce the relative profitability and growth matrix and to demonstrate its use as a competitive analysis tool.

Two well‐known drivers of value are profitability and growth. After a study of 2 × 2 matrices we applied these drivers on a relative or industry comparative basis to a 2 × 2 matrix, and then we applied that matrix to competitive analyses of two industries to assess its strategic utility.

Our findings suggest that the relative profitability and growth matrix could be a useful competitive analysis screening and communications tool.

The relative profitability and growth matrix assesses a firm's profitability and growth relative to its industry and by so doing helps to identify and classify performance in a succinct format that facilitates further analysis. After such analysis has been completed the matrix can also serve as a convenient tool to communicate the analytical findings.

The relative profitability and growth matrix is a value‐driver based 2 × 2 matrix, the strategic utility of which is demonstrated and explained in two examples.

A DSIR Sponsored Research Programme on the Development and Application of the Matrix Force Method and the Digital Computer. This work presents a rational method for the structural analysis of stressed skin fuselages for application in conjunction with the digital computer. The theory is a development of the matrix force method which permits a close integration of the analysis and the programming for a computer operating with a matrix interpretive scheme. The structural geometry covered by the analysis is sufficiently arbitrary to include most cases encountered in practice, and allows for non‐conical taper, double‐cell cross‐sections and doubly connected rings. An attempt has been made to produce a highly standardized procedure requiring as input information only the simplest geometrical and elastic data. An essential feature is the use of the elimination and modification technique subsequent to the main analysis of the regularized structure in which all cutouts have been filled in. Current Summary A critical historical appraisal of previous work in the Western World on fuselage analysis is given in the present issue together with an outline of the ideas underlying the new theory.

The purpose of this paper is to examine Nick Moore’s information policy matrix and how it has been used by Moore and others.

This study involved secondary search and a bibliographic study of the impact Moore’s work has had on other authors.

It is clear that there have been two quite separate trains of research in information policy, one in the USA and one in Europe, and that it appears from the literature that there is limited awareness of each other’s work. Focusing on the UK and European research, the papers the authors inspected that report information policy analyses make no mention of Moore’s work. It could be argued that Moore’s matrix is too simplistic for such a complex topic as information policy, but it may also be the case that there is a lack of awareness of how the matrix can be used in policy analysis as Moore’s published papers were general descriptions of the matrix, reported the findings of his analyses or suggested policy goals. Moore did not publish theoretical or methodological papers to explain how to go about policy analysis using his matrix.

This study is based on secondary research and bibliographic analysis. Furthermore, primary research could have revealed deeper insights into use and impact of Moore’s framework by analysts and policy makers.

The paper highlights potential opportunities for international collaboration on information policy research, to explore more deeply theoretical models that could be used to underpin policy analysis as well as the potential value of Moore’s matrix.

The purpose of this paper is to present a qualitative research method using oral history interview data that may advance new types of methodological inquiry in management and organisation history research.

The method, the authors present, combines matrix and template analysis using oral histories from unstructured interviews with 31 senior managers in the UK individual personal pensions product market to illuminate how the construction of “matrices” and “templates” can then be compared and contrasted across different time periods, and at different units of analysis, to analyse complex temporal data.

The authors highlight the veracity of a combination of template and matrix analysis for researchers handling management and organisation history data.

Elaborations of new research methodologies suitable for handling historical data remain few and far between. The proposed method offers a new approach for handing temporal textual data.

This paper is concerned with rank analysis of rectangular matrix of a homogeneous set of incremental equations regarded as an element of continuation method. The rank analysis is based on a known feature that every rectangular matrix can be transformed into the matrix of echelon form. By inspection of the rank, correct control parameters are chosen and this allows not only for rounding limit and turning points but also for branch‐switching near bifurcation points.

