Steering a Complex Adaptive System: A Complexity Science Design Methodology Applied to an Industrial Ecosystem in the Humber Region, UK

Complexity science is in the forefront of contemporary scientific development; its rise and development triggered the breakthrough and innovation of methodology in scientific research. Curriculum is a complex adaptive system. Complexity curriculum research also includes nonlinearity, uncertainty, self-organization and emergent properties.

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Health as a Complex Adaptive System: a new dimension of patient care in internal medicine and general practice

F1000Research ◽

10.12688/f1000research.9042.1 ◽

2016 ◽

Vol 5 ◽

pp. 1672

Author(s):

Johannes Bircher ◽

Eckhart G. Hahn

Keyword(s):

Adaptive System ◽

Complex Adaptive System ◽

Therapeutic Potential ◽

The Past ◽

Complex Interactions ◽

System A ◽

Current State ◽

Concept Of Health ◽

Environmental Determinants Of Health ◽

Complex Adaptive

This paper explores the diagnostic and therapeutic potential of a new concept of health. Investigations into the nature of health have led to a new definition that explains health as a complex adaptive system (CAS) and is based on five components (a-e). Humans like all biological creatures must satisfactorily respond to (a) the demands of life. For this purpose they need (b) a biologically given potential (BGP) and (c) a personally acquired potential (PAP). These properties of individuals are embedded within (d) social and (e) environmental determinants of health. Between these five components of health there are 10 complex interactions that justify health to be viewed as a CAS. In each patient, the current state of his health as a CAS evolved from the past, will move forward to a new future, and has to be analyzed and treated as an autonomous whole. A diagnostic procedure is suggested as follows: together with the patient, the five components and 10 complex interactions are assessed. This may help the patient to better understand his situation and to recognize possible next steps that may be useful for him to evolve toward more health by himself. In this process mutual trust in the patient-physician interaction is critical. The described approach offers new possibilities to help patients to improve their health.

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A solution for the chicken and egg paradox in taxi e-hailing platforms: some evidence from the MyTaxi – FreeNow case

Kybernetes ◽

10.1108/k-08-2020-0523 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Mario Tani ◽

Ciro Troise ◽

Gianpaolo Basile

Keyword(s):

Design Methodology ◽

Best Practice ◽

Closed Loop ◽

Adaptive System ◽

Complex Adaptive System ◽

Higher Order ◽

System Perspective ◽

Content Type ◽

Complex Adaptive

Purpose This study aims to explore the chicken and egg paradox in the taxi e-hailing business contributing to define a condition of system emergence. This paradox is a meaningful one as these platforms represent a system where the passengers systems have no reason to participate if they have no drivers-systems to answer their call, but, at the same time, the platform is not useful to the drivers-system if there are no passengers-systems using the platform. Design/methodology/approach To understand how this paradox has been dealt with in the taxi e-hailing business, this study focused on a case study on a best practice in Italian taxi e-hailing industry (i.e. MyTaxi/FreeNow). This study wants to comprehend which actions have been implemented to solve this paradox and has tried to identify the interconnections between the various strategies to create a closed loop diagram for further testing. Findings This study has found that the company did not choose a single “subsystem” (passenger or driver), but it has stimulated the creation of several mutually reinforcing motivation for have both subsystems interact to help the company grow. Originality/value To the best of the authors’ knowledge, this paradox has never been studied using the complex adaptive system perspective. This perspective is particularly useful in this case and in the similar ones with several different interacting factors that cannot be really studied without using a higher order perspective.

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Analyzing Emergence in Complex Adaptive System: A Sign-Based Model of Stigmergy

IEICE Transactions on Information and Systems ◽

10.1587/transinf.e94.d.2212 ◽

2011 ◽

Vol E94-D (11) ◽

pp. 2212-2218

Author(s):

Chuanjun REN ◽

Xiaomin JIA ◽

Hongbing HUANG ◽

Shiyao JIN

Keyword(s):

Adaptive System ◽

Complex Adaptive System ◽

System A ◽

Complex Adaptive

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A Conceptual Characterization of Value Creation in Hospitality and Tourism Firms from a Complexity Perspective

Journal of Creating Value ◽

10.1177/23949643211010854 ◽

2021 ◽

pp. 239496432110108

Author(s):

Francisco J Navarro-Meneses

Keyword(s):

Value Creation ◽

Adaptive System ◽

Complex Adaptive System ◽

Complexity Science ◽

Its Analysis ◽

Complex Adaptive ◽

Hospitality And Tourism ◽

Methodological Advance ◽

Analytical Frameworks

Hospitality and tourism firms are suffering more than others the devastating effects of the COVID-19 pandemic. Its recovery will require designing and implementing innovative value creation strategies that are hard to imagine with the simplifying cause-and-effect analytical frameworks so widespread today. Building on the narrative of the firm as a open complex adaptive system and the literature reviewed in economics and management, this article approaches value creation from the paradigm of complexity science and provides a conceptual bases that would allow value practitioners incorporate more realistic and holistic elements to its analysis. Several implications are outlined that could result from the adoption of this perspective and that might encourage a change in the mindset of scholars and firms’ managers. Guidelines for deeper exploration of value creation from complexity are also provided that could open new avenues for theoretical and methodological advance.

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