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This study aims to develop the first Theory of Technological Response and Progress in Chaos (TRPC) and examine the case of technological development during the COVID-19 pandemic. The research objectives of this study were to: identify the key technologies that act as a response mechanism during the chaos event, specifically in the case of COVID-19; examine how technologies evolve, develop and diffuse in an immediate crisis and a chaotic environment; theorise various types and periods of technological response and progress during the emergence of chaos and the stages that unfold; and develop policy-oriented recommendations and establish technological foundations to address subsequent chaos events.

This study used the grounded theory as a methodology with a mixed-method approach that included quantitative and qualitative methods. The authors used the quantitative method to assist with the qualitative step to build the TRPC theory. Accordingly, this study integrated machine learning and text mining approaches to the qualitative data analysis following the steps of the grounded theory approach.

As a result of the TRPC theory development process, the authors identified three types of technologies (survival, essential and enhancement technologies) and five types of periods (stable, initial, survival-dominant, essential-dominant and enhancement-dominant periods) that are specific to chaos-technology interactions. The policy implications of this study demonstrate that a required technological base and know-how must be established before a chaotic event emerges.

Concerning the limitations of this study, social media data has advantages over other data sources, such as the examination of dynamic areas and analyses of immediate responses to chaos. However, other researchers can examine publications and patent sources to augment the findings concerning scientific approaches and new inventions in relation to COVID-19 and other chaos-specific developments. The authors developed the TRPC theory by studying the COVID-19 pandemic, however, other researchers can utilise it to study other chaos-related conditions, such as chaotic events that are caused by natural disasters. Other scholars can investigate the technological response and progress pattern in other rapidly emerging chaotic events of an uncertain and complex nature to augment these findings.

Following the indications of the OECD (2021a) and considering the study conducted by the European Parliamentary Research Service (Kritikos, 2020), the authors identified the key technologies that are significant for chaos and COVID-19 response using machine learning and text intelligence approach. Accordingly, the authors mapped all technological developments using clustering approaches, and examined the technological progress within the immediate chaos period using social media data.

The key policy implication of this study concerns the need for policymakers to develop policies that will help to establish the required technological base and know-how before chaos emerges. As a result, a rapid response can be implemented to mitigate the chaos and transform it into a competitive advantage. The authors also revealed that this recommendation overlaps with the model of dynamic capabilities in the literature (Teece and Pisano, 2003). Furthermore, this study recommends that nations and organisations establish a technological base that specifically includes technologies that bear 3A characteristics. These are the most crucial technologies for the survival- and essential-dominant stages. Moreover, the results of this study demonstrate that chaos accelerates technological progress through the rapid adoption and diffusion of technologies into different fields. Hence, nations and organisations should regard this rapid progress as an opportunity and establish the prior knowledge base and technologies before chaos emerges.

The authors have contributed to the chaos studies and the relationship between chaos and technological development by establishing the first theoretical foundation using the grounded theory approach, hereafter referred to as the TRPC theory. As part of the TRPC theory, the authors present three periods of technological response in the following sequence: survival technology, essential technology and enhancement technology. Moreover, this study illustrates the evolving technological importance and priorities as the periods of technological progress proceed under rapidly developing chaos.

The purpose of this article is to expand the base of supply chain knowledge by applying chaos theory principles to selected supply chain functions.

Researchers borrow chaos theory from the natural sciences, provide a basic explanation, and then examine how it may be applied to enhance supply chain management techniques.

Chaos theory principles are used to assist in the examination of forecasting, product design, and inventory management challenges currently facing supply chain practitioners.

Application of chaos theory to various supply chain issues and key functional areas may produce an increase in the level of understanding of supply chain ambiguity and how chaos theory may provide valuable insight into the effective management of supply chain networks.

When applied correctly, chaos theory shows potential to be a tool that can be instrumental in helping explain why unpredictability occurs within nonlinear systems. A better understanding of this phenomenon may help researchers to develop better, more accurate models to assist managers in making better supply chain management decisions, benefiting organizations and customers by simultaneously enhancing cost‐effectiveness and improving customer service levels.

The principles of chaos theory have been introduced as a method that shows early promise as a tool to enhance supply chain effectiveness. Specific applications must now be examined through empirical research.

This article notes the growing attractiveness of concepts “borrowed” from chaos theory in organizational studies. Many of these interpretations display sentiments broadly congruent with a “postmodern” approach to organization. Indeed chaos theory itself is presented as part of a similar postmodern shift within natural science. However, these sentiments have been subject to stinging criticism by scientists. Here, the deterministic underpinning of chaos theory is used to show that chaos theory is an entirely modernist enterprise. In this case the indeterministic messages taken by organizational theorists are something of a misunderstanding. Consequently, I discuss whether this is enough to threaten the interdisciplinary status of chaos theory, particularly when it is used in a self-consciously ‘metaphorical’ fashion.