The globalisation of markets, emerging concepts of sustainable development, and circular economy have defined the boundaries within which organisations must compete and address the needs of key stakeholders. As circumstances change, boundaries are often replaced by the relationships between companies and the communities they serve. Consequently, strategy has become a central aspect of sustainable leadership and the foundation for implementing strategic management in a dynamic system of relationships. Every company is born and grows within social and economic ecosystems. Drawing on the metaphor of biology, ecosystems are described as dynamic interconnections among various elements that influence and foster entrepreneurship. Interconnections between players (such as marketplaces, organisations, governments, and universities) create a flow of expertise, abilities, knowledge, experience, and tangible resources. Economic and social ecosystems involve various actors and components that continuously coexist and interact, leading to the creation of numerous mutual relationships. Consequently, it is crucial for managers to gain a comprehensive understanding of the internal and external environments. Various decision-making tools and strategies can be used to achieve this goal. These tools were developed to assist managers, researchers, and consultants in making informed decisions under complex scenarios. This chapter presents several decision-making strategies and tools, including the Boston Consulting Group (BCG) matrix, General Electric (GE) matrix, Balanced Scorecard (BSC), PEST, PESTEL analysis, and SWOT analysis.

Adapting to external and internal transformations is a difficult task that managers and scholars must face while attempting to keep their organisations alive and well-established. This chapter explores the various decision-making tools that can assist practitioners and scholars to improve their understanding of the external scenario to determine the contemporary appropriateness of these approaches for analysing the environment and their implications for various types of organisations. The chapter investigates the barriers and drivers of these methods and proposes existing alternative paradigms created by academics and practitioners to analyse and comprehend the context. It demonstrates how these decision-making tools can be implemented by providing examples and case studies.

Automotive industry is one of the most important industries in the economy of countries due to its extensive relationship with other industries; high production and employment rate play a significant role in the sustainable development of countries. Therefore, the improvement of value creation integration strategies in this industry is very important because it is related to the level of economic sustainability of countries. The purpose of this study is to analyze the integration matrix of the creating sustainable value process in the automotive industry.

This research is a development/mixed methodology that aims to symmetrically combine the relationship between the components of sustainable value creation integration through Mick Mac matrix analysis to identify the most effective drivers of the research subject in the Iranian automotive industry. Therefore, in this study, first, in the qualitative part, meta-synthesis analysis and Delphi analysis were used to identify the thematic components of the integration of the process of creating sustainable value and to determine the theoretical adequacy of the components. Then, in a small part, an attempt was made to explain the approved components, based on the symmetric matrix analysis in the Mic Mac diagram, in the automotive industry to determine a more stimulus for integrating the sustainable value creation process, with the participation of 16 automotive executives.

Based on the results in the qualitative section, 8 thematic components were identified to evaluate the integration of the sustainable value creation process, and after Delphi approval, these components were approved in terms of theoretical adequacy. The results in the quantitative part based on matrix analysis showed that the most motivating component in integrating the process of creating sustainable value in the automotive industry is the development of innovative ideas. To create integration in creating sustainable value, it is necessary to create a positive impact of creative ideas in the three components of balancing performance with the changing needs of K3 customers, the dynamics of communication with K8 suppliers, reducing the diversity of materials used in K5 production.

This paper is considered as a research that contributes to the broader research area of the automotive industry by unpacking the concept of value creation from a sustainability perspective. This is the first study to review extensively of integrating sustainable value creation process into the automotive industry. Although an area of research importance in terms of developing theoretical literature and applied basis in increasing the effectiveness of competitive strategies. But less research has examined this issue, and conducting this research and expanding it to the level of sustainability value literature can enhance its institutional and research capacities at the international level and contribute to the coordination of the development of theoretical.

The purpose of this paper is to overcome the shortcomings of existing multivariate grey incidence models that cannot analyze the similarity of behavior matrixes.

First, the feasibility of using gradient to measure the similarity of continuous functions is analyzed theoretically and intuitively. Then, a grey incidence degree is constructed for multivariable continuous functions. The model employs the gradient to measure the local similarity, as incidence coefficient function, of two functions, and combines local similarity into global similarity, as grey incidence degree by double integral. Third, the gradient incidence degree model for behavior matrix is proposed by discretizing the continuous models. Furthermore, the properties and satisfaction of grey incidence atom of the proposed model are research, respectively. Finally, a financial case is studied to examine the validity of the model.

The proposed model satisfies properties of invariance under mean value transformation, multiple transformation and linear transformation, which proves it is a model constructed from similarity perspective. Meanwhile, the case study shows that proposed model performs effectively.

The method proposed in the paper could be used in financial multivariable time series clustering, personalized recommendation in e-commerce, etc., when the behavior matrixes need to be analyzed from trend similarity perspective.

It will promote the accuracy of multivariate grey incidence model.