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The purpose of this paper is to critically evaluate the use of the evolutionary approach, and in particular the generalisation of Darwinian principles beyond biology to study socio‐cultural change.

The paper presents a review of developments in generalising Darwinism to study socio‐cultural change, including key criticisms against using the approach. In the process key disagreements between the different conceptual approaches taken by evolutionary scholars, and key criticisms against using an evolutionary approach are highlighted.

It was seen that a number of critics fail to grasp the abstracted concept of Universal and Generalised Darwinism, focusing their arguments on detailed differences between socio‐cultural and biological evolution. Future research within the field should be directed towards building consensus regarding the definitions of key concepts, and using detailed empirical investigations to shed light on the usefulness of the different approaches taken for research and practice.

The key contribution of this paper is the presentation of a critical review of developments made in generalising Darwinism. It is further argued that the universal appeal of the approach offers researchers an opportunity for cross‐fertilising ideas, generating new insights across disciplines and learning from developments being made in parallel fields of study.

The author presents a comparative study of the three evolutionary economic schools, namely the Austrians, neo-Schumpeterians, and institutionalists. The comparison is based on an analysis of nine basic features of the evolutionary process and evolutionary approach, including a dynamical view of economic phenomena (seen from a historical perspective), a focus on far-from-equilibrium analysis, a proper and realistic perception of time, and a population perspective (to what extent emergent properties are results of interaction among economic agents). The relevant features of the evolutionary process are the heterogeneity and behavior of economic agents, the search for novelty based on a concept of economic agents’ hereditary information, a selection process (based on the concept of rivalry), spontaneity of development, and the presence of decision-making procedures (how economic agents make decisions, and to what extent their subjective values play a role). The goal of the comparative analysis is to estimate the level of “evolutionary content” of the three schools. My subjective evaluation suggests that only the Austrian school can be called entirely evolutionary. Slightly less evolutionary are the neo-Schumpeterians, and the least evolutionary are the institutionalists.

The purpose of this paper is to identify complementarities between the approaches of population ecology and evolutionary economics in order to contribute to a synthesis of organizational evolutionary dynamics and its implications for a strategic management research model. Using the metatriangulation technique to construct theories, we attempt to entwine these two perspectives. The proposed model is structured in two dimensions: the environmental selective system and the corporate adaptation process. The environmental selective system gathers together the complementary factors presented by evolutionary economics and ecology: technological innovation, demographic processes, environmental dynamism, population density and other institutional processes, and interpopulation dynamics. As ecology does not encompass the corporate adaptation process (generation, selection, and propagation of variations), the proposed model adopts the theoretical grounds underpinning evolutionary economics. The model offers three main contributions for future research into strategic management. First, it allows the development of descriptive and normative studies of the relationship among the environmental selection factors and the different types of enterprise strategies. Second, the proposed conceptual framework may be very beneficial for studies of interorganizational learning. Third, the model has the advantage of responding to the criticism of strategy theories in terms of their inability to generalize.

Community detection of dynamic networks provides more effective information than static network community detection in the real world. The mainstream method for community detection in dynamic networks is evolutionary clustering, which uses temporal smoothness of community structures to connect snapshots of networks in adjacent time intervals. However, the error accumulation issues limit the effectiveness of evolutionary clustering. While the multi-objective evolutionary approach can solve the issue of fixed settings of the two objective function weight parameters in the evolutionary clustering framework, the traditional multi-objective evolutionary approach lacks self-adaptability.

This paper proposes a community detection algorithm that integrates evolutionary clustering and decomposition-based multi-objective optimization methods. In this approach, a benchmark correction procedure is added to the evolutionary clustering framework to prevent the division results from drifting.

Experimental results demonstrate the superior accuracy of this method compared to similar algorithms in both real and synthetic dynamic datasets.

To enhance the clustering results, adaptive variances and crossover probabilities are designed based on the relative change amounts of the subproblems decomposed by MOEA/D (A Multiobjective Optimization Evolutionary Algorithm based on Decomposition) to dynamically adjust the focus of different evolutionary stages.

The purpose of this paper and its companion (Part II: multi‐silo supply chains) is to investigate methods to tackle complexities, constraints (including time‐varying constraints) and other challenges. In tis part, the paper aims to devote attention to single silo and two‐silo supply chains. It also aims to discuss three models. The first model is based on the winebottling real‐world system and exposes complexities of a single operational component of the supply chain. The second model extends it to two components: production and distribution. The last system is a real‐world implementation of the two‐component supply chain.

Evolutionary approach is proposed for a single component problem. The two‐component experimental supply chain is addressed by the algorithm based on cooperative coevolution. The final problem of steel sheet production is tackled with the evolutionary algorithm.

The proposed systems produce solutions better than solutions proposed by human experts and in a much shorter time.

The paper discusses various algorithms to provide the decision support for the real‐world problems. The proposed systems are in the production use.

This article aims to provide an exposition of evolutionary game theory which can be used for pedagogical purposes.

The exposition is presented as a mathematical model in order to cover the formal underpinnings of evolutionary game theory. The paper aims to illustrate the theory using some simple examples.

The paper discusses population games and describes the notion of revision protocols that agents use to change strategies. As an example of an evolutionary dynamic, the paper discusses the replicator dynamic in detail. It shows convergence of this dynamic to Nash equilibrium in simple 2 strategy games. The paper then applies this dynamic to a particular class of 3 strategy games to establish the possibility on cyclical behavior around a Nash equilibrium.

The paper can serve as an educational briefing for students and researchers who are new to the field of evolutionary game theory.

