Systems Theoretical Perspective Research Articles

From media evolution to the Anthropocene: Unpacking sociotechnical autopoiesis

AbstractThe Anthropocene, a term encapsulating humanity's significant impact on Earth's geology, is analysed from a media and socio‐evolutionary lens. The exploration investigates the correlation between human socio‐evolution, media, technology, and the inception and progression of the Anthropocene era. By employing a systems theoretical perspective, this research heavily draws on the theories of German sociologist Niklas Luhmann. Insights from the American philosopher Levi Bryant are also integrated to elucidate the relationship between humans, technology and the Earth's geological state. It is posited that society, as we understand it, emerged with the advent of spoken language. This language‐based communication system shaped cooperation within the human population. Over time, the interplay between biology, consciousness and social structures, driven by language‐based communication in different communication media, has deeply influenced Earth's climate. The evolution of communication media has continuously expanded humanity's capacity to influence its environment. The article provides a comprehensive explanatory model, suggesting that the social structures formed by these media profoundly impact Earth's geology, challenging conventional notions surrounding the origins and implications of the Anthropocene era.

“Breaking Bread, Breaking Barriers”: An Ecological systems theoretical analysis of Food Insecurity in South African Higher Education Institutions

Food insecurity is an increasingly pressing issue in South Africa, affecting higher education institutions. The country’s prevalent poverty and unemployment rates, exacerbated by the economic impact of the COVID-19 pandemic, have led to reduced funding for higher education institutions. As a result, students’ well-being is compromised, with many experiencing hunger and difficulties in their academic progress. While existing literature addresses food insecurity in South African higher education institutions, a comprehensive understanding from a systems theoretical perspective is lacking. This study applies Bronfenbrenner’s ecological systems theory, a multi-level analysis framework, to examine the complexities of food insecurity in South African higher education institutions. The analysis explores the microsystem, mesosystem, exosystem, macrosystem, and chronosystem dimensions of food insecurity as a multidimensional challenge requiring holistic response strategies. Drawing on scholarly literature, news articles, and reports from governmental and non-governmental organisations, this qualitative research sheds light on the multifaceted nature of food insecurity challenges in higher education institutions, with a specific focus on student development. Insights from Bronfenbrenner’s ecological systems theory enhance the understanding of the barriers to student well-being and academic success and underscore the need for targeted interventions. The findings contribute to the literature on food insecurity as a complex problem and guide policy decisions, interventions, and initiatives.

EVALUATING GOAL THREAT IN FOOTBALL USING PLAYER AND BALL LOCATIONS

Goal scoring in football is relatively low but vitally important, hence research has considered how goals are created and scored with measures such as expected goals prevalent. The dynamical systems theoretical perspective, considers a collective system, such as football, as existing in two states, stable (no substantive advantage for either team) or unstable (advantage present). Hence, goal scoring events occur when the system has become unstable, with a “perturbation” the event causing the system state change. Here, a “goal threat” value was calculated every second (scaled from 0 to 100) using the XY coordinates of players and the ball, weighted in relation to proximity to the goal (a potential proxy for the degree of system instability). Video recordings and synchronised Amisco 2D representations of goals (n=64) scored in Swansea City AFC English Premier League 2012/2013 matches (n=20) were analysed using Dartfish v10 Pro software. Each goal was analysed from when the play was judged to be stable (no obvious goal scoring opportunity), or the start of possession, until the goal had been scored. Goals were not always preceded by high goal threat values (maximum goal threat values ranged from 13.4 to 99.0). The authors independently subjectively determined that perturbations occurred up to 7 seconds from when the goal threat value increased by at least 40%. Thus, perturbations were not directly related to goal scoring opportunities. This novel method provides a useful, quantifiable, and simple measure of goal threat that may also aid audience engagement and measure defensive effectiveness.

