Fictionalism of Anticipation

A promising recent approach for understanding complex phenomena is recognition of anticipatory behavior of living organisms and social organizations. The anticipatory, predictive action permits learning, novelty seeking, rich experiential existence. I argue that the established frameworks of anticipation, adaptation or learning imply overly passive roles of anticipatory agents, and that a fictionalist standpoint reflects the core of anticipatory behavior better than representational or future references. Cognizing beings enact not just their models of the world, but own make-believe existential agendas as well. Anticipators embody plausible scripts of living, and effectively assume neo-Kantian or pragmatist perspectives of cognition and action. It is instructive to see that anticipatory behavior is not without mundane or loathsome deficiencies. Appreciation of ferally fictionalist anticipation suggests an equivalence of semiosis and anticipation

Adaptive tension, self-organization and emergence : A complex system perspective of supply chain disruptions

The purpose of this thesis was to explore how microstate human interactions produce macro level self-organization and emergence in a supply disruption scenario, as well as discover factors and typical human behaviour that bring about disruptions. This study argues that the complex adaptive system’s view of complexity is most suited scholarly foundation for this research enquiry. Drawing on the dissipative structure based explanation of emergence and self-organization in a complex adaptive system, this thesis further argues that an energy gradient between the ongoing and designed system conditions, known as adaptive tension, causes supply chains to self-organize and emerge. This study adopts a critical realist ontology operationalized by a qualitative case research and grounded theory based analysis. The data was collected using repertory grid interviews of 22 supply chain executives from 21 firms. In all 167 cases of supply disruptions were investigated. Findings illustrate that agent behaviours like loss of trust, over ambitious pursuit, use of power and privilege, conspiring against best practices and heedless performance were contributing to disruption. Impacted by these behaviours, supply chains demonstrated impaired disruption management capabilities and increased disruption probability. It was also discovered that some of these system patterns and microstate agent behaviours pushed the supply chains to a zone of emergent complexity where these networks self-organized and emerged into new structures or embraced changes in prevailing processes or goals. A conceptual model was developed to explain the transition from micro agent behaviour to system level self-organization and emergence. The model described alternate pathways of a supply chain under adaptive tension. The research makes three primary research contributions. Firstly, based upon the theoretical model, this research presents a conceptualization of supply chain emergence and self-organization from dissipative structures and adaptive tension based view of complexity. Secondly, it formally introduces and validates the role of behavioural and cognitive element of human actions in a supply chain scenario. Lastly, it affirms the complex adaptive system based conceptualization of supply chain networks. These contributions succeed in providing organizations with an explanation for observed deviations in their operations performance using a behavioural aspect of human agents

Complexity in Economic and Social Systems

There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure

The Narrow and the Broad Approach to Evolutionary Modeling in Economics

Some models in evolutionary economics rely on direct analogies to genetic evolution: Assuming a population of firms with routines, technologies and strategies on which forces of diversity generation and selection act. This narrow conception can build upon previous findings from evolutionary biology. Broader concepts of evolution allow either many or just one adaptive entity instead of necessarily requiring a population. Thus, an institution or a society can also be understood as the evolutionary entity. Both the narrow and the broad approach have been extensively used in the literature, albeit in different literature traditions. The paper gives an overview over the conception and the development of both approaches to evolutionary modeling and argues that a generalization is needed to realize the full potential of evolutionary modeling

The determinants of capital structure choice: Evidence from Western Europe

This paper examines corporate leverage and its determinants on panel of 921 large Western European companies from 2003 to 2010. The results proved a substantial influence of estimated variables on changes in target debt or leverage ratio. Apart of the determinants from the «core” model, I test the influence of stock price variations on changes in capital structure to conclude if companies «time” the market. The estimation procedure of target debt ratio was performed using Fixed-Effect and FGLS methods. The results were compared to the results of often used methodology in previous research - OLS and Tobit regression. I found statistically significant and negative correlation between target leverage ratio and tangibility, market to book, profitability, product uniqueness and total return (average stock return) and statistically significant and positive correlation between target leverage ratio and size. The results suggest the mix of trade-off and pecking order theory predictions and are consistent with findings of previous studies. Future research should focus on impact of leverage deficit (deviations from target leverage ratio) on corporate decisions in Europe

A Coevolutionary Journey of Strategic Knowledge Management Alignment: A Chinese Case

Although knowledge has emerged as the strategic resource of the firm in the increasingly turbulent and dynamic environment, it is underestimated how knowledge management (KM) contributes to sustained competitive advantage of the firm over time. Drawing upon a coevolutionary view of alignment, this study examines a strategic KM coevolutionary mechanism in which KM strategy, processes, and infrastructure dynamically align with the changing competitive strategy; in turn, the KM derived competitive advantage drives the firm to pursue a more superior position in its niche. To trace the coevolutionary mechanism, we conducted a case study in Li-Ning Company, which experiences 20 years’ development and has become a leading sports goods company in China. Two strategic transitions result in the corresponding changes of its KM strategy, KM processes and infrastructure. The cumulated knowledge helps the firm upgrade from an imitator to a prospector with balanced performance portfolio. Theoretical and managerial implications are discussed