Purpose – The purpose of this chapter is to show that because the evolutionary roots of many kinds of phenotypic social phenomena can be partly traced to genotypic factors, it would be useful for social sciences to adopt a socio-biological research formula, which combines the impacts of genotypic and environmental explanatory factors.

Design/methodology/approach – The exclusion of evolutionary factors from social sciences and some previous studies using evolutionary factors is first reviewed, after which a socio-biological research formula (y=(a+b)+x) is introduced. It is hypothesized that national IQ as an important genotypic factor explains a significant part of the global variation in all kinds of phenotypic social phenomena. The hypothesis is tested and the use of the socio-biological research formula is illustrated by studies of democratization (ID-10) and human development (HDI-11).

Findings – The results of correlation analysis support the hypothesis on the evolutionary variable’s (national IQ) universal explanatory power. National IQ explains 33 percent of the variation in ID-10 and 68 percent of the variation in HDI-11. Environmental variables increase significantly the explained part of variation in a dependent variable in the case of ID-10 but less in the case of HDI-11.

Practical implications – Because it is evident that national IQ as an evolutionary variable explains a significant part of the variation in all kinds of phenotypic social phenomena, it would be sensible for social sciences to adopt the suggested socio-biological research formula based on the idea that intelligence constitutes an important common explanatory factor.

Originality/value – The suggested socio-biological research formula provides for the social sciences a common theoretical starting point to study many kinds of social problems.

This study aims to analyze the emergence of a new structural configuration of globalization, with the 2008 global financial crisis serving as the first symptom of this change. By introducing the “Evolutionary Structural Triptych” (EST), this research seeks to understand the basic components of the new evolutionary trajectory of global capitalism post-2008. The study places emphasis on its interdependent and coevolving economic, political and technological dynamic facets.

This research introduces the EST framework, critically contrasting it with conventional understandings in international political economy (IPE) to provide a comprehensive and structured analysis of global developments after 2008. It traces the phases of global capitalism since Second World War, examines the central dynamic dimensions during each evolutionary phase, identifies the basic patterns and delves into the foundational elements of the emerging era of globalization.

The analysis reveals three key findings. First, the emerging restructured globalization indicates a need for a new balance in the contemporary world system; however, this balance cannot be achieved within the architecture of the old system. Second, the new era of globalization necessitates a re-equilibrated approach across different dimensions of geopolitical stability, economic development and innovation. This approach should emphasize sustainability, adaptability, resilience and inclusivity and lean toward responsible, open and organic innovation models for a revamped global structure. Third, while many current IPE theories tend to compartmentalize aspects of the new globalization, the EST advocates for a holistic perspective that integrates politics, economics and technology within the framework of global trends. This perspective bridges existing gaps and offers actionable insights for a dynamic and inclusive global future.

The paper presents the EST as a novel analytical instrument in the realm of the modern IPE. This tool uniquely places technology and innovation at the forefront, parallel to economic and political spheres, to comprehend the progression of globalization. In doing so, it highlights the intertwined relationship of these structural dimensions in shaping the future of the subject of the IPE.

This paper aims to explain how the dynamic demand environment influences strategic firm behavior along an industry’s evolutionary path. A conceptual gap concerning the influence of demand-side environmental factors (vis-à-vis changes in technology and policy) on firms’ strategic choices motivates the theory developed herein. The paper’s contribution to the literature on “evolutionary perspective in strategy” also addresses an important gap in the emerging literature on “strategy dynamics”.

The conceptual framework in this paper features a dynamic demand environment that provides the structural context for firms’ strategic choices. It conceptualizes demand-side competence as a mediating firm-specific construct to explain the endogenous relationship between the characteristics of the demand environment and firms’ path dependent demand-side investments.

A review of the literature on evolutionary perspective in strategy reveals an important conceptual gap concerning the structural determinants of dynamic firm behavior. There is no explanation of the endogenous relationship between dynamic demand structure, firms’ dynamic demand-side competence, and temporally heterogeneous strategic choices.

The demand-side explanation of how idiosyncratic firm behavior is endogenously determined, with both structural characteristics (demand structure) and firm competences (demand-side competence), addresses an important conceptual gap. The novelty of the theory developed herein lies in its explication of the effect of dynamic demand environment on the evolution of idiosyncratic strategic firm behavior – entry, investment and exit – along the evolutionary path of an industry. The theory developed herein not only explains the effect of both determinants of idiosyncratic strategic firm behavior – the external industry environment (dynamic market structure) and internal firm environment (dynamic firm competences) – but also explains how the determinants evolve along the industry’s lifecycle.

This paper aims to go beyond a bookkeeping approach to evolutionary analysis whereby surviving firms are better adapted and extinct firms were less adapted. From discussion of the preliminary findings of research into the Hobart pizza industry, evidence is presented of the need to adopt a more traditional approach to applying evolutionary theories with organizational research.

After a brief review of the relevant literature, the preliminary findings of research into the Hobart pizza industry are presented. Then, several evolutionary concepts that are commonplace in ecological research are introduced to help explain the emergent findings. The paper concludes with consideration given to advancing a more consistent approach to employing evolutionary theories within organizational research.

The paper finds that the process of selection cannot be assumed to occur evenly across time and/or space. Within geographically small markets different forms of selection operate in different ways and degrees requiring the use of more traditional evolutionary theories to highlight the causal process associated with population change.

The paper concludes by highlighting Geoffrey Hodgson's Principle of Consistency. It is demonstrated that a failure to truly understand how and why theory is used in one domain will likely result in its misuse in another domain. That, at present, too few evolutionary concepts are employed in organisational research to ensure an appreciation of any underlying causal processes through which social change occurs.

The concepts introduced throughout this paper, whilst not new, provide new entry points for organizational researchers intent on employing an evolutionary approach to understand the process of social change.