Reflections on energy, information and fields from psychoanalytic and systems theoretical perspectives

AbstractThe story of energy as a focus of psychoanalysis began with Freud and was conceptualized further by C. G. Jung. For him, energy enlivens the human psyche, drawing people towards ideas and activities, forming and re‐forming us through the ways it moves and the content it carries. This article examines how psychological energy forms the experience of individuals, informing us about conscious and subconscious states of the human psyche as it engages with its environment. We examine how psychological energy forms the experience of groups, creating qualitatively linked behaviours, constraints and potentials that Jung and others conceived of as psychological ‘fields’. The concept of energy as a property of psychological systems contributes to our understanding of the human experience. Though rarely conscious, it impacts the phenomenological experience of both individuals and groups, who cope with it in both generative and destructive ways.

Old and New Organizational Forms in a Complex Society: A Systems-Theoretical Perspective

This contribution demonstrates the potential of Niklas Luhmann’s organization theory to enrich current research on organizational phenomena. Although this theory originated more than half a century ago, we show that it is a powerful instrument to describe and understand the role that different old and new forms of organizations play in current crises and transformation processes. Hereby, we stress two combined advantages of the theory: (1) Luhmann offers a strong concept of organizations as self-referential networks of decisions. This helps to distinguish them from other social entities, for example, groups, social networks, or families. Moreover, the assumption of ‘substitutability of structures’ allows us to grasp the dynamics of a variety of organizations and does not fail to confront even ‘fluid’, ‘virtual’, ‘temporary’, and ‘unconventional’ forms of organization unknown at the time of the theory’s origin. (2) This theory of organization is unique as it is embedded in an encompassing theory of society that offers several concepts suitable to explain the reciprocal influence of organizations and broader social contexts. This prevents any under- and overestimation of the organization phenomenon in modern society.

Leveraging synergy to drive digital transformation: A systems-theoretic perspective

Given the strategic importance of digital transformation, IS research pays meticulous attention to identifying its key drivers, including awareness, motivation, and capability. Nevertheless, the interaction and synergy among these drivers remain conceptually and empirically understudied. Our study tries to address this research gap. We first consider digital proactiveness as awareness, change commitment as motivation, and organizational flexibility as the capability driver of digital transformation. Drawing on systems theory, this study proposes the synergy of these three key drivers in steering digital transformation. Recent data from 206 Dutch firms support the existence of synergy, showing that digital proactiveness, change commitment, and organizational flexibility contribute jointly to digital transformation. Our analysis reveals that the effect of organizational flexibility on digital transformation is highest when digital proactiveness and change commitment are both at a high level. This study extends our understanding of the complementary and synergistic digital transformation drivers and broadens research in this tradition by considering the synergy of awareness, motivational, and capability drivers in driving digital transformation.

The Role of Management Science in Forming Next Era Semantics

AbstractThe author has previously in a social system theoretical perspective outlined a position for engaged scholarship in bridging the gulf between theorizing and practice. Partaking as “midwives” for shared semantics in a polycentric network was analyzed as one role for engaged scholars to assist. This paper, however, argues that for a shared semantic reservoir for “next era” leadership and management to form, one more layer of reflection is needed: how to manage “backwards” from the future. The paper also addresses geographic inclusion/exclusion, which seems to be reinforced as digitalization and abstract knowledge are gaining ground, even though bits and abstract knowledge should easily be detached from spatial limitations. Research programs targeting “grand challenges” and “grand solutions” is defined by megaprojects defined and financed by large foundations or other large-scale actors, and well-connected international research centers and research networks are needed to influence this agenda-setting. The paper argues that forming regional polycentric networks (including scientific research scholars) may to a greater extend bridge the global agendas with local and regional issues to not be excluded in a transition process.

Contextures of hate: Towards a systems theory of hate communication on social media platforms

ABSTRACT We inquire into different perspectives and patterns of problematizing online hate speech within the social sciences from a systems-theoretical perspective. Our results identify five different research perspectives adopted by studies on the issue: (1) systematic perspectives on problems of operationalizing (online) hate speech; (2) intentionalist perspectives on actors and their motives; (3) consequentialist perspectives on victims of online hate speech; (4) perspectives on media affordances, infrastructures, and strategies of online hate speech; and finally, (5) normative perspectives on the consequences of online hate speech. Additionally, we want to propose a functionalist perspective on hate communication and, for this purpose, develop a systems-theoretical and media-sociological framework for analyzing online hate speech. A systems-theoretical perspective connects to a process-oriented paradigm of doing hate speech. Instead of asking what hate speech is, a systems-theoretical framework focuses on how different communicative contextures empirically produce different understandings of hate communication. We will make four research proposals: We will (1) conceptualize hate as hate communication, then proceed to (2) analyze different communicative contextures, (3) develop media archeology of negation and conflict communication, and finally (4) focus on the function of conflict and hate communication for the emergence of (counter-)publics.