The purpose of this paper is to juxtapose chaos theory with organizational learning theory to examine whether public organizations co-evolve into a new order or rather institutionalize newly gained knowledge in times of a highly complex public health crisis.

The research design utilizes the results from a survey administered to 200 emergency management and public health officials in the Dallas–Fort Worth metroplex.

The findings of this paper suggest that public entities were more likely to represent organizational learning through the coordination of professionals, access to quality information, and participation in daily communication. Leadership was associated with the dissemination of knowledge through the system rather than the development of new standard operating procedures (as suggested by chaos theory and co-evolution).

There are limitations to this study given the purposive sample of emergency management and public health officials employed in the Dallas–Fort Worth metroplex.

The authors find that public organizations that learn how to respond to unprecedented events through reliance on structure, leadership, and culture connect decision makers to credible information resulting in organizational learning.

As a result, public administrators need to focus and rely on their organization’s capacity to receive and retain information in a crisis.

This research contributes to our understanding of organizational learning in public organizations under highly complex public health situations finding decisions makers rely on both organizational structure and culture to support the flow of credible information.

The purpose of this paper is to describe how order‐generated rules applied to organizing form dualities can assist in creating the conditions for emergent, self‐organized behavior in organizations, thereby offering an operational deployment of complexity theory.

The paper begins by showing that the concept of dualities is consistent with complexity‐thinking. In addition, when applied to organizing forms, dualities represent a practical way of affecting an organization's balance between chaos and order. Thus, when augmented with order‐generating rules, organizing form dualities provide an access point for the practical instigation of edge of chaos conditions and the potential for emergence.

The paper maintains that many attempts to “manage” complexity have been associated with changes to organizing forms, specifically toward new forms of organizing. It is suggested that organizing form dualities provide some management guidance for encouraging the “edge of chaos” conditions advocated in complexity theory, although the details of self‐organization cannot be prescribed given the assumptions of non‐linearity associated with complexity theory perspectives. Finally, it is proposed that organizing dualities can elucidate the nature and application of order‐generating rules in non‐linear complex systems.

Dualities offer some guidance toward the practical implementation of complexity theory as they represent an accessible sub‐system where the forces for order and chaos – traditional and new forms of organizing respectively – are accessible and subject to manipulation.

The commonalities between dualities and complexity theory are intuitive, but little conceptual work has shown how the former can be employed as a guide to managing organizing forms. Moreover, this approach demonstrates that managers may be able to stimulate “edge of chaos” conditions in a practical way, without making positivistic assumptions about the causality associated with their efforts.

The purpose of this paper is to explicate chaos theory metaphorically from a social science perspective to expand upon a relatively new theoretical framework for crisis communication in the public sector. Using the 2002 Washington, DC, area sniper shootings as a case study, the author unravel chaos theory in terms of a public safety crisis that required crisis communication by government officials.

The author analysed front-page coverage in The Washington Post and The New York Times as well as CNN coverage during the three weeks of the sniper shootings, 2 October through 25 October. In total, 56 (69 per cent) of the newspaper stories were published in The Washington Post, and 78 news segments were used from CNN archives. Each story was reviewed for evidence of chaotic elements and crisis communication responses using a code sheet, and the resulting thematic analysis created a composite description of the case.

This case exhibited the main characteristics of a chaotic system, including fractals, error of scale, bifurcation points, self-organisation, feedback, and strange attractors. The results describe how each element of chaos influenced the crisis communication efforts.

To date, there is no known research on law enforcement's efforts in crisis communication during the DC sniper shootings. There is also limited research in chaos theory and crisis response. This research may aid in communication efforts during future public safety crises and disasters.

This article addresses issues associated with applications of ideas from “chaos theory” to educational administration and leadership as found in the literature. Implications are considered in relation to claims concerning the behaviour of non‐linear dynamic systems, and to the nature of the interpretations and recommendations that are made. To aid the analysis a simple non‐linear model is constructed and its behaviour simulated. Questions emerging from the analysis are used to focus on issues deemed significant, both for evaluating arguments presented on behalf of chaos, and for furthering insights aimed at enhancing the understanding and practice of leadership in organisations.