Advice as a Form of Structural Coupling: Intersystem Organizations and Scientific Communication in the Japanese Response to COVID-19.

A critical issue in the study of scientific communication from a systems theoretical perspective is its role in multiple intersystem relationships. During COVID-19, politics has adopted scientific findings to inform political decisions. However, science has in response actively coordinated its operations for providing desired stimuli to politics. Luhmann identified advice as a form of structural coupling that links political and scientific systems. Advice is not a monolithic intervention by which one side acts on the other but is rather an interface that enables the two systems to relate through distancing. In this article, I empirically illustrate how the structural coupling of the political system and scientific system through advice manifests itself in an examination of the roles that various organizations (expert meeting and cluster task forces) have played in Japan's response to COVID-19. Through this analysis, I provide a theoretical insight regarding these organizations and a more detailed case analysis of the transformation of certain organizations to re-describe the system theoretical insights of advice in the form of scientific communication between politics and science.

A Systems-Theoretic Perspective to the Translation of Company Profiles from Chinese into English

A translation system is made up of a source text subsystem and a target text subsystem. The elements in the system are interrelated and exert influence on each other. Translation studies from a systems-theoretic perspective focus primarily on literary texts, while business discourses are seldom explored. In order to assess the translation quality of company profiles, a three-level model from the systems theory perspective has been proposed. The three levels are the preliminary data level, the discourse level, and the contextual level. The results show that the translator should attach great importance to improving and restructuring the source text and reconstructing experiential meaning, interpersonal meaning, and textual meaning. The translation should be reader-oriented and adapt to the cultural context of the target language.

On the Dynamics of the Tavis–Cummings Model

The purpose of this paper is to present a comprehensive study of the Tavis-Cummings model from a system-theoretic perspective. A typical form of the Tavis-Cummings model is composed of an ensemble of non-interacting two-level systems (TLSs) that are collectively coupled to a common cavity resonator. The associated quantum linear passive system is proposed, whose canonical form reveals typical features of the Tavis-Cummings model, including $\sqrt{N}$- scaling, dark states, bright states, single-excitation superradiant and subradiant states. The passivity of this linear system is related to the vacuum Rabi mode splitting phenomenon in Tavis-Cummings systems. On the basis of the linear model, an analytic form is presented for the steady-state output state of the Tavis-Cummings model driven by a single-photon state. Master equations are used to study the excitation properties of the Tavis-Cummings model in the multi-excitation scenario. Finally, in terms of the transition matrix for a linear time-varying system, a computational framework is proposed for calculating the state of the Tavis-Cummings model, which is applicable to the multi-excitation case.

A Systems Theory of Transfer Learning

Existing frameworks for transfer learning are incomplete from a systems theoretic perspective. They place emphasis on notions of domain and task, and neglect notions of structure and behavior. In doing so, they limit the extent to which formalism can be carried through into the elaboration of their frameworks. Herein, we use the Mesarovician systems theory to define transfer learning as a relation on sets, and subsequently, characterize the general nature of transfer learning as a mathematical construct. We interpret existing frameworks in terms of ours and go beyond existing frameworks to define notions of transferability, transfer roughness, and transfer distance. Importantly, despite its formalism, our framework avoids the detailed mathematics of the learning theory or machine learning solution methods without excluding their consideration. As such, we provide a formal, general systems framework for modeling transfer learning that offers a rigorous foundation for system design and analysis.

Passivity, port-hamiltonian formulation and solution estimates for a coupled magneto-quasistatic system

In this paper, we study a quasilinear coupled magneto-quasistatic model from a systems theoretic perspective. First, by taking the injected voltages as input and the associated currents as output, we prove that the magneto-quasistatic system is passive. Moreover, by defining suitable Dirac and resistive structures, we show that it admits a representation as a port-Hamiltonian system. Thereafter, we consider dependence of the solution on initial and input data. We show that the current and the magnetic vector potential can be estimated by means of the initial magnetic vector potential and the voltage. We also analyse the free dynamics of the system and study the asymptotic behavior of the solutions for $ t\to\infty $.

Understanding Emergent Dynamism of Covid-19 Pandemic in a City.

Predicting the evolution of a pandemic requires precise understanding of the pathogen and disease progression, the susceptible population group, means of transmission, and possible control mechanisms. It has been a significant challenge as Covid-19 virus (SARS-CoV-2 family) is not well understood yet; the entire human population is susceptible, and the virus transmits easily through airborne particles. Given its size and connectedness, it is not feasible to test the entire population and to isolate the infected individuals. Moreover, rapid and continuous mutation of virus open up the possibility of reinfection. As a result, the evolution of pandemic is not uniform and in-step throughout the world but is significantly influenced by local characteristics pertaining to people, places, dominant virus strain, extent of vaccination, and adherence to pandemic control interventions. Traditional macro-modelling techniques, such as variations of SEIR models, provide only a coarse-grained, ‘lumped up’ understanding of the pandemic which is not enough for exploring and understanding possible fine-grained factors that are effective for controlling the Covid-19 pandemic. This paper explores the problem space from a system theoretic perspective and presents a fine-grained city digital twin as an in-silico experimentation aid to understand the complex interplay of factors that influence infection spread and also help in controlling the Covid-19 pandemic. Our focus is not to speculate the possibility of the next wave or how the next wave may look like. Instead, we systematically seek answers to questions such as: what are indicators should we consider for a future wave? What are the parameters that may influence those indicators? When and why should they be tweaked (in terms of interventions) to control unacceptable situations? We validate our approach on the second and third waves of Covid-19 pandemic in Pune city.

Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

In this article, we propose a tractable nonlinear fault estimation filter along with explicit performance bounds for a class of linear dynamical systems in the presence of both additive and nonlinear multiplicative faults. We consider the case, where both faults may occur simultaneously and through an identical dynamical relationship, a setting that is relevant to several application domains, including automotive driving, aviation, and chemical plants. The proposed filter architecture combines tools from model-based approaches in the control literature and regression techniques from machine learning. To this end, we view the regression operator through a system-theoretic perspective to develop operator bounds that are then utilized to derive performance bounds for the proposed estimation filter. In the case of constant, simultaneously, and identically acting additive and multiplicative faults, it can be shown that the estimation error converges to zero with an exponential rate. The performance of the proposed estimation filter in the presence of incipient faults is validated through an application on the lateral safety systems of SAE level 4 automated vehicles. The numerical results show that the theoretical bounds of this study are indeed close to the actual estimation error.

A unified theory of emergent equilibrium phenomena in active and passive matter

Recent attempts towards a theory of active matter utilize concepts and methods from hydrodynamics, kinetic theory, and non-equilibrium statistical physics. However, such approaches typically do not seem to recognize the critical feature of some kinds of active matter (particularly the biological ones), namely, the role of purpose, and the naturally attendant concept of the pursuit of maximum utility, which we believe is the crucial difference between active and passive matter. Here we introduce a novel game-theoretic framework, statistical teleodynamics, that accounts for this feature explicitly and show how it can be integrated with conventional statistical mechanics to develop a unified theory of arbitrage equilibrium in active and passive matter. We propose a spectrum of self-actualizing capabilities, going from none to completely strategic decision-making, and envision the various examples of active matter systems occupying someplace in this spectrum. We show how statistical teleodynamics reduces to familiar results in statistical mechanics in the limit of zero self-actualization. At the other extreme, in an economic setting, it provides novel insights about the emergence of income distributions and their fairness in an ideal free-market society. As examples of agents in between these limits, we show how our theory predicts the behavior of active Brownian particles, the emergence of ant craters, and phase equilibria in social segregation dynamics. We suggest that our theory offers a novel systems theoretic perspective of emergent phenomena that could serve as the starting point for a more comprehensive theory of design, control, and optimization through self-organization.

Internal Mechanisms of Human Motor Behaviour: A System-Theoretical Perspective.