This paper considers supply chain management organizations with the aid of 'chaotic systems theory' developed originally in physics and mathematics. Since innovations in supply chain management are vital for organizational survival 'complex systems theory' may assist in fine-tuning managerial philosophies that provide stability in supply chain management because it is on the boundary of chaos that the greatest innovational creativity occurs. Neither 'management by rigid objectives' (MBO) nor 'management by instruction' (MBI) will be suitable for the information society of the twenty-first century because chaotic social systems will no longer be effectively managed. However, the capacity for self-organization will be derived essentially from how supply chain management members accept a shared set of values or principles for action-'management by values' (MBV). Complex systems theory deals with systems that show complex structures in time or space, often hiding simple deterministic rules. This theory holds that once these rules are found, it is possible to make effective predictions and even to control the apparent complexity. The state of chaos that self-organizes is attributable to the appearance of the 'strange attractor' and provides the ideal basis for creativity and innovation in the twenty-first century. In the self-organized state of chaos, social members are not confined to narrow roles and gradually develop their capacity for differentiation and relationships, growing progressively towards their maximum potential contribution to the efficiency of the organization. In this meaning, values act as organizers of 'attractors' of disorder, which, in the theory of chaos, are systems represented by usually regular geometric configurations that predict the long-term behavior of complex systems. In supply chain management organizations (as in all kinds of social systems) the initial principles end up as the final principles in the long term. An attractor is a model representation of the behavioral results of the system. The attractor is not a force of attraction or a goal-oriented presence in the system; it simply depicts where the system is heading based on its rules of motion. In supply chain management organizations that cultivate or shares values of autonomy, responsibility, independence, innovation, creativity, and proactivity, the risk of short-term chaos is mitigated by external complexities that organizations are currently confronting. The strategy is to alter the supply chain management's surroundings so that they can benefit from management by values (MBV).

The purpose of this paper is to survey literature on macroeconomic nonlinear dynamics.

The paper identifies five influential types of models where the possible generation of endogenous cycles and chaotic motion arises. First, the frameworks that make use of the one‐hump logistic type equation; second, the models inspired on the growth literature of the 1940s; third, intertemporal utility maximization problems with increasing returns; fourth, models that can be represented as piecewise dynamic maps; and, fifth, bounded rationality – heterogeneous expectations setups.

The attention will be mainly focused on the theme of business cycles; an interpretation of the deterministic real business cycle model with increasing returns is proposed and a graphical analysis of the underlying system shows that strange attractors are observable for specific sets of parameter values.

The study of endogenous cycles in macroeconomic literature has important implications for policy: if fluctuations are due to deterministic reasons this may imply that by manipulating policy parameters governments may be able to change the qualitative nature of the economy's dynamics.

The paper gives a comprehensive view of nonlinear dynamics in macroeconomics. It shows that various relevant subjects might be addressed in this kind of models, e.g. economic growth, asset pricing, business cycles, consumption decisions, among others.

Building on the contributions of chaos and complexity theories, this paper aims to conceptualize how the leadership of Mahatma Gandhi, Martin Luther King and Nelson Mandela were able to transform chaos (randomness) into order (integration). More specifically, it aims to identify the qualities by which such leadership worked in the context of conflict and cultural confrontations, which is, leading at the edge of chaos.

This research follows a qualitative approach in data collection and analysis; it narrates and analyses biographic data as well as literature about these three prominent leaders. Common qualities of these leaders are explored in-depth, discussed and linked.

Success in leading at the edge of chaos was attributed to the following leadership qualities: vision, non-violence and tolerance. This paper conceptualizes Gandhi, King and Mandela's embodiment of these qualities in transforming difference and disagreement to unity and how they inspired and developed their societies at home and all over the world. This paper concludes with the following results: Dr King, Gandhi and Mandela were visionary leaders; the three leaders had a vision about the future of freedom, equality and peace. More importantly, they were able to hearts and minds, and convey their visions to followers and to society at large. They struggled to achieve their goals non-violently, but knew that violence could destroy society due to unbalanced power structures. In the fight for their people's emancipation/freedom, they avoided ethnic, racial and religious discrimination. The three leaders were politically, culturally and socially tolerant.

By identifying their leadership qualities and analyzing their leadership mechanisms, this paper stresses the necessity of the emergence and preservation of leadership as exhibited by King, Gandhi, Mandela and many other influential leaders. Leaders, committed to enrichment and sustainability of cultural diversity and nurturing of tolerance, can play a role in unifying nations. Practically put, today’s leaders need to rethink their strategies, by taking into consideration what Gandhi, King and Mandela have contributed to leadership in dealing with cultural diversity and conflict. Furthermore, leaders must extend the applicability of such leadership to include the ending of violence in every facet of people's lives, and work publicly to overcome the challenges encountering human kind such as nuclear weapons, war, poverty, racism, global warming, drugs, religious bigotry and violence of any kind. That is, today's leaders need to lead at the edge of chaos due to the ongoing conflicts around the globe.

This paper uniquely conceptualizes leadership qualities by analyzing and comparing literature and biographical data of the above-mentioned leaders. The study also contributes to the existing literature on leadership using an interdisciplinary approach by proving the mechanisms by which leadership transforms chaos into order within the context of cultural diversity and confrontation, where studies are rare. This research contributes to the theory of leaderships at three levels. First, it offers an interdisciplinary theory on leadership qualities by linking these qualities with chaos and complexity theories. Second, unlike the majority of literature which views leadership from a business or public leadership perspective, this research provides a new perspective of leadership for cultural diversity. Third, it highlights the role models of three exemplary leaders for each of whom previous literature is lacking.