The authors present the conceptual and system-theoretical model of human motor behaviour. The main assumption is that movement is the only observable manifestation of all psychical processes, thus, it is the only phenomenon enabling the creation of hypotheses concerning the psychological conditioning of human behaviour. They pointed to the fact that in the field of biology, and all the more, in psychology, mathematical descriptions are hardly eligible. In this respect, a system-theoretical approach seems to be appropriate. The authors present two systems: information processing modalities in the human mind, based on Nikolai Bernstein’s theory, and the series of processes from stimuli reception to motor response execution. Both these sub-systems make up a super-system. Its simplified graphical representation may be termed “Column Diagram.” The authors analyse the functioning of this super-system in various intellectual-motor purposeful operations. The system-theoretical perspective enables clear categorisation of various human motor operations, their “driving” mechanisms, internal patterns, and their superficial physical and/or mathematical “appearance.” The stream of consciousness in a human motor operation joins the various psychological constructs, which are reception, perception, attention, motivation, intellect, memory, etc., into one coherent, inseparable system.

How Is Collective Identity Possible in Democracies? Political Integration and the Leitkultur Debate in Germany

The quest for a common collective identity has become a challenge for modern democracy: Liberal demands for greater inclusion and individual freedom, aspirations for a strong and solidaric political community, as well as nationalist or right-wing populist calls for exclusion and a preservation of hegemonic national identities are creating tensions that cannot be overlooked. This article therefore formulates the central question of how collective identity can be possible in a liberal democracy. Based on a case study on Germany, it will therefore be examined whether Leitkultur as a model of political integration can serve in generating a functional democratic collective identity. The necessary benchmarks guiding the analysis will be defined beforehand from a systems-theoretical perspective, balancing inclusion and exclusion within three crucial dimensions: normative basics, historic continuity, and affirmative bindings. The results show that a static definition of a German Leitkultur would in the long run neither achieve functional inclusion nor be able to generate the necessary cohesion of a political community, especially regarding the second and third identity dimensions.

Utilizing Systems Theory Insights and Reflexive Law to Negotiate the “Collision between… Un-connecting Worlds” in Family Law

Abstract This article defends an analytical framework based on systems theory, reflexive law, and Teubner’s regulatory trilemma. J v B exemplifies the numerous overlapping social relations, and forms a case study on the relationship between the State, community, and minority religious individuals, and on how this relationship can break down from the systems theoretical perspective. The article uses this case as a testing ground for a modified systems theoretical approach, treating this conflict between family law and religion as a regulatory problem. Although it centers on English family law, the article should be read as a piece of normative legal theory of general application. In the final section, it explores reflexive secularity and how this may apply in cases where law and religion interact, such as J v B.

Diabolical perspectives on healthy morality in times of COVID-19

PurposeThe paper combines the systems theoretical perspective on the evolution of societal differentiation and the emergence of codes in communication. By combining the approach by Niklas Luhmann with a historical theology on the development of Christian morality split between God and Devil, it recreates a sociological point of observation on contemporary moral forms by a temporary occupation of the retired Christian Devil.Design/methodology/approachThe article combines a Luhmannian systems theoretical perspective on the evolution of societal differentiation with a concept of emerging codes in communication. The latter is based on on the development of a Christian view of morality being split between God and Devil. It establishes a sociological point of observation on contemporary moral forms through the temporary invocation of the retired figure of the Christian Devil.FindingsThe proposed perspective develops a healthy perspective on the exuberant distribution of a health(y) morality across the globe during the pandemic crisis of 2020–21. The temporary invocation of the retired Christian Devil as point of departure in this sociological analysis allows for a disturbing view on the unlimited growth of the morality of health and its inherent dangers of dedifferentiating the highly specialised forms of societal differentiation and organisation.Originality/valueBy applying the diabolical perspective, the analytical framework creates a unique opportunity to observe the moral encodings of semantic forms in detail, while keeping the freedom of scientific enquiry to choose amongst available distinctions in the creation of sound empirical knowledge. This article adopts a neutral stance, for the good of sociological analysis. The applications of the term “evil” to observations of communication are indifferent to anything but itself and its qualities as scientific enquiry.